Department of Radiology, Beijing Friendship Hospital, Capital Medical University, 95 YongAn Road, Xicheng District, Beijing, 100050, People's Republic of China.
Department of Interventional Radiography, Beijing Friendship Hospital, Capital Medical University, 95 YongAn Road, Xicheng District, Beijing, 100050, People's Republic of China.
BMC Med Imaging. 2022 Oct 7;22(1):176. doi: 10.1186/s12880-022-00900-8.
We aimed to evaluate the value of using preoperative magnetic resonance imaging (MRI) features and clinical indicators to predict the early response of hepatocellular carcinoma (HCC) to transcatheter arterial chemoembolization (TACE). We also aimed to establish a preoperative prediction model.
We retrospectively reviewed data of 111 patients with HCC who underwent magnetic resonance imaging (MRI) before the first TACE and underwent MRI or computed tomography between 30 and 60 days after TACE. We used the modified response evaluation criteria in solid tumors for evaluating the TACE response. We used univariate and multivariate logistic regression analyses to identify independent predictors based on MRI features and clinical indicators. Moreover, receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of the prediction model and each independent predictor.
Among the 111 included patients, 85 were men (76.6%). Patient age was 31-86 years (average age, 61.08 ± 11.50 years). After the first treatment session, 56/111 (50.5%) patients showed an objective response (complete response + partial response), whereas the remaining showed non-response (stable disease + local progressive disease). In the univariate analysis, we identified irregular margins, number of nodules, and satellite nodules as predictors of early objective response. However, in the multivariate logistic regression analysis, irregular margins, number of nodules and pretreatment platelet were identified as the independent predictors of early objective response. A combined prediction model was then established, which factored in irregular margins, the number of nodules, and the pretreatment platelet count. This model showed good diagnostic performance (area under the ROC curve = 0.755), with the sensitivity, specificity, positive predictive value, and negative predictive value being 78.6%, 69.1%, 72.1%, and 76.0%, respectively.
Irregular margins, the number of nodules and the pretreatment platelet count are independent predictors of the early response of HCC to TACE. Our clinical combined model can provide a superior predictive power to a single indicator.
本研究旨在评估术前磁共振成像(MRI)特征和临床指标预测肝细胞癌(HCC)经导管动脉化疗栓塞(TACE)早期疗效的价值,并建立术前预测模型。
回顾性分析 111 例行首次 TACE 治疗前 MRI 检查,并于 TACE 后 30-60 天行 MRI 或 CT 检查的 HCC 患者的临床资料。采用改良实体瘤疗效评价标准(mRECIST)评价 TACE 疗效。采用单因素和多因素逻辑回归分析确定基于 MRI 特征和临床指标的独立预测因素。同时,采用受试者工作特征(ROC)曲线分析评估预测模型和各独立预测因素的诊断效能。
111 例患者中,男性 85 例(76.6%),年龄 31-86 岁(平均 61.08±11.50 岁)。初次治疗后,56/111 例(50.5%)患者达到客观缓解(完全缓解+部分缓解),55/111 例(50.0%)患者为疾病稳定(疾病无进展+疾病进展)。单因素分析显示,肿瘤边界不规则、结节数目、卫星结节是早期客观缓解的预测因素。多因素逻辑回归分析显示,肿瘤边界不规则、结节数目和血小板计数是早期客观缓解的独立预测因素。进一步建立联合预测模型,纳入肿瘤边界不规则、结节数目和血小板计数。该模型具有良好的诊断效能(ROC 曲线下面积为 0.755),敏感度、特异度、阳性预测值和阴性预测值分别为 78.6%、69.1%、72.1%和 76.0%。
肿瘤边界不规则、结节数目和血小板计数是 HCC 经 TACE 治疗早期疗效的独立预测因素。本研究建立的临床联合模型较单一指标具有更高的预测效能。