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N. Miki, T. Kohno, M. Hirabayashi, S. Ataka, H. Osugi, M. Yamamoto, K. Shiraki, R. Nadachi, Y. Okazaki, J. Suehiro; Choroidal Circulation Pattern in ICG Angiography Using Choroid/Disc Software . Invest. Ophthalmol. Vis. Sci. 2005;46(13):270.
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© ARVO (1962-2015); The Authors (2016-present)
Purpose: We have developed software to measure blood flow in the choroid (Ch/d software) using mean fluorescence intensity of the disc as a reference value for fluorescent intensity of the choroid. The present study examined the usefulness of Ch/d software in analyzing choroidal circulation in patients with normal eyes or chorioretinal disease. Methods: The present study investigated 19 eyes of young volunteers, 28 eyes of old volunteers, 23 eyes of patients with idiopathic central serous chorioretinopathy (CSC), and 5 eyes of patients with dry–type age–related macular disease (ARMD). ICG angiography was performed using a Topcon digital fundus camera every 2 s. Sequential angiography (9 images) in the dye–transient phase were displayed on a computer and processed using Ch/d software. In all angiograms, fluorescence density at the disc and diffuse fluorescence in the macula were measured in 256–grade gray scale using a Topcon IMAGEnet computer system. Ratios of mean fluorescence intensity in the macula to that in the disc (choroid/disc ratio, ch/d) were compared among the 4 groups using t–tests. In initial images, perfusion patterns were determined as: ch/d ≤0.9, hypoperfusion; 0.9<ch/d≤1.1, slight hypoperfusion; and ch/d >1.1, normal perfusion. In late images, congestion patterns were determined as: ch/d ≤0.9, no congestion; 0.9<ch/d≤1.1, slight congestion; and ch/d >1.1, congestion. Results: In initial images, hypoperfusion was found in 0 eyes in young volunteers (0%), 5 eyes in old volunteers (31.3%), 1 eye in CSC (4.35%), and 4 eyes in dry–type ARMD (80%).In late images, congestion was present in 5 eyes in young volunteers (29.4%), 7 eyes in old volunteers (43.8%), 18 eyes in CSC (78.3%), and 0 eyes in dry–type ARMD (0%).In initial images, ch/d was significantly lower for dry–type ARMD than for any other group (p<0.01). In late images, ch/d was significantly higher for CSC than for any other group (p<0.01). Conclusions: Choroidal venous congestion patterns were apparent in some young and old volunteers, but were particularly evident in CSC. Hypoperfusion patterns were noted in some old volunteers, but were most evident in dry–type ARMD. Ch/d software allowed categorization of choroidal circulation pattern to normal circulation pattern, venous congestion pattern and hypoperfusion patterns from ICG angiography.
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