Deep learning for differential diagnosis of parotid tumors based on 2.5D magnetic resonance imaging.

Journal: Annals of medicine
Published Date: Jun 18, 2025

Abstract

PURPOSE: Accurate preoperative diagnosis of parotid gland tumors (PGTs) is crucial for surgical planning since malignant tumors require more extensive excision. Though fine-needle aspiration biopsy is the diagnostic gold standard, its sensitivity in detecting malignancies is limited. While Deep learning (DL) models based on magnetic resonance imaging (MRI) are common in medicine, they are less studied for parotid gland tumors. This study used a 2.5D imaging approach (Incorporating Inter-Slice Information) to train a DL model to differentiate between benign and malignant PGTs.

Authors

  • Wenfeng Mai
    Medical Imaging Center, The First Affiliated Hospital of Jinan University, Guangzhou, China.
  • Xiaole Fan
    Department of Ultrasound, The First Affiliated Hospital of Jinan University, Guangzhou, China.
  • Lingtao Zhang
    Medical Imaging Center, The First Affiliated Hospital of Jinan University, Guangzhou, China.
  • Jian Li
    Fujian Key Laboratory of Traditional Chinese Veterinary Medicine and Animal Health, College of Animal Science, Fujian Agriculture and Forestry University, Fuzhou, China.
  • Liting Chen
    College of Life Sciences, Nanjing Agricultural University, Nanjing, China.
  • Xiaoyu Hua
    Medical Imaging Center, The First Affiliated Hospital of Jinan University, Guangzhou, China.
  • Dong Zhang
    Institute of Acoustics, Nanjing University, Nanjing 210093, China.
  • Hengguo Li
    Medical Imaging Center, The First Affiliated Hospital of Jinan University, Guangzhou, China.
  • Minxiang Cai
    Clinical Research Platform for Interdiscipline of Stomatology, School of Stomatology, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China.
  • Changzheng Shi
    Medical Imaging Center, The First Affiliated Hospital of Jinan University, No 613 Huangpu Dadao West, Guangzhou, 510630, China. tsczcn@jnu.edu.cn.
  • Xiangning Liu
    Clinical Research Platform for Interdiscipline of Stomatology, School of Stomatology, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China.

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