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      Optical Coherence Tomography Angiography Compared With Optical Coherence Tomography Macular Measurements for Detection of Glaucoma

      Author(s): 1 , 2 , 1 , 1
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      Journal: JAMA Ophthalmology
      Publisher: American Medical Association (AMA)

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          Abstract

          Whether optical coherence tomography angiography (OCT-A) outperforms OCT to detect glaucoma remains inconclusive.

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          Optical coherence tomography angiography of optic disc perfusion in glaucoma.

          Yali Jia, Eric Wei, Xiaogang Wang … (2014)
          To compare optic disc perfusion between normal subjects and subjects with glaucoma using optical coherence tomography (OCT) angiography and to detect optic disc perfusion changes in glaucoma.
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            Optical Coherence Tomography Angiography of the Peripapillary Retina in Glaucoma.

            Liang Liu, Yali Jia, Hana Takusagawa … (2015)
            Vascular factors may have important roles in the pathophysiology of glaucoma. A practical method for the clinical evaluation of ocular perfusion is needed to improve glaucoma management.
            Article 0 comments Cited 212 times – based on 0 reviews     Review now
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              Optical Coherence Tomography Angiography Vessel Density in Healthy, Glaucoma Suspect, and Glaucoma Eyes

              Adeleh Yarmohammadi, Linda M. Zangwill, Alberto Diniz Filho … (2016)
              Purpose The purpose of this study was to compare retinal nerve fiber layer (RNFL) thickness and optical coherence tomography angiography (OCT-A) retinal vasculature measurements in healthy, glaucoma suspect, and glaucoma patients. Methods Two hundred sixty-one eyes of 164 healthy, glaucoma suspect, and open-angle glaucoma (OAG) participants from the Diagnostic Innovations in Glaucoma Study with good quality OCT-A images were included. Retinal vasculature information was summarized as a vessel density map and as vessel density (%), which is the proportion of flowing vessel area over the total area evaluated. Two vessel density measurements extracted from the RNFL were analyzed: (1) circumpapillary vessel density (cpVD) measured in a 750-μm-wide elliptical annulus around the disc and (2) whole image vessel density (wiVD) measured over the entire image. Areas under the receiver operating characteristic curves (AUROC) were used to evaluate diagnostic accuracy. Results Age-adjusted mean vessel density was significantly lower in OAG eyes compared with glaucoma suspects and healthy eyes. (cpVD: 55.1 ± 7%, 60.3 ± 5%, and 64.2 ± 3%, respectively; P < 0.001; and wiVD: 46.2 ± 6%, 51.3 ± 5%, and 56.6 ± 3%, respectively; P < 0.001). For differentiating between glaucoma and healthy eyes, the age-adjusted AUROC was highest for wiVD (0.94), followed by RNFL thickness (0.92) and cpVD (0.83). The AUROCs for differentiating between healthy and glaucoma suspect eyes were highest for wiVD (0.70), followed by cpVD (0.65) and RNFL thickness (0.65). Conclusions Optical coherence tomography angiography vessel density had similar diagnostic accuracy to RNFL thickness measurements for differentiating between healthy and glaucoma eyes. These results suggest that OCT-A measurements reflect damage to tissues relevant to the pathophysiology of OAG.
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                Author and article information

                Journal
                Title: JAMA Ophthalmology
                Abbreviated Title: JAMA Ophthalmol
                Publisher: American Medical Association (AMA)
                ISSN (Print): 2168-6165
                Publication date Created: August 01 2018
                Publication date (Print): August 01 2018
                Volume: 136
                Issue: 8
                Page: 866
                Affiliations
                [1 ]Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong, People’s Republic of China
                [2 ]Department of Ophthalmology, Tuen Mun Eye Center and Tuen Mun Hospital, Hong Kong, People’s Republic of China
                Article
                DOI: 10.1001/jamaophthalmol.2018.1627
                PMC ID: 6142951
                PubMed ID: 29852029
                SO-VID: a8cc1745-fb15-4368-acf6-d81a7e519ce6
                Copyright © © 2018
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