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Large-Scale Analysis of Iliopsoas Muscle Volumes in the UK Biobank

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Document pages: 10 pages

Abstract: Psoas muscle measurements are frequently used as markers of sarcopenia andpredictors of health. Manually measured cross-sectional areas are most commonlyused, but there is a lack of consistency regarding the position of themeasurementand manual annotations are not practical for large populationstudies. We have developed a fully automated method to measure iliopsoas musclevolume (comprised of the psoas and iliacus muscles) using a convolutionalneural network. Magnetic resonance images were obtained from the UK Biobank for5,000 male and female participants, balanced for age, gender and BMI. Ninetymanual annotations were available for model training and validation. The modelshowed excellent performance against out-of-sample data (dice score coefficientof 0.912 + - 0.018). Iliopsoas muscle volumes were successfully measured in all5,000 participants. Iliopsoas volume was greater in male compared with femalesubjects. There was a small but significant asymmetry between left and rightiliopsoas muscle volumes. We also found that iliopsoas volume was significantlyrelated to height, BMI and age, and that there was an acceleration in musclevolume decrease in men with age. Our method provides a robust technique formeasuring iliopsoas muscle volume that can be applied to large cohorts.

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