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The Transeurope Footrace Project: longitudinal data acquisition in a cluster randomized mobile MRI observational cohort study on 44 endurance runners at a 64-stage 4,486km transcontinental ultramarathon
BMC Medicine volume 10, Article number: 78 (2012)
The TransEurope FootRace 2009 (TEFR09) was one of the longest transcontinental ultramarathons with an extreme endurance physical load of running nearly 4,500 km in 64 days. The aim of this study was to assess the wide spectrum of adaptive responses in humans regarding the different tissues, organs and functional systems being exposed to such chronic physical endurance load with limited time for regeneration and resulting negative energy balance. A detailed description of the TEFR project and its implemented measuring methods in relation to the hypotheses are presented.
The most important research tool was a 1.5 Tesla magnetic resonance imaging (MRI) scanner mounted on a mobile unit following the ultra runners from stage to stage each day. Forty-four study volunteers (67% of the participants) were cluster randomized into two groups for MRI measurements (22 subjects each) according to the project protocol with its different research modules: musculoskeletal system, brain and pain perception, cardiovascular system, body composition, and oxidative stress and inflammation. Complementary to the diverse daily mobile MR-measurements on different topics (muscle and joint MRI, T2*-mapping of cartilage, MR-spectroscopy of muscles, functional MRI of the brain, cardiac and vascular cine MRI, whole body MRI) other methods were also used: ice-water pain test, psychometric questionnaires, bioelectrical impedance analysis (BIA), skinfold thickness and limb circumference measurements, daily urine samples, periodic blood samples and electrocardiograms (ECG).
Thirty volunteers (68%) reached the finish line at North Cape. The mean total race speed was 8.35 km/hour. Finishers invested 552 hours in total. The completion rate for planned MRI investigations was more than 95%: 741 MR-examinations with 2,637 MRI sequences (more than 200,000 picture data), 5,720 urine samples, 244 blood samples, 205 ECG, 1,018 BIA, 539 anthropological measurements and 150 psychological questionnaires.
This study demonstrates the feasibility of conducting a trial based centrally on mobile MR-measurements which were performed during ten weeks while crossing an entire continent. This article is the reference for contemporary result reports on the different scientific topics of the TEFR project, which may reveal additional new knowledge on the physiological and pathological processes of the functional systems on the organ, cellular and sub-cellular level at the limits of stress and strain of the human body.
Various aspects of the physical characteristics of recreational and elite level runners up to marathon distance events have been reported [1–9]. Much less has been written about the anthropometric characteristics of ultra endurance runners [10–14]. The case and field studies of Knechtle et al. developed a growing knowledge about the physical characteristics of multistage ultra endurance runners in the past years [15–22]. The German Ultramarathon Association (DUV) defines foot-races of 50 km or longer as ultramarathons (UM). Multistage ultramarathons (MSUM) are races in which each stage has a distance of a UM. Besides a few case reports very little has been reported about the medical aspects of runners doing a transcontinental extended MSUM over several weeks . Until now, there have been no reports published regarding UM running over more than 1,500 km. However, prolonged MSUM races offer the best opportunity to study physical adaptation and the associations of the physiological parameters of athletes in a longitudinal setting day by day.
Among some very heroic solo runs, the TransEurope FootRace 2009  (TEFR09) was the 11th official transcontinental competition multistage footrace within living memory (Table 1) [25–33]. This second European transcontinental MSUM took place from 19 April to 21 June 2009 from Bari, South Italy (41° 8' N, 16° 52' E) to the North Cape, Norway (71°10'N, 25°47'E) (Figure 1). Sixty-seven ultra endurance runners (mean age 50.7 years, range 26 to 74 years, male 56 (83.6%)) from 12 nations (Germany, Japan, Netherlands, France, Switzerland, Norway, Sweden, Finland, Turkey, South Korea, Taiwan, USA) met the challenge and tried to cross six countries (Italy, Austria, Germany, Sweden, Finland, Norway). This comprised running 4,487 km (2,788 miles) in 64 stages without any day of rest. Thus, they expected to complete an average stage distance of 70.1 km, representing 1.7 marathon distances (minimum: 44 km, maximum: 95.1 km) .
All participants organized their arrival at Bari on their own. Following breakfast at 5:00 a.m., the daily stage started at 6:00 a.m. The race director, together with his staff, planned the stages with their corresponding distances and ascent or descent and organized the accommodations for the runners in halls as well as the food for each stage. In addition, most of the runners carried individual nutrition on their own. Depending on the stage length, five to ten stop points for nutrition were placed on the daily routes. After each stage the runners had time on their own (nutrition, sleeping, regeneration). Depending on the stage length and local situation, dinner was served between 5:00 and 9:00 p.m. The runners slept in camping grounds (mainly in Italy), local sport halls or local community halls at the stage destinations (9:00 p.m. to 4:00 a.m.). Sometimes the quarters were crowded resulting in difficult sleeping conditions. In total, the runners had about 7 to 13 hours of rest per day for recuperation. The local sanitary conditions also changed daily and from country to country.
The TEFR09 project is the first observational cohort study intended to produce unique and comprehensive data from longitudinal measurements of a large sample of ultra endurance runners taking part in one of the most extreme multistage endurance competitions in the world, which takes the participants to a different level, where the race becomes a way of life, and where nutrition, sleep, energy and psychological states have to be carefully managed [34, 35]. It is also the first study using a mobile MRI scanner for continuous examination of the athletes while performing a transcontinental MSUM. The aim was to explain the wide spectrum of adaptive responses in humans being exposed to such a chronic physical endurance load with negative energy balancing but without enough time for regeneration and to identify factors associated with inter-individual variation in these responses. Due to the unique possibility to observe morphological and physiological changes and the reactions of different tissues and functional systems on the systemic, organ and (sub)cellular level with modern MRI techniques, a wide range of multiple questions, hypotheses and unproven assumptions regarding injury, adaptation, regeneration, reparation and overuse processes arose. Therefore, four different project modules of investigations were created, focusing on multiple open questions and unproven hypotheses regarding long distance running:
Project module I: musculoskeletal system
Pre-race injuries and deformation
It is inevitable that pre-race injuries or biomechanical deviations from the norm (for example, mal-alignment) will lead to progressing focal damage of the lower extremities when performing a transcontinental MSUM. If any participant who suffers from unhealed pre-race injuries or deformation of the lower extremities reaches the finish line at North Cape without deterioration, this hypothesis can be rejected. Furthermore, the TEFR project tries to detect reasons for not finishing the race in detail.
Recent investigations indicate that running a marathon does not increase pathologies of structures of the knee joint [36–39]. Some authors postulate a risk factor of repeated marathon running for osteoarthritis of the knee . However, a protective effect of running for knee joint cartilage is also discussed [41, 42]. Nothing is known about the effect of ultra long distance running over weeks as in MSUM on knee structures. For the knee cartilage, experimental studies on animals using quantitative microspectrophotometry and polarized light microscopy showed a decrease of the glycosaminoglycan content of the superficial femorotibial joint cartilage layer and degradation and reorganization of the superficial collagen network [43–45]. With this study, there are two hypotheses to be proven: first, in a MSUM over nine weeks, the well-trained participants show no increase in pathologies of the structures of the knee joint; and second, the cartilage of the femorotibial joint shows a degradation of the glycosaminoglycan content with quick regeneration after the end of the race. The hypothesis that MSUM running does not indicate a higher risk of osteoarthritis of the knee in well-trained endurance runners has to be proven with the TEFR project. Contrary to the femorotibial joint the following hypothesis for the femoropatellar joint has to be proven: retropatellar cartilage degeneration is not caused by MSUM running. The femoropatellar joint is not a limiting factor for ultra endurance running, although degeneration arthrosis is already present in some MSUM participating athletes, respectively. This hypothesis is based on the fact that retropatellar arthrosis has a high prevalence in older people  and long distance running participation rises with age . This TEFR project will also prove the same hypothesis for the joints of the ankle and hindfoot. For the latter no specific studies have been published until now.
Soft tissues of the leg
The literature on long distance running demonstrates that injuries mostly occur in the active and passive soft tissues of the lower extremities [48–54]. Injuries of the muscles, tendons and fascia of the lower legs are the most obvious limiting factors for performance and the most common reasons for not finishing a transcontinental footrace. This postulation leads to the following hypothesis which has to be proven by the TEFR project: During a MSUM every participant will suffer from different injuries and overload of active and passive soft tissues of the lower musculoskeletal system, resulting in long lasting damage due to lack of recreation time.
A special problem for endurance runners is a pain syndrome of the lower leg, so-called 'shin splint'. Investigations over the past years, especially with MRI, showed that several entities caused by overuse of the lower leg due to long distance running can be differentiated. Some authors indicated that bone or periosteal reactions of the ventral tibia are a typical part of this syndrome [55, 56], while others do not consider this as being mandatory . Depending on the involved tissues and the lack of exact knowledge of the pathogenesis, the terminology regarding chronic lower leg pain in runners is broad and has not been differentiated and defined in detail until now: medial tibial stress syndrome, shin splint, anterior muscle syndrome, (peri-)myositis, periostitis, fasciitis, and so on [58, 59]. With our study design we try to prove the hypothesis that running-associated chronic lower leg pain includes different entities, such as overuse pathologies of muscles, fascias, tendons and bone tissues of the lower leg. The problem begins in the friction areas of the fascia of the muscles and the tendons (peritendineum) and then extends to other tissues such as the muscles, periosteum and bone if the running burden continues and the pain is ignored by the athlete. As many ultra athletes reported, it seems to be possible to overrun 'shin splint' without further damage. Whether medial tibial stress syndrome can end up in a stress fracture or a chronic exertional compartment syndrome when running is continued without any further rest is not clear [56, 60, 61]. Perhaps further understanding and differentiation of soft tissue overuse of the leg is possible due to this observational cohort study with a mobile MRI.
Stress fractures of the lower body often occur in people doing extensive walking or running without proper training or adaption to the repeated and persistent mechanical burden their bones have to deal with. As seen in young soldiers doing their first long march with full body equipment  or amateur runners or beginners in (half-) marathons  our hypothesis is that even well trained ultra runners, such as the TEFR participants, can suffer stress fractures, because their skeletal system is not adapted to this tremendous mechanical burden that occurs while crossing a continent by foot with a speed of more than 6 km/hour without any day of rest. The TEFR project with mobile MRI tries to detect early signs of bone reaction (for example, subperiosteal new bone formation, adaptive cortical hypertrophy with little true inflammation, local bone edema or bruising) indicating overload as precursors of stress fractures .
For asymptomatic healthy marathon runners significantly higher red bone marrow hyperplasia has been observed compared to healthy volunteers . This is postulated to be a response to 'sports anemia', which is commonly found in highly conditioned trained athletes. The TEFR project wanted to prove the hypothesis that during a MSUM lasting more than nine weeks an increase of red bone marrow occurs in the participants, even though they are adapted and well trained in ultra running.
Project module II: brain, mind and pain perception
Aerobic exercise protects from insular atrophy in the brain of healthy volunteers [65, 66]. The normal annual volume loss due to age-related brain atrophy is about 0.11% [66, 67]. Increased atrophy is shown for several diseases, such as Alzheimers (2% per year) [68, 69] anorexia nervosa [70, 71] or malnutrition based on other reasons . Some hypotheses explain this based on the influence of the stress hormone cortisol  but further pathophysiological principles leading to this decrease in brain volume are not understood [73–76]. Marathon-induced changes in endocrine levels [77, 78], in fluid balance  and amino acid blood level  are known to alter brain metabolism. The hypothesis that ultra endurance running leads to volume reduction of the brain cortex could be investigated by the TEFR project using high resolution cerebral MRI. Combined with specific laboratory analyses of different markers (for example S100B [81, 82]) in blood and urine, reasons explaining the mechanism may be identified. On the other hand, when we postulate that an ultra long MSUM, such as the TEFR09, modifies the plastic brain (state marker) the hypothesis that the sensomotoric cortex volume - which is responsible for the lower extremities - will increase has also to be proven .
Additionally we hypothesize that the well-known exercise-induced hyponatremia due to inappropriate arginine vasopressin secretion which can lead to encephalopathy [84–87] is not seen in the highly endurance-trained participants of the TEFR09. If an MSUM leads to brain lesions, water sensitive cerebral MRI sequences of the TEFR project will show it.
