Literature DB >> 23778092

Peripheral lesions identified by mydriatic ultrawide field imaging: distribution and potential impact on diabetic retinopathy severity.

Paolo S Silva1, Jerry D Cavallerano2, Jennifer K Sun2, Ahmed Z Soliman2, Lloyd M Aiello2, Lloyd Paul Aiello2.   

Abstract

OBJECTIVE: To assess diabetic retinopathy (DR) as determined by lesions identified using mydriatic ultrawide field imaging (DiSLO200; Optos plc, Scotland, UK) compared with Early Treatment Diabetic Retinopathy Study (ETDRS) 7-standard field film photography.
DESIGN: Prospective comparative study of DiSLO200, ETDRS 7-standard field film photographs, and dilated fundus examination (DFE). PARTICIPANTS: A total of 206 eyes of 103 diabetic patients selected to represent all levels of DR.
METHODS: Subjects had DiSLO200, ETDRS 7-standard field film photographs, and DFE. Images were graded for severity and distribution of DR lesions. Discrepancies were adjudicated, and images were compared side by side. MAIN OUTCOME MEASURES: Distribution of hemorrhage and/or microaneurysm (H/Ma), venous beading (VB), intraretinal microvascular abnormality (IRMA), and new vessels elsewhere (NVE). Kappa (κ) and weighted κ statistics for agreement.
RESULTS: The distribution of DR severity by ETDRS 7-standard field film photographs was no DR 12.5%; nonproliferative DR mild 22.5%, moderate 30%, and severe/very severe 8%; and proliferative DR 27%. Diabetic retinopathy severity between DiSLO200 and ETDRS film photographs matched in 80% of eyes (weighted κ = 0.74,κ = 0.84) and was within 1 level in 94.5% of eyes. DiSLO200 and DFE matched in 58.8% of eyes (weighted κ = 0.69,κ = 0.47) and were within 1 level in 91.2% of eyes. Forty eyes (20%) had DR severity discrepancies between DiSLO200 and ETDRS film photographs. The retinal lesions causing discrepancies were H/Ma 52%, IRMA 26%, NVE 17%, and VB 4%. Approximately one-third of H/Ma, IRMA, and NVE were predominantly outside ETDRS fields. Lesions identified on DiSLO200 but not ETDRS film photographs suggested a more severe DR level in 10% of eyes. Distribution in the temporal, superotemporal, inferotemporal, superonasal, and inferonasal fields was 77%, 72%, 61%, 65%, and 59% for H/Ma, respectively (P<0.0001); 22%, 24%, 21%, 28%, and 22% for VB, respectively (P = 0.009); 52%, 40%, 29%, 47%, and 36% for IRMA, respectively (P<0.0001), and 8%, 4%, 4%, 8%, and 5% for NVE, respectively (P = 0.03). All lesions were more frequent in the temporal fields compared with the nasal fields (P<0.0001).
CONCLUSIONS: DiSLO200 images had substantial agreement with ETDRS film photographs and DFE in determining DR severity. On the basis of DiSLO200 images, significant nonuniform distribution of DR lesions was evident across the retina. The additional peripheral lesions identified by DiSLO200 in this cohort suggested a more severe assessment of DR in 10% of eyes than was suggested by the lesions within the ETDRS fields. However, the implications of peripheral lesions on DR progression within a specific ETDRS severity level over time are unknown and need to be evaluated prospectively.
Copyright © 2013 American Academy of Ophthalmology. Published by Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23778092     DOI: 10.1016/j.ophtha.2013.05.004

Source DB:  PubMed          Journal:  Ophthalmology        ISSN: 0161-6420            Impact factor:   12.079


  67 in total

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Authors:  Gina Yu; Michael T Aaberg; Tapan P Patel; Rahul S Iyengar; Corey Powell; Annie Tran; Caitlin Miranda; Emma Young; Katarina Demetriou; Laxmi Devisetty; Yannis M Paulus
Journal:  JAMA Ophthalmol       Date:  2020-06-01       Impact factor: 7.389

2.  Within-subject assessment of foveal avascular zone enlargement in different stages of diabetic retinopathy using en face OCT reflectance and OCT angiography.

