Multicenter investigation of preoperative distinction between primary central nervous system lymphomas and glioblastomas through interpretable artificial intelligence models.

Journal: Neuroradiology
PMID: 39225815

Abstract

OBJECTIVE: Research into the effectiveness and applicability of deep learning, radiomics, and their integrated models based on Magnetic Resonance Imaging (MRI) for preoperative differentiation between Primary Central Nervous System Lymphoma (PCNSL) and Glioblastoma (GBM), along with an exploration of the interpretability of these models.

Authors

  • Yun-Feng Yang
    Laboratory for Medical Imaging Informatics, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai, 200083, China.
  • Endong Zhao
    Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, 116000, Liaoning, China.
  • Yutong Shi
    Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China.
  • Hao Zhang
    College of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou, 450002, China.
  • Yuan-Yuan Yang
    Department of Electrocardiography, Anhui Maternal and Child Health Hospital, Hefei, China. Electronic address: ahmuyyy@163.com.

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