Pain perception, mind and mental stress
All participants in the TEFR09 had previously finished an ultra marathon. This unique collective of endurance athletes is eminently suitable for examining the hypothesis that ultra runners have different mental prerequisites (higher auto suggestibility) compared to the normal population (trait marker). Experienced ultra endurance runners often mentioned that finishing an ultra race is more a matter of mind than a matter of the body. The hypothesis that finishers of MSUM differ from non-finishers with regard to pain suppression and willpower can be proven by pain tests combined with functional MRI of the brain and mental stress markers in serum samples.
Project module III: cardiovascular system
The MSUM TEFR09 results in an extreme prolonged stress for the whole organism. Its effects on the heart can be discussed controversially. Cardiac dysfunction after marathon running is verified with biochemical markers and cardiac ultrasound [88, 89]. Investigations with cardiac MRI are inconsistent; cardiac damage such as myocardial necrosis is seen in middle-aged marathon runners (57.2 +/- 5.7 years) , but not in younger marathon participants (30 to 50 years) [91, 92]. Myocardial function disorders are reported with cardiac MRI tagging . Until now, diagnostic analyses of long-lasting running effects on the heart using cardiac biomarkers are difficult to interpret, for example, the increase in brain natriuretic peptide (BNP) after 100 km trials [94, 95] could show cytoprotective or growth regulatory effects [89, 96] but also myocardial insufficiency. The TEFR project intends to prove the following hypotheses: Even in well trained ultra endurance runners, the running burden of a transcontinental MSUM of more than nine weeks induces a progressive cardiac distress and signs of cardiovascular mal-adaption. Cardiac MRI, stress laboratory tests and ECG might show signs of cardiac structural and functional restrictions, dysfunctions, damages and insufficiency. Non-finishers of the TEFR09 will show more restrictive parameters than finishers. Another hypothesis contradicting the Morganroth hypothesis [97, 98] is proven: Although an aerobic endurance burden is performed, the TEFR09 finisher will show an increase in cardiac output and left ventricular mass index and in ventricular wall thickness, which might be caused by incomplete or critical left ventricular hypertrophy in some cases. Using a MR tagging technique, we will try to prove the hypothesis that the anatomical position of the heart is going to change (steep position) with a prolonged aerobic running burden .
Arteries of the muscular-type, such as the common femoral artery (CFA) adapt structure and function to endurance exercise training and elastic-type arteries, such as the common carotid artery, show functional adaptations to increased endurance exercise training. Schmid-Trucksäss et al.  found an increase of diameter and compliance and a constant shear rate for CFA using noninvasive vascular ultrasound in highly endurance-trained athletes compared to sedentary controls. Other authors postulate that endurance exercise does change arterial wall stiffness and vascular (endothelial) function [101–103]. The TEFR project tries to prove the hypotheses that the MSUM burden results in cardiovascular adaptations in the form of an increase of arterial wall compliance in the lower extremities associated with an increase in the vessel lumen diameter of the femoral artery and of the central aortal pulse wave velocity even in well-trained ultra-endurance runners. This will result in a decrease of the peripheral arterial resistance leading to an increase in basic perfusion of the lower extremities.
Project module IV: body composition
Endurance exercise leads to a reduction of subcutaneous fatty tissue as demonstrated in several field studies [104–107]. It is well known that fat is the main energy-rich substrate for ultra endurance performance [105, 107, 108]. In contrast, muscle tissue provides lower energy, when being catabolized. A decrease in skeletal muscle mass due to ultra endurance performance has only been demonstrated in case reports [15, 23, 109] or small series .
Different effects for long-lasting or ultra endurance performances on body composition are described in the literature and seem to depend on the type of endurance burden. In ultra endurance performance with defined breaks (for example, during the night), body mass may remain stable [110–112] or even increase  while body fat is reduced [104, 105, 113], whereas skeletal muscle mass seems to be spared [111, 113, 114] or may even increase . Ultra endurance performance over hours, days or weeks without a break, results in a decrease in body mass [23, 107, 109, 115] in which body fat as well as skeletal muscle seems to decrease as a few case reports indicate [15, 23, 109]. With this cohort study we can prove the hypothesis that due to the immense negative energy balance during a transcontinental MSUM, not only fat but also lean tissue is involved in catabolism, even in the leg muscles. With its mobile whole body MRI protocol, the TEFR project will be able to measure the different amount of mass loss in the different functional muscle units of the leg. We also intend to detect the microstructural and intracellular adaption processes of leg muscle tissue with modern MRI methods (MR-spectroscopy, diffusion and perfusion MR imaging).
This report describes the design and conduct of the TEFR project. We report the pattern of chronic endurance running exposure, characteristics of the subject groups and reasons for not finishing. Detailed descriptions of measuring methods in relation to the hypotheses and technical challenges encountered in the realization of the interdisciplinary TEFR project are presented. We discuss the strengths and limitations of the study setting.
After commitment to funding by the German Research Society (DFG) the 67 TEFR09 participants were asked to join the TEFR project, which was approved by the local ethics committee of the University Hospital of Ulm (UHU, No.: 270/08-UBB/se), Germany (in accordance with the Declaration of Helsinki) regarding the study design, risk management plan and individual protocols. Verbal and written informed consent was obtained from all concurring subjects.
The most important research tool was a 1.5 Tesla whole-body MR imager (Magnetom Avanto™ mobile MRI 02.05, software version: Syngo™ MR B15, Siemens Ltd., Erlangen, Germany) mounted on a mobile unit (MRI-Trailer Model Mob.MRI 02.05, SMIT Mobile Equipment B.V., Division AK Specialty Vehicles, Farnham, UK) pulled by a specially hired truck tractor. The semi-trailer had an internal diesel generator to power the helium cooling circuit for the MRI over the ten-week period. However, it did not generate enough electricity for continuous MRI measurements and was therefore supplemented by a more powerful custom made external diesel generator (150 KVA, Strom Rent™ e.k., Dortmund, Germany) which was pulled by an additional material van. The mobile hardware had a total weight of more than 45 tonnes and was nearly 30 meters long. All of the equipment was installed daily at each stopover and required daily checks and support of all technical systems (Figure 2).
Forty-four (67%) of the race participants (mean age 49.7 years, range 26 to 68 years, male 40 (90.9%), f 4) were recruited for the TEFR project. The inclusion criterion obviously was an official acceptance as a participant at the TEFR09 by the organizers and the race director. The conditions of participation were: minimum age 18 years, the presence of a medical certificate not older than 30 days which indicated physical health and clear proof of appropriate running performance in the field of UM. The specific running history and performance of the individual subjects can be described by different traits, which were requested before the start of the TEFR09: years of regular endurance running training, finished (ultra-) marathons, personal best times in different defined ultra races and extent of training (volume, duration, intensity) before TEFR09.
The investigators additionally performed a resting cardiovascular check using a 12-channel PC-ECG system (Custo cardio 100™, Custo Med Ltd., Ottobrunn, Germany) and blood pressure (RR) measurement using a manual sphygmomanometer (BOSO Clinicus, JungingenGermany: to the nearest 3 mmHg). Cardiovascular exclusion criteria were resting blood pressure > 200 mmHg systolic and/or > 110 mmHg diastolic, acute systemic infection, acute chest pain and new arrhythmias or ECG changes. An orthopedic physical examination was done focusing on contraindications for endurance running such as relevant malalignment and painful joint diseases of the lower extremities. Additional specific exclusion criteria were contraindications against MRI scanning (for example, metallic foreign bodies in dangerous locations, specific cochlear or ocular implants, ferromagnetic vascular clips and relevant claustrophobia). None of the volunteers had to be excluded from study participation due to these criteria.
Four members of the TEFR project comprised the investigator core team that accompanied the TEFR09 for direct data acquisition before and during the race: two physicians, one medical student and one radiological assistant. The latter (HW) was responsible for subject positioning in the scanner and performance of the MR examinations. One of the investigators, the initiator and main organizer of the TEFR project (US), drove the MR-trailer truck, adapted the daily research program to the actual circumstances, controlled and checked the quality of the MR examinations and was responsible for the technical readiness of the whole mobile MRI and its functional circuits and equipment with external and internal diesel generator. Being specialized in radiology and orthopedic surgery, he also did the initial and follow-up physical musculoskeletal examinations of the subjects. The second investigator (CB) was responsible for acquisition of daily anthropometric, laboratory and ECG data. The medical student (ME) made the daily anthropological measurements.
The two physicians were solely responsible for the study and gave neither training advice nor provided medical help.
The study design of the TEFR project is shown in Figure 3.
Baseline studies were performed within the last four days before the start of the TEFR09 in Bari on every subject. They included group specific MRI examinations and anthropometric and cardiovascular physical measurements with urine and venous blood samples.
Additionally, body height measuring using a wall-mounted stadiometer (to the nearest 5 mm, standing barefoot) and active range of motion measurement (AROM) of hip and knee joints using a manual double-armed universal goniometer (to the nearest 5°) were done before the start. One experienced orthopedic surgeon, trained in a standardized procedure for positioning both the subject and the goniometer, collected these data.
Adapted from the methods of Paley et al.  and Weidelich et al. , analysis of lower limb alignment was done on coronal lower body scout views of pre-race MRI with subjects in the supine position and with extended legs. Measured parameters were: leg length (LL), as the straight line from the middle of the femoral head to the midpoint of the upper talus rim; femorotibial angle (FTA), as the angle between anatomical femoral and tibial axis; the mechanical axis deviation (MAD) as the distance from the point of intersection between the perpendicular and mechanical axis of the limb (straight line from the middle of the femoral head to the midpoint of the upper talus rim) to the midpoint of the knee (medial tibial eminence) and the femoral to tibial length ratio (F/T) [116–122].
A 240-item, 31-dimensional personality temperament and character inventory (TCI) [123, 124] in addition to a 10-item, 4-scaled questionnaire on self expectancy (General Self-Efficacy Scale, GSE) [125, 126] were also integrated into the project before its start.
Additionally, 15 of the 44 subjects had an initial separate pre-race test on pain perception (ice-water test) combined with functional cerebral MRI two weeks before the start of the TEFR09 at UHU on 1 to 3 April 2009, because these examinations could not be implemented on the mobile MRI due to technical limitations. Due to the exorbitant physical and mental burden placed on the subjects, there was no opportunity for field experiments, invasive tests or application of psychometric instruments during the transcontinental foot-race.
The observant field studies during the TEFR09 were completed between 15 April and 21 June 2009. Every morning from 3:45 to 4:30 a.m. urine samples and anthropometric measurements were taken. The core team broke down their examination units and drove to the next stage destination. Before stage length dependent arrival of the first runner they had set their systems ready and had refuelled the generators and vehicles. MRI examination time was between 2:30 p.m. +/- 90 minutes and 9:00 p.m.). At the same time anthropometric and cardiovascular physical measurements, blood and urine samples were collected and ECG was done. The daily data acquisition also included measurement and documentation of daily weather conditions (temperature outside and inside, humidity outside) using a calibrated electronic thermometer, the stage length and the individual stage performances of the runners (stage running time).
For MR measurements two groups (22 subjects each) were cluster randomized according to the different research modules. The MR protocols were created in an interdisciplinary content ensuring multifold specific and diverse but precise analyses and measurements for detailed testing of the mentioned hypotheses concerning long distance running (Table 2).
MRI of feet
For high resolution investigation of the whole foot a special table fixed boot-like designed 8-channel foot-ankle coil was chosen and a sagittal orientated water sensitive T2w MR sequence (TIRM) configured a wide field of view. If on this sequence any pathology was detected, a transversal oriented focused water sensitive sequence with a more structured T2 sequence (fat saturated proton density weighted (PDw)) was added. For investigation of the joint cartilage a specific T2* mapping MR sequence (syngo™ MapIt FLASH T2*w GRE) in sagittal orientation was used [127–129], allowing quantitative measurement of hydrophilic changes in the cartilage layers of tibiotalar, talocalcaneal, calcaneocuboid, and calcaneonavicular joints. The specification of these MR sequences (Table 2) was done for detection of typical running associated overuse injuries of the feet : subcutaneous edema, Achilles tendonitis [49, 50], extensor digitorum tendonitis [48, 49]), plantar fasciitis , calcaneal apophysitis, arthritis/arthrosis, stress fractures, bone edema, metatarsalgia, Morton's neuroma, and ankle inversion injuries (Figure 4).
