AI-driven Characterization of Solid Pulmonary Nodules on CT Imaging for Enhanced Malignancy Prediction in Small-sized Lung Adenocarcinoma.

Journal: Clinical lung cancer
Published Date: Jul 1, 2024

Abstract

OBJECTIVES: Distinguishing solid nodules from nodules with ground-glass lesions in lung cancer is a critical diagnostic challenge, especially for tumors ≤2 cm. Human assessment of these nodules is associated with high inter-observer variability, which is why an objective and reliable diagnostic tool is necessary. This study focuses on artificial intelligence (AI) to automatically analyze such tumors and to develop prospective AI systems that can independently differentiate highly malignant nodules.

Authors

  • Yujin Kudo
    Department of Surgery, Tokyo Medical University, Japan. Electronic address: ykudo@tokyo-med.ac.jp.
  • Taiyo Nakamura
    Department of Surgery, Tokyo Medical University, Japan.
  • Jun Matsubayashi
    Department of Anatomic Pathology, Tokyo Medical University, 6-7-1 Nishi Shinjuku, Shinjuku-ku, Tokyo, 160-0023, Japan.
  • Akimichi Ichinose
    Imaging Technology Center, ICT Strategy Division, Fujifilm Corporation, 2-26-30, Nishi-Azabu, Minato-ku, Tokyo, Japan.
  • Yushi Goto
    Department of Surgery, Tokyo Medical University, Japan.
  • Ryosuke Amemiya
    Department of Surgery, Tokyo Medical University, Japan.
  • Jinho Park
    Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, 49 Convent Dr., Bethesda, MD 20894, USA.
  • Yoshihisa Shimada
    Department of Thoracic Surgery, Tokyo Medical University, Tokyo, Japan. zenkyu@za3.so-net.ne.jp.
  • Masatoshi Kakihana
    Department of Surgery, Tokyo Medical University, 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.
  • Jun Masumoto
    Fujifilm Corporation, Japan.
  • Norihiko Ikeda
    Committee for Promotion of Remote Surgery Implementation, Japan Surgical Society, Tokyo, Japan.

Keywords

External Resources

Popular Topics
Recent Journals