Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Medical Imaging, Shanghai, 200032, China.
MR Application Predevelopment, Siemens Healthcare GmbH, 91052, Erlangen, Germany.
Eur J Radiol. 2021 Jun;139:109732. doi: 10.1016/j.ejrad.2021.109732. Epub 2021 Apr 22.
We aimed to investigate the potential MR imaging findings in predicting glypican-3 (GPC3)-positive hepatocellular carcinomas (HCCs), with special emphasis on diffusion-weighted imaging (DWI)-based histogram analyses.
Forty-three patients with pathologically-confirmed GPC3-negative HCCs and 100 patients with GPC3-positive HCCs were retrospectively evaluated using contrast-enhanced MRI and DWI. Clinical characteristics and MRI features including DWI-based histogram features were assessed and compared between the two groups. Univariate and multivariate analyses were used to identify the significant clinico-radiologic variables associated with GPC3 expressions that were then incorporated into a predictive nomogram. Nomogram performance was evaluated based on calibration, discrimination, and decision curve analyses.
Features significantly related to GPC3-positive HCCs at univariate analyses were serum alpha-fetoprotein (AFP) levels >20 ng/mL (P < 0.0001), absence of enhancing capsule (P = 0.040), peritumoral enhancement appearance on the arterial phase (P = 0.049), as well as lower mean (P = 0.0278), median (P = 0.0372) and 75th percentile (P = 0.0085) apparent diffusion coefficient (ADC) values. At multivariate analysis, the AFP levels (odds ratio, 11.236; P < 0.0001) and 75th percentile ADC values (odds ratio, 1.009; P = 0.033) were independent risk factors associated with GPC3-positive HCCs. When both criteria were combined, both sensitivity (79.0 %) and specificity (79.1 %) greater than 75 % were achieved, and satisfactory predictive nomogram performance was obtained with a C-index of 0.804 (95 % confidence interval, 0.729-0.866). Decision curve analysis further confirmed the clinical usefulness of the nomogram.
Elevated serum AFP levels and lower 75th percentile ADC values were helpful in differentiating GPC3-positive and GPC3-negative HCCs. The combined nomogram achieved satisfactory preoperative risk prediction of GPC3 expression in HCC patients.
本研究旨在探讨磁共振成像(MRI)在预测磷脂酰肌醇蛋白聚糖-3(glypican-3,GPC3)阳性肝细胞癌(hepatocellular carcinoma,HCC)中的潜在作用,尤其侧重于扩散加权成像(diffusion-weighted imaging,DWI)的直方图分析。
回顾性分析了 43 例经病理证实的 GPC3 阴性 HCC 患者和 100 例 GPC3 阳性 HCC 患者的资料,这些患者均接受了对比增强 MRI 和 DWI 检查。评估了两组患者的临床特征和 MRI 特征,包括 DWI 直方图特征。使用单变量和多变量分析确定与 GPC3 表达相关的显著临床影像学变量,并将其纳入预测列线图。根据校准、判别和决策曲线分析评估列线图的性能。
单变量分析显示,与 GPC3 阳性 HCC 相关的特征包括血清甲胎蛋白(alpha-fetoprotein,AFP)水平>20ng/ml(P<0.0001)、无强化包膜(P=0.040)、动脉期肿瘤周围增强(P=0.049),以及较低的平均(P=0.0278)、中位数(P=0.0372)和 75 百分位数(P=0.0085)表观扩散系数(apparent diffusion coefficient,ADC)值。多变量分析显示,AFP 水平(比值比,11.236;P<0.0001)和 75 百分位数 ADC 值(比值比,1.009;P=0.033)是与 GPC3 阳性 HCC 相关的独立危险因素。当两个标准结合时,敏感性(79.0%)和特异性(79.1%)均大于 75%,且预测列线图的性能良好,C 指数为 0.804(95%置信区间,0.729-0.866)。决策曲线分析进一步证实了该列线图的临床实用性。
血清 AFP 水平升高和 75 百分位数 ADC 值降低有助于区分 GPC3 阳性和 GPC3 阴性 HCC。联合列线图可在术前对 HCC 患者的 GPC3 表达进行满意的风险预测。