Deep learning models for differentiating three sinonasal malignancies using multi-sequence MRI.

Journal: BMC medical imaging
PMID: 39984860

Abstract

PURPOSE: To develop MRI-based deep learning (DL) models for distinguishing sinonasal squamous cell carcinoma (SCC), adenoid cystic carcinoma (ACC) and olfactory neuroblastoma (ONB) and to evaluate whether the DL models could improve the diagnostic performance of Senior radiologist (SR) and Junior radiologist (JR).

Authors

  • Luxi Wang
    Shanghai Institute of Medical Imaging, Fudan University, Shanghai, China.
  • Naier Lin
    Department of Radiology, Eye & ENT Hospital, Fudan University, Shanghai, China.
  • Wei Chen
    Department of Urology, Zigong Fourth People's Hospital, Sichuan, China.
  • Hanyu Xiao
    Department of Genetics, Cell Biology and Anatomy, College of Medicine, University of Nebraska Medical Center, Omaha, NE 68198, USA.
  • Yiyin Zhang
    Department of Radiology, Eye & ENT Hospital, Fudan University, Shanghai, China.
  • Yan Sha
    Shenzhen Prevention and Treatment Center for Occupational Diseases, Shenzhen, Guangdong, China.

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