ArticleRadiology. Artificial intelligence2024
Evaluating Sex-specific Differences in Abdominal Fat Volume and Proton Density Fat Fraction at MRI Using Automated nnU-Net-based Segmentation.
Registry-linked trialAbstract read
In one paragraph
Article in Radiology. Artificial intelligence, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04023942 (Lifestyle Intervention Study), which is not on this map. Cited by 6 papers.
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0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Lifestyle Intervention Study
Who cites it
6 citing papers in PubMed.
- Adaptive deep learning for quantification and spatial distribution of abdominal adipose tissue from magnetic resonance imaging proton density fat fraction in adults with a body mass index ≥24 kg/mQuantitative imaging in medicine and surgery · 2026Article
- VIBESegmentator: full body MRI segmentation for the NAKO and UK Biobank.European radiology · 2026Article
- Cross-cohort federated learning for pediatric abdominal adipose tissue segmentation and quantification using free-breathing 3D MRI.Radiology advances · 2026Article
- MR-based fat fraction changes in subcutaneous adipose tissue in people with obesity undergoing a weight loss intervention: results from the LION study.Quantitative imaging in medicine and surgery · 2025Article
- [Brain midline segmentation method based on prior knowledge and path optimization].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2025Article
- Reproducibility of automatic adipose tissue segmentation using proton density fat fraction images between 1.5 and 3.0 T magnetic resonance.Quantitative imaging in medicine and surgery · 2025Article
Corrections and comments
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Authors and funding
14 authors.
Arun Somasundaram *From the Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar (A.S., M. Wu, S.R., J.H., S.N., D.J., L.P., D.C.K.), Institute of Nutritional Medicine, School of Medicine (A.R., M. Wiechert, H.H., C.H.), TUM School of Computation, Information, and Technology (Y.Z., D.R.), TUM School of Medicine and Health (D.R.), and Else Kröner Fresenius Center for Nutritional Medicine, School of Medicine (H.H.), Technical University of Munich, Ismaninger Str 22, 81675 Munich, Germany; Department of Computing, Imperial College London, London, UK (D.R.); Department of Nutritional, Food and Consumer Sciences, Fulda University of Applied Sciences, Fulda, Germany (C.H.); and Munich Institute of Biomedical Engineering and Munich Data Science Institute, Technical University of Munich, Garching, Germany (D.C.K.).ORCID 0009-0007-2428-6858
Mingming Wu *From the Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar (A.S., M. Wu, S.R., J.H., S.N., D.J., L.P., D.C.K.), Institute of Nutritional Medicine, School of Medicine (A.R., M. Wiechert, H.H., C.H.), TUM School of Computation, Information, and Technology (Y.Z., D.R.), TUM School of Medicine and Health (D.R.), and Else Kröner Fresenius Center for Nutritional Medicine, School of Medicine (H.H.), Technical University of Munich, Ismaninger Str 22, 81675 Munich, Germany; Department of Computing, Imperial College London, London, UK (D.R.); Department of Nutritional, Food and Consumer Sciences, Fulda University of Applied Sciences, Fulda, Germany (C.H.); and Munich Institute of Biomedical Engineering and Munich Data Science Institute, Technical University of Munich, Garching, Germany (D.C.K.).ORCID 0000-0002-8593-7091
Anna ReikFrom the Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar (A.S., M. Wu, S.R., J.H., S.N., D.J., L.P., D.C.K.), Institute of Nutritional Medicine, School of Medicine (A.R., M. Wiechert, H.H., C.H.), TUM School of Computation, Information, and Technology (Y.Z., D.R.), TUM School of Medicine and Health (D.R.), and Else Kröner Fresenius Center for Nutritional Medicine, School of Medicine (H.H.), Technical University of Munich, Ismaninger Str 22, 81675 Munich, Germany; Department of Computing, Imperial College London, London, UK (D.R.); Department of Nutritional, Food and Consumer Sciences, Fulda University of Applied Sciences, Fulda, Germany (C.H.); and Munich Institute of Biomedical Engineering and Munich Data Science Institute, Technical University of Munich, Garching, Germany (D.C.K.).
Selina RuppFrom the Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar (A.S., M. Wu, S.R., J.H., S.N., D.J., L.P., D.C.K.), Institute of Nutritional Medicine, School of Medicine (A.R., M. Wiechert, H.H., C.H.), TUM School of Computation, Information, and Technology (Y.Z., D.R.), TUM School of Medicine and Health (D.R.), and Else Kröner Fresenius Center for Nutritional Medicine, School of Medicine (H.H.), Technical University of Munich, Ismaninger Str 22, 81675 Munich, Germany; Department of Computing, Imperial College London, London, UK (D.R.); Department of Nutritional, Food and Consumer Sciences, Fulda University of Applied Sciences, Fulda, Germany (C.H.); and Munich Institute of Biomedical Engineering and Munich Data Science Institute, Technical University of Munich, Garching, Germany (D.C.K.).
