Large-scale analysis of iliopsoas muscle volumes in the UK Biobank.
Large-scale analysis of iliopsoas muscle volumes in the UK Biobank.
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DOI:
10.1038/s41598-020-77351-0
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发表时间:
2020-11-19
影响因子:
4.6
通讯作者:
Whitcher B
中科院分区:
文献类型:
--
作者:
Fitzpatrick JA;Basty N;Cule M;Liu Y;Bell JD;Thomas EL;Whitcher B
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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影响因子:
2.4
作者:
Hanson, P;Magnusson, SP;Simonsen, EB
通讯作者:
Simonsen, EB
影响因子:
8.9
作者:
Gu DH;Kim MY;Seo YS;Kim SG;Lee HA;Kim TH;Jung YK;Kandemir A;Kim JH;An H;Yim HJ;Yeon JE;Byun KS;Um SH
通讯作者:
Um SH
影响因子:
4.6
作者:
Hervochon, Remi;Bobbio, Antonio;Alifano, Marco
通讯作者:
Alifano, Marco
DOI:
10.1007/s11605-015-2835-y
发表时间:
2015-09
期刊:
Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract
影响因子:
--
作者:
Amini N;Spolverato G;Gupta R;Margonis GA;Kim Y;Wagner D;Rezaee N;Weiss MJ;Wolfgang CL;Makary MM;Kamel IR;Pawlik TM
通讯作者:
Pawlik TM
影响因子:
3.8
作者:
Delitto, Daniel;Judge, Sarah M.;Trevino, Jose G.
通讯作者:
Trevino, Jose G.