Literature DB >> 36261470

Comparison of two ultra-widefield color-fundus imaging devices for visualization of retinal periphery and microvascular lesions in patients with early diabetic retinopathy.

Heiko Stino1, Susanna Riessland1, Aleksandra Sedova1, Felix Datlinger1, Stefan Sacu1, Ursula Schmidt-Erfurth1, Andreas Pollreisz2.   

Abstract

Comparison of two ultra-widefield (UWF) color-fundus (CF) imaging devices in diabetic patients for visualization of retinal periphery and detection of early microvascular lesions. The total gradable areas (TGA) seen on non-mydriatic CF-images of two UWF-imaging devices (Optos Daytona P200T; Zeiss Clarus 700) were compared and differences in projected area measured. Retinal periphery outside the 7 standard fields (7SF) was divided into: F3 temporal, F4 superotemporal, F5 inferotemporal, F6 superonasal, F7 inferonasal. DR stage was evaluated in the 7SF and the TGA on images of both devices and compared using Cohens κ. 67 eyes of 67 patients (52.5 ± 15.3 years) were analysed. DR stages in the 7SF were no (n = 36 Optos, n = 35 Clarus), mild (n = 16 Optos, n = 17 Clarus), and moderate DR (n = 15). Optos depicted significantly more area in F3 (median [interquartile range]; 2.41% [1.06-4.11] vs 0% [0-0], P < 0.001) and Clarus in F7 (3.29% [0-7.69] vs 0% [0-3.27], P = 0.002). In 4 eyes DR-stage was higher using Optos due to peripheral lesions not seen on the Clarus. Interrater reliability of DR-stage on both devices was almost perfect in the 7SF (κ = 0.975) and the TGA (κ = 0.855). Reliability in detecting signs of early DR is high on both devices. Clarus allowed for better visualization of the inferonasal field, Optos of the temporal field.
© 2022. The Author(s).

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Year:  2022        PMID: 36261470      PMCID: PMC9582026          DOI: 10.1038/s41598-022-21319-9

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.996


  26 in total

1.  Sensitivity and specificity of the optos optomap for detecting peripheral retinal lesions.

Authors:  Paul J Mackenzie; Matt Russell; Patrick E Ma; Carolyn M Isbister; David A L Maberley
Journal:  Retina       Date:  2007-10       Impact factor: 4.256

2.  Analysis of the location of retinal lesions in central retinographies of patients with Type 2 diabetes.

Authors:  Eduardo Munuera-Gifre; Marc Saez; Dolors Juvinyà-Canals; Antonio Rodríguez-Poncelas; Joan-Francesc Barrot-de-la-Puente; Josep Franch-Nadal; Pere Romero-Aroca; Maria Antonia Barceló; Gabriel Coll-de-Tuero
Journal:  Acta Ophthalmol       Date:  2019-08-30       Impact factor: 3.761

3.  Automated early detection of diabetic retinopathy.

Authors:  Michael D Abràmoff; Joseph M Reinhardt; Stephen R Russell; James C Folk; Vinit B Mahajan; Meindert Niemeijer; Gwénolé Quellec
Journal:  Ophthalmology       Date:  2010-06       Impact factor: 12.079

Review 4.  The Role of Retinal Imaging and Portable Screening Devices in Tele-ophthalmology Applications for Diabetic Retinopathy Management.

Authors:  Delia Cabrera DeBuc
Journal:  Curr Diab Rep       Date:  2016-12       Impact factor: 4.810

5.  Grading diabetic retinopathy from stereoscopic color fundus photographs--an extension of the modified Airlie House classification. ETDRS report number 10. Early Treatment Diabetic Retinopathy Study Research Group.

Authors: 
Journal:  Ophthalmology       Date:  1991-05       Impact factor: 12.079

6.  Nonmydriatic widefield retinal imaging with an automatic white LED confocal imaging system compared with dilated ophthalmoscopy in screening for diabetic retinopathy.

Authors:  Enrico Borrelli; Lea Querques; Rosangela Lattanzio; Michele Cavalleri; Alessio Grazioli Moretti; Carlo Di Biase; Alberto Signorino; Francesco Gelormini; Riccardo Sacconi; Francesco Bandello; Giuseppe Querques
Journal:  Acta Diabetol       Date:  2020-04-03       Impact factor: 4.280

7.  Automated analysis of retinal images for detection of referable diabetic retinopathy.

Authors:  Michael D Abràmoff; James C Folk; Dennis P Han; Jonathan D Walker; David F Williams; Stephen R Russell; Pascale Massin; Beatrice Cochener; Philippe Gain; Li Tang; Mathieu Lamard; Daniela C Moga; Gwénolé Quellec; Meindert Niemeijer
Journal:  JAMA Ophthalmol       Date:  2013-03       Impact factor: 7.389

8.  Tele-retina screening of diabetic retinopathy among at-risk populations: an economic analysis.

Authors:  Aleksandra Stanimirovic; Troy Francis; Nida Shahid; Olivera Sutakovic; Rebecca Merritt; Michael H Brent; Valeria E Rac
Journal:  Can J Ophthalmol       Date:  2019-08-10       Impact factor: 1.882

9.  Assessment of diabetic retinopathy using two ultra-wide-field fundus imaging systems, the Clarus® and Optos™ systems.

Authors:  Takao Hirano; Akira Imai; Hirotsugu Kasamatsu; Shinji Kakihara; Yuichi Toriyama; Toshinori Murata
Journal:  BMC Ophthalmol       Date:  2018-12-20       Impact factor: 2.209

10.  Comparison of Early Treatment Diabetic Retinopathy Study Standard 7-Field Imaging With Ultrawide-Field Imaging for Determining Severity of Diabetic Retinopathy.

Authors:  Lloyd Paul Aiello; Isoken Odia; Adam R Glassman; Michele Melia; Lee M Jampol; Neil M Bressler; Szilard Kiss; Paolo S Silva; Charles C Wykoff; Jennifer K Sun
Journal:  JAMA Ophthalmol       Date:  2019-01-01       Impact factor: 8.253

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