Establishment of artificial intelligence model for precise histological subtyping of lung adenocarcinoma and its application to quantitative and spatial analysis.

Journal: Japanese journal of clinical oncology
Published Date:

Abstract

BACKGROUND: The histological subtype of lung adenocarcinoma is a major prognostic factor. We developed a new artificial intelligence model to classify lung adenocarcinoma images into seven histological subtypes and adopted the model for whole-slide images to investigate the relationship between the distribution of histological subtypes and clinicopathological factors.

Authors

  • Eisuke Miura
    Department of Pathology, Keio University School of Medicine, Tokyo, Japan.
  • Katsura Emoto
    Department of Pathology, Keio University School of Medicine, Tokyo, Japan.
  • Tokiya Abe
    Department of Pathology, Keio University School of Medicine, Tokyo, Japan.
  • Akinori Hashiguchi
    Department of Pathology, Keio University School of Medicine, Tokyo, Japan.
  • Tomoyuki Hishida
    Division of Thoracic Surgery, Department of Surgery, Keio University School of Medicine, Tokyo, Japan.
  • Keisuke Asakura
    Division of Thoracic Surgery, Department of Surgery, Keio University School of Medicine, Tokyo, Japan.
  • Michiie Sakamoto
    Department of Pathology, Keio University School of Medicine, Tokyo, Japan.