Article
Radiology, Nuclear Medicine & Medical Imaging
Sibaji Gaj, Brendan L. Eck, Dongxing Xie, Richard Lartey, Charlotte Lo, William Zaylor, Mingrui Yang, Kunio Nakamura, Carl S. Winalski, Kurt P. Spindler, Xiaojuan Li
Summary: Fast and accurate segmentation of thigh muscles from MRI is crucial for quantifying thigh muscle morphology and composition. A new deep learning-based segmentation model was developed for automated and reproducible cross-sectional area (CSA) and fat fraction (FF) quantification. The model was tested on patients who underwent anterior cruciate ligament reconstructions 10 years ago.
MAGNETIC RESONANCE IN MEDICINE
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Abramo Agosti, Enea Shaqiri, Matteo Paoletti, Francesca Solazzo, Niels Bergsland, Giulia Colelli, Giovanni Savini, Shaun I. Muzic, Francesco Santini, Xeni Deligianni, Luca Diamanti, Mauro Monforte, Giorgio Tasca, Enzo Ricci, Stefano Bastianello, Anna Pichiecchio
Summary: This study successfully implemented automatic segmentation of selected muscles of the thigh and leg through a supervised deep learning approach, achieving high accuracy. The results hold promise for application to different skeletal muscle groups and other MRI sequences with varying contrast and resolution.
MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE
(2022)
Article
Geriatrics & Gerontology
Lena S. Kiefer, Jana Fabian, Susanne Rospleszcz, Roberto Lorbeer, Jurgen Machann, Mareen S. Kraus, Marc Fischer, Frank Roemer, Wolfgang Rathmann, Christa Meisinger, Margit Heier, Konstantin Nikolaou, Annette Peters, Corinna Storz, Christopher L. Schlett, Fabian Bamberg
Summary: The study compared quantitative assessment of skeletal muscle mass using MRI and BIA, finding strong correlation between the two methods in non-obese subjects but weaker correlation in obese individuals. Abdominal muscle mass was significantly higher in obese subjects compared to non-obese, with MRI-based assessments showing potential as practical imaging biomarkers independent of body weight.
JOURNAL OF CACHEXIA SARCOPENIA AND MUSCLE
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Feng-Zhe Wang, He Sun, Jun Zhou, Ling-Ling Sun, Shi-Nong Pan
Summary: The study compared the validity and reliability of abdominal skeletal muscle area (SMA) measurement using CT and MRI, finding that MRI exhibited excellent interobserver reliability and excellent agreement with CT when quantifying abdominal SMA.
ACADEMIC RADIOLOGY
(2021)
Article
Medical Laboratory Technology
Eva Maria Hassler, Gunter Almer, Gernot Reishofer, Hannes Deutschmann, Harald Mangge, Markus Herrmann, Stefan L. Leber, F. Felix Gunzer, Tanja Langsenlehner, Wilfried Renner
Summary: This study investigated the relationship between leukocyte telomere length (LTL), thigh muscle mass, and adipose tissue distribution. The results showed a significant association between LTL and thigh muscle mass in healthy males, but not in females. The sex-specific association may be related to different training effects and/or hormonal pathways in men and women.
CLINICAL CHEMISTRY AND LABORATORY MEDICINE
(2023)
Review
Orthopedics
Zuzana Perraton, Peter Lawrenson, Andrea B. Mosler, James M. Elliott, Kenneth A. Weber, Natasha A. M. S. Flack, Jon Cornwall, Rebecca J. Crawford, Christopher Stewart, Adam Semciw
Summary: This scoping review collates and synthesizes MRI methods for measuring lateral hip muscle size and fatty infiltration, aiming to inform the development of standardized protocols. Several consistent anatomical levels were identified for single axial MR slice to facilitate muscle size and fatty infiltration muscle measures at the hip, providing the basis for reliable and accurate data synthesis and improvements in the validity of future between studies analyses.
