Radiomics for the detection of microvascular invasion in hepatocellular carcinoma

World J Gastroenterol. 2022 May 28;28(20):2176-2183. doi: 10.3748/wjg.v28.i20.2176.

Abstract

Hepatocellular carcinoma (HCC) is the most common primary liver cancer, accounting for about 90% of liver cancer cases. It is currently the fifth most common cancer in the world and the third leading cause of cancer-related mortality. Moreover, recurrence of HCC is common. Microvascular invasion (MVI) is a major factor associated with recurrence in postoperative HCC. It is difficult to evaluate MVI using traditional imaging modalities. Currently, MVI is assessed primarily through pathological and immunohistochemical analyses of postoperative tissue samples. Needle biopsy is the primary method used to confirm MVI diagnosis before surgery. As the puncture specimens represent just a small part of the tumor, and given the heterogeneity of HCC, biopsy samples may yield false-negative results. Radiomics, an emerging, powerful, and non-invasive tool based on various imaging modalities, such as computed tomography, magnetic resonance imaging, ultrasound, and positron emission tomography, can predict the HCC-MVI status preoperatively by delineating the tumor and/or the regions at a certain distance from the surface of the tumor to extract the image features. Although positive results have been reported for radiomics, its drawbacks have limited its clinical translation. This article reviews the application of radiomics, based on various imaging modalities, in preoperative evaluation of HCC-MVI and explores future research directions that facilitate its clinical translation.

Keywords: Diagnostic imaging; Hepatocellular carcinoma; Liver; Microvascular invasion; Radiomics; Texture analysis.

Publication types

  • Review

MeSH terms

  • Carcinoma, Hepatocellular* / pathology
  • Humans
  • Liver Neoplasms* / diagnostic imaging
  • Liver Neoplasms* / surgery
  • Microvessels / diagnostic imaging
  • Microvessels / pathology
  • Neoplasm Invasiveness / pathology
  • Retrospective Studies
  • Tomography, X-Ray Computed / methods