Artificial intelligence-based technology for semi-automated segmentation of rectal cancer using high-resolution MRI.

Journal: PloS one
Published Date: Jun 17, 2022

Abstract

AIM: Although MRI has a substantial role in directing treatment decisions for locally advanced rectal cancer, precise interpretation of the findings is not necessarily available at every institution. In this study, we aimed to develop artificial intelligence-based software for the segmentation of rectal cancer that can be used for staging to optimize treatment strategy and for preoperative surgical simulation.

Authors

  • Atsushi Hamabe
    Department of Surgery, Surgical Oncology and Science, Sapporo Medical University, Sapporo, Japan.
  • Masayuki Ishii
    Department of Surgery, Surgical Oncology and Science, Sapporo Medical University, Sapporo, Japan.
  • Rena Kamoda
    FUJIFILM Corporation, Tokyo, Japan.
  • Saeko Sasuga
    FUJIFILM Corporation, Tokyo, Japan.
  • Koichi Okuya
    Department of Surgery, Surgical Oncology and Science, Sapporo Medical University, Sapporo, Japan.
  • Kenji Okita
    Department of Surgery, Surgical Oncology and Science, Sapporo Medical University, Sapporo, Japan.
  • Emi Akizuki
    Department of Surgery, Surgical Oncology and Science, Sapporo Medical University, Sapporo, Japan.
  • Yu Sato
    Department of Cardiovascular Medicine, Fukushima Medical University, Fukushima, Japan.
  • Ryo Miura
    Department of Surgery, Surgical Oncology and Science, Sapporo Medical University, Sapporo, Japan.
  • Koichi Onodera
    Department of Diagnostic Radiology, Sapporo Medical University, Sapporo, Japan.
  • Masamitsu Hatakenaka
    Department of Diagnostic Radiology, Sapporo Medical University, Sapporo, Japan.
  • Ichiro Takemasa
    Department of Gastroenterological Surgery, Osaka University Graduate School of Medicine, Suita City, Osaka, Japan.

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