列线图
医学
肝细胞癌
一致性
逻辑回归
放射科
阿卡克信息准则
回顾性队列研究
多元分析
内科学
肿瘤科
外科
统计
数学
作者
Weifeng Li,Yi‐Hao Yen,Yueh‐Wei Liu,Chih‐Chi Wang,Chee‐Chien Yong,Chih‐Che Lin,Yu‐Fan Cheng,Jing‐Houng Wang,Sheng‐Nan Lu
标识
DOI:10.1016/j.amjsurg.2021.08.012
摘要
To assess preoperative image tumor characteristics and alpha-fetoprotein (AFP) levels to predict early recurrence after liver resection (LR) for hepatocellular carcinoma (HCC).This retrospective study's enrolled patients underwent LR for newly diagnosed HCC between 2011 and 2018. Multivariate logistic regression analyses using the Akaike information criterion were adopted to construct a nomogram to predict early recurrence (i.e. recurrence within 1 year). The performance of this nomogram was evaluated using calibration plots with bootstrapping.Early recurrence was identified in 99 patients (11.2%). Four predictive factors, namely an AFP level of >400 ng/mL; image-diagnosed tumor characteristics, including a tumor size of > 5 cm; vascular invasion; and multiple tumors were adopted in the final model of the early recurrence nomogram, with a concordance index of 0.67. The calibration plots showed good agreement between the nomogram predictions and the actual observations of early recurrence.We have developed a simple nomogram with preoperative image tumor characteristics and AFP levels to predict the early recurrence of HCC after LR.
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