Deep learning using nasal endoscopy and T2-weighted MRI for prediction of sinonasal inverted papilloma-associated squamous cell carcinoma: an exploratory study.

Journal: European radiology experimental
Published Date: Jul 21, 2025

Abstract

BACKGROUND: Detecting malignant transformation of sinonasal inverted papilloma (SIP) into squamous cell carcinoma (SIP-SCC) before surgery is a clinical need. We aimed to explore the value of deep learning (DL) that leverages nasal endoscopy and T2-weighted magnetic resonance imaging (T2W-MRI) for automated tumor segmentation and differentiation between SIP and SIP-SCC.

Authors

  • Jiliang Ren
    Department of Radiology, Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
  • Zhe Ren
    BGI-Shenzhen , Beishan Industrial Zone 11th Building, Yantian District, Shenzhen , Guangdong 518083 , China.
  • Duo Zhang
    Research Center for Healthcare Data Science, Zhejiang Lab, Hangzhou, China.
  • Ying Yuan
    Department of Radiology, Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China. Electronic address: yuany83@163.com.
  • Meng Qi
    Key Laboratory of Pesticide and Chemical Biology of Ministry of Education, College of Chemistry, Central China Normal University, Wuhan 430079, PR China.

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