Application of texture analysis of CT and MR images to determine the histologic grade of hepatocellular cancer and it’s differential diagnosis: a review

In recent years, more foreign publications are devoted to the use of texture analysis or radiomics in solving certain diagnostic problems, including diagnosis hepatocellular cancer (HCC). This method processing medical images allows for a comprehensive assessment structure neoplasms by extracting large number quantitative features from images. The purpose study was determine role CT and MR differential determination degree differentiation HCC based on review results publications. We searched scientific PubMed information analytical system 2015–2021. keywords: “HCC”, “texture analysis” (texture analysis), “radiomics”, “CT”, “MRI”, “grade”, “differential diagnosis”. After excluding reviews studying full text articles, 21 articles were selected analysis. Despite growing successful textural images, non-invasive histological grade with hypervascular neoplasms, metastases, regenerative dysplastic nodes, such type routine practice is limited due lack standardized methods performing analysis, which leads low reproducibility results. parameters image acquisition preprocessing segmentation affect obtained features. addition, presented studies performed using different sequences phases contrast enhancement, as well software, makes it difficult compare data. certainly demonstrates promising requires further investigation systematize standardize data order develop an optimal model wide clinical use.