Machine Learning Model Based on Radiomics for Preoperative Differentiation of Jaw Cystic Lesions.

Journal: Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery
Published Date: Apr 1, 2024

Abstract

OBJECTIVE: This study aims to use machine learning techniques together with radiomics methods to build a preoperative predictive diagnostic model from spiral computed tomography (CT) images. The model is intended for the differential diagnosis of common jaw cystic lesions.

Authors

  • Songling Fang
    Department of Oral and Maxillofacial Surgery, Sun Yat-sen Memorial Hospital, Guangdong, Guangzhou, China.
  • Yuepeng Wang
    Department of Oral and Maxillofacial Surgery, Sun Yat-sen Memorial Hospital, Guangzhou, China.
  • Yilin He
    Department of Oral and Maxillofacial Surgery, Sun Yat-sen Memorial Hospital, Guangdong, Guangzhou, China.
  • Taihui Yu
    Department of Radiology, Sun Yat-sen Memorial Hospital, Guangdong, Guangzhou, China.
  • Yutong Xie
  • Yongkang Cai
    Department of Oral and Maxillofacial Surgery, Sun Yat-sen Memorial Hospital, Guangzhou, China.
  • Wenhao Li
    Flight Control Research Institute, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, China.
  • Yan Wang
    College of Animal Science and Technology, Beijing University of Agriculture, Beijing, China.
  • Zhiquan Huang
    Department of Oral and Maxillofacial Surgery, Sun Yat-sen Memorial Hospital, Guangzhou, China.

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