Machine learning-based models and radiomics: can they be reliable predictors for meningioma recurrence? A systematic review and meta-analysis.

Journal: Neurosurgical review
Published Date: Aug 27, 2025

Abstract

BACKGROUND: Predicting recurrence in meningioma patients is vital for improving long-term outcomes and tailoring personalized treatment strategies. While traditional diagnostic methods have advanced, accurately forecasting recurrence remains a persistent and critical challenge. This study explores the cutting-edge application of artificial intelligence (AI)-based models, which seamlessly integrate clinical, radiological, and pathological data, offering a transformative approach to enhancing the reliability and precision of recurrence prediction.

Authors

  • Behnaz Niroomand
    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.
  • Bardia Hajikarimloo
    Skull Base Research Center, Loghman-Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Mohammad Amin Habibi
    Department of Neurosurgery, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran.
  • Shahin Mohammadzadeh
    Skull Base Research Center, Loghman-Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Amir Mohammad Bahri
    Student Research Committee, School of Medicine, Iran University of Medical Science, Tehran, Iran.
  • Mohammad Hassan Bagheri
    School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
  • Abdulrahman Albakr
    Department of Neurological Surgery, Pauline Braathen Neurological Center, Cleveland Clinic Florida, Weston, FL, USA. Electronic address: Dr.aalbakr@gmail.com.
  • Brij S Karmur
    2Department of Clinical Neurosciences, Division of Neurosurgery, University of Calgary, Alberta, Canada.
  • Hamid Borghei-Razavi
    Department of Neurological Surgery, Pauline Braathen Neurological Center, Cleveland Clinic Florida, Weston, FL, USA. Electronic address: borgheh2@ccf.org.

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