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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 appl...

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Published in:Abdominal Radiology Vol. 46; no. 8; pp. 3660 - 3672
Main Authors: 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, Elsayes, Khaled M.
Format: Journal Article
Published: Springer Nature Aug2021
Online Access:View this record in EBSCOhost
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      dt: Aug2021
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      pub: Springer Nature
      place: New York, New York
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        10.1007/s00261-021-03056-1
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        atl: Artificial intelligence in assessment of hepatocellular carcinoma treatment response.
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          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
          Elsayes, Khaled M.
        affil: Department of Radiology, Louisiana State University Health Sciences Center, 1542 Tulane Avenue, Rm 343, 70112, New Orleans, LA, USA
      sug:
      ab: 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).
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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