Evidence map›Paper›PMID 28617922›Full record

ArticleJournal of biomedical optics2017

Automated circumferential construction of first-order aqueous humor outflow pathways using spectral-domain optical coherence tomography.

Alex S Huang, Akram Belghith, Anna Dastiridou, Vikas Chopra, Linda M Zangwill, Robert N Weinreb

Abstract read
In one paragraph

Article in Journal of biomedical optics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–field-weighted citation impact
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

26 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Frontiers in physiology · 2023
    Article
  10. Characterization of the human iridocorneal angleBiomedical optics express · 2022
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Observational
  19. Article
  20. 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

6 authors.

Alex S HuangDoheny Eye Institute, Los Angeles, California, United StatesbDoheny Eye Centers, Department of Ophthalmology, David Geffen School of Medicine at UCLA, Los Angeles, California, United States.
Akram BelghithShiley Eye Institute and Hamilton Glaucoma Center, Department of Ophthalmology University of California, San Diego, California, United States.
Anna DastiridouDoheny Eye Centers, Department of Ophthalmology, David Geffen School of Medicine at UCLA, Los Angeles, California, United States.
Vikas ChopraDoheny Eye Institute, Los Angeles, California, United StatesbDoheny Eye Centers, Department of Ophthalmology, David Geffen School of Medicine at UCLA, Los Angeles, California, United States.
Linda M ZangwillShiley Eye Institute and Hamilton Glaucoma Center, Department of Ophthalmology University of California, San Diego, California, United States.
Robert N WeinrebShiley Eye Institute and Hamilton Glaucoma Center, Department of Ophthalmology University of California, San Diego, California, United States.

Funding

Vision BiostatisticsP30EY022589 · NEI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Derek Stuart Welsbie · 2012 to 2026
$10.3M
Discovery and Characterization of Anterior Sclera Pathology in GlaucomaK08EY024674 · NEI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HUANG, ALEX · 2014 to 2018
$1.1M
NEI NIH HHS K08 EY024674NEI NIH HHS P30 EY022589
6 · The paper itself

Abstract

The purpose was to create a three-dimensional (3-D) model of circumferential aqueous humor outflow (AHO) in a living human eye with an automated detection algorithm for Schlemm’s canal (SC) and first-order collector channels (CC) applied to spectral-domain optical coherence tomography (SD-OCT). Anterior segment SD-OCT scans from a subject were acquired circumferentially around the limbus. A Bayesian Ridge method was used to approximate the location of the SC on infrared confocal laser scanning ophthalmoscopic images with a cross multiplication tool developed to initiate SC/CC detection automated through a fuzzy hidden Markov Chain approach. Automatic segmentation of SC and initial CC’s was manually confirmed by two masked graders. Outflow pathways detected by the segmentation algorithm were reconstructed into a 3-D representation of AHO. Overall, only <1% of images (5114 total B-scans) were ungradable. Automatic segmentation algorithm performed well with SC detection 98.3% of the time and <0.1% false positive detection compared to expert grader consensus. CC was detected 84.2% of the time with 1.4% false positive detection. 3-D representation of AHO pathways demonstrated variably thicker and thinner SC with some clear CC roots. Circumferential (360 deg), automated, and validated AHO detection of angle structures in the living human eye with reconstruction was possible.

Indexed as

Tomography, Optical CoherenceAqueous HumorBayes TheoremEyeHumans

Identifiers

PMID28617922
PMCPMC5472236

What OpenQuestion holds

Textmetadata
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.