Preoperative prediction of malignant transformation in sinonasal inverted papilloma: a novel MRI-based deep learning approach.

Journal: European radiology
Published Date:

Abstract

OBJECTIVE: To develop a novel MRI-based deep learning (DL) diagnostic model, utilizing multicenter large-sample data, for the preoperative differentiation of sinonasal inverted papilloma (SIP) from SIP-transformed squamous cell carcinoma (SIP-SCC).

Authors

  • Cong Ding
    Department of Radiology, The Affiliated Huaian No. 1 People's Hospital of Nanjing Medical University, Huaian, Jiangsu, China.
  • Baohong Wen
    Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, No.1 Jianshe Dong Road, ErQi District, Zhengzhou, Henan, China.
  • Qinghe Han
    Radiology Department, The Second Hospital of Jilin University, Changchun.
  • Na Hu
    Department of Radiology, West China Hospital, Sichuan University, No. 37 Guoxue Xiang, Chengdu, 610041, China.
  • Yue Kang
    Linkdoc AI Research (LAIR), Building A, Sinosteel International Plaza, No.8 Haidian Street, Haidian District, Beijing, China.
  • Yuchen Wang
    College of Management, University of Massachusetts Boston, Boston, MA, USA.
  • Chengshuo Wang
    Department of Otolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, China. wangcs830@126.com.
  • Luo Zhang
    Department of Otolaryngology, Head and Neck Surgery, Beijing TongRen Hospital and Beijing Institute of Otolaryngology, Beijing, China.
  • Junfang Xian
    Department of Radiology, Beijing Tongren Hospital, Capital Medical University, No. 1 Dongjiaominxiang Street, Dongcheng District, Beijing, 100730, China; Clinical Center for Eye Tumors, Capital Medical University, Beijing, 100730, China. Electronic address: cjr.xianjunfang@vip.163.com.

Keywords

No keywords available for this article.