Literature DB >> 26795548

Automated Quantification of Capillary Nonperfusion Using Optical Coherence Tomography Angiography in Diabetic Retinopathy.

Thomas S Hwang1, Simon S Gao1, Liang Liu1, Andreas K Lauer1, Steven T Bailey1, Christina J Flaxel1, David J Wilson1, David Huang1, Yali Jia1.   

Abstract

IMPORTANCE: Macular ischemia is a key feature of diabetic retinopathy (DR). Quantification of macular ischemia has potential as a biomarker for DR.
OBJECTIVE: To assess the feasibility of automated quantification of capillary nonperfusion as a potential sign of macular ischemia using optical coherence tomography (OCT) angiography. DESIGN, SETTING, AND PARTICIPANTS: An observational study conducted in a tertiary, subspecialty, academic practice evaluated macular nonperfusion with 6 × 6-mm OCT angiography obtained with commercially available 70-kHz OCT and fluorescein angiography (FA). The study was conducted from January 22 to September 18, 2014. Data analysis was performed from October 1, 2014, to April 7, 2015. Participants included 12 individuals with normal vision serving as controls and 12 patients with various levels of DR. MAIN OUTCOMES AND MEASURES: Preplanned primary measures were parafoveal and perifoveal vessel density, total avascular area, and foveal avascular zone as detected with 6 × 6-mm OCT angiography and analyzed using an automated algorithm. Secondary measures included the agreement of the avascular area between the OCT angiogram and FA.
RESULTS: Compared with the 12 healthy controls (11 women; mean [SD] age, 54.2 [14.2] years), the 12 participants with DR (4 women; mean [SD] age, 55.1 [12.1] years) had reduced parafoveal and perifoveal vessel density by 12.6% (95% CI, 7.7%-17.5%; P < .001) and 10.4% (95% CI, 6.8%-14.1%; P < .001), respectively. Total avascular area and foveal avascular zone area were greater in eyes with DR by 0.82 mm2 (95% CI, 0.65-0.99 mm2; P = .02) and 0.16 mm2 (95% CI, 0.05-0.28 mm2; P < .001). The agreement between the vascular areas in the OCT angiogram and FA had a κ value of 0.45 (95% CI, 0.21-0.70; P < .001). Total avascular area in the central 5.5-mm-diameter area distinguished eyes with DR from control eyes with 100% sensitivity and specificity. CONCLUSIONS AND RELEVANCE: Avascular area analysis with an automated algorithm using OCT angiography, although not equivalent to FA, detected DR reliably in this small pilot study. Further study is necessary to determine the usefulness of the automated quantification in clinical practice.

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Year:  2016        PMID: 26795548      PMCID: PMC4978127          DOI: 10.1001/jamaophthalmol.2015.5658

Source DB:  PubMed          Journal:  JAMA Ophthalmol        ISSN: 2168-6165            Impact factor:   7.389


  32 in total

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2.  Three-dimensional vascular imaging of proliferative diabetic retinopathy by Doppler optical coherence tomography.

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4.  Optical Coherence Tomography Angiography in Diabetic Retinopathy: A Prospective Pilot Study.

Authors:  Akihiro Ishibazawa; Taiji Nagaoka; Atsushi Takahashi; Tsuneaki Omae; Tomofumi Tani; Kenji Sogawa; Harumasa Yokota; Akitoshi Yoshida
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5.  Absence of foveal avascular zone demonstrated by laser scanning fluorescein angiography.

Authors:  B Sander; M Larsen; C Engler; H Lund-Andersen
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6.  Perifoveal microcirculation with non-insulin-dependent diabetes mellitus.

Authors:  O Arend; S Wolf; A Remky; W E Sponsel; A Harris; B Bertram; M Reim
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7.  Foveal avascular zone in diabetic retinopathy: quantitative vs qualitative assessment.

Authors:  J Conrath; R Giorgi; D Raccah; B Ridings
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Review 8.  Proposed international clinical diabetic retinopathy and diabetic macular edema disease severity scales.

Authors:  C P Wilkinson; Frederick L Ferris; Ronald E Klein; Paul P Lee; Carl David Agardh; Matthew Davis; Diana Dills; Anselm Kampik; R Pararajasegaram; Juan T Verdaguer
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9.  Retinal microcirculation in patients with diabetes mellitus: dynamic and morphological analysis of perifoveal capillary network.

Authors:  O Arend; S Wolf; F Jung; B Bertram; H Pöstgens; H Toonen; M Reim
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10.  Optical coherence tomography angiography of optic disc perfusion in glaucoma.

Authors:  Yali Jia; Eric Wei; Xiaogang Wang; Xinbo Zhang; John C Morrison; Mansi Parikh; Lori H Lombardi; Devin M Gattey; Rebecca L Armour; Beth Edmunds; Martin F Kraus; James G Fujimoto; David Huang
Journal:  Ophthalmology       Date:  2014-03-12       Impact factor: 12.079

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  137 in total

1.  Three-dimensional structural and angiographic evaluation of foveal ischemia in diabetic retinopathy: method and validation.

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2.  Ultra-Widefield Protocol Enhances Automated Classification of Diabetic Retinopathy Severity with OCT Angiography.

Authors:  FuPeng Wang; Steven S Saraf; Qinqin Zhang; Ruikang K Wang; Kasra A Rezaei
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3.  Maximum value projection produces better en face OCT angiograms than mean value projection.

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4.  Visualization of micro-capillaries using optical coherence tomography angiography with and without adaptive optics.

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5.  Automated detection of dilated capillaries on optical coherence tomography angiography.

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6.  Regression-based algorithm for bulk motion subtraction in optical coherence tomography angiography.

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Review 7.  Paradigm Shifts in Ophthalmic Diagnostics.

Authors:  J Sebag; Alfredo A Sadun; Eric A Pierce
Journal:  Trans Am Ophthalmol Soc       Date:  2016-08

8.  Vascular Density of Deep, Intermediate and Superficial Vascular Plexuses Are Differentially Affected by Diabetic Retinopathy Severity.

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9.  Automated Quantification of Nonperfusion Areas in 3 Vascular Plexuses With Optical Coherence Tomography Angiography in Eyes of Patients With Diabetes.

Authors:  Thomas S Hwang; Ahmed M Hagag; Jie Wang; Miao Zhang; Andrew Smith; David J Wilson; David Huang; Yali Jia
Journal:  JAMA Ophthalmol       Date:  2018-08-01       Impact factor: 7.389

10.  Visualizing Structure and Vascular Interactions: Macular Nonperfusion in Three Capillary Plexuses.

Authors:  Justin J Park; Christopher S Chung; Amani A Fawzi
Journal:  Ophthalmic Surg Lasers Imaging Retina       Date:  2018-11-01       Impact factor: 1.300

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