Kim David Sooik, Kim Beom Kyung, Lee Jae Seung, Lee Hye Won, Park Jun Yong, Kim Do Young, Ahn Sang Hoon, Kim Seung Up
Department of Internal Medicine, Yonsei University College of Medicine, Seoul 03722, Korea.
Institute of Gastroenterology, Yonsei University College of Medicine, Seoul 03722, Korea.
Cancers (Basel). 2021 Dec 23;14(1):67. doi: 10.3390/cancers14010067.
This study attempted to validate the prognostic performance of the proposed Pre- and Post-TACE (transarterial chemoembolization)-Predict models, in comparison with other models for prognostication. One-hundred-and-eighty-seven patients with HCC who underwent TACE were recruited. Regarding overall survival (OS), the predictive performance of the Pre-TACE-Predict model (one-year integrated area under the curve (iAUC) 0.685 (95% confidence interval (CI) 0.593-0.772)) was better than that of the Post-TACE-Predict model (iAUC 0.659 (95% CI 0.580-0.742)). However, there was no significant statistical difference between two models at any time point. For comparison between models using pre-treatment factors, the modified hepatoma arterial embolization prognostic (mHAP)-II model demonstrated significantly better predictive performance at one year (iAUC 0.767 (95% CI 0.683-0.847)) compared with Pre-TACE-Predict. For comparison between models using first TACE response, the SNACOR model was significantly more predictive at one year (iAUC 0.778 (95% CI 0.687-0.866) vs. 0.659 (95% CI 0.580-0.742), respectively) and three years (iAUC 0.707 (95% CI 0.646-0.770) vs. 0.624 (95% CI 0.564-0.688), respectively) than the Post-TACE-Predict model. mHAP-II and SNACOR may be preferred over the Pre- and Post-TACE-Predict models, respectively, considering their similar or better performance and the ease of application.
本研究试图验证所提出的经动脉化疗栓塞术(TACE)前后预测模型的预后性能,并与其他预后模型进行比较。招募了187例接受TACE治疗的肝癌患者。关于总生存期(OS),TACE前预测模型的预测性能(一年综合曲线下面积(iAUC)为0.685(95%置信区间(CI)为0.593 - 0.772))优于TACE后预测模型(iAUC为0.659(95%CI为0.580 - 0.742))。然而,在任何时间点,两个模型之间均无显著统计学差异。对于使用治疗前因素的模型之间的比较,改良肝癌动脉栓塞预后(mHAP)-II模型在一年时的预测性能(iAUC为0.767(95%CI为0.683 - 0.847))明显优于TACE前预测模型。对于使用首次TACE反应的模型之间的比较,SNACOR模型在一年时(iAUC分别为0.778(95%CI为0.687 - 0.866)和0.659(95%CI为0.580 - 0.742))以及三年时(iAUC分别为0.707(95%CI为0.646 - 0.770)和0.624(95%CI为0.564 - 0.688))的预测能力均显著高于TACE后预测模型。考虑到mHAP-II和SNACOR的性能相似或更优且应用更简便,它们可能分别比TACE前后预测模型更具优势。