Preoperative Differentiation of Spinal Schwannoma and Meningioma Using Machine Learning-Based Models: A Systematic Review and Meta-Analysis.

Journal: World neurosurgery
Published Date:

Abstract

BACKGROUND: Regarding the differences in surgical approaches for spinal schwannomas and meningiomas, preoperative differentiation of spinal schwannomas and meningiomas can be important in managing these lesions. This study evaluated the diagnostic performance of machine learning (ML)-based models in the differentiation of spinal schwannomas and meningiomas.

Authors

  • Bardia Hajikarimloo
    Skull Base Research Center, Loghman-Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Ibrahim Mohammadzadeh
    Skull Base Research Center, Loghman-Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran. Electronic address: Ibrahim.mdz7777@gmail.com.
  • Rana Hashemi
    Cardiovascular Surgery Research and Development Committee, Iran University of Medical Sciences, Tehran, Iran.
  • Mohsen Sheikhzadeh
    Department of Neurosurgery, Shohada Tajrish Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Dorsa Najari
    Department of Neurosurgery, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran.
  • Ehsan Bahrami Hezaveh
    Department of Neurosurgery, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran.
  • Fatemeh Ghorbanpouryami
    Department of Neurosurgery, Shohada Tajrish Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Mohammad Amin Habibi
    Department of Neurosurgery, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran.

Keywords

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