Single-slice CT measurements allow for accurate assessment of sarcopenia and body composition

摘要: To evaluate the correlation between simple planimetric measurements in axial computed tomography (CT) slices and of patient body composition anthropometric data performed with bioelectrical impedance analysis (BIA) metric clinical assessments. In this prospective cross-sectional study, we analyzed a cohort 62 consecutive, untreated adult patients advanced malignant melanoma who underwent concurrent BIA assessments at their radiologic baseline staging by CT July 2016 October 2017. assess muscle adipose tissue mass, areas paraspinal muscles as well total area single slice height third lumbar vertebra. These were subsequently correlated (body weight) parameters derived from (muscle fat fat-free visceral mass). Linear regression models built to allow for estimation each parameter based on measurements. allowed accurate prediction weight (adjusted R2 = 0.886), absolute mass 0.866), 0.855), 0.887 0.839, respectively). Our suggest that can accurately quantitatively be determined using slice. This could useful various medical scientific settings, where knowledge patient’s is not immediately or easily available. • Easy perform highly correlate clinically valuable composition. Body acquired non-imaging-based method, which frequently lacking previous studies. The obtained equations facilitate quick, opportunistic assessment relevant