A Pilot Study on Deep Learning With Simplified Intravoxel Incoherent Motion Diffusion-Weighted MRI Parameters for Differentiating Hepatocellular Carcinoma From Other Common Liver Masses.

Journal: Topics in magnetic resonance imaging : TMRI
PMID: 40249154

Abstract

OBJECTIVES: To develop and evaluate a deep learning technique for the differentiation of hepatocellular carcinoma (HCC) using "simplified intravoxel incoherent motion (IVIM) parameters" derived from only 3 b-value images.

Authors

  • Phimphitcha Ratiphunpong
    Department of Radiologic Technology, Faculty of Associated Medical Science, Chiang Mai University, Chiang Mai, Thailand.
  • Nakarin Inmutto
    Department of Radiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand. Electronic address: nakarin.i@cmu.ac.th.
  • Salita Angkurawaranon
    Department of Radiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand. Electronic address: salita.ang@cmu.ac.th.
  • Kittichai Wantanajittikul
    Department of Radiologic Technology, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai, Thailand.
  • Atita Suwannasak
    Department of Radiologic Technology, Faculty of Associated Medical Sciences, Chiang Mai University, 110 Intavaroros Road, Muang, Chiang Mai, 50200, Thailand.
  • Uten Yarach
    Department of Radiologic Technology, Faculty of Associated Medical Sciences, Chiang Mai University, 110 Intavaroros Road, Muang, Chiang Mai, 50200, Thailand. uten.yarach@cmu.ac.th.

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