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利用基于自动 nnU-Net 的分割评估 MRI 中腹部脂肪体积和质子密度脂肪分数的性别特异性差异。

Evaluating Sex-specific Differences in Abdominal Fat Volume and Proton Density Fat Fraction at MRI Using Automated nnU-Net-based Segmentation.

机构信息

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.).

出版信息

Radiol Artif Intell. 2024 Jul;6(4):e230471. doi: 10.1148/ryai.230471.

DOI:10.1148/ryai.230471
PMID:38809148
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11294970/
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) and in 81 (54 female and 32 male participants) of these participants after an 8-week formula-based low-calorie diet. Dice scores ranging from 0.91 to 0.97 were achieved for the automatic segmentation. PDFF was found to be lower in visceral adipose tissue compared with subcutaneous adipose tissue in both male and female participants. Before intervention, female participants exhibited higher PDFF in subcutaneous adipose tissue (90.6% vs 89.7%; < .001) and lower PDFF in liver (8.6% vs 13.3%; < .001) and visceral adipose tissue (76.4% vs 81.3%; < .001) compared with male participants. This relation persisted after intervention. As a response to caloric restriction, male participants lost significantly more visceral adipose tissue volume (1.76 L vs 0.91 L; < .001) and showed a higher decrease in subcutaneous adipose tissue PDFF (2.7% vs 1.5%; < .001) than female participants. Automated body composition analysis on quantitative water-fat MRI data provides new insights for understanding sex-specific metabolic response to caloric restriction and weight loss in people with obesity. Obesity, Chemical Shift-encoded MRI, Abdominal Fat Volume, Proton Density Fat Fraction, nnU-Net ClinicalTrials.gov registration no. NCT04023942 Published under a CC BY 4.0 license.

摘要

在一项减肥干预中,使用自动多器官分割定量水脂 MRI 评估肥胖人群的性别特异性腹部器官体积和质子密度脂肪分数 (PDFF)。基于定量化学位移编码 MRI,使用来自 Lifestyle Intervention (LION) 研究参与者的真实标签,采用 nnU-Net 架构自动分割腹部器官,包括内脏和皮下脂肪组织、肝脏以及腰大肌和竖脊肌。在 127 名参与者(73 名女性和 54 名男性,体重指数为 30-39.9 kg/m2)和这些参与者中的 81 名(54 名女性和 32 名男性)中检查了每个器官的体积和脂肪含量,这些参与者接受了 8 周的基于配方的低卡路里饮食。自动分割的 Dice 评分范围为 0.91 至 0.97。与男性参与者相比,女性参与者的内脏脂肪组织的 PDFF 较低,而皮下脂肪组织的 PDFF 较高。在干预前,与男性参与者相比,女性参与者的皮下脂肪组织的 PDFF 较高(90.6%比 89.7%;<.001),而肝脏和内脏脂肪组织的 PDFF 较低(8.6%比 13.3%;<.001)。这种关系在干预后仍然存在。作为对热量限制的反应,男性参与者显著减少了更多的内脏脂肪组织体积(1.76 L 比 0.91 L;<.001),并且皮下脂肪组织的 PDFF 降低幅度更高(2.7%比 1.5%;<.001),比女性参与者高。定量水脂 MRI 数据的自动体成分分析为理解肥胖人群中热量限制和减肥的性别特异性代谢反应提供了新的见解。 肥胖症,化学位移编码 MRI,腹部脂肪量,质子密度脂肪分数,nnU-Net ClinicalTrials.gov 注册号:NCT04023942 发表于 CC BY 4.0 许可下。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbbc/11294970/722bd1b33e52/ryai.230471.fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbbc/11294970/016d1a5c6f63/ryai.230471.fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbbc/11294970/1928ab7d398b/ryai.230471.fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbbc/11294970/722bd1b33e52/ryai.230471.fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbbc/11294970/016d1a5c6f63/ryai.230471.fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbbc/11294970/1928ab7d398b/ryai.230471.fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbbc/11294970/722bd1b33e52/ryai.230471.fig3.jpg

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