首页|Diagnostic Accuracy of the Apparent Diffusion Coefficient for Microvascular Invasion in Hepatocellular Carcinoma: A Meta-analysis

Diagnostic Accuracy of the Apparent Diffusion Coefficient for Microvascular Invasion in Hepatocellular Carcinoma: A Meta-analysis

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Background and Aims: Microvascular invasion (MVI) is a major risk factor for the early recurrence of hepatocel-lular carcinoma (HCC) and it seriously worsens the prog-nosis. Accurate preoperative evaluation of the presence of MVI could greatly benefit the treatment management and prognosis prediction of HCC patients. The study aim was to evaluate the diagnostic performance of the apparent dif-fusion coefficient (ADC), a quantitative parameter for the preoperative diagnosis MVI in HCC patients. Methods:Original articles about diffusion-weighted imaging (DWI) and/or intravoxel incoherent motion (IVIM) conducted on a 3.0 or 1.5 Tesla magnetic resonance imaging (MRI) system indexed through January 17, 2021were collected from MED-LINE/PubMed, Web of Science, EMBASE, and the Cochrane Library. Methodological quality was evaluated using Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2). The pooled sensitivity, specificity, and summary area un-der the receiver operating characteristic curve (AUROC) were calculated, and meta-regression analysis was per-formed using a bivariate random effects model through a meta-analysis. Results: Nine original articles with a total of 988 HCCs were included. Most studies had low bias risk and minimal applicability concerns. The pooled sensitivity, specificity and AUROC of the ADC value were 73％, 70％, and 0.78, respectively. The time interval between the index test and the reference standard was identified as a pos-sible source of heterogeneity by subgroup meta-regression analysis. Conclusions: Meta-analysis showed that the ADC value had moderate accuracy for predicting MVI in HCC. The time interval accounted for the heterogeneity.

Hepatocellular carcinomaMeta-analysisDiagnostic accuracyDiffusion-weighted imagingMicrovascular invasion.

Yuhui Deng、Jisheng Li、Hui Xu、Ahong Ren、Zhenchang Wang、Dawei Yang、Zhenghan Yang

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Department of Radiology,Beijing Friendship Hospital,Capital Medical University,Beijing,China

Medical Imaging Division,Heilongjiang Provincial Hospital,Harbin Institute of Technology,Harbin,Heilongjiang,China

Department of Interventional Radiology,Yantai Penglai Traditional Chinese Medicine Hospital,Yantai,Shandong,China

国家自然科学基金国家自然科学基金Bei-jing Natural Science FoundationHei-longjiang province Science Foundation for YouthsBeijing Municipal Administration of Hospitals'Youth Programme

82071876618712767184199QC201807QML20200108

2022

10.14218/JCTH.2021.00254

临床与转化肝病杂志(英文版)

临床与转化肝病杂志(英文版)

ISSN：
年,卷(期)：2022.10(4)
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