Application of Artificial Intelligence in Prediction of Ki-67 Index in Meningiomas: A Systematic Review and Meta-Analysis.

Journal: World neurosurgery
PMID: 39481846

Abstract

BACKGROUND: The Ki-67 index is a histopathological marker that has been reported to be a crucial factor in the biological behavior and prognosis of meningiomas. Several studies have developed artificial intelligence (AI) models to predict the Ki-67 based on radiomics. In this study, we aimed to perform a systematic review and meta-analysis of AI models that predicted the Ki-67 index in meningioma.

Authors

  • Bardia Hajikarimloo
    Skull Base Research Center, Loghman-Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Salem M Tos
    Department of Neurological Surgery, University of Virginia, Charlottesville, Virginia, USA.
  • Mohammadamin Sabbagh Alvani
    Student Research Committee Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Mohammad Ali Rafiei
    Student Research Committee Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Diba Akbarzadeh
    Student Research Committee Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Mohammad ShahirEftekhar
    Department of Surgery, School of Medicine, Shahid Beheshti Hospital, Qom University of Medical Sciences, Qom, Iran.
  • Mohammadhosein Akhlaghpasand
    Cardiovascular Surgery Research and Development Committee, Iran University of Medical Sciences (IUMS), Tehran, 14665-354, Iran. Akhlaghpasandm@yahoo.com.
  • Mohammad Amin Habibi
    Department of Neurosurgery, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran.

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