首页> 外文期刊>International journal of applied mechanics >Muscle Loss after Chemoradiotherapy as a Biomarker of Distant Failures in Locally Advanced Cervical Cancer
【24h】

Muscle Loss after Chemoradiotherapy as a Biomarker of Distant Failures in Locally Advanced Cervical Cancer

机译:化学疗法后肌肉损失作为局部晚期宫颈癌遥远故障的生物标志物

获取原文
获取原文并翻译 | 示例
           

摘要

This study aimed to evaluate whether computed tomography (CT)-based muscle measurement predicts distant failure in patients with locally advanced cervical cancer (LACC). Data from 278 patients with LACC who underwent chemoradiation therapy (CCRT) between 2004 and 2017 were analysed. Changes in the skeletal muscle index (SMI), skeletal muscle density, and total adipose tissue index during CCRT were calculated from CT images taken at the baseline and after CCRT. The predictive capability of CT-based muscle measurement for distant failure was evaluated using Cox proportional hazards regression, Harrell's concordance index (C-index), and time-dependent receiver operating characteristic curves. SMI loss similar to 5% was independently associated with worse distant recurrence-free survival (DRFS) (HR: 6.31, 95% CI: 3.18-12.53; p < 0.001). The addition of muscle change to clinical models, including International Federation of Gynaecology and Obstetrics (FIGO) stage, lymph nodes, pathology, and squamous cell carcinoma-antigen, achieved higher C-indices (0.824 vs. 0.756; p < 0.001). Models including muscle change had superior C-indices than those including weight change (0.824 vs. 0.758; p < 0.001). The area under the curve for predicting 3-year DRFS was the highest for the muscle-loss model (0.802, muscle-loss model; 0.635, clinical model; and 0.646, weight-loss model). Our study demonstrated that muscle loss after CCRT was independently associated with worse DRFS and that integrating muscle loss into models including classical prognostic factors improved the prediction of distant failure.
机译:本研究旨在评估是否计算了计算机断层扫描(CT)的肌肉测量预测局部晚期宫颈癌(LACC)的患者的远处失败。分析了2004年至2017年期间接受化学疗法(CCRT)的278例LACC患者的数据。 CCR骨骼肌肉指数(SMI),骨骼肌密度和总脂肪组织指数的变化由基线拍摄的CT图像和CCRT拍摄的CT图像计算。使用Cox比例危险回归,Harrell的一致性指数(C-Index)和时间相关接收器操作特征曲线评估CT基肌肉测量的预测能力。与5%相似的SMI损失与较差的远程复发存活(DRF)(HR:6.31,95%CI:3.18-12.53; P <0.001)独立相关。向临床模型添加肌肉变化,包括国际妇科和妇产科(FICO)阶段,淋巴结,病理和鳞状细胞癌 - 抗原,达到较高的C-Indices(0.824与0.756; P <0.001)。包括肌肉变化的模型具有优于的C型索引,而不是那些重量变化(0.824与0.758; P <0.001)。用于预测3年DRF的曲线下的区域是肌肉损失模型的最高(0.802,肌肉损失模型; 0.635,临床模型;和0.646,减肥模型)。我们的研究表明,CCRT后的肌肉损失与更差的DRF相关,并且将肌肉损失整合到包括经典预后因素的模型中,改善了远程失效的预测。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号