CBCT radiomics features combine machine learning to diagnose cystic lesions in the jaw.

Journal: Dento maxillo facial radiology
Published Date: Jul 1, 2025

Abstract

OBJECTIVE: The aim of this study was to develop a radiomics model based on cone beam CT (CBCT) to differentiate odontogenic cysts (OCs), odontogenic keratocysts (OKCs), and ameloblastomas (ABs).

Authors

  • Xiaoyan Sha
    Department of Oral and Maxillofacial Radiology, School of Stomatology, Capital Medical University, Beijing 100070, China.
  • Chao Wang
    College of Agriculture, Shanxi Agricultural University, Taigu, Shanxi, China.
  • Jiayu Sun
    Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
  • Senrong Qi
    Department of Oral and Maxillofacial Radiology, Beijing Stomatology Hospital, School of Stomatology, Capital Medical University, Beijing, China.
  • Xiaohong Yuan
    School of Economics and Business Administration, Chongqing University, Chongqing, 400044, China.
  • Hui Zhang
    Department of Pulmonary Vessel and Thrombotic Disease, Sixth Medical Center, Chinese PLA General Hospital, Beijing, China.
  • Jigang Yang
    Department of Nuclear Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.

Keywords

External Resources

Popular Topics
Recent Journals