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Comparison Between Ultra-high-resolution Computed Tomographic Angiography and Conventional Computed Tomographic Angiography in the Visualization of the Subcallosal Artery

Overview
Journal Surg Neurol Int
Specialty Neurology
Date 2021 Nov 10
PMID 34754578
Citations 1
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Abstract

Background: The subcallosal artery (ScA) is a single dominant artery arising from the anterior communicating artery. Its injury causes amnesia and cognitive disturbance. The conventional computed tomographic angiography (C-CTA) is a common evaluation method of the intracranial artery. However, to image tinny perforating arteries such as the ScA is technically demanding for C-CTA. The purpose of this study is to investigate whether the ultra-high-resolution CTA (UHR-CTA) could image the ScA better than C-CTA. UHR-CTA became available in clinical practice in 2017. Its novel features are the improvement of the detector system and a small X-ray focus.

Methods: Between April 2019 and May 2020, 77 and 49 patients who underwent intracranial UHR-CTA and C-CTA, respectively, were enrolled in this study. Two board-certified neurosurgeons participated as observers to identify the ScA based on UHR-CTA and C-CTA images.

Results: UHR-CTA and C-CTA detected the ScA in 56-58% and 30-40% of the patients, respectively. In visualization of the ScA, UHR-CTA was better than C-CTA ( < 0.05, Fisher's exact test). Between the two observers, the Cohen's kappa coefficient was 0.77 for UHR-CTA and 0.78 for C-CTA.

Conclusions: UHR-CTA is a simple and accessible method to evaluate intracranial vasculature. Visualization of the ScA with UHR-CTA was better than that with C-CTA. The high quality of UHR-CTA could provide useful information in the neurosurgery field.

Citing Articles

Efficacy of ultra-high-resolution computed tomographic angiography for postoperative evaluation of intracranial aneurysm after clipping surgery: A case report.

Kayano S, Ito A, Endo T, Nemoto H, Shimada K, Niizuma K Surg Neurol Int. 2022; 13:85.

PMID: 35399901 PMC: 8986654. DOI: 10.25259/SNI_1190_2021.

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