Literature DB >> 24935049

Ultra widefield fundus imaging for diabetic retinopathy.

Szilárd Kiss1, Thomas L Berenberg.   

Abstract

For decades, the standard method for screening and grading severity of diabetic retinal disease has relied upon a montage of photographs using normal angle fundus cameras. With the development of ultrawide field (UWF) fundus imaging, more of the retina can be imaged with fewer pictures, less dependence on photographer skill, and, often, greater ease on the patient. Recent studies have shown comparability between traditional and UWF imaging for standard grading of diabetic retinopathy. Moreover, UWF images can detect peripheral pathology not typically seen in standard photographs, which may enlighten our understanding of disease severity and suggest new indications for treatment.

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Year:  2014        PMID: 24935049     DOI: 10.1007/s11892-014-0514-0

Source DB:  PubMed          Journal:  Curr Diab Rep        ISSN: 1534-4827            Impact factor:   4.810


  49 in total

1.  Optos-guided pattern scan laser (Pascal)-targeted retinal photocoagulation in proliferative diabetic retinopathy.

Authors:  Mahiul M K Muqit; George R Marcellino; David B Henson; Lorna B Young; Niall Patton; Stephen J Charles; George S Turner; Paulo E Stanga
Journal:  Acta Ophthalmol       Date:  2011-12-16       Impact factor: 3.761

2.  Clinical examination accurately locates capillary nonperfusion in diabetic retinopathy.

Authors:  James A Kimble; Bari M Brandt; Gerald McGwin
Journal:  Am J Ophthalmol       Date:  2005-03       Impact factor: 5.258

3.  Telemedical retinopathy of prematurity diagnosis: accuracy, reliability, and image quality.

Authors:  Michael F Chiang; Lu Wang; Mihai Busuioc; Yunling E Du; Patrick Chan; Steven A Kane; Thomas C Lee; David J Weissgold; Audina M Berrocal; Osode Coki; John T Flynn; Justin Starren
Journal:  Arch Ophthalmol       Date:  2007-11

4.  Visual field loss after argon laser panretinal photocoagulation in diabetic retinopathy: full- versus mild-scatter coagulation.

Authors:  D Pahor
Journal:  Int Ophthalmol       Date:  1998       Impact factor: 2.031

5.  Nonmydriatic ultrawide field retinal imaging compared with dilated standard 7-field 35-mm photography and retinal specialist examination for evaluation of diabetic retinopathy.

Authors:  Paolo S Silva; Jerry D Cavallerano; Jennifer K Sun; Jason Noble; Lloyd M Aiello; Lloyd Paul Aiello
Journal:  Am J Ophthalmol       Date:  2012-05-23       Impact factor: 5.258

6.  Ultra-wide-field and autofluorescence imaging of choroidal dystrophies.

Authors:  Alex Yuan; Andrew Kaines; Atul Jain; Shantan Reddy; Steven D Schwartz; David Sarraf
Journal:  Ophthalmic Surg Lasers Imaging       Date:  2010-10-28

7.  Screening for diabetic retinopathy: a comparative trial of photography and scanning laser ophthalmoscopy.

Authors:  P J Wilson; J D Ellis; C J MacEwen; A Ellingford; J Talbot; G P Leese
Journal:  Ophthalmologica       Date:  2010-02-10       Impact factor: 3.250

8.  Screening for retinopathy of prematurity employing the retcam 120: sensitivity and specificity.

Authors:  D B Roth; D Morales; W J Feuer; D Hess; R A Johnson; J T Flynn
Journal:  Arch Ophthalmol       Date:  2001-02

9.  Classification of proliferative diabetic retinopathy.

Authors:  F Cardillo Piccolino; M Zingirian; C Mosci
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  1987       Impact factor: 3.117

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

Authors:  Paolo S Silva; Jerry D Cavallerano; Jennifer K Sun; Ahmed Z Soliman; Lloyd M Aiello; Lloyd Paul Aiello
Journal:  Ophthalmology       Date:  2013-06-15       Impact factor: 12.079

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  8 in total

1.  Advanced image processing for optical coherence tomographic angiography of macular diseases.

Authors:  Miao Zhang; Jie Wang; Alex D Pechauer; Thomas S Hwang; Simon S Gao; Liang Liu; Li Liu; Steven T Bailey; David J Wilson; David Huang; Yali Jia
Journal:  Biomed Opt Express       Date:  2015-11-02       Impact factor: 3.732

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

Review 3.  Molecular Mechanisms Mediating Diabetic Retinal Neurodegeneration: Potential Research Avenues and Therapeutic Targets.

Authors:  Harshini Chakravarthy; Vasudharani Devanathan
Journal:  J Mol Neurosci       Date:  2018-10-06       Impact factor: 3.444

Review 4.  Retinal Imaging Techniques for Diabetic Retinopathy Screening.

Authors:  James Kang Hao Goh; Carol Y Cheung; Shaun Sebastian Sim; Pok Chien Tan; Gavin Siew Wei Tan; Tien Yin Wong
Journal:  J Diabetes Sci Technol       Date:  2016-02-01

5.  Effect of phase-plate adjustment on retinal image sharpness and visible retinal area on ultrawide field imaging.

Authors:  Aditi Gupta; Hala El-Rami; Rasha Barham; Alan Fleming; Jano van Hemert; Jennifer K Sun; Paolo S Silva; Lloyd Paul Aiello
Journal:  Eye (Lond)       Date:  2018-11-02       Impact factor: 4.456

6.  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

Review 7.  Wide-field angiography in retinal vein occlusions.

Authors:  Colin S Tan; Kelvin Z Li; SriniVas R Sadda
Journal:  Int J Retina Vitreous       Date:  2019-12-12

8.  Automated Quality Assessment and Image Selection of Ultra-Widefield Fluorescein Angiography Images through Deep Learning.

Authors:  Henry H Li; Joseph R Abraham; Duriye Damla Sevgi; Sunil K Srivastava; Jenna M Hach; Jon Whitney; Amit Vasanji; Jamie L Reese; Justis P Ehlers
Journal:  Transl Vis Sci Technol       Date:  2020-09-17       Impact factor: 3.283

  8 in total

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