Image-based detection of the internal carotid arteries and sella turcica in endoscopic endonasal transsphenoidal surgery.
Journal:
Neurosurgical focus
Published Date:
Jul 1, 2025
Abstract
OBJECTIVE: Endoscopic endonasal transsphenoidal surgery (EETS) is a minimally invasive procedure that accesses the sellar and parasellar regions. Various anatomical structures must be identified during the operation, particularly the sella turcica and internal carotid artery (ICA) bilaterally. In the present retrospective cohort study, authors aimed to evaluate the performance of a deep learning (DL) model in detecting the sella turcica and ICA bilaterally in EETS video footage, with the goal of recognizing crucial landmarks and preventing potentially fatal injury.
