A deep-learning-based approach for adenoid hypertrophy diagnosis.

Journal: Medical physics
PMID: 32017124

Abstract

PURPOSE: Adenoid hypertrophy is a pathological hyperplasia of adenoids and may cause snoring, apnea, and impede breathing during sleep. In clinical practice, radiologists diagnose the severity of adenoid hypertrophy by measuring the ratio of adenoid width (A) to nasopharyngeal width (N) according to the lateral cephalogram, which indicates the locations of four keypoints. The entire diagnostic process is tedious and time-consuming due to the acquisition of A and N. Thus, there is an urgent need to develop computer-aided diagnostic tools for adenoid hypertrophy.

Authors

  • Yi Shen
    Department of Oral Maxillofacial-Head Neck Oncology, Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, National Clinical Research Center for Oral Diseases, Shanghai Key Laboratory of Stomatology & Shanghai Research Institute of Stomatology, Shanghai, China. Electronic address: shenyi_777@126.com.
  • Xiaohu Li
    Department of Radiology, The First Affiliated Hospital of Anhui Medical University, 230022, Hefei, Anhui, China.
  • Xiao Liang
    Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University, Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, Beijing Laboratory for Food Quality and Safety, Beijing, 100193, People's Republic of China; College of Veterinary Medicine, Qingdao Agricultural University, Qingdao, 266109, People's Republic of China.
  • Hai Xu
    Center for Biomedical Imaging, University of Science and Technology of China, 230026, Hefei, Anhui, China.
  • Chuanfu Li
    Medical Imaging Center, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei 230031, China.
  • Yongqiang Yu
    College of Electronic Engineering, National University of Defense Technology, Hefei 230037, China.
  • Bensheng Qiu
    Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, Anhui 230027, China.

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