BMC MUSCULOSKELETAL DISORDERS
(2022)
Article
Computer Science, Interdisciplinary Applications
Thomas Hadler, Clemens Ammann, Jens Wetzl, Darian Viezzer, Jan Groeschel, Maximilian Fenski, Endri Abazi, Steffen Lange, Anja Hennemuth, Jeanette Schulz-Menger
Summary: This study developed software called Lazy Luna for the quantitative evaluation of cardiovascular magnetic resonance imaging. The software allows for comparing annotated images from artificial intelligence and clinicians, ensuring accurate metric calculations. It provides a graphical user interface for non-programmers and enables the tracing of differences in segmentation results among readers to identify the origins of these differences. The software can be extended to new application cases.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Qi Yang, Xin Yu, Ho Hin Lee, Leon Y. Cai, Kaiwen Xu, Shunxing Bao, Yuankai Huo, Ann Zenobia Moore, Sokratis Makrogiannis, Luigi Ferrucci, Bennett A. Landman
Summary: This study proposes an unsupervised domain adaptation pipeline that transfers labels from three-dimensional magnetic resonance (MR) images to single-slice CT thigh images for muscle group segmentation. The pipeline effectively and robustly extracts muscle groups on two-dimensional single-slice CT thigh images.
JOURNAL OF MEDICAL IMAGING
(2023)
Article
Biophysics
Jiao Li, Zepeng Lu, Ling Yuan, Qin Wang, Jinxia Zhu, Dapeng Bao, Robert Grimm, Xiao Wang, Xiaoye Wang, Huadan Xue, Zhengyu Jin
Summary: This study used IVIM imaging to compare the effects of high-intensity interval training (HIIT) and moderate-intensity continuous training (MICT) on skeletal muscle perfusion and its impact on fat oxidation. The results showed that the increase in fD* after exercise was greater in the HIIT group compared to the MICT group. However, there was no significant difference in fD* in the biceps femoris long head. Additionally, the fD* after HIIT was correlated with maximal oxygen consumption (VO2max), while the fD* immediately after MICT was correlated with VO2max.
NMR IN BIOMEDICINE
(2023)
Article
Physiology
Bart Bolsterlee
Summary: A new framework is proposed for comprehensive analysis of the three-dimensional shape and architecture of human skeletal muscles using magnetic resonance and diffusion tensor imaging data. Three key features of the framework include identifying corresponding points inside and on the surface of different muscles, reconstructing average muscle shape and fiber orientations, and utilizing data on between-muscle variation for statistical inferences. The framework can be applied to explore various aspects of muscle mechanics, adaptations, and comparisons between species.
JOURNAL OF APPLIED PHYSIOLOGY
(2022)
Article
Multidisciplinary Sciences
Christoph Praschl, Lydia M. Zopf, Emma Kiemeyer, Ines Langthallner, Daniel Ritzberger, Adrian Slowak, Martin Weigl, Valentin Blueml, Nebojsa Nesic, Milos Stojmenovic, Kathrin M. Kniewallner, Ludwig Aigner, Stephan Winkler, Andreas Walter
Summary: This paper presents a shallow three-dimensional U-Net architecture for vessel segmentation in mouse brains, which can detect blood vessels faster and more reliably compared to state-of-the-art vesselness filters. The model is open-source, can be achieved with a small dataset, and requires only a small subset of labelled training data. The average Dice score of the best setup in the cross-validation evaluation is 61.34%.
Article
Radiology, Nuclear Medicine & Medical Imaging
Alexander Rau, Pia M. Jungmann, Thierno D. Diallo, Marco Reisert, Elias Kellner, Michel Eisenblaetter, Fabian Bamberg, Matthias Jung
Summary: Quantitative MRI techniques, such as diffusion microstructure imaging (DMI), can provide additional information about muscular function and microstructure, potentially serving as a potential biomarker for young athletes.
EUROPEAN RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Anna L. Falkowski, Jon A. Jacobson, Michael T. Hirschmann, Vivek Kalia
Summary: Quadriceps femoris tendon tears are most commonly found in the rectus femoris or vastus lateralis/vastus medialis layers, usually in proximity to the patella. A bony avulsion is correlated with a more severe tear.
EUROPEAN RADIOLOGY
(2021)
Article
Orthopedics
Melinda M. Franettovich Smith, James M. Elliott, Aiman Al-Najjar, Kenneth A. Weber, Mark A. Hoggarth, Bill Vicenzino, Paul W. Hodges, Natalie J. Collins
Summary: This study demonstrates a feasible method for quantifying muscle morphology and composition for individual intrinsic foot muscles using advanced high-field MRI techniques. This method can be used in future studies to better understand intrinsic foot muscle morphology and composition in healthy individuals, as well as those with lower limb disorders.
BMC MUSCULOSKELETAL DISORDERS
(2021)
Article
Engineering, Biomedical
Nadya Shusharina, Christopher Nguyen
Summary: This study investigates the variability of tissue anisotropy derived from diffusion tensor (DT) in the human thigh through DW-MRI. The results provide baseline parameters and protocols for DW-MRI acquisition in future studies in sarcoma patients.
