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
期刊:
影响因子:
4.6
通讯作者:
Whitcher B
Whitcher B
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Fitzpatrick JA;Basty N;Cule M;Liu Y;Bell JD;Thomas EL;Whitcher B

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腰大肌肌肉测量经常被用作肌肉减少症的标志和健康的预测。最常用的是手动测量横截面积,但测量位置缺乏一致性,手动注释对于大人群研究不实用。我们开发了一种使用卷积神经网络测量髂腰肌体积(由腰肌和髂肌组成)的全自动方法。磁共振图像来自英国生物银行的5000名参与者,年龄,性别和BMI平衡。90个手动注释可用于模型训练和验证。该模型对样本外数据表现出优异的性能(六重交叉验证的平均骰子得分系数为0.9046 ± 0.0058)。在所有5000名参与者中成功测量了髂腰肌体积。男性髂腰肌体积大于女性。有一个小的,但显着的不对称之间的左,右髂腰肌肌肉体积。我们还发现髂腰肌体积与身高、BMI和年龄显著相关,男性肌肉体积随年龄增长而加速下降。我们的方法提供了一个强大的技术测量髂腰肌肌肉体积,可以应用于大型队列。
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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