| Title |
Clinical applications of optical coherence tomography in the posterior pole: the 2011 José Manuel Espino Lecture – Part II
|
|---|---|
| Published in |
Clinical Ophthalmology, November 2013
|
| DOI | 10.2147/opth.s51158 |
| Pubmed ID | |
| Authors |
J Fernando Arevalo, Andres F Lasave, Juan D Arias, Martin A Serrano, Fernando A Arevalo |
| Abstract |
Optical coherence tomography (OCT) is a high-resolution, cross-sectional imaging technique that allows detailed assessment of retinal thickness and morphologic evaluation of the retinal layers. This technology has developed quickly over the past two decades. OCT imaging has rapidly been integrated into routine ophthalmic clinical practice and trials. It has complemented fluorescein angiography in many instances, especially in the diagnosis and management of retinal disorders, including diabetic macular edema and age-related macular degeneration. With OCT, the exact localization of pathologic features can be visualized in segmentation maps of the retina, and this has allowed OCT to be used to evaluate specific features that may serve as predictive factors in the prognosis and follow up of these pathologies. Therefore, it has become an important clinical and research tool for the diagnosis, follow up, treatment, and assessment of new treatment modalities for all diseases that affect the posterior pole of the eye. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 4 | 11% |
| Student > Postgraduate | 4 | 11% |
| Researcher | 4 | 11% |
| Student > Bachelor | 3 | 9% |
| Student > Master | 3 | 9% |
| Other | 10 | 29% |
| Unknown | 7 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 20 | 57% |
| Biochemistry, Genetics and Molecular Biology | 3 | 9% |
| Nursing and Health Professions | 2 | 6% |
| Computer Science | 1 | 3% |
| Physics and Astronomy | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 7 | 20% |
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 08 November 2013.
All research outputs
#20,653,708
of 25,371,288 outputs
Outputs from Clinical Ophthalmology
#2,605
of 3,712 outputs
Outputs of similar age
#170,732
of 226,632 outputs
Outputs of similar age from Clinical Ophthalmology
#33
of 65 outputs
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