Literature DB >> 31584558

COMPARISON OF PROJECTION-RESOLVED OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY-BASED METRICS FOR THE EARLY DETECTION OF RETINAL MICROVASCULAR IMPAIRMENTS IN DIABETES MELLITUS.

Tie Pei Zhu1, En Hui Li1,2, Jin Yu Li1, Xi Zhe Dai1, Hui Na Zhang1, Bin Bin Chen1, Pan Pan Ye1, Zhao An Su1, Juan Ye1.   

Abstract

PURPOSE: To determine the ability of nonperfusion, vessel density, and morphologic measurements using projection-resolved optical coherence tomography angiography to detect early retinal microvasculature impairments in diabetes mellitus.
METHODS: A retrospective review was performed on Type 2 diabetes mellitus patients with no diabetic retinopathy (DR) or mild nonproliferative DR and age-matched controls imaged with optical coherence tomography angiography. Foveal avascular zone-related metrics and extrafoveal avascular area were measured in optical coherence tomography angiography images. Vessel density and fractal dimension were calculated with and without a skeletonization process. The vessel diameter index and vessel tortuosity were computed. The area under the receiver operating characteristic curve (AUC) estimated diagnostic performances.
RESULTS: Dilated capillary diameter was observed in the deep capillary plexus in the diabetic groups. Vessel density and fractal dimension of skeletonized deep capillary plexus significantly and progressively decreased in the no DR and mild nonproliferative DR groups compared with controls. Superficial extrafoveal avascular area, vessel density, and fractal dimension of the skeletonized deep capillary plexus had the highest diagnostic performance to differentiate mild nonproliferative DR from control eyes, with AUCs of 0.885, 0.876, and 0.876, respectively.
CONCLUSION: Vessel density and fractal dimension from the skeletonized deep capillary network may be the most sensitive for detecting early retinal capillary loss in diabetes mellitus.

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Year:  2020        PMID: 31584558     DOI: 10.1097/IAE.0000000000002655

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


  6 in total

1.  A Deep Learning Algorithm for Classifying Diabetic Retinopathy Using Optical Coherence Tomography Angiography.

Authors:  Gahyung Ryu; Kyungmin Lee; Donggeun Park; Inhye Kim; Sang Hyun Park; Min Sagong
Journal:  Transl Vis Sci Technol       Date:  2022-02-01       Impact factor: 3.048

2.  Microvascular comparison in younger and older patients with retinal vein occlusion analyzed by OCT angiography.

Authors:  Panpan Ye; Tiepei Zhu; Fang Zheng; Min Zhou; Xiaoyun Fang; Ke Yao
Journal:  BMC Ophthalmol       Date:  2021-04-05       Impact factor: 2.209

Review 3.  Retinal Neurodegeneration in Diabetes: an Emerging Concept in Diabetic Retinopathy.

Authors:  Mira M Sachdeva
Journal:  Curr Diab Rep       Date:  2021-12-13       Impact factor: 4.810

4.  Age-related changes in the fractal dimension of the retinal microvasculature, effects of cardiovascular risk factors and smoking behaviour.

Authors:  Sophie Lemmens; Martial Luyts; Nele Gerrits; Anna Ivanova; Charlien Landtmeeters; Reinout Peeters; Anne-Sophie Simons; Julie Vercauteren; Gordana Sunaric-Mégevand; Karel Van Keer; Geert Molenberghs; Patrick De Boever; Ingeborg Stalmans
Journal:  Acta Ophthalmol       Date:  2021-11-07       Impact factor: 3.988

5.  Microvasculature Segmentation and Intercapillary Area Quantification of the Deep Vascular Complex Using Transfer Learning.

Authors:  Julian Lo; Morgan Heisler; Vinicius Vanzan; Sonja Karst; Ivana Zadro Matovinović; Sven Lončarić; Eduardo V Navajas; Mirza Faisal Beg; Marinko V Šarunić
Journal:  Transl Vis Sci Technol       Date:  2020-07-10       Impact factor: 3.283

Review 6.  Optical Coherence Tomography Angiography in Diabetic Patients: A Systematic Review.

Authors:  Ana Boned-Murillo; Henar Albertos-Arranz; María Dolores Diaz-Barreda; Elvira Orduna-Hospital; Ana Sánchez-Cano; Antonio Ferreras; Nicolás Cuenca; Isabel Pinilla
Journal:  Biomedicines       Date:  2021-12-31
  6 in total

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