Sun H L, Yu Y X, Gu W H, Shen B Q, Zhang T, Fan Y F, Wu Q, Shi C, Wang X M, Hu C H
Department of Radiology, the First Affiliated Hospital of Soochow University, Institute of Medical Imaging of Soochow University, Suzhou 215006, China.
Department of Radiology, the First People's Hospital of Taicang, Suzhou 215400, China.
Zhonghua Yi Xue Za Zhi. 2024 Sep 3;104(34):3228-3235. doi: 10.3760/cma.j.cn112137-20240708-01499.
To develop and validate clinical and radiomics models based on gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid (Gd-EOB-DTPA)-enhanced MRI of dual-phenotype hepatocellular carcinoma (DPHCC) for preoperative differential diagnosis. Two hundred and fifty inpatients of hepatocellular carcinoma (HCC) confirmed by postoperative pathology, who underwent Gd-EOB-DTPA-enhanced MRI were retrospectively included. A total of 172 inpatients (72 DPHCC and 100 non-DPHCC) were included in Institution 1 (the First Affiliated Hospital of Soochow University) as a training cohort (between January 2020 and July 2023) and 78 inpatients (44 DPHCC and 34 non-DPHCC) were included in Institution 2 (the Third People's Hospital of Nantong) as an external validation cohort(between January 2019 and July 2023). The regions of interest of the tumor were delineated layer by layer in noncontrast phase, arterial phase (AP), portal venous phase (PP) and hepatobiliary phase (HBP) images. The software of FAE was used to extract the radiomics features of the images. Pearson correlation analysis and recursive feature elimination were used for feature selection. Each phase and combined radiomics models were established using logistic regression, linear discriminant analysis and support vector machine. Receiver operating characteristic curve and the areas under the curve (AUC) were used to evaluate and select the dominant radiomics model. The dominant radiomics model was combined with clinically independent predictors to construct a clinical radiomics model. Delong test was used to compare the performance of the models. The age of the training cohort was (59.6±10.4) years, in which there were 135 men (78.5%). In the external validation cohort, the age was (57.8±9.2) years, including 56 men (71.8%). The maximum diameters of the lesions [ (, ), 4.7 (2.6, 7.5) vs 2.7 (1.8, 4.4) cm, <0.001] and the proportion of the multiple lesions (39.5% vs 16.7%, <0.001) in the training cohort were higher than those in the external validation cohort. In the training group, the proportion of patients with hepatitis B virus (HBV) infection in the DPHCC subgroup (66.7%,48/172) was higher than that in non-DPHCC subgroup (49.0%,49/78,=0.021). In the external validation cohort, the AUC (95%) of the PP [0.835 (0.733-0.937)] and combined radiomics models [0.786 (0.681-0.891)] were significantly higher than that of noncontrast phase [0.451 (0.319-0.584)], AP [0.566 (0.435-0.696)] and HBP models [0.496 (0.363-0.629)] (all <0.05). There was no significant difference in AUC between PP radiomics model and combined radiomics model (=0.189). The AUC between the radiomics models and clinical-radiomics models, which were brought into clinically independent variable HBV, showed no significant difference (all >0.05). Gd-EOB-DTPA-enhanced MRI radiomics model based on portal venous phase may be available for discriminating DPHCC from non-DPHCC before operation.
基于钆塞酸二钠(Gd-EOB-DTPA)增强磁共振成像(MRI)建立并验证用于双表型肝细胞癌(DPHCC)术前鉴别诊断的临床和影像组学模型。回顾性纳入250例经术后病理证实为肝细胞癌(HCC)且接受了Gd-EOB-DTPA增强MRI检查的住院患者。苏州大学附属第一医院(机构1)纳入172例住院患者(72例DPHCC和100例非DPHCC)作为训练队列(2020年1月至2023年7月),南通第三人民医院(机构2)纳入78例住院患者(44例DPHCC和34例非DPHCC)作为外部验证队列(2019年1月至2023年7月)。在平扫期、动脉期(AP)、门静脉期(PP)和肝胆期(HBP)图像上逐层勾勒肿瘤的感兴趣区。使用FAE软件提取图像的影像组学特征。采用Pearson相关分析和递归特征消除进行特征选择。使用逻辑回归、线性判别分析和支持向量机建立各期及联合影像组学模型。采用受试者操作特征曲线及曲线下面积(AUC)评估和选择优势影像组学模型。将优势影像组学模型与临床独立预测因素相结合构建临床影像组学模型。采用Delong检验比较模型的性能。训练队列患者年龄为(59.6±10.4)岁,其中男性135例(78.5%)。外部验证队列中,年龄为(57.8±9.2)岁,男性56例(71.8%)。训练队列中病变的最大径[(,),4.7(2.6,7.5)cm对2.7(1.8,4.4)cm,<0.001]和多发病变比例(39.5%对16.7%,<0.001)高于外部验证队列。训练组中,DPHCC亚组乙肝病毒(HBV)感染患者比例(66.7%,48/72)高于非DPHCC亚组(49.0%,49/100)(=0.021)。在外部验证队列中,PP期[0.835(0.733 - 0.937)]和联合影像组学模型[0.786(0.681 - 0.891)]的AUC(95%)显著高于平扫期[0.451(0.319 - 0.584)]、AP期[0.566(0.435 - 0.696)]和HBP期模型[0.496(0.363 - 0.629)](均<0.05)。PP期影像组学模型与联合影像组学模型的AUC无显著差异(=0.189)。纳入临床独立变量HBV后的影像组学模型与临床 - 影像组学模型的AUC无显著差异(均>0.05)。基于门静脉期的Gd-EOB-DTPA增强MRI影像组学模型可能有助于术前鉴别DPHCC与非DPHCC。