Evidence map›Paper›PMID 30429502›Full record

ArticleScientific reports2018

Improving visualization and quantitative assessment of choriocapillaris with swept source OCTA through registration and averaging applicable to clinical systems.

Zhongdi Chu, Hao Zhou, Yuxuan Cheng, Qinqin Zhang, Ruikang K Wang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
6.1field-weighted citation impact, top 3% 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

43 citing papers in PubMed, 66 citations in OpenAlex.

  1. Article
  2. Article
  3. Observational
  4. Quantification of Normative Human Choriocapillaris Measures Across the Macula.Investigative ophthalmology & visual science · 2025
    Article
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  18. Choriocapillaris Changes in Myopic Macular Degeneration.Translational vision science & technology · 2022
    Article
  19. Article
  20. Observational
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

5 authors at 1 institution in 1 country.

Zhongdi ChuDepartment of Bioengineering, University of Washington, Seattle, Washington, USA.ORCID http://orcid.org/0000-0001-7430-5032
Hao ZhouDepartment of Bioengineering, University of Washington, Seattle, Washington, USA.
Yuxuan ChengDepartment of Bioengineering, University of Washington, Seattle, Washington, USA.
Qinqin ZhangDepartment of Bioengineering, University of Washington, Seattle, Washington, USA.
Ruikang K WangDepartment of Bioengineering, University of Washington, Seattle, Washington, USA. wangrk@uw.edu.
University of Washington · US

Funding

Ultra-wide field optical coherence tomography based angiography for imaging diabetic retinopathyR01EY028753 · NEI · UNIVERSITY OF WASHINGTON · PI WANG, RUIKANG · 2018 to 2021
$2.2M
NON-INVASIVE REAL-TIME LABEL-FREE 3D IMAGING OF RETINAL MICROCIRCULATIONR01EY024158 · NEI · UNIVERSITY OF WASHINGTON · PI WANG, RUIKANG · 2014 to 2017
$1.7M
NEI NIH HHS R01 EY024158NEI NIH HHS R01 EY028753
6 · The paper itself

Abstract

Choriocapillaris (CC) visualization and quantification remains challenging. We propose an innovative three-step registration and averaging approach using repeated swept source optical coherence tomography angiography (SS-OCTA) scans to conduct automatic quantitative assessment on CC. Six subjects were enrolled, each imaged at several locations with SS-OCTA from macular to equatorial regions using 3 mm × 3 mm scanning pattern. Five repeated volumes were collected for each subject. The complex optical microangiography (OMAG) algorithm was applied to identify blood flow in CC slab. An automatic three-step registration of translation, affine and B-Spline was applied to en face OCTA images of CC, followed with averaging. A fuzzy clustering approach was used to segment vasculature and flow deficits from the averaged images. The improvement in visualization of CC was evaluated and the average intercapillary distance was estimated by calculating the averaged capillary lumen spacing. A series of quantitative indices of flow deficit density, number, size, complexity index and aspect ratio index (FDD, FDN, FDS, FDCI and FDARI) were designed and validated with the increase of repeated scan numbers for averaging. Quantitative assessment was applied and compared on CC in macular and equatorial regions. The intercapillary distance was observed to be around 24 µm at macula and increased toward equatorial regions. All five quantitative indices (FDD, FDN, FDS, FDCI and FDARI) showed significant changes with multiple averaging and tend to become stable with repeated number of 4. Our proposed registration and averaging algorithm significantly improved the visualization of CC with SS-OCTA. The designed five indices for CC provide more options in the quantitative assessment of CC and are of great potentials in assisting the understanding of disease pathology, early diagnosis and treatment monitoring.

Indexed as

Image Interpretation, Computer-AssistedAdultAgedAlgorithmsCapillariesChoroidComputed Tomography AngiographyEye DiseasesFemaleHumansImaging, Three-DimensionalMaleMiddle AgedRegional Blood FlowTomography, Optical Coherence

Identifiers

PMID30429502
PMCPMC6235855
OpenAlexW2899792928

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.