Prediction of recurrence after surgery for pituitary adenoma using machine learning- based models: systematic review and meta-analysis.

Journal: BMC endocrine disorders
Published Date: Jul 1, 2025

Abstract

BACKGROUND: Predicting pituitary adenoma (PA) recurrence after surgical resection is critical for guiding clinical decision-making, and machine learning (ML) based models show great promise in improving the accuracy of these predictions. These models can provide valuable insights to surgeons and oncologists, helping them tailor personalized treatment plans, enhance patient prognostication, and optimize follow-up strategies.

Authors

  • 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.
  • Behnaz Niroomand
    Skull Base Research Center, Loghman-Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Nasira Faizi
    School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Pooya Eini
    Toxicological Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Mohammad Amin Habibi
    Department of Neurosurgery, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran.
  • Alireza Mohseni
    Johns Hopkins University School of Medicine, 600 N. Wolfe Street / Phipps 446, Baltimore, MD 21287, USA. Electronic address: amohsen4@jhmi.edu.
  • Mohammadmahdi Sabahi
    Department of Neurological Surgery, Pauline Braathen Neurological Center, Cleveland Clinic Florida, Weston, FL, USA.
  • Abdulrahman Albakr
    Department of Neurological Surgery, Pauline Braathen Neurological Center, Cleveland Clinic Florida, Weston, FL, USA. Electronic address: Dr.aalbakr@gmail.com.
  • Michael Karsy
    Department of Neurosurgery, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania, United Sates.
  • 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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