Deep learning-based automatic detection of pancreatic ductal adenocarcinoma ≤ 2 cm with high-resolution computed tomography: impact of the combination of tumor mass detection and indirect indicator evaluation.

Journal: Japanese journal of radiology
Published Date: Jul 18, 2025

Abstract

PURPOSE: Detecting small pancreatic ductal adenocarcinomas (PDAC) is challenging owing to their difficulty in being identified as distinct tumor masses. This study assesses the diagnostic performance of a three-dimensional convolutional neural network for the automatic detection of small PDAC using both automatic tumor mass detection and indirect indicator evaluation.

Authors

  • Mizuki Ozawa
    Department of Diagnostic Radiology, National Cancer Center Hospital, 5-1-1, Tsukiji, Chuo-ku, Tokyo, 1040045, Japan. mizukiozawa0717@gmail.com.
  • Miyuki Sone
    Department of Diagnostic Radiology, National Cancer Center Hospital, 5-1-1, Tsukiji, Chuo-ku, Tokyo, 1040045, Japan.
  • Susumu Hijioka
    Department of Hepatobiliary and Pancreatic Oncology, National Cancer Center Hospital, 5-1-1, Tsukiji, Chuo-ku, Tokyo, 1040045, Japan.
  • Hidenobu Hara
    Department of Hepatobiliary and Pancreatic Oncology, National Cancer Center Hospital, 5-1-1, Tsukiji, Chuo-ku, Tokyo, 1040045, Japan.
  • Yusuke Wakatsuki
    Department of Gastroenterology, Yokohama City Minato Red Cross Hospital, Yokohama, Japan.
  • Toshihiro Ishihara
    Department of Radiological Technology, National Cancer Center Japan, Tokyo, Japan.
  • Chihiro Hattori
    Canon Medical Systems Corporation, Tochigi, Japan.
  • Ryo Hirano
    Canon Medical Systems Corporation, Tochigi, Japan.
  • Shintaro Ambo
    Canon Medical Systems Corporation, Tochigi, Japan.
  • Minoru Esaki
    Department of Hepatobiliary and Pancreatic Surgery, National Cancer Center Hospital, 5-1-1, Tsukiji, Chuo-ku, Tokyo, 1040045, Japan.
  • Masahiko Kusumoto
    Department of Diagnostic Radiology, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.
  • Yoshiyuki Matsui
    Department of Urological Oncology, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, Japan.

Keywords

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