A Predictive Model for Intraoperative Cerebrospinal Fluid Leak During Endonasal Pituitary Adenoma Resection Using a Convolutional Neural Network.

Journal: World neurosurgery
PMID: 38876190

Abstract

BACKGROUND: Cerebrospinal fluid (CSF) leak during endoscopic endonasal transsphenoidal surgery can lead to postoperative complications. The clinical and anatomic risk factors of intraoperative CSF leak are not well defined. We applied a two-dimensional (2D) convolutional neural network (CNN) machine learning model to identify risk factors from preoperative magnetic resonance imaging.

Authors

  • Faraz Behzadi
    Department of Neurological Surgery, Loyola University Medical Center, Maywood, Illinois, USA.
  • Mohammad Alhusseini
    Departments of Radiology and Medical Imaging, Loyola University Medical Center, Maywood, Illinois, USA.
  • Seunghyuk D Yang
    Department of Neurological Surgery, Loyola University Medical Center, Maywood, Illinois, USA.
  • Atul K Mallik
    Departments of Radiology and Medical Imaging, Loyola University Medical Center, Maywood, Illinois, USA.
  • Anand V Germanwala
    Department of Neurological Surgery, Loyola University Medical Center, Maywood, Illinois, USA; Stritch School of Medicine, Loyola University Chicago, Maywood, Illinois, USA. Electronic address: agermanwala@gmail.com.

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