Jessie HanFrom the Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar (A.S., M. Wu, S.R., J.H., S.N., D.J., L.P., D.C.K.), Institute of Nutritional Medicine, School of Medicine (A.R., M. Wiechert, H.H., C.H.), TUM School of Computation, Information, and Technology (Y.Z., D.R.), TUM School of Medicine and Health (D.R.), and Else Kröner Fresenius Center for Nutritional Medicine, School of Medicine (H.H.), Technical University of Munich, Ismaninger Str 22, 81675 Munich, Germany; Department of Computing, Imperial College London, London, UK (D.R.); Department of Nutritional, Food and Consumer Sciences, Fulda University of Applied Sciences, Fulda, Germany (C.H.); and Munich Institute of Biomedical Engineering and Munich Data Science Institute, Technical University of Munich, Garching, Germany (D.C.K.).
Stella NaebauerFrom the Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar (A.S., M. Wu, S.R., J.H., S.N., D.J., L.P., D.C.K.), Institute of Nutritional Medicine, School of Medicine (A.R., M. Wiechert, H.H., C.H.), TUM School of Computation, Information, and Technology (Y.Z., D.R.), TUM School of Medicine and Health (D.R.), and Else Kröner Fresenius Center for Nutritional Medicine, School of Medicine (H.H.), Technical University of Munich, Ismaninger Str 22, 81675 Munich, Germany; Department of Computing, Imperial College London, London, UK (D.R.); Department of Nutritional, Food and Consumer Sciences, Fulda University of Applied Sciences, Fulda, Germany (C.H.); and Munich Institute of Biomedical Engineering and Munich Data Science Institute, Technical University of Munich, Garching, Germany (D.C.K.).
Daniela JunkerFrom the Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar (A.S., M. Wu, S.R., J.H., S.N., D.J., L.P., D.C.K.), Institute of Nutritional Medicine, School of Medicine (A.R., M. Wiechert, H.H., C.H.), TUM School of Computation, Information, and Technology (Y.Z., D.R.), TUM School of Medicine and Health (D.R.), and Else Kröner Fresenius Center for Nutritional Medicine, School of Medicine (H.H.), Technical University of Munich, Ismaninger Str 22, 81675 Munich, Germany; Department of Computing, Imperial College London, London, UK (D.R.); Department of Nutritional, Food and Consumer Sciences, Fulda University of Applied Sciences, Fulda, Germany (C.H.); and Munich Institute of Biomedical Engineering and Munich Data Science Institute, Technical University of Munich, Garching, Germany (D.C.K.).
Lisa PatzeltFrom the Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar (A.S., M. Wu, S.R., J.H., S.N., D.J., L.P., D.C.K.), Institute of Nutritional Medicine, School of Medicine (A.R., M. Wiechert, H.H., C.H.), TUM School of Computation, Information, and Technology (Y.Z., D.R.), TUM School of Medicine and Health (D.R.), and Else Kröner Fresenius Center for Nutritional Medicine, School of Medicine (H.H.), Technical University of Munich, Ismaninger Str 22, 81675 Munich, Germany; Department of Computing, Imperial College London, London, UK (D.R.); Department of Nutritional, Food and Consumer Sciences, Fulda University of Applied Sciences, Fulda, Germany (C.H.); and Munich Institute of Biomedical Engineering and Munich Data Science Institute, Technical University of Munich, Garching, Germany (D.C.K.).
Meike WiechertFrom the Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar (A.S., M. Wu, S.R., J.H., S.N., D.J., L.P., D.C.K.), Institute of Nutritional Medicine, School of Medicine (A.R., M. Wiechert, H.H., C.H.), TUM School of Computation, Information, and Technology (Y.Z., D.R.), TUM School of Medicine and Health (D.R.), and Else Kröner Fresenius Center for Nutritional Medicine, School of Medicine (H.H.), Technical University of Munich, Ismaninger Str 22, 81675 Munich, Germany; Department of Computing, Imperial College London, London, UK (D.R.); Department of Nutritional, Food and Consumer Sciences, Fulda University of Applied Sciences, Fulda, Germany (C.H.); and Munich Institute of Biomedical Engineering and Munich Data Science Institute, Technical University of Munich, Garching, Germany (D.C.K.).
Yu ZhaoFrom the Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar (A.S., M. Wu, S.R., J.H., S.N., D.J., L.P., D.C.K.), Institute of Nutritional Medicine, School of Medicine (A.R., M. Wiechert, H.H., C.H.), TUM School of Computation, Information, and Technology (Y.Z., D.R.), TUM School of Medicine and Health (D.R.), and Else Kröner Fresenius Center for Nutritional Medicine, School of Medicine (H.H.), Technical University of Munich, Ismaninger Str 22, 81675 Munich, Germany; Department of Computing, Imperial College London, London, UK (D.R.); Department of Nutritional, Food and Consumer Sciences, Fulda University of Applied Sciences, Fulda, Germany (C.H.); and Munich Institute of Biomedical Engineering and Munich Data Science Institute, Technical University of Munich, Garching, Germany (D.C.K.).
