Artificial Intelligence in Assessment of Hepatocellular Carcinoma Treatment Response
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).
Spieler, Bradley; Sabottke, Carl; Moawad, Ahmed W.; Gabr, Ahmed M.; Bashir, Mustafa R.; Do, Richard Kinh Gian; Yaghmai, Vahid; Rozenberg, Radu; Gerena, Marielia; Yacoub, Joseph; and Elsayes, Khaled M., "Artificial Intelligence in Assessment of Hepatocellular Carcinoma Treatment Response" (2021). School of Medicine Faculty Publications. 347.