| Title |
Optical coherence tomography parameters predictive of visual outcome after anti-VEGF therapy for retinal vein occlusion
|
|---|---|
| Published in |
Clinical Ophthalmology, July 2016
|
| DOI | 10.2147/opth.s110793 |
| Pubmed ID | |
| Authors |
Akiko Fujihara-Mino, Yoshinori Mitamura, Naoki Inomoto, Hiroki Sano, Kei Akaiwa, Kentaro Semba |
| Abstract |
To determine the optical coherence tomography (OCT) parameters that are predictive of visual outcome after anti-VEGF therapy for a retinal vein occlusion (RVO). Fifty-seven eyes with macular edema (ME) secondary to a central or branch RVO treated with bevacizumab or ranibizumab were studied. Spectral-domain OCT and microperimetry were performed before, 1, 3, and 6 months after the treatment and at the final visit. Central retinal thickness (CRT), macular volume (MV), integrity of the external limiting membrane (ELM), ellipsoid zone (EZ), and foveal bulge (FB), and photoreceptor outer segment (PROS) length were determined. The mean follow-up period was 17.8±11.5 months. In 46 of the 57 eyes, a resolution of the ME was achieved. The pretreatment CRT and MV, presence of intact ELM, EZ, and FB, and PROS length at the time of ME resolution were significantly correlated with the best-corrected visual acuity and retinal sensitivity at the final visit (P<0.050). Multiple regression analyses showed that the pretreatment MV had the highest correlation with the posttreatment best-corrected visual acuity and retinal sensitivity (P<0.050). The CRT, MV, ELM, EZ, FB, and PROS length are predictive factors for the visual outcome after anti-VEGF therapy for RVO. |
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 20% |
| Unknown | 4 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 1 | 20% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Romania | 1 | 3% |
| Unknown | 30 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 23% |
| Student > Master | 4 | 13% |
| Student > Ph. D. Student | 4 | 13% |
| Student > Bachelor | 3 | 10% |
| Student > Doctoral Student | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 9 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 58% |
| Nursing and Health Professions | 2 | 6% |
| Computer Science | 1 | 3% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Physics and Astronomy | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 7 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 August 2016.
All research outputs
#8,535,684
of 25,374,917 outputs
Outputs from Clinical Ophthalmology
#820
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Outputs of similar age
#132,443
of 367,263 outputs
Outputs of similar age from Clinical Ophthalmology
#24
of 83 outputs
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