MRI of knees
With a table-fixed 8-channel knee coil all subjects of group 1 had both knees examined with a sagittal TIRM sequence for water detection in knee-related tissues and evaluation of femorotibial joint. A transversal fat saturated PDw sequence was used to assess the femoropatellar joint. As for the hindfoot joints, specific T2* mapping MR sequences in sagittal and transversal orientations were done for quantification of cartilage layers of the femoropatellar and femorotibial joints regarding intrachondral water proportioning [127–129]. The specification of these MR sequences (Table 2) was done to evaluate running-associated overuse injuries in the knees : patella tendonitis ('runner's knee'), arthritis/arthrosis , stress fracture, bone edema , retropatellar pain syndrome [48–50], chondromalacia patellae, meniscal lesions  and patellar tendinitis  (Figure 5).
MRI of hips/pelvis
One flexible 6-channel body matrix coil was used to obtain an MR overview of the pelvis with one coronal water sensitive sequence (TIRM: Table 2) to detect injuries in this part of the body: hip arthritis/arthrosis , sacroiliac injuries , stress fractures of the pelvic ring [132–134], muscle overuse injuries and so on. Additional case specific sequences were added as necessary (Figure 6).
MRI of upper/lower legs
With three to four flexible 6-channel body matrix coils total MR examination of upper and lower legs was possible. To get detailed information about soft tissue edema, muscle perfusion and injuries of the legs different sequences were adapted in transversal orientation (T1w for adipose tissue separation and acute bleeding detection, TIRM for high sensitivity in water detection, fat saturated PDw for structural detailed water sensitive imaging, DWI for perfusion analysis of muscles and separation between intra- and extra-cellular water in the muscles: Table 2). With these sequences all of the typical running-associated syndromes could be detected and differential diagnosis done [49, 52]: anterior compartment pain/syndrome , (medial) tibial stress syndrome [50, 135, 136], gastrocnemius injuries, peroneal tendonitis, tibialis posterior injury, calcaneal apophysitis, iliotibial band friction syndrome , greater trochanteric bursitis, gluteus medius - hamstring - adductor - abductor - quadriceps injuries, such as tendonitis, strains or tears. Muscle volumetry of different compartments of the upper and lower leg muscles is possible for evaluation of changes in muscle volume: Figure 7.
Cerebral MRI, functional MRI
As for the muscles in the legs, a MRI guided volumetric analysis of the brain was one focus of the cerebral MRI measurements. Therefore, a T1 weighted high resolution (1 mm) turbo FLASH three-dimensional-sequence was used, making an isovoxel based volumetry (VBM) possible (Figure 8A). For detection of brain lesions and global edema a typical T2-sensitive sequence (FLAIR) in coronal orientation was chosen (Figure 8B). With diffusion weighted imaging (DWI), ischemia detection was possible. For all these MR sequences (Table 2) a table integrated 12-channel head matrix coil with a head restraint system was used. The same coil was used on the stationary scanner for functional MRI (fMRI) using echoplanar imaging (epi) with blood oxygenation level dependent (BOLD) contrast to analyze pain perception in 12 participants of the TEFR09 compared to age-related normal volunteers (Figure 8C).
Cardiac cine MRI
For mobile cardiac cine MRI, a flexible six-channel body matrix coil was used. Cine SSFP gradient echo sequences with retrospective cardiac triggering were generated to obtain plane short axis four-, three- and two-chamber (Figure 9B) views of the heart. The mitral and aortic flow (Figure 9D) was measured using phase contrast sequences with 150 cm/second velocity encoded gradient echo imaging (venc). This protocol ensured measurement or secondary evaluation of parameters, such as ejection fraction (%), end diastolic and systolic volume and, therefore, stroke volume (ml), cardiac output (L/minute), myocardial mass (g) (Figure 9E), muscle volume of ventricles (ml) (Figure 9A), and so on. MR tagging using a Cine SSFP gradient echo sequence with retrospective cardiac triggering in plane short axis four- and two-chamber view (Table 2) made quantification of the myocardial motion with its spatial orientation (Figure 9C) possible.
Vascular cine MRI
For analysis of changes in the arterial aortic stiffness, measurement of the central pulse wave velocity using MRI is the gold standard . With detection and measurement of the proximal and distal aortic flow and diameter using phase contrast acquisition with venc and prospective two-dimensional cardiac triggering on mobile MRI (Figure 10B, C), this and the central hemodynamic changes (peak and mean shear rate differences) and their influence on the vascular (aortic) diameter  during the TEFR09 can be calculated. Additionally, T2 weighted cine FLASH gradient echo sequences with prospective two-dimensional cardiac triggering were generated (Table 2) to measure compliance changes of the vessel wall of the distal common carotid (Figure 10A) and proximal superficial femoral artery (Figure 10D). In total, for vascular MRI three flexible six-channel body matrix coils for aortic and femoral artery measurements, one four-channel phased dual mode neck matrix coil and ECG triggering makes positioning and preparation of the subjects very time consuming.
Whole body MRI
For total body MRI, change of subject positioning from prone head forward to prone feet forward was necessary during a T1 weighted turbo spin echo sequencing using an adapted protocol developed on adipose and diabetic volunteers  (Table 2). With topographic tissue segmentation and mapping of the athlete's body using a fuzzy c-means algorithm according to Würslin et al.  a simple and time-saving strategy for assessment and standardization of the tissue distribution in the entire body was possible. With additional manual adaption due to the non-fasting condition of the subjects changes in different lean and adipose body compartments could be measured during the TEFR09 (Figure 11).
Proton MR-spectroscopy with a flexible six-channel body matrix coil for measurement of the intramyocellular lipid (IMCL) content of the tibialis anterior and soleus muscle required the stimulated-echo acquisition mode (STEAM) technique (Table 2) and manual shimming of the magnetic field , which makes generation of valuable results on a mobile MRI difficult and unpredictable (Figure 12).
Focused supplementary sequences
In addition to the mentioned study protocol, additional MR examinations were done on subjects and TEFR participants, if acute injuries (for example, stress fractures ) and pain syndromes (for example, low back pain [49, 52]) occurred and a specific diagnostic finding was necessary to prevent further injuries or complications on the endurance runners (Figure 13).
Anthropometric and cardiovascular physical measurements
Anthropometric and cardiovascular physical measurements were done on all subjects (Figure 3) every fourth day. Therefore, the 44 subjects were randomly assigned to one of four groups. Body mass was measured with BIA using a Tanita BC-545™ BIA scale (Arlington Heights, IL, USA: to the nearest 0.1 kg). This balance gave additional results about percentage of body fat and lean body mass based on MR validated calculation procedures . The measurements took place in the morning (between 4 a.m. and 5 a.m.) and after the stage (between 3 p.m. and 9 p.m.) together with measurement of blood pressure and body temperature (T) using an infrared ear thermometer (ThermoScan IRT 4020 ™, Braun, Germany: to the nearest 0.2°C. After the stage between 3 p.m. and 9 p.m., the skinfold (SF) thickness of the same subjects was measured using a skinfold caliper (GPM ™, Silber and Hegner, Zurich, Switzerland: to the nearest 2 mm) and their segmental body circumference (CF) was measured using a retractable measuring tape (to the nearest 1 mm). For SF, the mean value was calculated from three consecutive intra-individual measurements at eight regions on the right side of the body according to Ball et al. : chest, midaxillary (vertical), triceps, subscapular, abdominal (vertical), suprailiac (at anterior axillary), thigh, and calf. For CF, mean value was calculated from three consecutive intra-individual measurements at six regions on the right side of the body according to Lee et al. : upper arm (largest part of the limb), waist, hip, thigh (10 cm/20 cm above upper patella pole), and calf (largest part of the limb). To avoid inter-observer error all the anthropometric measurements were done by the same, specifically trained investigator. Every 800 km a short term ECG was planned on every subject.
Midstream urine samples were taken from all subjects twice each day. Before breakfast in the morning between 4:00 a.m. and 5:00 a.m. and after each stage in the evening after dinner between 7:00 p.m. and 9:00 p.m. Blood samples were taken every 1,000 km from the cubital vein after stage. The samples were immediately centrifuged and frozen (below -20°C) and put on -80°C after the race.
On the day they dropped out, non-finishers (NF) had a last complete measurement of all specific MRI protocols and physical examinations (BIA, SF, CF) and provided blood- and urine-samples. Nearly eight months after the TEFR09, 15 of the 44 subjects (all of them finishers of the TEFR09) had a follow up examination at UHU on the same topics involved during the field studies: specific MRI examinations, anthropometric measurements, ECG and blood and urine samples.
For statistical analysis the software 'SPSS 12.OG for Windows, Version 12.0.1' was used. Data are presented as mean (SD, range) and median (IQR) as appropriate. The coefficient of variation (CV (%) = 100*SD/mean) was calculated only for measured absolute data on performance. The stage severity index (SSI) is an indirect parameter calculated from the mean stage velocity of all runners without a severe handicap v;¯ STAGE* in relation to the total mean velocity of the whole race v;¯ TEFR*. Therefore, the SSI represents the relative burden of each stage, which is dependent on the mentioned multiple external factors that changed daily. It reflects the sum of daily weather and route conditions:
*: values are only integrated in calculation, if the stage performance of the specific runner is more than 87% of his mean race performance
The mean stage length was 70.1 km (SD 11.8 km, range 44 to 95.1 km) and influenced the SSI positively (Figure 14). Temperature and humidity were also factors influencing the SSI and showed a mean (mean of three daily measures at 6:00 a.m., 10:00 a.m. and 2:00 p.m.) of 15.2°C (SD 4.7°C, range 3.7 to 25.1°C) and 55.6% (SD 14.3, range 26.5% to 82.7%), respectively. Altitude differences were not measured. The longest stages occurred in the last third of the race and the coldest, wettest and most humid and, therefore, most severe stages, were at end of the TEFR09 which pushed the runners to their limits (Figure 14).
Changes of study plan due to hazards in TEFR
For every research topic, distance intervals of measurement (MI) throughout the TEFR09 were defined. The discrepancies between these planned and the realized MI can be shown as mean absolute deviations (Figure 15). For MRI, data showed mean deviations between 100 and 300 km. For MR spectroscopy it raised up to 400 km, because this special MR technique was highly dependent on the locations with their local magnetic field disturbances (such as, traffic and so on). However, reasons for the deviations were multifold.
Study staff had to deal with many influencing factors, which made daily adaptation of the research plan necessary: acute or chronic illness of study staff, bad weather conditions (Figure 14) which sometimes influenced operability of the mobile MRI, accidents and technical problems (Table 3) and local situations at stage destination which sometimes made a nearby commissioning of the mobile MRI difficult. However, the strongest influence forcing the staff to change and adapt the daily research work program was the athlete with more or less daily changes in mental and physical conditions and necessities: pain, fatigue, fears, doubts, illness, nutrition time schedules and specific behavior and rituals regarding regeneration from this immense physical and psychological stress. Therefore, it was not always possible to ensure the exact time of pre- and post-race measurements. Despite these uncertainties, 95% of the measurement protocol could be followed.
Figure 16 shows all performed examinations and measurements done before, during and six months after the TEFR09. The overall work load includes: 741 MRI protocols with 2,637 MRI sequences (more than 200,000 picture data), 5,600 urine samples, 1,018 BIA-, 539 SF- and CF-measurements, 250 blood samples and 205 ECGs.
Baseline characteristics and performances of subjects
The baseline characteristics of the study groups are summarized in Table 3. Age and gender did not differ between the two MR groups. None of the 44 subjects showed different AROM of the hip and knee or any functional or anatomical mal-alignment of the legs compared to normal values or between the MR groups. Only active hip extension shows a tendency to be better in endurance runners (Table 4).
