Artificial intelligence in assessment of hepatocellular carcinoma treatment response
Abdom Radiol (NY) . 2021 Mar 31. doi: 10.1007/s00261-021-03056-1. Online ahead of print.
Bradley Spieler, Carl Sabottke, Ahmed W Moawad, Ahmed M Gabr, Mustafa R Bashir, Richard Kinh Gian Do, Vahid Yaghmai, Radu Rozenberg, Marielia Gerena, Joseph Yacoub, Khaled M Elsayes
Artificial Intelligence (AI) continues to shape the practice of radiology, with imaging of hepatocellular carcinoma (HCC) being of no exception. This article prepared by members of the LI-RADS Treatment Response (TR LI-RADS) work group and associates, presents recent trends in the utility of AI applications for the volumetric evaluation and assessment of HCC treatment response. Various topics including radiomics, prognostic imaging findings, and locoregional therapy (LRT) specific issues will be discussed in the framework of HCC treatment response classification systems with focus on the Liver Reporting and Data System treatment response algorithm (LI-RADS TRA).
Read Full Article Here: https://doi.org/10.1007/s00261-021-03056-1