Clinical Application of Artificial Intelligence in Prediction of Intraoperative Cerebrospinal Fluid Leakage in Pituitary Surgery: A Systematic Review and Meta-Analysis.

Journal: World neurosurgery
PMID: 39265946

Abstract

BACKGROUND: Postoperative cerebrospinal fluid (CSF) leakage is the leading adverse event in transsphenoidal surgery. Intraoperative CSF (ioCSF) leakage is one of the most important predictive factors for postoperative CSF leakage. This systematic review and meta-analysis aimed to evaluate the effectiveness of artificial intelligence (AI) models in predicting ioCSF.

Authors

  • Bardia Hajikarimloo
    Skull Base Research Center, Loghman-Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Mohammadamin Sabbagh Alvani
    Student Research Committee Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Amirhossein Koohfar
    Tehran University of Medical Sciences, School of Medicine, Tehran, Iran.
  • Ehsan Goudarzi
    Department of Medicine, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Mandana Dehghan
    Department of Neurosurgery, Shiraz University of Medical Sciences, Shiraz, Iran.
  • Seyed Hesam Hojjat
    Department of Neurosurgery, North Khorasan University of Medical Sciences, Bojnurd, Iran.
  • Rana Hashemi
    Cardiovascular Surgery Research and Development Committee, Iran University of Medical Sciences, Tehran, Iran.
  • Salem M Tos
    Department of Neurological Surgery, University of Virginia, Charlottesville, Virginia, USA.
  • 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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