A deep learning radiomics model may help to improve the prediction performance of preoperative grading in meningioma.

Journal: Neuroradiology
Published Date: Jul 1, 2022

Abstract

PURPOSE: This study aimed to investigate the clinical usefulness of the enhanced-T1WI-based deep learning radiomics model (DLRM) in differentiating low- and high-grade meningiomas.

Authors

  • Liping Yang
    Department of Emergency, The First People's Hospital of Lianyungang, Lianyungang City, 222002, China.
  • Panpan Xu
  • Ying Zhang
    Department of Nephrology, Nanchong Central Hospital Affiliated to North Sichuan Medical College, Nanchong, China.
  • Nan Cui
    PET-CT/MR Department, Harbin Medical University Cancer Hospital, Harbin, China.
  • Menglu Wang
    PET-CT/MR Department, Harbin Medical University Cancer Hospital, Harbin, China.
  • Mengye Peng
    PET-CT/MR Department, Harbin Medical University Cancer Hospital, Harbin, China.
  • Chao Gao
    College of Marine and Environmental Sciences, Tianjin University of Science and Technology, Tianjin 300457, China.
  • Tianzuo Wang
    Medical Imaging Department, The Second Affiliated Hospital of Harbin Medical University, Harbin, China. agntwz@126.com.

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