Automated Prediction of Early Recurrence in Advanced Sinonasal Squamous Cell Carcinoma With Deep Learning and Multi-parametric MRI-based Radiomics Nomogram.

Journal: Academic radiology
Published Date: Mar 14, 2023

Abstract

RATIONALE AND OBJECTIVES: Preoperative prediction of the recurrence risk in patients with advanced sinonasal squamous cell carcinoma (SNSCC) is critical for individualized treatment. To evaluate the predictive ability of radiomics signature (RS) based on deep learning and multiparametric MRI for the risk of 2-year recurrence in advanced SNSCC.

Authors

  • Mengyan Lin
    Shanghai Institute of Medical Imaging, Shanghai, China.
  • Naier Lin
    Department of Radiology, Eye & ENT Hospital, Fudan University, Shanghai, China.
  • Sihui Yu
    Department of Radiology, Eye & ENT Hospital, Fudan University, Shanghai, China.
  • Yan Sha
    Shenzhen Prevention and Treatment Center for Occupational Diseases, Shenzhen, Guangdong, China.
  • Yan Zeng
    Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Aie Liu
    Shanghai United Imaging Intelligence Co., Ltd., Shanghai, China (mainland).
  • Yue Niu
    College of Engineering, Nanjing Agricultural University, Nanjing 210032, China.

Keywords

External Resources

Popular Topics
Recent Journals