3.8 Article

Utilization of Mid-Thigh Magnetic Resonance Imaging to Predict Lean Body Mass and Knee Extensor Strength in Obese Adults

期刊

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fresc.2022.808538

关键词

obesity; MRI; quadriceps; intramuscular adipose tissue; convolutional neural network (CNN)

资金

  1. University of Colorado Anschutz Medical Campus PMR Pilot Grant [R01DK111559]
  2. National Institutes of Aging [T32AG000279]
  3. NIH [K12 HD055931]

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The study aimed to train and test a machine learning model to automatically measure mid-thigh muscle cross-sectional area (CSA) for rapid estimation of appendicular lean mass (ALM) and prediction of knee extensor torque in obese adults. The results showed that the automated measurements of mid-thigh CSA were highly accurate and strongly related to leg lean mass, ALM, knee extensor strength, and moderately related to knee flexor strength. This suggests that mid-thigh MRI can be used to accurately estimate measures of lean mass and function in obese adults.
PurposeTo train and test a machine learning model to automatically measure mid-thigh muscle cross-sectional area (CSA) to provide rapid estimation of appendicular lean mass (ALM) and predict knee extensor torque of obese adults. MethodsObese adults [body mass index (BMI) = 30-40 kg/m(2), age = 30-50 years] were enrolled for this study. Participants received full-body dual-energy X-ray absorptiometry (DXA), mid-thigh MRI, and completed knee extensor and flexor torque assessments via isokinetic dynamometer. Manual segmentation of mid-thigh CSA was completed for all MRI scans. A convolutional neural network (CNN) was created based on the manual segmentation to develop automated quantification of mid-thigh CSA. Relationships were established between the automated CNN values to the manual CSA segmentation, ALM via DXA, knee extensor, and flexor torque. ResultsA total of 47 obese patients were enrolled in this study. Agreement between the CNN-automated measures and manual segmentation of mid-thigh CSA was high (>0.90). Automated measures of mid-thigh CSA were strongly related to the leg lean mass (r = 0.86, p < 0.001) and ALM (r = 0.87, p < 0.001). Additionally, mid-thigh CSA was strongly related to knee extensor strength (r = 0.76, p < 0.001) and moderately related to knee flexor strength (r = 0.48, p = 0.002). ConclusionCNN-measured mid-thigh CSA was accurate compared to the manual segmented values from the mid-thigh. These values were strongly predictive of clinical measures of ALM and knee extensor torque. Mid-thigh MRI may be utilized to accurately estimate clinical measures of lean mass and function in obese adults.

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