Regarding the ratio of F and NF there is no relevant difference between subject group and the whole starter group (Table 5, Figure 17), but randomly between the MR groups (Table 4). Reasons for dropping out of the race were multifold (Table 5, Figure 17). The main reasons for premature exiting the race were overuse syndromes of the soft tissues of the leg, resulting in (peri-)myotendinous inflammations in the lower and upper legs (71.4%). Two subjects suffered a stress fracture in the third part of the race, one high tibia fracture (male, 60 years old) and one ventral pelvic fracture (female, 46 years old). Due to the unspecific pain and the high pain level, they ran with these fractures for about 200 km to 240 km before they gave up. There was one case of a rapidly ascending soft tissue abscess of the upper extremity due to an initially minor finger lesion (male, 39 years old) indicating the immense burden of the ultra-endurance performance to the runners and their immunological system.
Regarding all participants, the mean speed per stage was 8.35 km/hour (SD = 0.32; CV = 3.8%) and the mean total race speed of all finishers was 8.25 km/hour (SD = 1.4, CV = 17.1%). Finishers invested 552 hours (SD = 91, CV = 16.5%) for the 4,486 km in total. There was a wide range of performance difference between the best and slowest runner throughout the whole race, independent of the stage severity (Figure 18). The best runner (male, 28 years old) performed the race with a mean speed of 11.9 km/hour (total running time: 378 hours), nearly twice as fast as the slowest runner (female, 58 years old), with a mean speed of 6.2 km/hour (total running time: 723 hours. In the subject group, mean speed per stage was 8.28 km/hour (SD = 0.33; CV = 3.9%) and the mean total race speed of the subject finishers was 8.25 km/hour (SD = 1.3, CV = 15.3%), ranging from 11.1 km/hour (male, 26 years old, total running time: 407 hours, second rank) to 6.5 km/hour (male, 63 years old, total running time: 696.4 hours, 45th rank). Subjects mean stage speed was on average 8.32 km/hour (SD = 0.33, CV = 3.9%). Figure 18 shows mean performances in total and per stage.
Looking at transcontinental footrace history, the finisher rate ranges from 28% to 73% (Table 1). The Bunion Derbies of the early twentieth century showed the lowest rate due to lower standards regarding sports equipment, nutrition features, endurance-associated behavioral knowledge and the level of organization. These two Derbies had 150 starters in mean, much more than nowadays, indicating a high rate of rookies with little or no experience in ultra running. In the TEFR09, 31% of the participants (32% of the subjects) did not reach the finish line (Table 5, Figure 17). This is 18% more finishers than at the TEFR03. This could be attributed to the longer distance in 2003 (+540 km) from Lisbon to Moscow, implying a mean difference of 8.3 km per stage between the TEFR09 and the TEFR03. Apart from the TEFR03, running distances of modern transcontinental footraces (1992 to 2009) were approximately equally long and the finishing rate of 68% in the TEFR09 lies in the upper range of the published data (Table 1). Looking at the rate of participation, being more than 200% higher than the mean starter rate of all modern transcontinental footraces, the comparably high finishing rate indicates a professional organization and preparation of both the runners and organizers of the TEFR09.
Due to the diverse ways and possibilities to exercise long distance running (that is, area, length, altitude, distance, weather, indoor/outdoor, on/off-road, looped course, combinations with other disciplines and so on), it is extremely difficult to compare the performances of ultra athletes in the literature [107, 108, 145]. Regarding the present literature, an abundant variety of physiological, anthropometrical, pre-race and training variables seem to influence running performance and associated injuries, depending upon the length and duration of the races [146–150]. In MSUM, such as the TEFR09, the daily changing environmental conditions have a direct influence on stage performances. In the last days of the TEFR09 weather conditions became more and more difficult towards the destination, North Cape, leading to a marked decrease of mean running speed (Figure 18). Only their indomitable will not to drop out at the end of race after more than 4,000 km of running, kept many emaciated participants in the race.
Drop out and injuries
Due to the likely multifactorial nature of running injuries, very few firm conclusions can be made based on the existing studies. In general, there are intrinsic factors such as individual biomechanical abnormalities (that is, mal-alignments, muscle imbalance, stiffness, weakness, instability) or extrinsic (mostly avoidable) factors such as poor running technique, improper equipment and improper changes in training extent and mode or duration and frequency of the race burden contributing to overuse injuries . The one year prevalence of running injuries is 55% in male marathon runners; limb overuse injuries are the most common . In UM these entities become much more important. The most common injuries for runners are multiply cited in the literature: anterior knee pain (for example, patella-femoral syndrome), iliotibial band friction syndrome, tibial stress syndrome (shin splint/injuries), plantar fasciitis, Achilles tendonitis and meniscal injuries of the knee [152–156].
Approximately two thirds of NF dropped out of the race in the first half of the TEFR09 (Figure 17). As our results show, the reasons for premature resignation of subjects were different. Conforming to the literature [20, 22], in more than two thirds of the cases, overuse injuries of the lower and upper limb were the most common reasons (Table 5). However, these soft tissue overuse injuries occurred not only in less experienced ultra runners, but also in runners who had already successfully finished transcontinental races such as the TEFR03 or the 'Run Across America'. There were only a few subjects and runners without any overuse problems of the limbs in these 64 days. However, not every soft tissue overuse inflammation leads to the cessation of running. Most runners were able to 'overrun' these specific problems. They reduced running speed in adaptation to their problems, used topical application of anti-inflammatory medication and some of them took non-steroidal anti-inflammatory drugs for a few days. With adequate behavior many, but not all, athletes recovered and were able to continue the race. Presumably some athletes could handle more pain than others . An example is one extreme runner, an experienced 49-year-old male subject, who had multiple severe overuse-induced soft tissue inflammations with local muscle fiber rupture forcing him to frequently slow down his speed (Figure 7A). He also showed signs of exertional compartment syndrome, but did finish the TEFR09. His ordeal at the TEFR09 is reflected by the red line in Figure 18. Contrary to other reports, Achilles tendonitis or lower limb joint problems were not a reason for subjects to stop the TEFR09. Further results of module II research topics such as specific personality, temperament, character and pain perception will be presented soon.
Statement of principal findings
The relevance of results in field studies is determined by the appropriateness of the research questions and hypotheses, by the practicability of methods and measurements and the consistency of their specific implementation and by the correct interpretation of results. Due to the manifold open questions and unproven hypotheses in endurance running, the unique opportunity of doing real time observations of changes in the body of athletes while running at the upper limit in a MSUM was demanding.
The TEFR project was designed to explore inter-individual variability in adaption to the tremendous persisting physical endurance running load on the different organic and functional systems of the body with regard to the lack of breaks and time for regeneration.
All technical equipment was tested by the specific manufacturers on reliability and validity under normal clinical conditions and usage. But daily dismantling, transport and setting up of the mobile MRI hardware sets extraordinary demands which were initially not totally verifiable and calculable. Despite some technical problems and temporal defects (Table 3), our arrival at the North Cape demonstrated the feasibility of accompanying a large group of endurance runners (67) with a mobile MRI and all its necessary equipment ensuring permanent operability during the 64 stage ultra marathon.
Throughout the whole TEFR09 our time schedules for examinations adapted to the daily changing local circumstances and the athletes mental state and problems. To avoid additional stress for the subjects, they could not and were not forced to follow the study protocol strictly. However, the efficiency of this strategy was reflected in the high rate of compliance (98%) until the end of the TEFR09. Only one subject who finished the race left the study at stage 36 (km 2,448) due to personal and, explicitly, not study related problems. Consequently, the completion rate of planned examinations over the whole running distance of 4,486 km was only limited by the drop-out rate of the subjects from the TEFR09 (Table 4, Figure 16). In particular, specific implementation of stationary validated MRI protocols on the mobile MRI on the truck trailer by a team of MRI experts and training of the research staff on the mobile MRI before the start ensures practical experience with the experimental protocols under field conditions and makes modification of them possible where necessary.
Strengths of the study
The strengths of the TEFR project are the unique chance to do a field study with the large number of 44 subjects, the realization of tests and measurements with the modern technical gold-standard equipment MRI in a daily changing and increasingly harsh and inhospitable environment (Figure 14), the complete baseline control data and the high rate of test completion. Large subject numbers provide the statistical power to discriminate between and, identify associations with, different patterns of adaptation as well as to detect differences in response between subgroups. Matched subject race profiles and baseline measurements before the start of the TEFR09 control for variability of exposure to ascending running distance and, thereby, permit valid inter-individual comparison of responses to this burden (with subjects as their own controls), maximizing the signal (true physiological differences) to noise (variations in exposure) ratio.
The avoidance of invasive or interventional tests on the subjects' mechanisms during the TEFR09 and the descriptive nature of the data may be considered a weakness of this study. However, the variety of outputs from different measurement techniques (for example, functional and cine MRI, physical anthropometrical measurements and laboratory data including proteomics, plasma and urine biomarkers) allows observation of consistent patterns of response that may be strongly suggestive of particular mechanisms.
In module I, for example, measured data of T2*-mapping of joint cartilage (Figure 4 A and 4.2A/B) will allow conclusions on the influence of long distance running on the proteoglycans in the cartilage matrix based on the current experimental experiences [43–45, 157]. As in most other mobile MR associated examinations of other modules, additional laboratory analyses using specific parameters on collected blood and urine samples (for example, cartilage oligomeric matrix protein (COMP) [158–165] for joint cartilage research) will give further information for interpretation and verification of image related results.
Another example is the vascular cine MRI studies of module III. In humans, the relationships of blood flow changes to structure, function, and shear rate of conducting arteries have not been thoroughly examined. Therefore, the purpose of the vascular cine MRI study in module III (Figure 10) was to investigate these parameters of the elastic-type, common carotid artery (CCA) and the muscular-type, common femoral artery (CFA) in long-term running, assuming that the impact of activity-induced blood flow changes on conduit arteries, if any, should be seen in these highly endurance-trained athletes. These investigations using the gold standard method, MRI , enable further analyses on the current status of insights on the question of structural and functional vascular adaption and associated exercise-induced blood flow changes on endurance training based on sonographic B-mode measurements .
The manifold investigations of Knechtle et al. on ultra endurance athletes [15–22, 113, 145] focused on the question which anthropometric parameters of ultra athletes are predictors of ultra endurance performance. These authors postulated some direct connections between specific physical anthropometric markers and ultra endurance performance [16, 19, 166]. Examinations of module I and module IV (morphometry, body composition) of the TEFR project with its possibility of precise and differentiated morphometric analysis (for example, segmental and functional muscle volumetry) may be able to verify common experiences and to detect relationships between anthropometry and morphometry of endurance athletes and performance in MSUM.
All tissue systems - subcutaneous and visceral adipose tissues, muscles, ligaments, fascia, tendons, bones and cartilage - were studied with special quantitative and qualitative MR techniques. This should help explain how the different tissues react to the severe stress that continued for days and weeks without any pauses for regeneration or even resting phases as two marathon distances had to be completed every day.
Individual performance and ability to deal with injuries and overuse symptoms with regard to decision making for stopping MSUM is a complex psychosomatic process and more or less modulated by character traits. Strong changes of endocrine and metabolic status during marathon runs are described [78, 79]. Hormonal changes can influence pain sensation and show an influence on specific brain functions . Knowing this, investigations detecting reasons for dropping out of the race (14 subjects) can focus not only on MR image analysis, but must also include specific laboratory analysis and psychometric tests as done or planned in the TEFR project. Serotonin, tryptophan and endorphin are described for use as stress markers in UM . The relation of branched-chain to aromatic amino acids as a model (amino acid dysbalance hypothesis) to explain running-associated fatigue is described . The reduction of the pain sensation is known for cortisol . Considering all these particular mechanisms influencing performance and decision making in ultra athletes, the important dimension of laboratory analysis possibilities, in addition to MR data analysis, becomes obvious for the different parts of the TEFR project.
Overall, the possibility of cross-validations between physical, MR-graphic, -functional and laboratory follow-up data on multiple organic systems during a nearly ten-week ultra run is a unique strength of this study.
Weakness of the study
The main weakness of this study is the lack of a control group of non endurance experienced subjects. However, this is not a feasible option in field studies under race conditions including such an immense amount of physical and mental load. In order to explore the influence of pre-race running experience, we will undertake subgroup analyses investigating the influence of individual pre-race performances on our findings. In the pre-race pain study (project module II, MR group 2), we recruited a parallel age-related control group that was tested over the same pain scale and functional MRI protocol as the MSUM exposed subjects. This sub-group is, therefore, not confounded by self-selection due to prior endurance tolerance.
