基于胸部CT的体成分测量预警肌少症高风险人群OA

Objective To perform body composition analysis based on chest CT,explore the risk factors for possible sarcopenia,and construct models using different body composition parameters to evaluate their diagnostic per-formance.Methods A total of 1 231 volunteers aged over 50 years who underwent chest CT scans were enrolled.Using OsiriX software,bilateral pectoralis,paravertebral,and trunk muscle areas,densities,and fat contents were manually measured on single axial slices at the T4,T12,and L3 levels.Visceral and subcutaneous fat areas were also measured at the L3 level.Logistic regression models were used to analyze the associations between body composition parameters and possible sarcopenia.The area under the receiver operating characteristic(ROC)curve(AUC)was calculated to assess the diagnostic efficacy of each model.Results Muscle density of the pectoralis,paravertebral,and trunk muscles was lower in the possible sarcopenia group,while fat content in the pectoralis and paravertebral muscles was higher.Higher pectoralis and paravertebral muscle fat content were risk factors for possible sarcopenia(men:pectoralis OR=1.352,pa-ravertebral OR=1.335;women:pectoralis OR=1.234,paravertebral OR=1.208)Trunk muscle area was a protective factor in women(OR=0.698).The comprehensive model incorporating basic characteristics and all body composition pa-rameters showed the highest AUC values(0.664 in men and 0.697 in women).Conclusion Body composition parame-ters derived from chest CT can serve as quantitative imaging markers for the early identification of individuals at high risk of possible sarcopenia.These measurements offer a valuable opportunity for sarcopenia risk assessment during routine lung cancer screening.Women should pay more attention to fat infiltration in the pectoralis and paravertebral muscles and trunk muscle size,while men should focus on maintaining muscle mass.