Daniel RueckertFrom the Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar (A.S., M. Wu, S.R., J.H., S.N., D.J., L.P., D.C.K.), Institute of Nutritional Medicine, School of Medicine (A.R., M. Wiechert, H.H., C.H.), TUM School of Computation, Information, and Technology (Y.Z., D.R.), TUM School of Medicine and Health (D.R.), and Else Kröner Fresenius Center for Nutritional Medicine, School of Medicine (H.H.), Technical University of Munich, Ismaninger Str 22, 81675 Munich, Germany; Department of Computing, Imperial College London, London, UK (D.R.); Department of Nutritional, Food and Consumer Sciences, Fulda University of Applied Sciences, Fulda, Germany (C.H.); and Munich Institute of Biomedical Engineering and Munich Data Science Institute, Technical University of Munich, Garching, Germany (D.C.K.).ORCID 0000-0002-5683-5889
Hans HaunerFrom the Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar (A.S., M. Wu, S.R., J.H., S.N., D.J., L.P., D.C.K.), Institute of Nutritional Medicine, School of Medicine (A.R., M. Wiechert, H.H., C.H.), TUM School of Computation, Information, and Technology (Y.Z., D.R.), TUM School of Medicine and Health (D.R.), and Else Kröner Fresenius Center for Nutritional Medicine, School of Medicine (H.H.), Technical University of Munich, Ismaninger Str 22, 81675 Munich, Germany; Department of Computing, Imperial College London, London, UK (D.R.); Department of Nutritional, Food and Consumer Sciences, Fulda University of Applied Sciences, Fulda, Germany (C.H.); and Munich Institute of Biomedical Engineering and Munich Data Science Institute, Technical University of Munich, Garching, Germany (D.C.K.).ORCID 0000-0002-1682-5088
Christina HolzapfelFrom the Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar (A.S., M. Wu, S.R., J.H., S.N., D.J., L.P., D.C.K.), Institute of Nutritional Medicine, School of Medicine (A.R., M. Wiechert, H.H., C.H.), TUM School of Computation, Information, and Technology (Y.Z., D.R.), TUM School of Medicine and Health (D.R.), and Else Kröner Fresenius Center for Nutritional Medicine, School of Medicine (H.H.), Technical University of Munich, Ismaninger Str 22, 81675 Munich, Germany; Department of Computing, Imperial College London, London, UK (D.R.); Department of Nutritional, Food and Consumer Sciences, Fulda University of Applied Sciences, Fulda, Germany (C.H.); and Munich Institute of Biomedical Engineering and Munich Data Science Institute, Technical University of Munich, Garching, Germany (D.C.K.).ORCID 0000-0002-0155-9338
Dimitrios C KarampinosFrom the Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar (A.S., M. Wu, S.R., J.H., S.N., D.J., L.P., D.C.K.), Institute of Nutritional Medicine, School of Medicine (A.R., M. Wiechert, H.H., C.H.), TUM School of Computation, Information, and Technology (Y.Z., D.R.), TUM School of Medicine and Health (D.R.), and Else Kröner Fresenius Center for Nutritional Medicine, School of Medicine (H.H.), Technical University of Munich, Ismaninger Str 22, 81675 Munich, Germany; Department of Computing, Imperial College London, London, UK (D.R.); Department of Nutritional, Food and Consumer Sciences, Fulda University of Applied Sciences, Fulda, Germany (C.H.); and Munich Institute of Biomedical Engineering and Munich Data Science Institute, Technical University of Munich, Garching, Germany (D.C.K.).ORCID 0000-0003-4922-3662
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sex-specific abdominal organ volume and proton density fat fraction (PDFF) in people with obesity during a weight loss intervention was assessed with automated multiorgan segmentation of quantitative water-fat MRI. An nnU-Net architecture was employed for automatic segmentation of abdominal organs, including visceral and subcutaneous adipose tissue, liver, and psoas and erector spinae muscle, based on quantitative chemical shift-encoded MRI and using ground truth labels generated from participants of the Lifestyle Intervention (LION) study. Each organ's volume and fat content were examined in 127 participants (73 female and 54 male participants; body mass index, 30-39.9 kg/m
Indexed as
Abdominal FatMagnetic Resonance ImagingAdultCaloric RestrictionFemaleHumansMaleMiddle AgedObesityProtonsSex FactorsProtonsAbdominal Fat VolumeChemical Shift–encoded MRInnU-NetObesityProton Density Fat Fraction
Identifiers
What Socratic holds
Textmetadata
LicenceCC BY
Read underepoch 390
Registered trials
NCT04023942ClinicalTrials.gov
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.