Evidence map›Paper›PMID 37531114›Full record

ArticleTranslational vision science & technology2023

Assessing the Sensitivity of OCT-A Retinal Vasculature Metrics.

Jacob Szpernal, Mina Gaffney, Rachel E Linderman, Christopher S Langlo, Katherine Hemsworth, Ashleigh Walesa, Brian P Higgins, Richard B Rosen, Toco Y P Chui, Joseph Carroll

Open access · goldAbstract read
In one paragraph

Article in Translational vision science & technology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Preferential Sites of Retinal Capillary Occlusion in Sickle Cell Disease.Investigative ophthalmology & visual science · 2025
    Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Jacob SzpernalSchool of Medicine, Medical College of Wisconsin, Milwaukee, WI, USA.
Mina GaffneyJoint Department of Biomedical Engineering, Marquette University and Medical College of Wisconsin, Milwaukee, WI, USA.
Rachel E LindermanDepartment of Cell Biology, Neurobiology, and Anatomy, Medical College of Wisconsin, Milwaukee, WI, USA.
Christopher S LangloDepartment of Ophthalmology and Visual Sciences, Medical College of Wisconsin, Milwaukee, WI, USA.
Katherine HemsworthDepartment of Ophthalmology and Visual Sciences, Medical College of Wisconsin, Milwaukee, WI, USA.
Ashleigh WalesaDepartment of Ophthalmology and Visual Sciences, Medical College of Wisconsin, Milwaukee, WI, USA.
Brian P HigginsDepartment of Ophthalmology and Visual Sciences, Medical College of Wisconsin, Milwaukee, WI, USA.
Richard B RosenNew York Eye and Ear Infirmary of Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Toco Y P ChuiNew York Eye and Ear Infirmary of Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Joseph CarrollJoint Department of Biomedical Engineering, Marquette University and Medical College of Wisconsin, Milwaukee, WI, USA.
Medical College of Wisconsin · USMarquette University · USNew York Eye and Ear Infirmary · US

Funding

Clinical and Translational Science AwardUL1TR001436 · NCATS · MEDICAL COLLEGE OF WISCONSIN · PI FREED, JULIE K · 2015 to 2025
$47.5M
Medical Scientist Training ProgramT32GM080202 · NIGMS · MEDICAL COLLEGE OF WISCONSIN · PI BARBIERI, JOSEPH T, SALZMAN, NITA H · 2010 to 2024
$5.7M
Rresearch Training Program in Vision ScienceT32EY014537 · NEI · MEDICAL COLLEGE OF WISCONSIN · PI Elena V Semina · 2002 to 2026
$4.2M
Characterization of vascular responses to intravitreal anti-VEGF injections in diabetic retinopathyR01EY027301 · NEI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Yuen Ping Toco Chui · 2017 to 2026
$4.0M
Retinal Contributions to Vision Loss in AlbinismR01EY033580 · NEI · MEDICAL COLLEGE OF WISCONSIN · PI CARROLL, JOSEPH · 2022 to 2025
$2.2M
VISION RES LAB: HERPETIC KERATIC, CORE PIGMENT GENES, RETINITIS PIGMENTOSAC06RR016511 · NCRR · MEDICAL COLLEGE OF WISCONSIN · PI DUNN, MICHAEL J · 2002 to 2002
$1.4M
NCATS NIH HHS UL1 TR001436NCRR NIH HHS C06 RR016511NEI NIH HHS R01 EY027301NEI NIH HHS R01 EY033580NEI NIH HHS T32 EY014537NIGMS NIH HHS T32 GM080202
6 · The paper itself

Abstract

Purpose: The purpose of this study was to examine the sensitivity of quantitative metrics of the retinal vasculature derived from optical coherence tomography angiography (OCT-A) images. Methods: Full retinal vascular slab OCT-A images were obtained from 94 healthy participants. Capillary loss, at 1% increments up to 50%, was simulated by randomly removing capillary segments (1000 iterations of randomized loss for each participant at each percent loss). Thirteen quantitative metrics were calculated for each image: foveal avascular zone (FAZ) area, vessel density, vessel complexity index (VCI), vessel perimeter index (VPI), fractal dimension (FD), and parafoveal intercapillary area (PICA) measurements with and without the FAZ (mean PICA, summed PICA, PICA regularity, and PICA standard deviation [PICA SD]). The sensitivity of each metric was calculated as the percent loss at which 80% of the iterations for a participant fell outside of two standard deviations from the sample's normative mean. Results: The most used OCT-A metrics, FAZ area and vessel density, were not significantly different from normative values until 27.69% and 16.00% capillary loss, respectively. Across the remaining metrics, metric sensitivity ranged from 6.37% (PICA SD without FAZ) to 39.78% (Summed PICA without FAZ). Conclusions: The sensitivity of vasculature metrics for detecting random capillary loss varies substantially. Further efforts simulating different patterns of capillary loss are needed for comparison. Additionally, mapping the repeatability of metrics over time in a normal population is needed to further define metric sensitivity. Translational Relevance: Quantitative metrics vary in their ability to detect vascular abnormalities in OCT-A images. Metric choice in screening studies will need to balance expected capillary abnormalities and the quality of the OCT-A images being used.

Indexed as

Macula LuteaTomography, Optical CoherenceFluorescein AngiographyHumansRetinal Vessels

Identifiers

PMID37531114
PMCPMC10405864
OpenAlexW4385477068

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.