Dual-Region Computed Tomography Radiomics-Based Machine Learning Predicts Subcarinal Lymph Node Metastasis in Patients with Non-small Cell Lung Cancer.

Journal: Annals of surgical oncology
PMID:

Abstract

BACKGROUND: Noninvasively and accurately predicting subcarinal lymph node metastasis (SLNM) for patients with non-small cell lung cancer (NSCLC) remains challenging. This study was designed to develop and validate a tumor and subcarinal lymph nodes (tumor-SLNs) dual-region computed tomography (CT) radiomics model for predicting SLNM in NSCLC.

Authors

  • Hao-Ji Yan
    Department of General Thoracic Surgery, Juntendo University School of Medicine, Tokyo, Japan.
  • Jia-Sheng Zhao
    College of Clinical Medicine, North Sichuan Medical College, Nanchong, China.
  • Hou-Dong Zuo
    Medical Imaging Key Laboratory of Sichuan Province, Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China.
  • Jun-Jie Zhang
    College of Medical Imaging, North Sichuan Medical College, Nanchong, China.
  • Zhi-Qiang Deng
    College of Medical Imaging, North Sichuan Medical College, Nanchong, China.
  • Chen Yang
    Department of Diagnostic Ultrasound Imaging & Interventional Therapy, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China.
  • Xi Luo
    Department of Stomatology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
  • Jia-Xin Wan
    College of Clinical Medicine, North Sichuan Medical College, Nanchong, China.
  • Xiang-Yun Zheng
    Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, China.
  • Wei-Yang Chen
    Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, China.
  • Su-Ping Li
    Department of Nuclear Medicine, Affiliated Hospital of North Sichuan Medical College, North Sichuan Medical College, Nanchong, China. suping7273@163.com.
  • Dong Tian
    Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, China.