As the first attempt in MR research, we tried to perform H1-MR-spectroscopy for measurement of IMCL [140, 168, 169] with a mobile MRI on a truck trailer. MR spectroscopy needs a stable magnetic field and, therefore, a still and static environment around the scanner. Due to the daily changing position of the mobile MRI, the possibility and feasibility of manual shimming was not predictable. This is the only measurement with uncertain validity due to changing environmental conditions in the TEFR project.
Environmental factors, such as ambient weather conditions (Figure 14), subject de- or hyperhydration and concurrent illnesses may also have confounded results. However, indoor temperature (18.7°C, SD 3.0°C, range 11.7 to 28.5°C) and temperature in the MR trailer (20.5°C, SD 0.8°C, range 18.5 to 21.8°C) was much less variable than outdoor temperature (15.2°C, SD 4.7°C, range 3.7 to 25.1°C). All subjects were encouraged to maintain adequate
hydration (guided by the production of good quantities of pale urine). There was only one Japanese subject identified with a severe illness during the race, suffering from a severe cough which persisted from stage 12 till stage 32 (day of drop out).
Another weakness of the study was that there was only rough documentation of nutrition. Nutrition depended on food availability at the TEFR stages and was provided by the TEFR organization. The use of doping substances was forbidden by the terms of participation but not controlled. Runners did not agree to close measurement and documentation of food and caloric intake, because this would have meant too much disturbance of their daily running routine and compromised compliance due to additional stress conducted by the research work. Despite initial concerns, mobile MRI examinations did not result in additional stress for the athletes. On the contrary, most of them enjoyed relaxing in the MR scanner, having no other noises and people around them while listening to their favorite music via headphones.
Strengths and weakness in relation to other studies
In comparison to previous field, laboratory and radiological, especially stationary MR studies focusing on long distance running and its effects on the human body, our study is unique in several aspects: ultra-long distance running without any day of rest, cohort size of subjects and use of a mobile MRI throughout the whole race. This is the first MR-based follow-up ultra marathon field study that ensures unique data based on repeated measurements on ascending distance burden.
We explored the possibility of conducting this study with a stationary MRI in a fixed local setting. However, this is not realizable with a large cohort size, because not many ultra endurance athletes took the challenge to run ultra long distances in circles in local regions or stadiums day by day. For example, at the Sri Chinmoy Self-Transcendence 3,100 Mile Race over 5,649 laps of one extended city block in Jamaica, Queens, New York (http://www.3100.srichinmoyraces.org) only 10 to 14 participants started regularly. If a study like this is planned, it has to be adapted to the race circumstances and not the race conditions to the study. Only exceptional runners would be willing to take such a burden under laboratory conditions. It is the experience of the distance and the environment that motivates these athletes to run thousands of kilometers. In addition, such an approach might have incurred significant additional costs; our subjects were entirely self-funded, whereas volunteers in chamber studies often expect remuneration.
Unanswered questions and future research
Further research arising from this study will follow two themes. First, studies in patients to explore the validity of our model by applying the findings of this study to pathophysiological problems in a clinical setting. Second, collecting additional healthy volunteer data from subjects exposed to an ultra endurance burden (ultra marathon, ultra triathlon, ultra cycling and) in further field studies and chamber studies.
Whether it is possible to initiate future projects using this model of a mobile MRI field study is critical. First, this was a unique cohort size in transcontinental ultra running and it would be difficult to find a size like this again: the latest Run Across America (Table 1) had only 14 participants. Second, in addition to sufficient funding a bit of luck is necessary to finish a field study successfully when using a sensitive and high-maintenance technical piece of equipment such as a mobile MRI. Future studies might answer additional questions by using alternative or additional measurement techniques or undertaking novel intervention trials.
The TEFR project was both a challenge and risk together. It demonstrates the feasibility and safety of conducting a large ultra endurance cohort study with a mobile MRI under 'natural' conditions over 64 stages and daily changing environment on the way across all of Europe. Thanks to the possibility offered by a modern mobile MR-imager diverse research topics from different fields of medicine could be implemented in the measurement protocol to study human adaption to an ultra endurance burden. Systematic measurements of a large set of variables were achieved with high-fidelity in 44 subjects and up to 4,500 kilometers distance running. The resulting dataset is a unique resource for the study of regeneration and adaption in relation to a high impact ultra endurance running burden which may improve specific or general scientific understanding of responses to critical illness at the limits of stress and strain of the human body.
Dr Uwe Schütz may also be contacted using his alternative email address: firstname.lastname@example.org
Costill DL, Bowers R, Kammer WF: Skinfold estimates of body fat among marathon runners. Med Sci Sports. 1970, 2: 93-95.
Davies CTM, Thompson MW: Aerobic performance of female marathon and male ultramarathon athletes. Eur J Appl Physiol. 1979, 41: 233-245. 10.1007/BF00429740.
Tittel K, Wutscherk H: Anatomical and anthropometric fundamentals of endurance. Endurance in Sport. Edited by: Shephard RJ, Ästrand PO. 1992, Oxford: Blackwell Scientific Publications, 35-45.
Svedenhag J, Sjödin B: Body-mass-modified running economy and step length in elite male middle- and long-distance runners. Int J Sports Med. 1994, 15: 305-310. 10.1055/s-2007-1021065.
Speechly DP, Taylor SR, Rogers GG: Differences in ultra-endurance exercise in performance-matched male and female runners. Med Sci Sports Exerc. 1996, 28: 59-365.
Hetland ML, Haarbo J, Christiansen C: Regional body composition determined by dual-energy X-ray absorptiometry. Relation to training, sex hormones, and serum lipids in male long-distance runners. Scand J Med Sci Sports. 1998, 8: 102-108.
Abe T, Kumagai K, Brechue WF: Fascicle length of leg muscles is greater in sprinters than distance runners. Med Sci Sports Exerc. 2000, 32: 1125-1129. 10.1097/00005768-200006000-00014.
Hoffman MD: Anthropometric characteristics of ultramarathoners. Int J Sports Med. 2008, 29 (19): 808-811.
Freund W, Billich C, Brambs HJ, Weber F, Schütz UHW: MRI changes of Achilles tendon in experienced runners and beginners during training and after (half-) marathon competition. Z Orthop Unfall. 2011, 149: 407-417. 10.1055/s-0030-1271074.
Davies CTM, Thompson MW: Physiological responses to prolonged exercise in ultramarathon athletes. J Appl Physiol. 1986, 61: 611-617.
Sharwood K, Collins M, Goedecke J, Wilson G, Noakes T: Weight changes, sodium levels, and performance in the South African Ironman Triathlon. Clin J Sport Med. 2002, 12: 391-399. 10.1097/00042752-200211000-00012.
Tomaszewski M, Charchar FJ, Przybycin M, Crawford L, Wallace AM, Gosek K, Lowe GD, Zukowska-Szczechowska E, Grzeszczak W, Sattar N, Dominiczak AF: Strikingly low circulating CRP concentrations in ultramarathon runners independent of markers of adiposity: how low can you go?. Arterioscler Thromb Vasc Biol. 2003, 23: 1640-1644. 10.1161/01.ATV.0000087036.75849.0B.
Knechtle B, Wirth A, Knechtle P, Zimmermann K, Kohler G: Personal best marathon performance is associated with performance in a 24-h run and not anthropometry or training volume. Br J Sports Med. 2009, 43 (11): 836-839. 10.1136/bjsm.2007.045716.
Knechtle B, Knechtle P, Rosemann T, Senn O: What is associated with race performance in male 100-km ultra-marathoners - anthropometry, training or marathon best time?. J Sports Sci. 2011, 23: 1-7.
Knechtle B, Bircher S: Changes in body composition during an extreme endurance run. Praxis. 2005, 94: 371-377. 10.1024/0369-83188.8.131.521.
Knechtle B, Knechtle P, Schulze I, Kohler G: Upper arm circumference is associated with race performance in ultra-endurance runners. Br J Sports Med. 2008, 42: 295-299. 10.1136/bjsm.2007.038570.
Knechtle B, Kohler G: Running 338 km within 5 days has no effect on body mass and body fat but reduces skeletal muscle mass - the Isarrun 2006. J Sports Sci Med. 2007, 6: 401-407.
Knechtle B, Duff B, Schulze I, Kohler G: The effects of running 1,200 km within 17 days on body composition in a female ultrarunner-Deutschlandlauf 2007. Res Sports Med. 2008, 16: 167-188. 10.1080/15438620802104120.
Knechtle B, Duff B, Welzel U, Kohler G: Body mass and circumference of upper arm are associated with race performance in ultraendurance runners in a multistage race--the Isarrun 2006. Res Q Exerc Sport. 2009, 80: 262-268.
Knechtle B, Duff B, Schulze I, Rosemann T, Senn O: Anthropometry and pre-race experience of finishers and nonfinishers in a multistage ultra-endurance run--Deutschlandlauf 2007. Percept Mot Skills. 2009, 109: 105-118. 10.2466/pms.109.1.105-118.
Knechtle B, Wirth A, Knechtle P, Rosemann T: Training volume and personal best time in marathon, not anthropometric parameters, are associated with performance in male 100-km ultrarunners. J Strength Cond Res. 2010, 24: 604-609. 10.1519/JSC.0b013e3181c7b406.
Knechtle B, Knechtle P, Rosemann T: Race performance in male mountain ultra-marathoners: anthropometry or training?. Percept Mot Skills. 2010, 110: 721-735. 10.2466/pms.110.3.721-735.
Knechtle B, Enggist A, Jehle T: Energy turnover at the Race across America (RAAM): a case report. Int J Sports Med. 2005, 26: 499-503. 10.1055/s-2004-821136.
Transeurope Footrace. [http://www.transeurope-footrace.org]
Kastner CB: Bunion Derby: The 1928 Footrace Across America. 2007, University of New Mexico Press, 1
Williams G: C.C. Pyle's Amazing Foot Race: The True Story of the 1928 Coast-to-Coast Run Across America. 2007, Rodale Books, Illustrated
Griffis ML: Great American Bunion Derby. 2003, Eakin Press, 1
Lewis B: Running the Trans America Footrace: Trials and Triumphs of Life on the Road. 1994, Stackpole Books, 1
Shapiro JE: Meditations from the Breakdown Lane: Running Across America. 1983, Houghton Mifflin Press
Schulze I: Transeuropalauf 2003. Lissabon - Moskau 5036 km in 64 Tagesetappen. 2004, Engelsdorfer Verlagsgesellschaft, 1
Biermanski B: Der härteste Lauf der Welt: In 64 Tagen von Lissabon nach Moskau (Trans Europa Lauf). 2005, Books on Demand GmbH, 1
Schulze I: TransEurope-FootRace 2009: Bari - Nordkap - 4.487,7 km in 64 Tagesetappen. Engelsdorfer Verlag. 2010, 1
Secker R: Running across countries. 2009, Create Space
Knechtle B, Knechtle P, Schulze I, Kohler G: Vitamins, minerals and race performance in ultra-endurance runners-Deutschlandlauf 2006. Asia Pac J Clin Nutr. 2008, 17: 194-198.
Knechtle B, Schulze I: Nutritional behaviours in ultra-endurance runners-Deutschlandlauf 2006. Praxis (Bern 1994). 2008, 97: 243-251. 10.1024/1661-8184.108.40.206.
Shellock FG, Deutsch AL, Mink JH, Kerr R: Do asymptomatic marathon runners have an increased prevalence of meniscal abnormalities? An MR study of the knee in 23 volunteers. AJR Am J Roentgenol. 1991, 157: 1239-1241.
Shellock FG, Mink JH: Knees of trained long-distance runners: MR imaging before and after competition. Radiology. 1991, 179: 63.
Hohmann E, Wörtler K, Imhoff A: MR imaging of the hip and knee before and after marathon running. Am J Sports Med. 2004, 32: 55-9. 10.1177/0363546503258904.
Schueller-Weidekamm C, Schueller G, Uffmann M, Bader TR: Does marathon running cause acute lesions of the knee? Evaluation with magnetic resonance imaging. Eur Radiol. 2006, 16: 2179-2185. 10.1007/s00330-005-0132-y.
Krampla W, Mayrhofer R, Malcher J, Kristen KH, Urban M, Hruby W: MR imaging of the knee in marathon runners before and after competition. Skeletal Radiol. 2001, 30: 72-76. 10.1007/s002560000296.
