Automated quantification of superficial retinal capillaries and large vessels for diabetic retinopathy on optical coherence tomographic angiography

Optical coherence tomography angiography (OCTA) is a relatively new technique with capillary‐level resolution, which has shown great potential for the diagnosis of diabetic retinopathy (DR). A fully automatic algorithm for the quantitative measurement of microcirculatory changes in sight‐threatening...

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Veröffentlicht in:Journal of biophotonics 2019-11, Vol.12 (11), p.e201900103-n/a
Hauptverfasser: Xu, Xiayu, Chen, Cheng, Ding, Wenxiang, Yang, Peiwei, Lu, Huiqin, Xu, Feng, Lei, Jianqin
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container_start_page e201900103
container_title Journal of biophotonics
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creator Xu, Xiayu
Chen, Cheng
Ding, Wenxiang
Yang, Peiwei
Lu, Huiqin
Xu, Feng
Lei, Jianqin
description Optical coherence tomography angiography (OCTA) is a relatively new technique with capillary‐level resolution, which has shown great potential for the diagnosis of diabetic retinopathy (DR). A fully automatic algorithm for the quantitative measurement of microcirculatory changes in sight‐threatening DR is presented. The foveal avascular zone (FAZ) segmentation was improved with a graph‐theoretic method and the large vessels and capillaries were separately identified and analyzed. The method was evaluated in healthy and diabetic eyes with various stages of retinopathy. Results showed that, compared with the healthy group, the diabetic group showed a significantly larger large vessel density, but a significantly smaller capillary density (P 
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A fully automatic algorithm for the quantitative measurement of microcirculatory changes in sight‐threatening DR is presented. The foveal avascular zone (FAZ) segmentation was improved with a graph‐theoretic method and the large vessels and capillaries were separately identified and analyzed. The method was evaluated in healthy and diabetic eyes with various stages of retinopathy. Results showed that, compared with the healthy group, the diabetic group showed a significantly larger large vessel density, but a significantly smaller capillary density (P &lt; .001). Circularity of FAZ was significantly smaller while nonperfusion area was significantly larger in the diabetic group. The combined variable of all image metrics reached an area under the ROC of 0.853 (95% CI, 0.784‐0.923) for mild to moderate nonproliferative DR and 0.950 (95% CI, 0.922‐0.979) for proliferative DR. Microvascular and FAZ changes with various DR stages can be accurately delineated using the developed automatic program. Quantitative metrics on OCTA serve as potential biomarkers for the staging of DR. A fully automatic algorithm for the quantitative measurement of microcirculatory changes in sight‐threatening diabetic retinopathy (DR) is presented in this paper. The foveal avascular zone segmentation was improved with a graph‐theoretic method and various image metrics were extracted. The combined variable of all image metrics reached an area under the ROC of 0.853 for mild to moderate nonproliferative DR and 0.950 for proliferative DR.</description><identifier>ISSN: 1864-063X</identifier><identifier>EISSN: 1864-0648</identifier><identifier>DOI: 10.1002/jbio.201900103</identifier><identifier>PMID: 31309729</identifier><language>eng</language><publisher>Weinheim: WILEY‐VCH Verlag GmbH &amp; Co. 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A fully automatic algorithm for the quantitative measurement of microcirculatory changes in sight‐threatening DR is presented. The foveal avascular zone (FAZ) segmentation was improved with a graph‐theoretic method and the large vessels and capillaries were separately identified and analyzed. The method was evaluated in healthy and diabetic eyes with various stages of retinopathy. Results showed that, compared with the healthy group, the diabetic group showed a significantly larger large vessel density, but a significantly smaller capillary density (P &lt; .001). Circularity of FAZ was significantly smaller while nonperfusion area was significantly larger in the diabetic group. The combined variable of all image metrics reached an area under the ROC of 0.853 (95% CI, 0.784‐0.923) for mild to moderate nonproliferative DR and 0.950 (95% CI, 0.922‐0.979) for proliferative DR. Microvascular and FAZ changes with various DR stages can be accurately delineated using the developed automatic program. Quantitative metrics on OCTA serve as potential biomarkers for the staging of DR. A fully automatic algorithm for the quantitative measurement of microcirculatory changes in sight‐threatening diabetic retinopathy (DR) is presented in this paper. The foveal avascular zone segmentation was improved with a graph‐theoretic method and various image metrics were extracted. 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A fully automatic algorithm for the quantitative measurement of microcirculatory changes in sight‐threatening DR is presented. The foveal avascular zone (FAZ) segmentation was improved with a graph‐theoretic method and the large vessels and capillaries were separately identified and analyzed. The method was evaluated in healthy and diabetic eyes with various stages of retinopathy. Results showed that, compared with the healthy group, the diabetic group showed a significantly larger large vessel density, but a significantly smaller capillary density (P &lt; .001). Circularity of FAZ was significantly smaller while nonperfusion area was significantly larger in the diabetic group. The combined variable of all image metrics reached an area under the ROC of 0.853 (95% CI, 0.784‐0.923) for mild to moderate nonproliferative DR and 0.950 (95% CI, 0.922‐0.979) for proliferative DR. Microvascular and FAZ changes with various DR stages can be accurately delineated using the developed automatic program. Quantitative metrics on OCTA serve as potential biomarkers for the staging of DR. A fully automatic algorithm for the quantitative measurement of microcirculatory changes in sight‐threatening diabetic retinopathy (DR) is presented in this paper. The foveal avascular zone segmentation was improved with a graph‐theoretic method and various image metrics were extracted. The combined variable of all image metrics reached an area under the ROC of 0.853 for mild to moderate nonproliferative DR and 0.950 for proliferative DR.</abstract><cop>Weinheim</cop><pub>WILEY‐VCH Verlag GmbH &amp; Co. KGaA</pub><pmid>31309729</pmid><doi>10.1002/jbio.201900103</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-5286-0454</orcidid></addata></record>
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subjects Algorithms
Angiography
Automation
Biomarkers
Blood vessels
Capillaries
Density
Diabetes
Diabetes mellitus
Diabetic retinopathy
Eye (anatomy)
Image processing
Image segmentation
Medical imaging
microcirculation
Microvasculature
OCT angiography
Optical Coherence Tomography
Retina
Retinopathy
title Automated quantification of superficial retinal capillaries and large vessels for diabetic retinopathy on optical coherence tomographic angiography
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