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• Clinical Article •
Radiomics for the preoperative prediction of microvascular invasion in hepatocellular carcinoma: A systemic review and Meta-analysis
ZHANG Tong  WU Hui  HU He  GAO Kaihua  YANG Jiao 

Cite this article as: ZHANG T, WU H, HU H, et al. Radiomics for the preoperative prediction of microvascular invasion in hepatocellular carcinoma: A systemic review and Meta-analysis[J]. Chin J Magn Reson Imaging, 2023, 14(1): 82-88. DOI:10.12015/issn.1674-8034.2023.01.015.


[Abstract] Objective To evaluate the predictive power of radiomics models for preoperative evaluation of microvascular invasion (MVI) in hepatocellular carcinoma (HCC) by Meta analysis.Materials and Methods Comprehensive search of studies up to August 20, 2022, on preoperative prediction of liver cancer MVI by radiomics models were screened in PubMed, EMBASE, Cochrane Library, CNKI, and Wanfang Database. Data extraction and quality assessment of the retrieved studies were performed according to inclusion and exclusion criteria. We used the STATA version 16 to analyze the raw data, drew forest plots and summary receiver operating characteristic (SROC) curves, and conducted the subgroup analysis and sensitivity analysis to find the heterogeneity. Moreover, Deek's funnel plots were performed to assess publication bias.Results Thirty-two studies met our criteria and were included. There were 3059 patients, including 1339 with MVI and 1720 without MVI. For the predictive performance of radiomics models, the pooled sensitivity, specificity, and area under the curve (AUC) values were 81% (95% CI: 78%-84%), 82% (95% CI: 79%-85%), and 0.89 (95% CI: 0.85-0.91), respectively.Conclusions Radiomics models showed a promising prediction performance for predicting MVI in HCC. However, more high-quality studies are still needed for further feasibility validation and clinical translation.
[Keywords] hepatocellular carcinoma；microvascular invasion；radiomics；Meta-analysis；magnetic resonance imaging

ZHANG Tong   WU Hui*   HU He   GAO Kaihua   YANG Jiao  

Department of Radiology, Affiliated Hospital of Inner Mongolia Medical University, Hohhot 010050, China

Corresponding author: Wu H, E-mail: terrywuhui@sina.com

Conflicts of interest   None.

ACKNOWLEDGMENTS Natural Science Foundation of Inner Mongolia Autonomous Region (No. 2021MS08026); the General Program of Inner Mongolia Medical University (No. YKD2021MS045).
Received  2022-09-19
Accepted  2022-12-21
DOI: 10.12015/issn.1674-8034.2023.01.015
Cite this article as: ZHANG T, WU H, HU H, et al. Radiomics for the preoperative prediction of microvascular invasion in hepatocellular carcinoma: A systemic review and Meta-analysis[J]. Chin J Magn Reson Imaging, 2023, 14(1): 82-88. DOI:10.12015/issn.1674-8034.2023.01.015.

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