Cymet TC, Sinkov V: Does long-distance running cause osteoarthritis?. J Am Osteopath Assoc. 2006, 106: 342-345.
Krampla WW, Newrkla SP, Kroener AH, Hruby WF: Changes on magnetic resonance tomography in the knee joints of marathon runners: a 10-year longitudinal study. Skeletal Radiol. 2008, 37: 619-626. 10.1007/s00256-008-0485-9.
Arokoski J, Kiviranta I, Jurvelin J, Tammi M, Helminen HJ: Long-distance running causes site-dependent decrease of cartilage glycosaminoglycan content in the knee joints of beagle dogs. Arthritis Rheum. 1993, 36: 1451-1459. 10.1002/art.1780361018.
Arokoski J, Jurvelin J, Kiviranta I, Tammi M, Helminen HJ: Softening of the lateral condyle articular cartilage in the canine knee joint after long distance (up to 40 km/day) running training lasting one year. Int J Sports Med. 1994, 15: 254-260. 10.1055/s-2007-1021056.
Arokoski JP, Hyttinen MM, Lapveteläinen T, Takács P, Kosztáczky B, Módis L, Kovanen V, Helminen H: Decreased birefringence of the superficial zone collagen network in the canine knee (stifle) articular cartilage after long distance running training, detected by quantitative polarised light microscopy. Ann Rheum Dis. 1996, 55: 253-264. 10.1136/ard.55.4.253.
Lacey RJ, Thomas E, Duncan RC, Peat G: Gender difference in symptomatic radiographic knee osteoarthritis in the Knee Clinical Assessment--CAS(K): a prospective study in the general population. BMC Musculoskelet Disord. 2008, 9: 82-10.1186/1471-2474-9-82.
Leyk D, Erley O, Gorges W, Ridder D, Rüther T, Wunderlich M, Sievert A, Essfeld D, Piekarski C, Erren T: Performance, training and lifestyle parameters of marathon runners aged 20-80 years: results of the PACE-study. Int J Sports Med. 2009, 30: 360-365. 10.1055/s-0028-1105935.
Bishop GW, Fallon KE: Musculoskeletal injuries in a six-day track race: ultramarathoner's ankle. Clin J Sport Med. 1999, 9: 216-220. 10.1097/00042752-199910000-00006.
Fallon KE: Musculoskeletal injuries in the ultramarathon: the 1990 Westfield Sydney to Melbourne run. Br J Sports Med. 1996, 30: 319-323. 10.1136/bjsm.30.4.319.
Fredericson M, Misra AK: Epidemiology and aetiology of marathon running injuries. Sports Med. 2007, 37: 437-439. 10.2165/00007256-200737040-00043.
Schueller-Weidekamm C: Long-term success and risk for marathon runners. Radiologe. 2010, 50: 444-452. 10.1007/s00117-009-1938-4.
Taunton JE, Ryan MB, Clement DB, McKenzie DC, Lloyd-Smith DR, Zumbo BD: A retrospective case-control analysis of 2002 running injuries. Br J Sports Med. 2002, 36: 95-101. 10.1136/bjsm.36.2.95.
Taunton JE, Ryan MB, Clement DB, McKenzie DC, Lloyd-Smith DR, Zumbo BD: A prospective study of running injuries: the Vancouver Sun Run "In Training" clinics. Br J Sports Med. 2003, 37: 239-244. 10.1136/bjsm.37.3.239.
Van Middelkoop M, Kolkman J, van Ochten J, Bierma-Zeinstra SM, Koes BW: Course and predicting factors of lower-extremity injuries after running a marathon. Clin J Sport Med. 2007, 17: 25-30. 10.1097/JSM.0b013e3180305e4d.
Johnell O, Rausing A, Wendeberg B, Westlin N: Morphological bone changes in shin splints. Clin Orthop Relat Res. 1982, 167: 180-184.
Aoki Y, Yasuda K, Tohyama H, Ito H, Minami A: Magnetic resonance imaging in stress fractures and shin splints. Clin Orthop Relat Res. 2004, 421: 260-267.
Wilder RP, Sethi S: Overuse injuries: tendinopathies, stress fractures, compartment syndrome, and shin splints. Clin Sports Med. 2004, 23: 55-81. 10.1016/S0278-5919(03)00085-1.
Detmer DE: Chronic shin splints: classification and management of medial tibial stress syndrome. Sports Med. 1986, 3: 436-446. 10.2165/00007256-198603060-00005.
Batt ME: Shin splints--a review of terminology. Clin J Sport Med. 1995, 5: 53-57. 10.1097/00042752-199501000-00010.
Verleisdonk EJ, van Gils A, van der Werken C: The diagnostic value of MRI scans for the diagnosis of chronic exertional compartment syndrome of the lower leg. Skeletal Radiol. 2001, 30: 321-325. 10.1007/s002560100361.
Bong MR, Polatsch DB, Jazrawi LM, Rokito AS: Chronic exertional compartment syndrome: diagnosis and management. Bull Hosp Jt Dis. 2005, 62: 77-84.
Lee D, Armed Forces Health Surveillance Center (AFHSC): Stress fractures, active component, U.S. Armed Forces, 2004-2010. MSMR. 2011, 18: 8-11.
Harrast MA, Colonno D: Stress fractures in runners. Clin Sports Med. 2010, 29: 399-416. 10.1016/j.csm.2010.03.001.
Shellock FG, Morris E, Deutsch AL, Mink JH, Kerr R, Boden SD: Hematopoietic bone marrow hyperplasia: high prevalence on MR images of the knee in asymptomatic marathon runners. AJR Am J Roentgenol. 1992, 158: 335-338.
Gondoh Y, Sensui H, Kinomura S, Fukuda H, Fujimoto T, Masud M, Nagamatsu T, Tamaki H, Takekura H: Effects of aerobic exercise training on brain structure and psychological well-being in young adults. J Sports Med Phys Fitness. 2009, 49: 129-135.
Peters J, Dauvermann M, Mette C, Platen P, Franke J, Hinrichs T, Daum I: Voxel-based morphometry reveals an association between aerobic capacity and grey matter density in the right anterior insula. Neuroscience. 2009, 163: 1102-1108. 10.1016/j.neuroscience.2009.07.030.
Good CD, Johnsrude IS, Ashburner J, Henson RN, Friston KJ, Frackowiak RS: A voxel-based morphometric study of ageing in 465 normal adult human brains. Neuroimage. 2001, 14: 21-36. 10.1006/nimg.2001.0786.
O'Brien JT, Paling S, Barber R, Williams ED, Ballard C, McKeith IG, Gholkar A, Crum WR, Rossor MN, Fox NC: Progressive brain atrophy on serial MRI in dementia with Lewy bodies, AD, and vascular dementia. Neurology. 2001, 56: 1386-1388. 10.1212/WNL.56.10.1386.
Fox NC, Crum WR, Scahill RI, Stevens JM, Janssen JC, Rossor MN: Imaging of onset and progression of Alzheimer's disease with voxel-compression mapping of serial magnetic resonance images. Lancet. 2001, 358: 201-205. 10.1016/S0140-6736(01)05408-3.
Katzman DK, Lambe EK, Mikulis DJ, Ridgley JN, Goldbloom DS, Zipursky RB: Cerebral gray matter and white matter volume deficits in adolescent girls with anorexia nervosa. J Pediatr. 1996, 129: 794-803. 10.1016/S0022-3476(96)70021-5.
Castro-Fornieles J, Bargalló N, Lázaro L, Andrés S, Falcon C, Plana MT, Junqué C: A cross-sectional and follow-up voxel-based morphometric MRI study in adolescent anorexia nervosa. J Psychiatr Res. 2009, 43: 331-340. 10.1016/j.jpsychires.2008.03.013.
Geibprasert S, Gallucci M, Krings T: Alcohol-induced changes in the brain as assessed by MRI and CT. Eur Radiol. 2010, 20: 1492-1501. 10.1007/s00330-009-1668-z.
Gunston GD, Burkimsher D, Malan H, Sive AA: Reversible cerebral shrinkage in kwashiorkor: an MRI study. Arch Dis Child. 1992, 67: 1030-1032. 10.1136/adc.67.8.1030.
Golden NH, Ashtari M, Kohn MR, Patel M, Jacobson MS, Fletcher A, Shenker IR: Reversibility of cerebral ventricular enlargement in anorexia nervosa, demonstrated by quantitative magnetic resonance imaging. J Pediatr. 1996, 128: 296-301. 10.1016/S0022-3476(96)70414-6.
Knudsen L, Drummond PD: Cold-induced limb pain decreases sensitivity to pressure-pain sensations in the ipsilateral forehead. Eur J Pain. 2009, 13: 1023-1029. 10.1016/j.ejpain.2008.12.005.
Van den Eynde F, Treasure J: Neuroimaging in eating disorders and obesity: implications for research. Child Adolesc Psychiatr Clin N Am. 2009, 18: 95-115. 10.1016/j.chc.2008.07.016.
Kraemer WJ, Fragala MS, Watson G, Volek JS, Rubin MR, French DN, Maresh CM, Vingren JL, Hatfield DL, Spiering BA, Yu-Ho J, Hughes SL, Case HS, Stuempfle KJ, Lehmann DR, Bailey S, Evans DS: Hormonal responses to a 160-km race across frozen Alaska. Br J Sports Med. 2008, 42: 116-120.
Agawa H, Yamada N, Enomoto Y, Suzuki H, Hosono A, Arakawa K, Ghadimi R, Miyata M, Maeda K, Shibata K, Tokudome M, Goto C, Tokudome Y, Hoshino H, Imaeda N, Marumoto M, Suzuki S, Kobayashi M, Tokudome S: Changes of mental stress biomarkers in ultramarathon. Int J Sports Med. 2008, 29: 867-871. 10.1055/s-2008-1038490.
Hew-Butler T, Noakes TD, Soldin SJ, Verbalis JG: Acute changes in endocrine and fluid balance markers during high-intensity, steady-state, and prolonged endurance running: unexpected increases in oxytocin and brain natriuretic peptide during exercise. Eur J Endocrinol. 2008, 159: 729-737. 10.1530/EJE-08-0064.
Lehmann M, Huonker M, Dimeo F, Heinz N, Gastmann U, Treis N, Steinacker JM, Keul J, Kajewski R, Häussinger D: Serum amino acid concentrations in nine athletes before and after the 1993 Colmar ultra triathlon. Int J Sports Med. 1995, 16: 155-159. 10.1055/s-2007-972984.
Pickering A, Carter J, Hanning I, Townend W: Emergency department measurement of urinary S100B in children following head injury: can extracranial injury confound findings?. Emerg Med J. 2008, 25: 88-89. 10.1136/emj.2007.046631.
Gazzolo D, Frigiola A, Bashir M, Iskander I, Mufeed H, Aboulgar H, Venturini P, Marras M, Serra G, Frulio R, Michetti F, Petraglia F, Abella R, Florio P: Diagnostic accuracy of S100B urinary testing at birth in full-term asphyxiated newborns to predict neonatal death. PLoS One. 2009, 4: e4298-10.1371/journal.pone.0004298.
Jäncke L, Koeneke S, Hoppe A, Rominger C, Hänggi J: The architecture of the golfer's brain. PLoS One. 2009, 4: e4785-10.1371/journal.pone.0004785.
Stuempfle KJ, Lehmann DR, Case HS, Bailey S, Hughes SL, McKenzie J, Evans D: Hyponatremia in a cold weather ultraendurance race. Alaska Med. 2002, 44: 51-55.
Hew TD, Chorley JN, Cianca JC, Divine JG: The incidence, risk factors, and clinical manifestations of hyponatremia in marathon runners. Clin J Sport Med. 2003, 13: 41-47. 10.1097/00042752-200301000-00008.
Almond CS, Shin AY, Fortescue EB, Mannix RC, Wypij D, Binstadt BA, Duncan CN, Olson DP, Salerno AE, Newburger JW, Greenes DS: Hyponatremia among runners in the Boston Marathon. N Engl J Med. 2005, 352: 1550-1556. 10.1056/NEJMoa043901.
