Hu Keshu, Lu Shenxin, Li Miao, Zhang Feng, Tang Bei, Yuan Jia, Shan Yan, Xu Pengju, Chen Rongxin, Ren Zhenggang, Yin Xin
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.
J Cancer. 2020 May 18;11(15):4589-4596. doi: 10.7150/jca.44847. eCollection 2020.
: 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.
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。