Abstract Details

Title Assessing the Precision of Automated Detection and Diameter Estimation of Cerebral Arteries in the Circle of Willis

Topic Cerebrovascular Disease and Interventional Neurology

Presentation(s) P9 - Poster Session 9 (11:45 AM-12:45 PM)

Poster/Presentation
Number 13-007

Objective To compare artery diameter estimations from Express IntraCranial Arteries Breakdown (eICAB) against manual measurements to minimize human error and variability, thereby providing a consistent and reliable tool for clinical and research applications.

Background The brain relies on arterial blood from four major extracranial arteries via the Circle of Willis (CW), which can be visualized through Magnetic Resonance Angiography (MRA). Accurate artery identification within the CW is vital for detecting anatomical variations, stenosis, aneurysms, and other pathologies that can significantly impact cerebral circulation. To alleviate time-consuming manual CW assessment, this study evaluates eICAB, a recently developed open-source software method for automatically detecting and quantify CW in non-contrast enhanced MRA.

Design/Methods 631 MRA images of stroke and intracranial stenosis-free individuals from The Northern Manhattan Study (NOMAS) study were analyzed. eICAB-derived estimates of luminal diameter in the Internal Carotid Artery (ICA), Basilar Artery (BA), Anterior Cerebral Arteries (ACA), Middle Cerebral Arteries (MCA), and Posterior Cerebral Arteries (PCA) were compared to manual measurements made by author JG. T-tests were performed to determine CW arteries with diameter discrepancies within 0.5 and 1mm.

Results Across arteries, eICAB diameter estimates of the MCA, ACA and PCA were consistently within 0.5mm of manual measurements (p<0.01, Bonferroni corrected). BA and ICA errors were slightly higher, but remained within 1mm (p<0.01, Bonferroni corrected).

Conclusions Our open-source, fully automated method for analyzing the CW from MRA imaging yields highly accurate diameter estimates of the major cerebral arteries. This may increase researchers and clinicians’ capacity to reliably analyze and detect cerebrovascular anomalies (e.g. luminal narrowing, dilation) in large databases.

Authors/Disclosures
Julia Huck, PhD PRESENTER	Ms. Huck has received research support from Fonds de. recherche du Québec – Nature et technologie (FRQNT).
Davy C. Vanderweyen, MD	Dr. Vanderweyen has stock in Crinetics pharmaceuticals.
Tatjana Rundek, MD, PhD	The institution of Dr. Rundek has received research support from NIH.
Mitchell S. Elkind, MD, MS, FAAN	Dr. Elkind has received personal compensation for serving as an employee of American Heart Association. Dr. Elkind has received personal compensation in the range of $10,000-$49,999 for serving as a Consultant for Atria Academy.
Jose Gutierrez, MD (Columbia University)	Dr. Gutierrez has received personal compensation in the range of $500-$4,999 for serving on a Scientific Advisory or Data Safety Monitoring board for Cardiovascular Research Foundation. Dr. Gutierrez has received personal compensation in the range of $500-$4,999 for serving as an Expert Witness for White and Rusell. Dr. Gutierrez has received research support from NIH. Dr. Gutierrez has received publishing royalties from a publication relating to health care. Dr. Gutierrez has received publishing royalties from a publication relating to health care.
Maxime Descoteaux, PhD	Dr. Descoteaux has received personal compensation in the range of $10,000-$49,999 for serving on a Scientific Advisory or Data Safety Monitoring board for Imeka Solutions Inc. Dr. Descoteaux has stock in Imeka Solutions Inc.
Kevin Whittingstall, PhD	Prof. Whittingstall has nothing to disclose.

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