Noakes TD, Sharwood K, Speedy D, Hew T, Reid S, Dugas J, Almond C, Wharam P, Weschler L: Three independent biological mechanisms cause exercise-associated hyponatremia: evidence from 2,135 weighed competitive athletic performances. Proc Natl Acad Sci USA. 2005, 102: 18550-18555. 10.1073/pnas.0509096102.
Urhausen A, Scharhag J, Herrmann M, Kindermann W: Clinical significance of increased cardiac troponins T and I in participants of ultra-endurance events. Am J Cardiol. 2004, 94: 696-698. 10.1016/j.amjcard.2004.05.050.
Neilan TG, Januzzi JL, Lee-Lewandrowski E, Ton-Nu TT, Yoerger DM, Jassal DS, Lewandrowski KB, Siegel AJ, Marshall JE, Douglas PS, Lawlor D, Picard MH, Wood MJ: Myocardial injury and ventricular dysfunction related to training levels among nonelite participants in the Boston marathon. Circulation. 2006, 114: 2325-2333. 10.1161/CIRCULATIONAHA.106.647461.
O'Connor DT, Frigon RP: Chromogranin A, the major catecholamine storage vesicle soluble protein. Multiple size forms, subcellular storage, and regional distribution in chromaffin and nervous tissue elucidated by radioimmunoassay. J Biol Chem. 1984, 259: 3237-3247.
Mousavi N, Czarnecki A, Kumar K, Fallah-Rad N, Lytwyn M, Han SY, Francis A, Walker JR, Kirkpatrick ID, Neilan TG, Sharma S, Jassal DS: Relation of biomarkers and cardiac magnetic resonance imaging after marathon running. Am J Cardiol. 2009, 103: 1467-1472. 10.1016/j.amjcard.2009.01.294.
Trivax JE, Franklin BA, Goldstein JA, Chinnaiyan KM, Gallagher MJ, deJong AT, Colar JM, Haines DE, McCullough PA: Acute cardiac effects of marathon running. J Appl Physiol. 2010, 108: 1148-1153. 10.1152/japplphysiol.01151.2009.
Hanssen H, Keithahn A, Hertel G, Drexel V, Stern H, Schuster T, Lorang D, Beer AJ, Schmidt-Trucksäss A, Nickel T, Weis M, Botnar R, Schwaiger M, Halle M: Magnetic resonance imaging of myocardial injury and ventricular torsion after marathon running. Clin Sci (Lond). 2011, 120: 143-152. 10.1042/CS20100206.
Scharhag J, Herrmann M, Urhausen A, Haschke M, Herrmann W, Kindermann W: Independent elevations of N-terminal pro-brain natriuretic peptide and cardiac troponins in endurance athletes after prolonged strenuous exercise. Am Heart J. 2005, 150: 1128-1134. 10.1016/j.ahj.2005.01.051.
Scharhag J, George K, Shave R, Urhausen A, Kindermann W: Exercise-associated increases in cardiac biomarkers. Med Sci Sports Exerc. 2008, 40: 1408-1415. 10.1249/MSS.0b013e318172cf22.
Montgomery HE, Clarkson P, Dollery CM, Prasad K, Losi MA, Hemingway H, Statters D, Jubb M, Girvain M, Varnava A, World M, Deanfield J, Talmud P, McEwan JR, McKenna WJ, Humphries S: Association of angiotensin-converting enzyme gene I/D polymorphism with change in left ventricular mass in response to physical training. Circulation. 1997, 96: 741-747. 10.1161/01.CIR.96.3.741.
Morganroth J, Henry WL, Maron RJ, Clark CE, Epstein SE: Idiopathic left ventricular hypertrophy. N Engl J Med. 1974, 290: 1047-1050. 10.1056/NEJM197405092901904.
Morganroth J, Maron BJ, Henry WL, Epstein SE: Comparative left ventricular dimensions in trained athletes. Ann Intern Med. 1975, 82: 521-524.
Naylor LH, George K, O'Driscoll G, Green DJ: The athlete's heart: a contemporary appraisal of the 'Morganroth hypothesis'. Sports Med. 2008, 38: 69-90. 10.2165/00007256-200838010-00006.
Schmidt-Trucksäss A, Schmid A, Brunner C, Scherer N, Zäch G, Keul J, Huonker M: Arterial properties of the carotid and femoral artery in endurance-trained and paraplegic subjects. J Appl Physiol. 2000, 89: 1956-1963.
Kasikcioglu E, Oflaz H, Kasikcioglu HA, Kayserilioglu A, Umman S, Meric M: Endothelial flow-mediated dilatation and exercise capacity in highly trained endurance athletes. Tohoku J Exp Med. 2005, 205: 45-51. 10.1620/tjem.205.45.
Petersen SE, Wiesmann F, Hudsmith LE, Robson MD, Francis JM, Selvanayagam JB, Neubauer S, Channon KM: Functional and structural vascular remodeling in elite rowers assessed by cardiovascular magnetic resonance. J Am Coll Cardiol. 2006, 48: 790-797. 10.1016/j.jacc.2006.04.078.
Naylor LH, O'Driscoll G, Fitzsimons M, Arnolda LF, Green DJ: Effects of training resumption on conduit arterial diameter in elite rowers. Med Sci Sports Exerc. 2006, 38: 86-92. 10.1249/01.mss.0000181220.03855.1c.
Raschka C, Plath M, Cerull R, Bernhard W, Jung K, Leitzmann C: The body muscle compartment and its relationship to food absorption and blood chemistry during an extreme endurance performance. Z Ernährungswiss. 1991, 30: 276-288.
Raschka C, Plath M: Body fat compartment and its relationship to food intake and clinical chemical parameters during extreme endurance performance. Schweiz Z Sportmed. 1992, 40: 13-25.
Höchli D, Schneiter T, Ferretti G, Howald H, Claassen H, Moia C, Atchou G, Belleri M, Veicsteinas A, Hoppeler H: Loss of muscle oxidative capacity after an extreme endurance run: the Paris-Dakar Foot-Race. Int J Sports Med. 1995, 16: 343-346. 10.1055/s-2007-973017.
Helge JW, Lundby C, Christensen DL, Langfort J, Messonnier L, Zacho M, Andersen JL, Saltin B: Skiing across the Greenland icecap: divergent effects on limb muscle adaptations and substrate oxidation. J Exp Biol. 2003, 206: 1075-1083. 10.1242/jeb.00218.
Frykman PN, Harman EA, Opstad PK, Hoyt RW, DeLany JP, Friedl KE: Effects of a 3-month endurance event on physical performance and body composition: the G2 trans-Greenland expedition. Wilderness Environ Med. 2003, 14: 240-248. 10.1580/1080-6032(2003)14[240:EOAMEE]2.0.CO;2.
Bircher S, Enggist A, Jehle T: Effects of an extreme endurance race on energy balance and body composition: a case study. J Sports Sci Med. 2006, 5: 154-162.
Nagel D, Seiler D, Franz H, Leitzmann C, Jung K: Effects of an ultra-long-distance (1000 km) race on lipid metabolism. Eur J Appl Physiol. 1989, 59: 16-20. 10.1007/BF02396574.
Dressendorfer RH, Wade CE: Effects of a 15-d race on plasma steroid levels and leg muscle fitness in runners. Med Sci Sports Exerc. 1991, 23: 954-958.
Väänänen II, Vihko V: Physiological and psychological responses to 100 km crosscountry skiing during 2 days. J Sports Med Phys Fitness. 2005, 45: 301-305.
Knechtle B, Salas OF, Andonie JL, Kohler G: Effect of a multistage ultra-endurance triathlon on body composition: World Challenge Deca Iron Triathlon 2006. Br J Sports Med. 2008, 42: 121-125.
Reynolds RD, Lickteig JA, Deuster PA, Howard MP, Conway JM, Pietersma A, deStoppelaar J, Deurenberg P: Energy metabolism increases and regional body fat decreases while regional muscle mass is spared in humans climbing Mt. Everest. J Nutr. 1999, 129: 1307-1314.
Lehmann M, Huonker M, Dimeo F: Serum amino acid concentrations in nine athletes before and after the 1993 Colmar Ultra Triathlon. Int J Sports Med. 1995, 16: 155-159. 10.1055/s-2007-972984.
Paley D, Herzenberg JE, Tetsworth K, McKie J, Bhave A: Deformity planning for frontal and sagittal plane corrective osteotomies. Orthop Clin North Am. 1994, 25: 425-465.
Waidelich HA, Strecker W, Schneider E: Computed tomographic torsion-angle and length measurement of the lower extremity. The methods, normal values and radiation load. Rofo. 1992, 157: 245-251. 10.1055/s-2008-1033007.
Blustein SM, D'Amico JC: Limb length discrepancy. Identification, clinical significance, and management. J Am Podiatr Med Assoc. 1985, 75: 200-206.
Strecker W, Keppler P, Gebhard F, Kinzl L: Length and torsion of the lower limb. J Bone Joint Surg Br. 1997, 79: 1019-1023. 10.1302/0301-620X.79B6.7701.
Keppler P, Strecker W, Kinzl L: Analysis of leg geometry--standard techniques and normal values. Chirurg. 1998, 69: 1141-1152. 10.1007/s001040050551.
Keppler P: Normwerte des Beines. 8. Kurs zur Analyse und Korrektur von Beindeformitäten. Schloss Reisensburg, Günzburg, Germany. 2005, 03: 16-19.
Keppler P, Kinzl L: Diagnostik der posttraumatischen Beindeformitäten. Trauma Berufskrankh. 2006, 8 (Suppl 3): 303-316.
Nagoshi CT, Waler D, Muntaner C, Haertzen CA: Validation of the Tridimensional Personality Questionnaire in a sample of male drug users. Personality and Individual Differences. 1992, 13: 401-409. 10.1016/0191-8869(92)90067-Y.
Hansenne M, Delhez M, Cloninger CR: Psychometric properties of the temperament and character inventory-revised (TCI-R) in a Belgian sample. J Pers Assess. 2005, 85: 40-49. 10.1207/s15327752jpa8501_04.
Schwarzer R, Jerusalem M: Generalized Self-Efficacy scale. Measures in Health Psychology: A User's Portfolio. Causal and Control Beliefs. Edited by: Weinman J, Wright S, Johnston M. 1995, Windsor, 35-37.
Luszczynska A, Scholz U, Schwarzer R: The general self-efficacy scale: multicultural validation studies. J Psychol. 2005, 139: 439-457. 10.3200/JRLP.139.5.439-457.
Mamisch TC, Trattnig S, Quirbach S, Marlovits S, White LM, Welsch GH: Quantitative T2 mapping of knee cartilage: differentiation of healthy control cartilage and cartilage repair tissue in the knee with unloading--initial results. Radiology. 2010, 254: 818-826. 10.1148/radiol.09090335.
Welsch GH, Trattnig S, Hughes T, Quirbach S, Olk A, Blanke M, Marlovits S, Mamisch TC: T2 and T2* mapping in patients after matrix-associated autologous chondrocyte transplantation: initial results on clinical use with 3.0-Tesla MRI. Eur Radiol. 2010, 20: 1515-1523. 10.1007/s00330-009-1669-y.
Apprich S, Welsch GH, Mamisch TC, Szomolanyi P, Mayerhoefer M, Pinker K, Trattnig S: Detection of degenerative cartilage disease: comparison of high-resolution morphological MR and quantitative T2 mapping at 3.0 Tesla. Osteoarthritis Cartilage. 2010, 18: 1211-1217. 10.1016/j.joca.2010.06.002.
Schueller-Weidekamm C, Schueller G, Uffmann M, Bader T: Incidence of chronic knee lesions in long-distance runners based on training level: findings at MRI. Eur J Radiol. 2006, 58: 286-293. 10.1016/j.ejrad.2005.11.010.
Schmitt H, Rohs C, Schneider S, Clarius M: Is competitive running associated with osteoarthritis of the hip or the knee?. Orthopade. 2006, 35: 1087-1092. 10.1007/s00132-006-0998-7.
Major NM, Helms CA: Sacral stress fractures in long-distance runners. AJR Am J Roentgenol. 2000, 174: 727-729.
Shah MK, Stewart GW: Sacral stress fractures: an unusual cause of low back pain in an athlete. Spine. 2002, 27: E104-108. 10.1097/00007632-200202150-00023.
Alsobrook J, Simons SM: Sacral stress fracture in a marathon runner. Curr Sports Med Rep. 2007, 6: 39-42. 10.1007/s11932-007-0010-2.
