肝脏 ›› 2025, Vol. 30 ›› Issue (11): 1498-1502.

• 肝肿瘤 • 上一篇    下一篇

基于增强CT定量参数构建原发性肝癌TACE疗效的预测模型

孙薇薇, 葛敬军, 黄晶晶, 柯炜炜, 顾凡, 张继春   

  1. 224200 盐城 东台市中医院影像科(孙薇薇,葛敬军,顾凡,张继春),介入科(黄晶晶);210003 南京 东南大学附属中大医院介入科(柯炜炜)
  • 收稿日期:2024-08-22 出版日期:2025-11-30 发布日期:2026-02-09
  • 通讯作者: 葛敬军,Email:18921876108@163.com
  • 基金资助:
    江苏省自然科学基金项目(BK20201400)

A predictive model established on quantitative parameters of enhanced CT for the efficacy of TACE treatment on primary liver cancer

SUN Wei-wei1, GE Jing-jun2, HUANG Jing-jing3, KE Wei-wei1, GU Fan1, ZHANG Ji-chun1   

  1. 1. Department of Imaging, Dongtai Traditional Chinese Medicine Hospital, Yancheng 224200, China;
    2. Department of Interventional, Dongtai Traditional Chinese Medicine Hospital, Yancheng 224200, China;
    3. Department of Interventional, Zhongda Hospital of Southeast University, Nanjing 210003, China
  • Received:2024-08-22 Online:2025-11-30 Published:2026-02-09
  • Contact: GE Jing-jun,Email:18921876108@163.com

摘要: 目的 基于增强CT定量参数构建原发性肝癌(PLC)经导管肝动脉化疗栓塞术(TACE)疗效的预测模型。方法 回顾性选取东南大学附属中大医院和东台市中医院在2021年1月至2023年12月收治的117例行TACE治疗的PLC患者,所有患者均在术前进行增强CT检查,并收集强化峰值(PH)、肿块强化达峰时间(Tp)、灌注值、肿块与主动脉PH比值(M/A)。术后3个月根据疗效将其分为有效组(76例)和无效组(41例)。收集患者临床相关资料,分析患者疗效的影响因素,并基于增强CT定量参数构建列线图预测模型,应用受试者工作特征(ROC)曲线下面积(AUC)分析模型的预测效能。结果 无效组vs.有效组中, PH[(41.28±10.32)HU vs.(35.57±8.89)HU]、M/A[(0.19±0.05) vs. (0.17±0.04)]、灌注值[(0.38±0.12)mL·min-1·mL-1 vs. (0.21±0.11)mL·min-1·mL-1]无效组均高于有效组(P<0.05)。无效组vs. 有效组中,中国肝癌分期方案(CNLC)Ⅲ期占比为[60.98% vs. 15.79%]、Child-Pugh分级B级占比为[60.98% vs. 40.79%]、肿瘤数目多发占比为[75.61% vs. 48.68%]、术前甲胎蛋白(AFP)[(534.62±81.95)ng/mL vs. (421.58±63.24)ng/mL]、C-反应蛋白/白蛋白(CAR)水平[(1.53±0.38) vs. (1.21±0.31)],无效组均高于有效组(P<0.05)。多因素逐步logistic回归分析显示,灌注值(OR=5.233,95%CI:2.261~12.107)、CNLC分期(OR=6.561,95%CI:3.152~13.656)、肿瘤数目(OR=3.471,95%CI:1.269~9.487)、术前AFP水平(OR=5.725,95%CI:3.105~10.552)是影响患者疗效的独立危险因素(P<0.05)。基于logistic结果构建的列线图模型C-index指数为0.834,预测疗效的校正与理想曲线趋近(P>0.05)。ROC曲线显示,模型对患者疗效预测的灵敏度为88.90%、特异度为91.70%,AUC为0.899(P<0.05)。结论 基于增强CT定量参数灌注值构建的列线图预测模型可较好预测PLC患者TACE疗效。

关键词: 原发性肝癌, 增强CT扫描, 经导管肝动脉化疗栓塞术, 治疗效果, 列线图

Abstract: Objective To construct a predictive model based on quantitative parameters of contrast-enhanced CT for the efficacy of transcatheter arterial chemoembolization (TACE) on the treatment of patients with primary liver cancer (PLC). Methods A total of 117 PLC patients who underwent TACE treatment in Zhongda Hospital Affiliated to Southeast University and Dongtai Hospital of Traditional Chinese Medicine from January 2021 to December 2023 were retrospectively selected. All patients underwent enhanced CT examination before operation, and the peak enhancement (PH), time to peak enhancement (Tp), perfusion value, and PH ratio of the mass to the aorta (M/A) were collected. At 3 months after operation, the patients were divided into an effective group (76 cases) and an ineffective group (41 cases) according to the efficacy. The clinical data of patients were collected, and the influencing factors of the treatment efficacy were analyzed. A nomogram prediction model was constructed based on the quantitative parameters of enhanced CT, and the area under the receiver operating characteristic (ROC) curve (AUC) was used to analyze the prediction efficiency of the model. Results The parameters of ineffective group vs. effective group were as the following: PH[(41.28±10.32) HU vs. (35.57±8.89) HU], M/A[(0.19±0.05) vs. (0.17±0.04)], perfusion value [(0.38±0.12) mL·min-1·mL-1 vs. (0.21±0.11) mL·min-1·mL-1], the values in the ineffective group were higher than those in the effective group (P<0.05). When compared the proportion of Chinese HCC staging plan (CNLC) as stage III [60.98% vs. 15.79%], the proportion of Child-Pugh grade B [60.98% vs. 40.79%], the proportion of multiple tumors [75.61% vs. 48.68%], the preoperative level of alpha-fetoprotein (AFP) [(534.62±81.95) ng/mL vs. (421.58±63.24) ng/mL], and the ratio of C-reactive protein/albumin (CAR) levels [(1.53±0.38 vs. (1.21±0.31)], the values of the ineffective group were higher than those in the effective group (P<0.05). By multivariate stepwise Logistic regression analysis it was showed that the perfusion value (OR=5.233, 95%CI: 2.261~12.107), CNLC stage (OR=6.561, 95%CI: 3.152~13.656), tumor number (OR=3.471, 95%CI: 1.269~9.487) and preoperative AFP level (OR=5.725, 95%CI: 3.105~10.552) were independent risk factors for the efficacy of patients (P<0.05). The C-index of the nomogram model based on the Logistic results was 0.834, and the correction of the predicted efficacy was close to the ideal curve (P>0.05). The ROC curve showed that the sensitivity of the model for predicting the efficacy of TACE treatment on PLC patients was 88.90%, the specificity was 91.70%, and the AUC was 0.899 (P<0.05). Conclusion The nomogram prediction model based on the perfusion values of contrast-enhanced CT quantitative parameters can better predict the efficacy of TACE on the treatment of PLC patients.

Key words: Primary liver cancer, Enhanced CT scan, Transcatheter arterial chemoembolization, The therapeutic effect, Nomogram