Tseng Watson Hua-Sheng, Huang Shu-Chun, Wang Stewart C, Lin Jules, Zhang Peng, Liu Yu-Chen, Chao Yin-Kai, Chiu Chien-Hung
Department of Medical Education, Chang Gung Memorial Hospital at Linkou, Taoyuan 33305, Taiwan.
Department of Physical Medicine and Rehabilitation, New Taipei Municipal Tucheng Hospital, Chang Gung Memorial Hospital, New Taipei City 236043, Taiwan.
World J Gastrointest Surg. 2025 Aug 27;17(8):108600. doi: 10.4240/wjgs.v17.i8.108600.
Morphomics, a computed tomography-based body composition assessment, helps predicting esophageal cancer outcomes, but its link to bioelectrical impedance analysis (BIA) and functional assessments such as hand grip strength (HGS) and cardiopulmonary exercise testing (CPET) remains unclear.
To investigate correlations between morphomics and BIA, HGS, CPET, and assess its ability to predict low cardiorespiratory fitness (CRF).
Fifty esophageal cancer patients underwent multi-level morphomics, BIA, HGS, and CPET. Correlations were analyzed using heatmaps and scatter plots, and logistic regression assessed morphomic predictive value for low CRF.
T11 is the only level with complete morphomic data, making it the most applicable. To ensure reliability, T11 and its adjacent levels, T10-12, were included in the subsequent analysis. Dorsal muscle group volume from T10-12 morphomics all correlated positively with BIA muscle components ( = 0.56-0.68, all < 0.001), HGS ( = 0.4-0.48, all < 0.001), and CPET variables ( = 0.43-0.51, all < 0.001). Subcutaneous fat area and visceral fat area from morphomics correlated with body fat percentage ( = 0.58-0.67, all < 0.001) and negatively with CPET parameters ( = -0.33 to -0.52, all < 0.05). Morphomics also showed potential in identifying low CRF, with an area under the receiver operating characteristic curve of 0.778.
T11 morphomics shows strong correlation with BIA, HGS, and CPET, and may serve as a practical tool for preoperative risk assessment in esophageal cancer patients.
形态计量学是一种基于计算机断层扫描的身体成分评估方法,有助于预测食管癌的预后,但其与生物电阻抗分析(BIA)以及诸如握力(HGS)和心肺运动试验(CPET)等功能评估之间的联系仍不清楚。
研究形态计量学与BIA、HGS、CPET之间的相关性,并评估其预测低心肺适能(CRF)的能力。
50例食管癌患者接受了多层次的形态计量学、BIA、HGS和CPET检查。使用热图和散点图分析相关性,并通过逻辑回归评估形态计量学对低CRF的预测价值。
T11是唯一具有完整形态计量学数据的层面,使其成为最适用的层面。为确保可靠性,后续分析纳入了T11及其相邻层面T10 - 12。T10 - 12形态计量学的背部肌肉群体积均与BIA肌肉成分呈正相关( = 0.56 - 0.68,均 < 0.001)、与HGS呈正相关( = 0.4 - 0.48,均 < 0.001)以及与CPET变量呈正相关( = 0.43 - 0.51,均 < 0.001)。形态计量学的皮下脂肪面积和内脏脂肪面积与体脂百分比呈正相关( = 0.58 - 0.67,均 < 0.001),与CPET参数呈负相关( = -0.33至 -0.52,均 < 0.05)。形态计量学在识别低CRF方面也显示出潜力,受试者工作特征曲线下面积为0.778。
T11形态计量学与BIA、HGS和CPET显示出强烈相关性,可作为食管癌患者术前风险评估的实用工具。