Literature DB >> 30576300

QUANTIFICATION OF RETINAL CAPILLARY NONPERFUSION IN DIABETICS USING WIDE-FIELD OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY.

A Yasin Alibhai1, Lucas R De Pretto2,3, Eric M Moult2, Chris Or1, Malvika Arya1, Mitchell McGowan1, Oscar Carrasco-Zevallos2, ByungKun Lee2, Siyu Chen2, Caroline R Baumal1, Andre J Witkin1, Elias Reichel1, Anderson Zanardi de Freitas3, Jay S Duker1, James G Fujimoto2, Nadia K Waheed1.   

Abstract

PURPOSE: To combine advances in high-speed, wide-field optical coherence tomography angiography (OCTA) with image processing methods for semiautomatic quantitative analysis of capillary nonperfusion in patients with diabetic retinopathy (DR).
METHODS: Sixty-eight diabetic patients (73 eyes), either without retinopathy or with different degrees of retinopathy, were prospectively recruited for volumetric swept-source OCTA imaging using 12 mm × 12 mm fields centered at the fovea. A custom, semiautomatic software algorithm was used to quantify areas of capillary nonperfusion.
RESULTS: The mean percentage of nonperfused area was 0.1% (95% confidence interval: 0.0-0.4) in the eyes without DR; 2.1% (95% confidence interval: 1.2-3.7) in the nonproliferative DR eyes (mild, moderate, and severe), and 8.5% (95% confidence interval: 5.0-14.3) in the proliferative DR eyes. The percentage of nonperfused area increased in a statistically significant manner from eyes without DR, to eyes with nonproliferative DR, to eyes with proliferative DR.
CONCLUSION: Capillary nonperfusion area in the posterior retina increases with increasing DR severity as measured by swept-source OCTA. Quantitative analysis of retinal nonperfusion on wide-field OCTA may be useful for early detection and monitoring of disease in patients with diabetes and DR.

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Mesh:

Year:  2020        PMID: 30576300     DOI: 10.1097/IAE.0000000000002403

Source DB:  PubMed          Journal:  Retina        ISSN: 0275-004X            Impact factor:   4.256


  21 in total

1.  Development and validation of a deep learning algorithm for distinguishing the nonperfusion area from signal reduction artifacts on OCT angiography.

Authors:  Yukun Guo; Tristan T Hormel; Honglian Xiong; Bingjie Wang; Acner Camino; Jie Wang; David Huang; Thomas S Hwang; Yali Jia
Journal:  Biomed Opt Express       Date:  2019-06-12       Impact factor: 3.732

2.  Robust non-perfusion area detection in three retinal plexuses using convolutional neural network in OCT angiography.

Authors:  Jie Wang; Tristan T Hormel; Qisheng You; Yukun Guo; Xiaogang Wang; Liu Chen; Thomas S Hwang; Yali Jia
Journal:  Biomed Opt Express       Date:  2019-12-18       Impact factor: 3.732

3.  Retinal Nonperfusion Relationship to Arteries or Veins Observed on Widefield Optical Coherence Tomography Angiography in Diabetic Retinopathy.

Authors:  Akihiro Ishibazawa; Lucas R De Pretto; A Yasin Alibhai; Eric M Moult; Malvika Arya; Osama Sorour; Nihaal Mehta; Caroline R Baumal; Andre J Witkin; Akitoshi Yoshida; Jay S Duker; James G Fujimoto; Nadia K Waheed
Journal:  Invest Ophthalmol Vis Sci       Date:  2019-10-01       Impact factor: 4.799

4.  Correlation of Quantitative Measurements with Diabetic Disease Severity Using Multiple En Face OCT Angiography Image Averaging.

Authors:  Jesse J Jung; Daryle Jason G Yu; Anne Zeng; Michael H Chen; Yue Shi; Marco Nassisi; Kenneth M Marion; Srinivas R Sadda; Quan V Hoang
Journal:  Ophthalmol Retina       Date:  2020-05-07

5.  Normative intercapillary distance and vessel density data in the temporal retina assessed by wide-field spectral-domain optical coherence tomography angiography.

Authors:  Keke Liu; Yukun Guo; Qisheng You; Tristan Hormel; Thomas S Hwang; Yali Jia
Journal:  Exp Biol Med (Maywood)       Date:  2021-08-26

6.  Differentiating Microaneurysm Pathophysiology in Diabetic Retinopathy Through Objective Analysis of Capillary Nonperfusion, Inflammation, and Pericytes.

Authors:  Dong An; Bryan Tan; Dao-Yi Yu; Chandrakumar Balaratnasingam
Journal:  Diabetes       Date:  2022-04-01       Impact factor: 9.337

7.  Controlling for Artifacts in Widefield Optical Coherence Tomography Angiography Measurements of Non-Perfusion Area.

Authors:  Lucas R De Pretto; Eric M Moult; A Yasin Alibhai; Oscar M Carrasco-Zevallos; Siyu Chen; ByungKun Lee; Andre J Witkin; Caroline R Baumal; Elias Reichel; Anderson Zanardi de Freitas; Jay S Duker; Nadia K Waheed; James G Fujimoto
Journal:  Sci Rep       Date:  2019-06-24       Impact factor: 4.379

8.  Imaging Artifacts and Segmentation Errors With Wide-Field Swept-Source Optical Coherence Tomography Angiography in Diabetic Retinopathy.

Authors:  Ying Cui; Ying Zhu; Jay C Wang; Yifan Lu; Rebecca Zeng; Raviv Katz; David M Wu; Demetrios G Vavvas; Deeba Husain; Joan W Miller; Leo A Kim; John B Miller
Journal:  Transl Vis Sci Technol       Date:  2019-11-15       Impact factor: 3.283

9.  Differentiation of Diabetic Status Using Statistical and Machine Learning Techniques on Optical Coherence Tomography Angiography Images.

Authors:  Tariq Mehmood Aslam; David Charles Hoyle; Vikram Puri; Goncalo Bento
Journal:  Transl Vis Sci Technol       Date:  2020-03-09       Impact factor: 3.283

Review 10.  Optical coherence tomography angiography in diabetic retinopathy: a review of current applications.

Authors:  Kai Yuan Tey; Kelvin Teo; Anna C S Tan; Kavya Devarajan; Bingyao Tan; Jacqueline Tan; Leopold Schmetterer; Marcus Ang
Journal:  Eye Vis (Lond)       Date:  2019-11-18
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