Preoperative evaluation of visceral pleural invasion in peripheral lung cancer utilizing deep learning technology.

Journal: Surgery today
Published Date: May 23, 2024

Abstract

PURPOSE: This study aimed to assess the efficiency of artificial intelligence (AI) in the detection of visceral pleural invasion (VPI) of lung cancer using high-resolution computed tomography (HRCT) images, which is challenging for experts because of its significance in T-classification and lymph node metastasis prediction.

Authors

  • Yujin Kudo
    Department of Surgery, Tokyo Medical University, Japan. Electronic address: ykudo@tokyo-med.ac.jp.
  • Akira Saito
    Division of Life Science and Engineering, School of Science and Engineering, Tokyo Denki University (TDU), Ishizaka, Hatoyama-Machi, Hiki-Gun, Saitama, 350-0394, Japan.
  • Tomoaki Horiuchi
    Chi Corporation, 6-10-2 Shinjuku, Shinjuku-ku, Tokyo, Japan.
  • Kotaro Murakami
    Department of Surgery, Tokyo Medical University, 6-7-1 Nishishinjuku, Shinjuku-ku, Tokyo, Japan.
  • Masaharu Kobayashi
    Chi Corporation, Shinjuku-ku, Tokyo, 101-0042, Japan.
  • Jun Matsubayashi
    Department of Anatomic Pathology, Tokyo Medical University, 6-7-1 Nishi Shinjuku, Shinjuku-ku, Tokyo, 160-0023, Japan.
  • Toshitaka Nagao
    Department of Anatomic Pathology, Tokyo Medical University, 6-7-1 Nishi Shinjuku, Shinjuku-ku, Tokyo, 160-0023, Japan.
  • Tatsuo Ohira
    Department of Surgery, Tokyo Medical University, Japan.
  • Masahiko Kuroda
  • Norihiko Ikeda
    Committee for Promotion of Remote Surgery Implementation, Japan Surgical Society, Tokyo, Japan.

Keywords

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