Department of Radiology, Beijing Friendship Hospital, 26455Capital Medical University, Beijing, PR China.
Medical Imaging Division, 159365Heilongjiang Provincial Hospital, Harbin Institute of Technology, Harbin, PR China.
Acta Radiol. 2022 Oct;63(10):1303-1314. doi: 10.1177/02841851211038806. Epub 2021 Aug 30.
Microvascular invasion (MVI) is a major risk factor for early recurrence in patients with hepatocellular carcinoma (HCC). Preoperative accurate evaluation of the presence of MVI could enormously benefit its treatment and prognosis.
To evaluate and compare the diagnostic performance of two imaging features (non-smooth tumor margin and peritumor hypointensity) in the hepatobiliary phase (HBP) to preoperatively diagnose the presence of MVI in HCC.
Original articles were collected from Medline/PubMed, Web of Science, EMBASE, and the Cochrane Library up to 17 January 2021 linked to gadoxetate disodium-enhanced magnetic resonance imaging (MRI) on 1.5 or 3.0 T. The pooled sensitivity, specificity, and summary area under the receiver operating characteristic curve (AUC) were calculated and meta-regression analyses were performed.
A total of 14 original articles involving 2193 HCCs were included. The pooled sensitivity and specificity of non-smooth tumor margin and peritumor hypointensity were 73% and 61%, and 43% and 90%, respectively, for the diagnosis of MVI in HCC. The summary AUC of non-smooth tumor margin (0.74) was comparable to that of peritumor hypointensity (0.76) ( = 0.693, = 0.488). The meta-regression analysis identified four covariates as possible sources of heterogeneity: average size; time interval between index test and reference test; blindness to index test during reference test; and risk of bias score.
This meta-analysis showed moderate and comparable accuracy for predicting MVI in HCC using either non-smooth tumor margin or peritumor hypointensity in HBP. Four discovered covariates accounted for the heterogeneity.
微血管侵犯(MVI)是肝细胞癌(HCC)患者早期复发的主要危险因素。术前准确评估 MVI 的存在可以极大地改善其治疗和预后。
评估和比较肝胆期(HBP)两种影像学特征(非光滑肿瘤边缘和肿瘤周围低信号)术前诊断 HCC 中 MVI 存在的诊断性能。
从 Medline/PubMed、Web of Science、EMBASE 和 Cochrane Library 中收集了截至 2021 年 1 月 17 日的原始文章,这些文章与钆塞酸二钠增强磁共振成像(MRI)在 1.5 或 3.0 T 上相关。计算了汇总敏感性、特异性和受试者工作特征曲线(ROC)下的汇总面积(AUC),并进行了元回归分析。
共纳入 14 项原始研究,涉及 2193 例 HCC。非光滑肿瘤边缘和肿瘤周围低信号对 HCC 中 MVI 的诊断敏感性和特异性分别为 73%和 61%,43%和 90%。非光滑肿瘤边缘的汇总 AUC(0.74)与肿瘤周围低信号的汇总 AUC(0.76)相当(P=0.693,P=0.488)。元回归分析确定了四个可能的混杂因素:平均大小;索引测试和参考测试之间的时间间隔;参考测试期间对索引测试的盲目性;以及偏倚风险评分。
这项荟萃分析表明,在 HBP 中使用非光滑肿瘤边缘或肿瘤周围低信号预测 HCC 中的 MVI 具有中等且相当的准确性。四个发现的混杂因素解释了异质性。