Radiomics of hepatocellular carcinoma: promising roles in patient selection, prediction, and assessment of treatment response

Amir A. Borhani*, Roberta Catania, Yuri S. Velichko, Stefanie Hectors, Bachir Taouli, Sara Lewis

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

9 Scopus citations

Abstract

Radiomics refers to the process of conversion of conventional medical images into quantifiable data (“features”) which can be further mined to reveal complex patterns and relationships between the voxels in the image. These high throughput features can potentially reflect the histology of biologic tissues at macroscopic and microscopic levels. Several studies have investigated radiomics of hepatocellular carcinoma (HCC) before and after treatment. HCC is a heterogeneous disease with diverse phenotypical and genotypical landscape. Due to this inherent heterogeneity, HCC lesions can manifest variable aggressiveness with different response to treatment options, including the newer targeted therapies. Hence, radiomics can be used as a potential tool to enable patient selection for therapies and to predict response to treatments and outcome. Additionally, radiomics may serve as a tool for earlier and more efficient assessment of response to treatment. Radiomics, radiogenomics, and radio-immunoprofiling and their potential roles in management of patients with HCC will be discussed and critically reviewed in this article.

Original languageEnglish (US)
Pages (from-to)3674-3685
Number of pages12
JournalAbdominal Radiology
Volume46
Issue number8
DOIs
StatePublished - Aug 2021

Keywords

  • Hepatocellular carcinoma
  • Oncology
  • Radiogenomics
  • Radiomics

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Gastroenterology
  • Urology

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