Literature DB >> 19372722

Computer-assisted microaneurysm turnover in the early stages of diabetic retinopathy.

Rui Bernardes1, Sandrina Nunes, Ivânia Pereira, Teresa Torrent, Andreia Rosa, Dalila Coelho, José Cunha-Vaz.   

Abstract

PURPOSE: To assess the reliability of microaneurysm turnover, computed from color fundus photographs, in evaluating diabetic retinopathy in patients with type 2 diabetes and nonproliferative retinopathy.
METHODS: A new method (MA-Tracker) was developed to count microaneurysms by mapping their locations through image co-registration. To compute the reliability of microaneurysm turnover, 3 different graders were asked to earmark microaneurysms on the same set of color fundus photographs.
RESULTS: The total numbers of microaneurysms earmarked in each of 5 visits suggest that microaneurysms remain stable over time (p >or= 0.138). However, an analysis of each microaneurysm showed that only 29.4% remained at the same location. By computing the formation and disappearance rates of microaneurysms (2.3 and 1.7 microaneurysms/year, respectively), a significant turnover of microaneurysms was found.
CONCLUSIONS: The formation and disappearance rates of microaneurysms obtained from color fundus photographs using MA-Tracker show very good agreement between different graders, and can be used as indicators of microaneurysm turnover in the initial stages of diabetic retinopathy. (c) 2009 S. Karger AG, Basel.

Entities:  

Mesh:

Year:  2009        PMID: 19372722     DOI: 10.1159/000213638

Source DB:  PubMed          Journal:  Ophthalmologica        ISSN: 0030-3755            Impact factor:   3.250


  12 in total

Review 1.  Algorithms for the automated detection of diabetic retinopathy using digital fundus images: a review.

Authors:  Oliver Faust; Rajendra Acharya U; E Y K Ng; Kwan-Hoong Ng; Jasjit S Suri
Journal:  J Med Syst       Date:  2010-04-06       Impact factor: 4.460

2.  Automated fine structure image analysis method for discrimination of diabetic retinopathy stage using conjunctival microvasculature images.

Authors:  Maziyar M Khansari; William O'Neill; Richard Penn; Felix Chau; Norman P Blair; Mahnaz Shahidi
Journal:  Biomed Opt Express       Date:  2016-06-16       Impact factor: 3.732

3.  Classification of human retinal microaneurysms using adaptive optics scanning light ophthalmoscope fluorescein angiography.

Authors:  Michael Dubow; Alexander Pinhas; Nishit Shah; Robert F Cooper; Alexander Gan; Ronald C Gentile; Vernon Hendrix; Yusufu N Sulai; Joseph Carroll; Toco Y P Chui; Joseph B Walsh; Rishard Weitz; Alfredo Dubra; Richard B Rosen
Journal:  Invest Ophthalmol Vis Sci       Date:  2014-03-04       Impact factor: 4.799

4.  Longitudinal imaging of microvascular remodelling in proliferative diabetic retinopathy using adaptive optics scanning light ophthalmoscopy.

Authors:  Toco Yuen Ping Chui; Alexander Pinhas; Alexander Gan; Moataz Razeen; Nishit Shah; Eric Cheang; Chun L Liu; Alfredo Dubra; Richard B Rosen
Journal:  Ophthalmic Physiol Opt       Date:  2016-01-24       Impact factor: 3.117

5.  Microaneurysm count as a predictor of long-term progression in diabetic retinopathy in young patients with type 1 diabetes: the Danish Cohort of Pediatric Diabetes 1987 (DCPD1987).

Authors:  M L Rasmussen; R Broe; U Frydkjaer-Olsen; B S Olsen; H B Mortensen; T Peto; J Grauslund
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2014-06-05       Impact factor: 3.117

Review 6.  Automated retinal image analysis for diabetic retinopathy in telemedicine.

Authors:  Dawn A Sim; Pearse A Keane; Adnan Tufail; Catherine A Egan; Lloyd Paul Aiello; Paolo S Silva
Journal:  Curr Diab Rep       Date:  2015-03       Impact factor: 5.430

7.  Imbalance of the nerve growth factor and its precursor as a potential biomarker for diabetic retinopathy.

Authors:  B A Mysona; S Matragoon; M Stephens; I N Mohamed; A Farooq; M L Bartasis; A Y Fouda; A Y Shanab; D G Espinosa-Heidmann; A B El-Remessy
Journal:  Biomed Res Int       Date:  2015-03-17       Impact factor: 3.411

8.  Microaneurysm turnover at the macula predicts risk of development of clinically significant macular edema in persons with mild nonproliferative diabetic retinopathy.

Authors:  Maria Luisa Ribeiro; Sandrina G Nunes; José G Cunha-Vaz
Journal:  Diabetes Care       Date:  2012-11-30       Impact factor: 19.112

9.  Retinal Microaneurysms Detection Using Gradient Vector Analysis and Class Imbalance Classification.

Authors:  Baisheng Dai; Xiangqian Wu; Wei Bu
Journal:  PLoS One       Date:  2016-08-26       Impact factor: 3.240

10.  Noninvasive detection of microaneurysms in diabetic retinopathy by swept-source optical coherence tomography.

Authors:  Sarah Cheng; Theodore Leng
Journal:  Clin Ophthalmol       Date:  2016-09-16
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.