ArticleScientific reports2020
Large-scale analysis of iliopsoas muscle volumes in the UK Biobank.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- Preoperative Psoas Muscle Index and Psoas Attenuation in Patients Undergoing Nephrectomy for Renal Cell Carcinoma: A Retrospective Cohort Study.Medicina (Kaunas, Lithuania) · 2026Article
- Computed Tomography-Based Assessment of Sarcopenia and Disease Progression in Pancreatic Ductal Adenocarcinoma: A Radiomics and Machine Learning Approach.Gastroenterology research · 2026Article
- Autopsy case report of rapidly progressive iliopsoas abscess caused byRadiology case reports · 2026Article
- Automated deep-learning quantification of intramuscular fat in lumbar spine muscles on Dixon MRI: validation and normative reference values from 173 healthy adults.BMC medical imaging · 2026Article
- Deep learning predicts onset acceleration of 38 age-associated diseases from blood and body composition biomarkers in the UK Biobank.GeroScience · 2026Article
- Age- and BMI-Dependent Psoas and Gluteus Muscle Mass in 27,805 Participants of the Population-Based German National Cohort (NAKO Gesundheitsstudie): A Deep-Learning 3T MRI Study.Diagnostics (Basel, Switzerland) · 2026Article
- The Standing Forward Flexion Test in Manual Therapy: A Critical Review and a Functional Reinterpretation.Cureus · 2026Review
- Changes in the anatomical positions of the femoral nerve and artery in the lateral and supine positions: a multicenter retrospective study.Archives of orthopaedic and trauma surgery · 2025Article
- Evaluation of Attenuation of Lumbar Epaxial Musculature in Dogs with Spinal Pathology.Animals : an open access journal from MDPI · 2025Article
- Validation of musculoskeletal segmentation model with uncertainty estimation for bone and muscle assessment in hip-to-knee clinical CT images.Scientific reports · 2025Article
- Skeletal muscle size and quality in healthy kidney donors, normal range and clinical associations.Scientific reports · 2024Article
- The psoas muscle index as a useful predictor of total hip arthroplasty outcomes.Archives of orthopaedic and trauma surgery · 2024Article
- Precision MRI phenotyping of muscle volume and quality at a population scale.Frontiers in physiology · 2024Article
- Postictal vertebral fractures: Incidence, risk factors, and clinical outcomes. A systematic review.Brain & spine · 2024Article
- Moderate exercise-induced dynamics on key sepsis-associated signaling pathways in the liver.Critical care (London, England) · 2023Article
- Muscle group-specific skeletal muscle aging: a 5-yr longitudinal study in septuagenarians.Journal of applied physiology (Bethesda, Md. : 1985) · 2023Article
- Intra-operator Repeatability of Manual Segmentations of the Hip Muscles on Clinical Magnetic Resonance Images.Journal of digital imaging · 2023Article
- Article
- Artifact-free fat-water separation in Dixon MRI using deep learning.Journal of big data · 2023Article
- The impact of sarcopenia on the postoperative outcome in colorectal cancer surgery.Medicine and pharmacy reports · 2023Review
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Authors and funding
7 authors.
Funding
Abstract
Psoas muscle measurements are frequently used as markers of sarcopenia and predictors of health. Manually measured cross-sectional areas are most commonly used, but there is a lack of consistency regarding the position of the measurement and manual annotations are not practical for large population studies. We have developed a fully automated method to measure iliopsoas muscle volume (comprised of the psoas and iliacus muscles) using a convolutional neural network. Magnetic resonance images were obtained from the UK Biobank for 5000 participants, balanced for age, gender and BMI. Ninety manual annotations were available for model training and validation. The model showed excellent performance against out-of-sample data (average dice score coefficient of 0.9046 ± 0.0058 for six-fold cross-validation). Iliopsoas muscle volumes were successfully measured in all 5000 participants. Iliopsoas volume was greater in male compared with female subjects. There was a small but significant asymmetry between left and right iliopsoas muscle volumes. We also found that iliopsoas volume was significantly related to height, BMI and age, and that there was an acceleration in muscle volume decrease in men with age. Our method provides a robust technique for measuring iliopsoas muscle volume that can be applied to large cohorts.
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