Glioma Tumor Grading Using Radiomics on Conventional MRI: A Comparative Study of WHO 2021 and WHO 2016 Classification of Central Nervous Tumors.

Journal: Journal of magnetic resonance imaging : JMRI
Published Date: Nov 29, 2023

Abstract

BACKGROUND: Glioma grading transformed in World Health Organization (WHO) 2021 CNS tumor classification, integrating molecular markers. However, the impact of this change on radiomics-based machine learning (ML) classifiers remains unexplored.

Authors

  • Farzan Moodi
    Eye Research Center, The Five Senses Institute, Rassoul Akram Hospital, Iran University of Medical Sciences, Sattarkhan-Niaiesh St., Tehran, 11335, Iran.
  • Fereshteh Khodadadi Shoushtari
    Quantitative MR Imaging and Spectroscopy Group (QMISG), Tehran University of Medical Sciences, Tehran, Iran.
  • Delaram J Ghadimi
    Quantitative MR Imaging and Spectroscopy Group (QMISG), Tehran University of Medical Sciences, Tehran, Iran.
  • Gelareh Valizadeh
    Quantitative MR Imaging and Spectroscopy Group (QMISG), Tehran University of Medical Sciences, Tehran, Iran.
  • Ehsan Khormali
    Student Research Committee, School of Medicine, Mazandaran University of Medical Sciences, Sari, Iran.
  • Hanieh Mobarak Salari
    Quantitative MR Imaging and Spectroscopy Group (QMISG), Tehran University of Medical Sciences, Tehran, Iran.
  • Mohammad Amin Dabbagh Ohadi
    Interdisciplinary Neuroscience Research Program, Tehran University of Medical Sciences, Tehran, Iran.
  • Yalda Nilipour
    Pediatric Pathology Research Center, Research Institute of Children's Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Amin Jahanbakhshi
    Stem Cell and Regenerative Medicine Research Center, Iran University of Medical Sciences, Tehran, Iran.
  • Hamidreza Saligheh Rad
    Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Science, Suzhou, Jiangsu, China.

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