Authors:  Giselle Lynch; Jorge S Andrade Romo; Rachel Linderman; Brian D Krawitz; Shelley Mo; Amir Zakik; Joseph Carroll; Richard B Rosen; Toco Y P Chui
Journal:  Biomed Opt Express       Date:  2018-11-05       Impact factor: 3.732

3.  Wide-field optical coherence tomography angiography for the detection of proliferative diabetic retinopathy.

Authors:  Francesco Pichi; Scott D Smith; Emad B Abboud; Piergiorgio Neri; Elizabeth Woodstock; Steven Hay; Emily Levine; Caroline R Baumal
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2020-05-30       Impact factor: 3.117

4.  Distribution of peripheral lesions identified by mydriatic ultra-wide field fundus imaging in diabetic retinopathy.

Authors:  Aditya Verma; Ahmed Roshdy Alagorie; Kim Ramasamy; Jano van Hemert; N K Yadav; Rajeev R Pappuru; Adnan Tufail; Muneesawar Gupta Nittala; SriniVas R Sadda; Rajiv Raman
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2020-01-27       Impact factor: 3.117

5.  Technical and imaging factors influencing performance of deep learning systems for diabetic retinopathy.

Authors:  Michelle Y T Yip; Gilbert Lim; Zhan Wei Lim; Quang D Nguyen; Crystal C Y Chong; Marco Yu; Valentina Bellemo; Yuchen Xie; Xin Qi Lee; Haslina Hamzah; Jinyi Ho; Tien-En Tan; Charumathi Sabanayagam; Andrzej Grzybowski; Gavin S W Tan; Wynne Hsu; Mong Li Lee; Tien Yin Wong; Daniel S W Ting
Journal:  NPJ Digit Med       Date:  2020-03-23

6.  Simultaneous multimodal ophthalmic imaging using swept-source spectrally encoded scanning laser ophthalmoscopy and optical coherence tomography.

Authors:  Joseph D Malone; Mohamed T El-Haddad; Ivan Bozic; Logan A Tye; Lucas Majeau; Nicolas Godbout; Andrew M Rollins; Caroline Boudoux; Karen M Joos; Shriji N Patel; Yuankai K Tao
Journal:  Biomed Opt Express       Date:  2016-12-12       Impact factor: 3.732

7.  Quantification of Retinal Nonperfusion Associated With Posterior Segment Neovascularization in Diabetic Retinopathy Using Ultra-Widefield Fluorescein Angiography.

Authors:  Sally L Baxter; Aria Ashir; Brian J Nguyen; Eric Nudleman
Journal:  Ophthalmic Surg Lasers Imaging Retina       Date:  2019-02-01       Impact factor: 1.300

8.  Retinal flow density by optical coherence tomography angiography is useful for detection of nonperfused areas in diabetic retinopathy.

Authors:  Yoshihiro Kaizu; Shintaro Nakao; Haruka Sekiryu; Iori Wada; Muneo Yamaguchi; Toshio Hisatomi; Yasuhiro Ikeda; Junji Kishimoto; Koh-Hei Sonoda
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2018-09-06       Impact factor: 3.117

Review 9.  Ultra widefield fundus imaging for diabetic retinopathy.

Authors:  Szilárd Kiss; Thomas L Berenberg
Journal:  Curr Diab Rep       Date:  2014-08       Impact factor: 4.810

10.  Influencing factors for peripheral and posterior lesions in mild non-proliferative diabetic retinopathy-the Kailuan Eye Study.

Authors:  Mo-Chi Yang; Xiao-Bo Zhu; Ya-Xing Wang; Shou-Ling Wu; Qian Wang; Yan-Ni Yan; Xuan Yang; Jing-Yan Yang; Meng-Xi Chen; Ya-Hui Lei; Wen-Bin Wei
Journal:  Int J Ophthalmol       Date:  2020-09-18       Impact factor: 1.779

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