Fredenicson M, Bergman AG, Hoffman KL, Dillingham MS: Tibial stress reaction in runners: correlation of clinical symptoms and scintigraphy with a new magnetic resonance imaging grading system. Am Sports Med. 1995, 23: 472-481. 10.1177/036354659502300418.
Bergman AG, Fredericson M: MR imaging of stress reactions, muscle injuries, and other overuse injuries in runners. Magn Reson Imaging Clin N Am. 1999, 7: 151-174. ix
Bolster BD, Atalar E, Hardy CJ, McVeigh ER: Accuracy of arterial pulse-wave velocity measurement using MR. J Magn Reson Imaging. 1998, 8: 878-888. 10.1002/jmri.1880080418.
Machann J, Thamer C, Schnoedt B, Haap M, Haring HU, Claussen CD, Stumvoll M, Fritsche A, Schick F: Standardized assessment of whole body adipose tissue topography by MRI. J Magn Reson Imaging. 2005, 21: 455-462. 10.1002/jmri.20292.
Würslin C, Machann J, Rempp H, Claussen C, Yang B, Schick F: Topography mapping of whole body adipose tissue using a fully automated and standardized procedure. J Magn Reson Imaging. 2010, 31: 430-439. 10.1002/jmri.22036.
Brechtel K, Niess AM, Machann J, Rett K, Schick F, Claussen CD, Dickhuth HH, Haering HU, Jacob S: Utilisation of intramyocellular lipids (IMCLs) during exercise as assessed by proton magnetic resonance spectroscopy (1H-MRS). Horm Metab Res. 2001, 33: 63-66. 10.1055/s-2001-12407.
Jebb SA, Cole TJ, Doman D, Murgatroyd PR, Prentice AM: Evaluation of the novel Tanita body-fat analyser to measure body composition by comparison with a four-compartment model. Br J Nutr. 2000, 83: 115-122.
Ball SD, Altena TS, Swan PD: Comparison of anthropometry to DXA: a new prediction equation for men. Eur J Clin Nutr. 2004, 58: 1525-1531. 10.1038/sj.ejcn.1602003.
Lee RC, Wang Z, Heo M, Ross R, Janssen I, Heymsfield SB: Total-body skeletal muscle mass: development and cross-validation of anthropometric prediction models. Am J Clin Nutr. 2000, 72: 796-803.
Roach KE, Miles TP: Normal hip and knee active range of motion: the relationship to age. Phys Ther. 1991, 71: 656-665.
Knechtle B, Knechtle P, Andonie JL, Kohler G: Influence of anthropometry on race performance in extreme endurance triathletes: World Challenge Deca Iron Triathlon 2006. Br J Sports Med. 2007, 41: 644-648. 10.1136/bjsm.2006.035014.
Marti B, Abelin T, Minder CE: Relationship of training and life-style to 16-km running time of 4000 joggers. The '84 Berne "Grand-Prix" Study. Int J Sports Med. 1988, 9: 85-91. 10.1055/s-2007-1024984.
Marti B, Vader JP, Minder CE, Abelin T: On the epidemiology of running injuries. The 1984 Bern Grand-Prix study. Am J Sports Med. 1988, 16: 285-294. 10.1177/036354658801600316.
Macera CA, Pate RR, Woods J, Davis DR, Jackson KL: Postrace morbidity among runners. Am J Prev Med. 1991, 7: 194-198.
Pate RR, Macera CA, Bailey SP, Bartoli WP, Powell KE: Physiological, anthropometric, and training correlates of running economy. Med Sci Sports Exerc. 1992, 24: 1128-1133.
Saunders PU, Pyne DB, Telford RD, Hawley JA: Factors affecting running economy in trained distance runners. Sports Med. 2004, 34: 465-485. 10.2165/00007256-200434070-00005.
Wilder RP, Sethi S: Overuse injuries: tendinopathies, stress fractures, compartment syndrome, and shin splints. Clin Sports Med. 2004, 23: 55-81. 10.1016/S0278-5919(03)00085-1.
Van Middelkoop M, Kolkman J, Van Ochten J, Bierma-Zeinstra SM, Koes BW: Risk factors for lower extremity injuries among male marathon runners. Scand J Med Sci Sports. 2008, 18: 691-697. 10.1111/j.1600-0838.2007.00768.x.
Wen DY, Puffer JC, Schmalzried TP: Injuries in runners: a prospective study of alignment. Clin J Sport Med. 1998, 8: 187-194. 10.1097/00042752-199807000-00005.
Satterthwaite P, Norton R, Larmer P, Robinson E: Risk factors for injuries and other health problems sustained in a marathon. Br J Sports Med. 1999, 33: 22-26. 10.1136/bjsm.33.1.22.
Taunton JE, Ryan MB, Clement DB, McKenzie DC, Lloyd-Smith DR, Zumbo BD: A retrospective case-control analysis of 2002 running injuries. Br J Sports Med. 2002, 36: 95-101. 10.1136/bjsm.36.2.95.
Fredericson M, Misra AK: Epidemiology and aetiology of marathon running injuries. Sports Med. 2007, 37: 437-439. 10.2165/00007256-200737040-00043.
Mosher TJ, Liu Y, Torok CM: Functional cartilage MRI T2 mapping: evaluating the effect of age and training on knee cartilage response to running. Osteoarthritis Cartilage. 2010, 18: 358-364. 10.1016/j.joca.2009.11.011.
Neidhart M, Müller-Ladner U, Frey W, Bosserhoff AK, Colombani PC, Frey-Rindova P, Hummel KM, Gay RE, Häuselmann H, Gay S: Increased serum levels of non-collagenous matrix proteins (cartilage oligomeric matrix protein and melanoma inhibitory activity) in marathon runners. Osteoarthritis Cartilage. 2000, 8: 222-229. 10.1053/joca.1999.0293.
Kim HJ, Lee YH, Kim CK: Biomarkers of muscle and cartilage damage and inflammation during a 200 km run. Eur J Appl Physiol. 2007, 99: 443-447. 10.1007/s00421-006-0362-y.
Kim HJ, Lee YH, Kim CK: Changes in serum cartilage oligomeric matrix protein (COMP), plasma CPK and plasma hs-CRP in relation to running distance in a marathon (42.195 km) and an ultra-marathon (200 km) race. Eur J Appl Physiol. 2009, 105: 765-770. 10.1007/s00421-008-0961-x.
Addison S, Coleman RE, Feng S, McDaniel G, Kraus VB: Whole-body bone scintigraphy provides a measure of the total-body burden of osteoarthritis for the purpose of systemic biomarker validation. Arthritis Rheum. 2009, 60: 3366-3373. 10.1002/art.24856.
Liphardt AM, Mündermann A, Koo S, Bäcker N, Andriacchi TP, Zange J, Mester J, Heer M: Vibration training intervention to maintain cartilage thickness and serum concentrations of cartilage oligometric matrix protein (COMP) during immobilization. Osteoarthritis Cartilage. 2009, 17: 1598-1603. 10.1016/j.joca.2009.07.007.
Berry PA, Maciewicz RA, Wluka AE, Downey-Jones MD, Forbes A, Hellawell CJ, Cicuttini FM: Relationship of serum markers of cartilage metabolism to imaging and clinical outcome measures of knee joint structure. Ann Rheum Dis. 2010, 69: 1816-1822. 10.1136/ard.2009.124420.
Niehoff A, Kersting UG, Helling S, Dargel J, Maurer J, Thevis M, Brüggemann GP: Different mechanical loading protocols influence serum cartilage oligomeric matrix protein levels in young healthy humans. Eur J Appl Physiol. 2010, 110: 651-657. 10.1007/s00421-010-1529-0.
Pelletier JP, Raynauld JP, Caron J, Mineau F, Abram F, Dorais M, Haraoui B, Choquette D, Martel-Pelletier J: Decrease in serum level of matrix metalloproteinases is predictive of the disease-modifying effect of osteoarthritis drugs assessed by quantitative MRI in patients with knee osteoarthritis. Ann Rheum Dis. 2010, 69: 2118-2124. 10.1136/ard.2009.127993.
Knechtle B, Knechtle P, Rosemann T: Upper body skinfold thickness is related to race performance in male Ironman triathletes. Int J Sports Med. 201, 32: 20-27.
al'Absi M, Petersen KL, Wittmers LE: Adrenocortical and hemodynamic predictors of pain perception in men and women. Pain. 2002, 96: 197-204. 10.1016/S0304-3959(01)00447-X.
Thamer C, Machann J, Bachmann O, Haap M, Dahl D, Wietek B, Tschritter O, Niess A, Brechtel K, Fritsche A, Claussen C, Jacob S, Schick F, Häring HU, Stumvoll M: Intramyocellular lipids: anthropometric determinants and relationships with maximal aerobic capacity and insulin sensitivity. J Clin Endocrinol Metab. 2003, 88: 1785-1791. 10.1210/jc.2002-021674.
Machann J, Etzel M, Thamer C, Haring HU, Claussen CD, Fritsche A, Schick F: Morning to evening changes of intramyocellular lipid content in dependence on nutrition and physical activity during one single day: a volume selective 1H-MRS study. MAGMA. 2011, 24: 29-33. 10.1007/s10334-010-0233-8.
The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1741-7015/10/78/prepub
Contributions to the study
The TransEurope FootRace 2009 Project is a research project coordinated by the Department of Diagnostic and Interventional Radiology, University Hospital of Ulm, Germany. The aim of the project is to conduct research into ultra endurance running in order to improve understanding of regeneration and adaption processes in different kind of tissues, organs and functional body systems. The TEFR project research groups members all contributed to the collection and analysis of data described in this paper.
Study funding sources
This project was mainly supported in part by the German Research Association (DFG: 'Deutsche Forschungsgemeinschaft'), under Grants SCHU 2514/1-1 and SCHU 2514/1-2. Other non-public funds were received from Siemens Healthcare Ltd. and the Medical Faculty of the University of Ulm. All funding was unrestricted. None of the funding bodies had any role in the study design, data collection, data analysis, data interpretation, manuscript preparation or decision to publish.
We cordially thank all endurance athletes who took part at this project. Considering their immense physical and mental stress they showed an extraordinary compliance every day of the TransEurope FootRace 2009.
The authors declare that they have no competing interests.
US contributed to the conception and design of the study, to the funding, to the acquisition of data, the analysis of data, the interpretation of data and drafted the manuscript. AST contributed to the conception and design of the study, to the acquisition of data, and the analysis and interpretation of data. BK contributed to the design of the study and the interpretation of data. JM contributed to the design of the study, to specific MR sequence protocols and to the analysis and interpretation of data. HW contributed to the acquisition of data. ME contributed to the acquisition and analysis of data. WF contributed to the conception of the study, to the acquisition of data, the analysis of data and the interpretation of data. IS contributed to the conception and to the acquisition of data. SG contributed to the creation of specific MR sequence protocols. HB contributed to specific MR sequence protocols. IS contributed to the conception of the study. HJB contributed to the acquisition of data. CB contributed to the conception and design of the study, to the acquisition of data and the analysis and interpretation of data. All authors read and approved the final draft.
Cooperators and coworkers in data post processing and analysis are permanently rising. At time of manuscript writing they are as follows: F. Birklein, M. Breimhorst, DC. Cheng, J. Ellermann, S. Faust, S. Göd, L. Heisterkamp, E. Kitzenmaier, K. König, S. König, TC. Mamisch, A. Reiner, D. Schoss, C. Tassler, C. Trattnig, F. Weber, S. Wuchenauer, A. Wunderlich and C. Würslin.
Uwe HW Schütz, Arno Schmidt-Trucksäss contributed equally to this work.
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Cite this article
Schütz, U.H., Schmidt-Trucksäss, A., Knechtle, B. et al. The Transeurope Footrace Project: longitudinal data acquisition in a cluster randomized mobile MRI observational cohort study on 44 endurance runners at a 64-stage 4,486km transcontinental ultramarathon. BMC Med 10, 78 (2012). https://doi.org/10.1186/1741-7015-10-78
- Bioelectrical Impedance Analysis
- Overuse Injury
- Plantar Fasciitis
- Cine Magnetic Resonance Imaging
- Cartilage Oligomeric Matrix Protein