| Title |
Noninvasive detection of microaneurysms in diabetic retinopathy by swept-source optical coherence tomography
|
|---|---|
| Published in |
Clinical Ophthalmology, September 2016
|
| DOI | 10.2147/opth.s115016 |
| Pubmed ID | |
| Authors |
Sarah Cheng, Theodore Leng |
| Abstract |
A method of identifying retinal vascular microaneurysms (MAs) in nonproliferative diabetic retinopathy (NPDR) using swept-source optical coherence tomography (SS-OCT). SS-OCT images were acquired in 17 eyes with NPDR using prototype SS-OCT device and fluorescein angiography (FA) images were obtained simultaneously. MAs identified on SS-OCT slabs were correlated to MAs identified on FA. MAs were identified in SS-OCT slabs in 15/17 eyes, resulting in NPDR diagnosis rate of 88%. Mean number of MAs identified on FA was 11.7±11.9 (total 199) and was 8.1±9.3 (total 137) on SS-OCT. Wilcoxon rank sum test showed no significant difference in MAs detected on SS-OCT and FA (P=0.2995) across eyes. Wilcoxon rank sum test showed SS-OCT detected slightly fewer MAs than FA per eye (3.65 less, P=0.0009). SS-OCT visualization of MAs could serve as a tool for diagnosing NPDR, and possibly applied as an imaging biomarker for population-based diabetic retinopathy screening. |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 2 | 14% |
| Lecturer > Senior Lecturer | 1 | 7% |
| Unspecified | 1 | 7% |
| Student > Bachelor | 1 | 7% |
| Professor | 1 | 7% |
| Other | 3 | 21% |
| Unknown | 5 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 43% |
| Nursing and Health Professions | 2 | 14% |
| Agricultural and Biological Sciences | 1 | 7% |
| Unspecified | 1 | 7% |
| Unknown | 4 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 November 2016.
All research outputs
#20,656,820
of 25,374,647 outputs
Outputs from Clinical Ophthalmology
#2,605
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Outputs of similar age
#271,799
of 348,376 outputs
Outputs of similar age from Clinical Ophthalmology
#56
of 87 outputs
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