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一种预测不可切除肝细胞癌经动脉化疗栓塞难治性发生风险的新型预处理模型。

A Novel Pre-treatment Model Predicting Risk of Developing Refractoriness to Transarterial Chemoembolization in Unresectable Hepatocellular Carcinoma.

作者信息

Hu Keshu, Lu Shenxin, Li Miao, Zhang Feng, Tang Bei, Yuan Jia, Shan Yan, Xu Pengju, Chen Rongxin, Ren Zhenggang, Yin Xin

机构信息

Liver Cancer Institute & Zhongshan Hospital, Fudan University, Shanghai, China; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education.

Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.

出版信息

J Cancer. 2020 May 18;11(15):4589-4596. doi: 10.7150/jca.44847. eCollection 2020.

Abstract

: Refractoriness to transarterial chemoembolization is common during the therapeutic process of hepatocellular carcinoma, which is an intractable issue and may compromise the prognosis. We aim to establish a pre-treatment model to identify patients with high risks of refractoriness. : From 2010 to 2016, 824 treatment-naive patients who had initially underwent at least two sessions of transarterial chemoembolization in Zhongshan Hospital, Fudan University were retrospectively enrolled. These patients were randomly allocated into a training cohort and a validation cohort. The pre-treatment scoring model was established based on the clinical and radiological variables using logistic regression and nomogram. The discrimination and calibration of the model were also evaluated. : Logistic regression identified vascularization pattern, ALBI grade, serum alpha-fetoprotein level, serum γ-glutamyl transpeptidase level and major tumor size as the key parameters related to refractoriness. The p-TACE model was established using these variables (risk score range: 0-19.5). Patients were divided into six risk subgroups based on their scores (<4, ≥4, ≥7, ≥10, ≥13, ≥16). The discriminative ability, as determined by the area under receiver operating characteristic curve was 0.784 (95% confidence interval: 0.741-0.827) in the training cohort and 0.743 (95% confidence interval: 0.696-0.789) in the validation cohort. Moreover, satisfactory calibration was confirmed by Hosmer-Lemeshow test with P values of 0.767 and 0.913 in the training cohort and validation cohort. : This study presents a pre-treatment model to identify patients with high risks of refractoriness after transarterial chemoembolization and shed light on clinical decision making.

摘要

在肝细胞癌治疗过程中,经动脉化疗栓塞术难治性很常见,这是一个棘手的问题,可能会影响预后。我们旨在建立一种预处理模型,以识别具有高难治性风险的患者。:2010年至2016年,复旦大学附属中山医院824例初治患者被回顾性纳入,这些患者最初至少接受了两次经动脉化疗栓塞术。这些患者被随机分为训练队列和验证队列。基于临床和放射学变量,使用逻辑回归和列线图建立预处理评分模型。还评估了模型的辨别力和校准度。:逻辑回归确定血管化模式、ALBI分级、血清甲胎蛋白水平、血清γ-谷氨酰转肽酶水平和主要肿瘤大小是与难治性相关的关键参数。使用这些变量建立了p-TACE模型(风险评分范围:0-19.5)。根据评分将患者分为六个风险亚组(<4、≥4、≥7、≥10、≥13、≥16)。训练队列中,受试者工作特征曲线下面积确定的辨别能力为0.784(95%置信区间:0.741-0.827),验证队列中为0.743(95%置信区间:0.696-0.789)。此外,训练队列和验证队列中Hosmer-Lemeshow检验的P值分别为0.767和0.913,证实校准良好。:本研究提出了一种预处理模型,以识别经动脉化疗栓塞术后具有高难治性风险的患者,并为临床决策提供参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8af2/7255373/b8eb8e61f162/jcav11p4589g001.jpg

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