↓ Skip to main content

CORRELATION OF MULTIMODAL IMAGING IN SICKLE CELL RETINOPATHY

Overview of attention for article published in Retina, December 2016
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

twitter
2 X users
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
CORRELATION OF MULTIMODAL IMAGING IN SICKLE CELL RETINOPATHY
Published in
Retina, December 2016
DOI 10.1097/iae.0000000000001230
Pubmed ID
Authors

Khalil Ghasemi Falavarjani, Adrienne W. Scott, Kang Wang, Ian C. Han, Xuejing Chen, Michael Klufas, Jean-Pierre Hubschman, Steven D. Schwartz, Srinivas R. Sadda, David Sarraf, Irena Tsui

Abstract

To correlate macular findings on spectral domain optical coherence tomography (SDOCT) and optical coherence tomography angiography (OCTA) with quantitative ischemic index calculations on ultra-wide-field fluorescein angiography (UWFFA) in patients with sickle cell retinopathy. In this retrospective case series, SDOCT, OCTA, and UWFFA images of patients with sickle cell retinopathy were evaluated. Eyes were staged based on the Goldberg classification of proliferative sickle cell retinopathy. Focal areas of macular thinning were assessed on SDOCT, macular vessel density was derived from OCTA, and peripheral ischemic index was calculated from UWFFA. Eighteen eyes of 10 patients were included. Mean age was 36.8 ± 16.8 years, and 6 patients (11 eyes) were SS, 3 patients (5 eyes) were SC, and 1 patient (2 eyes) was Sβ thalassemia in hemoglobin electrophoresis. Abnormal macular findings included inner retinal atrophy in 11 eyes (61%) on SDOCT, vascular remodeling and nonperfusion in the superficial and deep retinal capillary plexus in 12 eyes (67%) on OCTA, and macular microvascular abnormalities in 9 eyes (50%) on UWFFA. Sickle cell retinopathy Stage I was identified in 4 eyes (22.2%), Stage II in 8 eyes (44.4%), and Stage III in 6 eyes (33.3%). Mean ischemic index was 14.1 ± 9.1%. Ischemic index was significantly correlated with hemoglobinopathy subtype (23.7 ± 9.8%, 9.3 ± 5.4%, and 16.3 ± 3.2%, for SC, SS, and Sβ thalassemia disease, respectively), stage of sickle cell retinopathy (22.5 ± 9.2%, 12.5 ± 4.9%, and 4.5 ± 0.73% for Stages III, II, and I, respectively), and presence of retinal thinning on SDOCT (17.4 ± 9.7% vs. 8.8 ± 5.1%, respectively). Multimodal imaging can provide a more complete description of the microvascular and structural alterations associated with sickle retinopathy. The correlation between the severity of peripheral nonperfusion and stage and subtype of retinopathy suggests that UWF imaging may be a useful tool in the evaluation of these patients.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 09 August 2016.
All research outputs
#15,329,649
of 22,882,389 outputs
Outputs from Retina
#1,553
of 3,294 outputs
Outputs of similar age
#249,478
of 416,418 outputs
Outputs of similar age from Retina
#28
of 68 outputs
Altmetric has tracked 22,882,389 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,294 research outputs from this source. They receive a mean Attention Score of 2.4. This one has gotten more attention than average, scoring higher than 52% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 416,418 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 68 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.