Department of Radiation Medicine, Brenden Colson Center for Pancreatic Care, Cancer Early Detection Advanced Research Center, Oregon Health & Science University, Portland, USA.
Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center El Paso, El Paso, USA.
Radiother Oncol. 2021 Jun;159:21-27. doi: 10.1016/j.radonc.2021.03.005. Epub 2021 Mar 15.
Sarcopenia is associated with decreased survival in head and neck cancer patients treated with radiotherapy. This study sought to determine whether in-clinic multifrequency bioelectrical impedance analysis (BIA) can identify survival-associated sarcopenia in patients with head and neck cancer.
This prospective observational study enrolled 50 patients with head and neck cancer undergoing radiation therapy. Baseline BIA measures of skeletal muscle (SM) mass, fat-free mass (FFM), and fat mass (FM) were compared to CT-based estimates using linear regression. Sex-specific BIA-derived thresholds for sarcopenia were defined by the maximum Youden Index on receiver operator characteristic (ROC) curves. Patients were stratified by sarcopenia status and OS was compared using the Kaplan-Meier method and log-rank test.
Among 48 evaluable patients, BIA measures of body composition were strongly correlated with CT measures: SM mass (r = 0.97; R = 0.94; p < 0.0001), FFM (r = 0.97; R = 0.94; p < 0.0001) and FM (r = 0.95; R = 0.90; p < 0.0001). SM mass index < 9.19 kg/m identified sarcopenia men with high sensitivity (91.7%) and specificity (92.9%), whereas in women SM mass index < 6.53 kg/m was sensitive for sarcopenia (100%), but not specific. Patients with sarcopenia, defined by either CT or BIA, exhibited decreased OS (HR = not estimable; CT p = 0.009; BIA p = 0.03).
BIA provides accurate estimates of body composition in head and neck cancer patients. Implementation of BIA in clinical practice may identify patients with sarcopenia at risk for poor survival.
在接受放疗的头颈部癌症患者中,肌肉减少症与生存率降低有关。本研究旨在确定门诊多频生物电阻抗分析(BIA)是否能识别头颈部癌症患者的与生存相关的肌肉减少症。
本前瞻性观察研究纳入了 50 例接受放疗的头颈部癌症患者。使用线性回归比较基线 BIA 测量的骨骼肌(SM)量、去脂体重(FFM)和脂肪量(FM)与 CT 基于估计值。通过接收器操作特征(ROC)曲线的最大 Youden 指数定义了性别特异性 BIA 衍生的肌肉减少症阈值。根据肌肉减少症状态对患者进行分层,并使用 Kaplan-Meier 方法和对数秩检验比较 OS。
在 48 例可评估的患者中,身体成分的 BIA 测量值与 CT 测量值高度相关:SM 量(r=0.97;R=0.94;p<0.0001)、FFM(r=0.97;R=0.94;p<0.0001)和 FM(r=0.95;R=0.90;p<0.0001)。SM 质量指数<9.19 kg/m 可识别男性肌肉减少症,具有高敏感性(91.7%)和特异性(92.9%),而在女性中,SM 质量指数<6.53 kg/m 对肌肉减少症具有敏感性(100%),但特异性较低。无论使用 CT 还是 BIA 定义,肌肉减少症患者的 OS 均降低(HR=不可估计;CT p=0.009;BIA p=0.03)。
BIA 对头颈部癌症患者的身体成分提供了准确的估计。在临床实践中实施 BIA 可能会识别出有肌肉减少症风险的患者,这些患者的生存预后较差。