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J Cerebrovasc Endovasc Neurosurg. 2013 Jun;15(2):76-84. English. Original Article. https://doi.org/10.7461/jcen.2013.15.2.76
Son YJ , Kim JE , Park SB , Lee SH , Chung YS , Yang HJ .
Department of Neurosurgery, Seoul National University Boramae Hospital, Republic of Korea. nsyang@brm.co.kr
Department of Neurosurgery, Seoul National University College of Medicine, Seoul, Republic of Korea.
Abstract

OBJECTIVE: Indocyanine green (ICG) videoangiography (VA) is being used in assessment of blood flow during cerebrovascular surgery. However, data collected during ICG angiography are usually interpreted qualitatively. In this study, quantitative analysis of ICG angiogram was attempted. MATERIALS AND METHODS: ICG VA, performed during aneurysm surgery was analyzed retrospectively. The angiogram was captured serially in regular time interval. The stacked images were then fed into an image analysis program, ImageJ. The selected areas of interest were as follows: parent and branch vessels, and dome of aneurysm. Changes of signals of measurement points were plotted. The time to peak, washout time, and the peak intensity between areas were compared. RESULTS: Among the 16 cases enrolled in this study, five cases were anterior communicating artery aneurysms, and 11 cases were middle cerebral artery bifurcation aneurysms. There was no signal intensity of aneurysm dome in our series. No difference in time to peak or maximum signal intensity was observed between vessels in each case. The average time to peak was 9.0 and washout time was 31.3 seconds. No significant difference in time profile was observed between anterior communicating artery aneurysms and middle cerebral artery bifurcation aneurysms. CONCLUSION: Findings of this study demonstrate that quantitative analysis is possible using a personal computer and common video capture and analysis software. It can be a good adjunctive to evaluation of vascular status during aneurysm surgery. It displays time profiles of multiple points of interest over time, and is helpful in objective evaluation of changes of blood flow over time. It might be helpful in various fields of cerebrovascular surgery.

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