Literature DB >> 28688908

Ultra-wide-field imaging in diabetic retinopathy.

Khalil Ghasemi Falavarjani1, Irena Tsui2, Srinivas R Sadda3.   

Abstract

Since 1991, 7-field images captured with 30-50 degree cameras in the Early Treatment Diabetic Retinopathy Study were the gold standard for fundus imaging to study diabetic retinopathy. Ultra-wide-field images cover significantly more area (up to 82%) of the fundus and with ocular steering can in many cases image 100% of the fundus ("panretinal"). Recent advances in image analysis of ultra-wide-field imaging allow for precise measurements of the peripheral retinal lesions. There is a growing consensus in the literature that ultra-wide-field imaging improves detection of peripheral lesions in diabetic retinopathy and leads to more accurate classification of the disease. There is discordance among studies, however, on the correlation between peripheral diabetic lesions and diabetic macular edema and optimal management strategies to treat diabetic retinopathy.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Diabetic macular edema; Diabetic retinopathy; Fluorescein angiography; Ultra-wide-field imaging

Mesh:

Year:  2017        PMID: 28688908     DOI: 10.1016/j.visres.2017.02.009

Source DB:  PubMed          Journal:  Vision Res        ISSN: 0042-6989            Impact factor:   1.886


  10 in total

1.  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

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
Journal:  Ophthalmol Retina       Date:  2019-11-09

3.  Enhanced Quantification of Retinal Perfusion by Improved Discrimination of Blood Flow From Bulk Motion Signal in OCTA.

Authors:  Acner Camino; Miao Zhang; Liang Liu; Jie Wang; Yali Jia; David Huang
Journal:  Transl Vis Sci Technol       Date:  2018-12-06       Impact factor: 3.283

4.  Advances in Retinal Optical Imaging.

Authors:  Yanxiu Li; Xiaobo Xia; Yannis M Paulus
Journal:  Photonics       Date:  2018-04-27

5.  Early detection of diabetic retinopathy based on deep learning and ultra-wide-field fundus images.

Authors:  Kangrok Oh; Hae Min Kang; Dawoon Leem; Hyungyu Lee; Kyoung Yul Seo; Sangchul Yoon
Journal:  Sci Rep       Date:  2021-01-21       Impact factor: 4.379

6.  Ultra-wide field imaging to assess the optic nerve and retina in Boston type I and II keratoprosthesis patients.

Authors:  William R Bloom; Matthew D Karl; Sarah B Smith; Yusra F Shao; William Terrell; Ahmad B Tarabishy; Andrew J Hendershot; Rebecca A Kuennen; Tyler D Oostra; Thomas F Mauger; Colleen M Cebulla
Journal:  Eye Vis (Lond)       Date:  2022-05-07

Review 7.  Wide-field imaging in proliferative diabetic retinopathy.

Authors:  T Y Alvin Liu; J Fernando Arevalo
Journal:  Int J Retina Vitreous       Date:  2019-12-12

8.  Insights into retinal hemangioblastoma using ultra widefield imaging.

Authors:  Pradeep Kumar; Raghav Ravani; Sahil Agarwal; Suman Dhanda; Vinod Kumar
Journal:  Indian J Ophthalmol       Date:  2019-12       Impact factor: 1.848

9.  Comparisons of Effective Fields of Two Ultra-Widefield Ophthalmoscopes, Optos 200Tx and Clarus 500.

Authors:  Yoshitsugu Matsui; Atsushi Ichio; Asako Sugawara; Eriko Uchiyama; Hitomi Suimon; Hisashi Matsubara; Masahiko Sugimoto; Kengo Ikesugi; Mineo Kondo
Journal:  Biomed Res Int       Date:  2019-12-05       Impact factor: 3.411

10.  Ultra-wide field swept-source optical coherence tomography angiography in patients with diabetes without clinically detectable retinopathy.

Authors:  Jingyuan Yang; Bilei Zhang; Erqian Wang; Song Xia; Youxin Chen
Journal:  BMC Ophthalmol       Date:  2021-05-01       Impact factor: 2.209

  10 in total

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