A machine learning-based 18F-FDG PET/CT multi-modality fusion radiomics model to predict Mediastinal-Hilar lymph node metastasis in NSCLC: a multi-centre study.

Journal: Clinical radiology
PMID:

Abstract

AIM: To develop and validate a machine learning (ML) model based on positron emission tomography/computed tomography (PET/CT) multi-modality fusion radiomics to improve the prediction efficiency of mediastinal-hilar lymph node metastasis (LNM).

Authors

  • W Zhai
    Department of Radiology, Second Affiliated Hospital of Naval Medical University, Shanghai, China; College of Health Sciences and Engineering, University of Shanghai for Science and Technology, Shanghai, China; Department of Nuclear Medicine, Huadong Hospital Affiliated to Fudan University, Shanghai, China.
  • X Li
    1 School of Public Health, Capital Medical University, Beijing, China.
  • T Zhou
    Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Cancer Epidemiology, Peking University Cancer Hospital & Institute, Beijing 100142, China.
  • Q Zhou
    Department of Pediatric Dentistry, Peking University School and Hospital of Stomatology & National Center of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Laboratory for Digital and Material Technology of Stomatology & Beijing Key Laboratory of Digital Stomatology, Beijing 100081, China.
  • X Lin
    Guangdong Shunde Innovative Design Institute, Foshan 528300, China.
  • X Jiang
    School of Computer and Control Engineering, Yantai University, Yantai 264005, China.
  • Z Zhang
    Department of Orthopedics, Taizhou People's Hospital, Nanjing Medical University, Taizhou, People's Republic of China; Taizhou Clinical Medical School of Nanjing Medical University, Taizhou, People's Republic of China.
  • Q Jin
    Department of Radiology, Second Affiliated Hospital of Naval Medical University, Shanghai, China.
  • S Liu
    Center of Clinical Evaluation, the First Affiliated Hospital of Zhejiang Chinese Medical University, Zhejiang Provincial Hospital of Chinese Medicine, Hangzhou 310006, China.
  • L Fan
    Department of Radiology, Second Affiliated Hospital of Naval Medical University, Shanghai, China. Electronic address: fanli0930@163.com.