Prediction of Lymph Node Metastasis in Lung Cancer Using Deep Learning of Endobronchial Ultrasound Images With Size on CT and PET-CT Findings.

Journal: Respirology (Carlton, Vic.)
Published Date: Mar 3, 2025

Abstract

BACKGROUND AND OBJECTIVE: Echo features of lymph nodes (LNs) influence target selection during endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA). This study evaluates deep learning's diagnostic capabilities on EBUS images for detecting mediastinal LN metastasis in lung cancer, emphasising the added value of integrating a region of interest (ROI), LN size on CT, and PET-CT findings.

Authors

  • Ji Eun Oh
    Innovative Medical Engineering and Technology Branch, Research Institute and Hospital, National Cancer Center, Goyang, Gyeonggi, South Korea.
  • Hyun Sung Chung
    Division of Pulmonology, Center for Lung Cancer, National Cancer Center, Goyang, Korea.
  • Hye Ran Gwon
    Division of Pulmonology, Center for Lung Cancer, National Cancer Center, Goyang, Korea.
  • Eun Young Park
    Lumimac, Inc, B1, 4, Dongnam-ro 2 gil, Songpa-gu, Seoul, Republic of Korea.
  • Hyae Young Kim
    Department of Radiology, National Cancer Center, Goyang, Korea.
  • Geon Kook Lee
    Department of Pathology, National Cancer Center, Goyang, Korea.
  • Tae-Sung Kim
    Department of Nuclear Medicine, National Cancer Center, Goyang, Korea.
  • Bin Hwangbo
    Division of Pulmonology, Center for Lung Cancer, National Cancer Center, Goyang, Korea.

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