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Wall-to-lumen ratio of intracranial arteries measured by indocyanine green angiography.

Authors :
Daichi Nakagawa
Masaaki Shojima
Masanori Yoshino
Taichi Kin
Hideaki Imai
Seiji Nomura
Toki Saito
Hirofumi Nakatomi
Hiroshi Oyama
Nobuhito Saito
Source :
Asian Journal of Neurosurgery. Oct-Dec2016, Vol. 11 Issue 4, p361-364. 4p.
Publication Year :
2016

Abstract

Background: The wall-to-lumen ratio (WLR) is an important parameter in vascular medicine because it indicates the character of vascular wall as well as the degree of stenosis. Despite the advances in medical imaging technologies, it is still difficult to measure the thin-walled normal intracranial arteries, and the reports on the WLR of normal intracranial artery are limited. It might be possible to calculate the WLR using the indocyanine green (ICG) angiography, which is used to observe intracranial vessels during microsurgery. Purpose: To evaluate the WLR of normal intracranial arteries using ICG angiography. Materials and Methods: From the three cases in which ICG angiography was recorded with a ruler during microsurgery, 20 measurement points were chosen for the analysis. The ICG was injected intravenously with a dose of 0.2 mg/kg, and the vessels were inspected at high magnification using an operating microscope equipped with near-infrared illumination system. The vessel outer diameter and the luminal diameter were measured using the images before and after the ICG arrival based on the pixel ratio method using a ruler as reference, respectively. The WLR was calculated as 0.5 × (vessel outer diameter - vessel luminal diameter). Results: The WLR (mean ± standard deviation) of normal intracranial arteries was 0.086 ± 0.022. The WLR tended to be high in small arteries. Conclusion: The WLR of normal intracranial arteries calculated using ICG angiography was consistent with the WLR reported in the previous reports based on human autopsy. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
17935482
Volume :
11
Issue :
4
Database :
Academic Search Index
Journal :
Asian Journal of Neurosurgery
Publication Type :
Academic Journal
Accession number :
116881696
Full Text :
https://doi.org/10.4103/1793-5482.175637