PHYSICS IN MEDICINE AND BIOLOGY
(2023)
Review
Physiology
Henning Wackerhage, Sebastian Gehlert, Henry Schulz, Sebastian Weber, Susanne Ring-Dimitriou, Oliver Heine
Summary: This article introduces the key contributions of the Cologne group to human metabolism research, especially their studies on lactate concentration testing and endurance capacity. They developed a systematic lactate testing method and proposed relevant threshold concepts, while also designing a mathematical model to simulate human energy metabolism during exercise. Their research is significant for understanding the impact of exercise on metabolism.
FRONTIERS IN PHYSIOLOGY
(2022)
Article
Orthopedics
W. Wirth, S. Maschek, A. C. A. Marijnissen, A. Lalande, F. J. Blanco, F. Berenbaum, L. A. van de Stadt, M. Kloppenburg, I. K. Haugen, C. H. Ladel, J. Bacardit, A. Wisser, F. Eckstein, F. W. Roemer, F. P. J. G. Lafeber, H. H. Weinans, M. Jansen
Summary: The study aims to investigate the test-retest precision of cartilage thickness and report longitudinal changes in the IMI-APPROACH cohort. The machine-learning-estimated structural progression score (s-score) was not predictive of cartilage thickness loss.
OSTEOARTHRITIS AND CARTILAGE
(2023)
Article
Orthopedics
Mylene P. Jansen, Frank W. Roemer, Anne Karien C. A. Marijnissen, Margreet Kloppenburg, Francisco J. Blanco, Ida K. Haugen, Francis Berenbaum, Floris P. J. G. Lafeber, Paco M. J. Welsing, Simon C. Mastbergen, Wolfgang Wirth
Summary: The study investigated the correlations between longitudinal weight-bearing radiographic joint space width and non-weight-bearing MRI-based cartilage thickness changes. The results showed weak but statistically significant correlations between changes in medial femorotibial cartilage thickness and changes in medial joint space width. These correlations varied significantly based on cartilage quality and meniscal extrusion.
SKELETAL RADIOLOGY
(2023)
Review
Orthopedics
Wolfgang Wirth, Christoph Ladel, Susanne Maschek, Anna Wisser, Felix Eckstein, Frank Roemer
Summary: This review summarizes the current status of cartilage morphometry in osteoarthritis research, providing insights into future study design and clinical trials. It covers aspects related to acquiring suitable MRI images for cartilage morphometry, analyzing techniques for deriving quantitative measures, quality assurance for reliable cartilage measurement, and appropriate participant recruitment criteria.
SKELETAL RADIOLOGY
(2023)
Article
Rheumatology
Wolfgang Wirth, Susanne Maschek, Anna Wisser, Ali Guermazi, David J. J. Hunter, C. Kent Kwoh, Michael C. C. Nevitt, Felix Eckstein, Frank W. W. Roemer
Summary: This study investigates the association between MRI-based articular pathologies and subsequent cartilage thickness loss. It found that cartilage damage, bone marrow lesions, medial meniscus extrusion or damage, as well as the severity of cartilage and meniscus damage are predictive of progression in the medial femorotibial compartment. MRI assessment can help select appropriate participants for clinical trials and identify those who do not require treatment.
ARTHRITIS CARE & RESEARCH
(2023)
Article
Orthopedics
Frank Roemer, Susanne Maschek, Anna Wisser, Ali Guermazi, David Hunter, Felix Eckstein, Wolfgang Wirth
Summary: This study aimed to assess the association of worsening MRI semi-quantitative tissue features with concurrent change in quantitative cartilage thickness measurements. The study found that worsening cartilage damage, meniscal extrusion and damage, number of subregions affected by bone marrow lesions, maximal size of bone marrow lesions, and worsening effusion- and/or Hoffa synovitis were associated with increased cartilage loss.
Article
Endocrinology & Metabolism
Rafael Heiss, Jean -Denis Laredo, Wolfgang Wirth, Mylene P. Jansen, Anne C. A. Marijnissen, Floris Lafeber, Agnes Lalande, Harrie H. Weinans, Francisco J. Blanco, Francis Berenbaum, Margreet Kloppenburg, Ida K. Haugen, Klaus Engelke, Frank W. Roemer
Summary: Objective: Osteoarthritis (OA) is a highly prevalent chronic condition, and the subchondral bone plays an important role in its onset and progression. This study aimed to investigate the changes in periarticular bone mineral density (BMD) in OA and its relation to meniscal coverage and meniscal extrusion at the knee.
