Disease-free survival assessment by artificial neural networks for hepatocellular carcinoma patients after radiofrequency ablation.

Journal: Journal of the Formosan Medical Association = Taiwan yi zhi
Published Date: Jan 20, 2017

Abstract

BACKGROUND/PURPOSE: Radiofrequency ablation (RFA) provides an effective treatment for patients who exhibit early hepatocellular carcinoma (HCC) stages or are waiting for liver transplantation. It is important to assess patients after RFA. The goal of this study was to build artificial neural network models with HCC-related variables to predict the 1-year and 2-year disease-free survival (DFS) of HCC patients receiving RFA treatments.

Authors

  • Chiueng-Fang Wu
    Department of Medical Imaging, National Taiwan University Hospital, Taipei, Taiwan.
  • Yu-Jen Wu
    Department of Medical Imaging, Renai Branch, Taipei City Hospital, Taipei, Taiwan.
  • Po-Chin Liang
    Department of Medical Imaging, National Taiwan University Hospital, Taipei, Taiwan.
  • Chih-Horng Wu
    Department of Medical Imaging, National Taiwan University Hospital, Taipei, Taiwan.
  • Shinn-Forng Peng
    Department of Medical Imaging, National Taiwan University Hospital, Taipei, Taiwan.
  • Hung-Wen Chiu
    Graduate Institute of Biomedical Informatics, Taipei Medical University, 250 Wu-Hsing Street, Taipei City, Taiwan. Electronic address: hwchiu@tmu.edu.tw.

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