Article
Rheumatology
Ambrish Singh, Alison Venn, Leigh Blizzard, Lyn March, Felix Eckstein, Graeme Jones, Wolfgang Wirth, Flavia Cicuttini, Changhai Ding, Benny Antony
Summary: This study aims to describe the associations between MRI markers and knee symptoms in young adults. The results showed that bone marrow lesions and cartilage defects were positively associated with knee symptoms, while cartilage volume and thickness were weakly and negatively associated with knee symptoms.
Article
Radiology, Nuclear Medicine & Medical Imaging
Mylene P. Jansen, Wolfgang Wirth, Jaume Bacardit, Eefje M. van Helvoort, Anne C. A. Marijnissen, Margreet Kloppenburg, Francisco J. Blanco, Ida K. Haugen, Francis Berenbaum, Cristoph H. Ladel, Marieke Loef, Floris P. J. G. Lafeber, Paco M. Welsing, Simon C. Mastbergen, Frank W. Roemer
Summary: In the IMI-APPROACH knee osteoarthritis study, machine learning models were trained to predict the probability of structural progression. The study found that approximately 1/6 to 1/3 of participants showed structural progression over a 2-year follow-up period. KL scores were observed to be a better predictor of progression than machine-learning-based s-scores.
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY
(2023)
Article
Health Care Sciences & Services
Sonja Jungreitmayr, Verena Venek, Susanne Ring-Dimitriou
Summary: The aim of this study is to compare the health status, physical activity, and fitness parameters of retired individuals in two different cities. The study found that the Viennese population reported less exercise and non-exercise physical activity than the Salzburg population. In addition, objective measurements of muscle strength, balance, and flexibility favored the Salzburg population. The study suggests the need to assess the physical activity and fitness of older people on a regional basis and to include both subjective and objective indicators in monitoring programs.
Article
Orthopedics
T. Schnitzer, M. Pueyo, H. Deckx, E. van der Aar, K. Bernard, S. Hatch, M. van der Stoep, S. Grankov, D. Phung, O. Imbert, D. Chimits, K. Muller, M. C. Hochberg, H. Bliddal, W. Wirth, F. Eckstein, P. G. Conaghan
Summary: This study aimed to evaluate the efficacy and safety of the anti-catabolic ADAMTS-5 inhibitor S201086/GLPG1972 for the treatment of symptomatic knee osteoarthritis. The results showed that S201086/GLPG1972 did not significantly reduce rates of cartilage loss or modify symptoms in adults with knee osteoarthritis.
OSTEOARTHRITIS AND CARTILAGE
(2023)
Editorial Material
Orthopedics
Wolfgang Wirth
OSTEOARTHRITIS AND CARTILAGE
(2023)
Article
Sport Sciences
Martin Puehringer, Susanne Ring-Dimitriou, Bernhard Iglseder, Vanessa Frey, Eugen Trinka, Bernhard Paulweber
Summary: By analyzing the sequencing pattern of ventilatory indices, additional information can be obtained for the interpretation of exercise testing results and exercise intensity recommendation. Our study found that different groups of individuals exist based on the ventilatory indices sequencing pattern, which has implications for exercise prescription.
FRONTIERS IN SPORTS AND ACTIVE LIVING
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Mylene P. Jansen, Wolfgang Wirth, Jaume Bacardit, Eefje M. van Helvoort, Anne C. A. Marijnissen, Margreet Kloppenburg, Francisco J. Blanco, Ida K. Haugen, Francis Berenbaum, Cristoph H. Ladel, Marieke Loef, Floris P. J. G. Lafeber, Paco M. Welsing, Simon C. Mastbergen, Frank W. Roemer
Summary: In this study, machine learning models were used to predict structural progression in knee osteoarthritis patients over a 2-year period. Different radiographic and MRI structural parameters were evaluated for their ability to predict progression. The results showed that between 1/6 and 1/3 of patients showed structural progression during the follow-up period. The machine learning models performed less effectively than the Kellgren-Lawrence grading system, suggesting a need for further development of more accurate prediction models.
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY
(2023)
Meeting Abstract
Orthopedics
K. Sharma, S. Maschek, F. Eckstein, W. Wirth
OSTEOARTHRITIS AND CARTILAGE
(2022)
