Evidence map›Paper›PMID 26062663›Full record

ArticleJournal of biomedical optics2015

En face Doppler total retinal blood flow measurement with 70 kHz spectral optical coherence tomography.

Ou Tan, Gangjun Liu, Liu Liang, Simon S Gao, Alex D Pechauer, Yali Jia, David Huang

Open access · bronzeAbstract read
In one paragraph

Article in Journal of biomedical optics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.1field-weighted citation impact, top 9% 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

20 citing papers in PubMed, 33 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Variability of Retinal Oxygen Metrics in Healthy and Diabetic Subjects.Translational vision science & technology · 2021
    Article
  7. Article
  8. Quantitative optical coherence tomography angiography: A review.Experimental biology and medicine (Maywood, N.J.) · 2020
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Glaucoma: the retina and beyond.Acta neuropathologica · 2016
    Review
  16. Article
  17. Optical Coherence Tomography Angiography.Investigative ophthalmology & visual science · 2016
    Review
  18. Review
  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

7 authors at 1 institution in 1 country.

Ou Tan
Gangjun Liu
Liu Liang
Simon S Gao
Alex D Pechauer
Yali Jia
David Huang
Oregon Health & Science University · US

Funding

Proteomics CoreP30EY010572 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI Kate E Keller · 1995 to 2026
$19.4M
Functional and Structural Optical Coherence Tomography for GlaucomaR01EY023285 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI David Huang · 2013 to 2026
$8.8M
OCT Angiography for Neovascular Age-related Macular DegenerationR01EY024544 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI Steven T Bailey, Yali Jia · 2014 to 2026
$6.2M
Translational Vision Science Research at Oregon Health & Science UniversityT32EY023211 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI Yali Jia, Kate E Keller · 2013 to 2026
$2.4M
Functional Optical Coherence Tomography-derived Biomarkers for Diabetic RetinopathyDP3DK104397 · NIDDK · OREGON HEALTH & SCIENCE UNIVERSITY · PI JIA, YALI, WILSON, DAVID J · 2014 to 2014
$1.0M
NEI NIH HHS P30 EY010572NEI NIH HHS R01 EY023285NEI NIH HHS R01 EY024544NEI NIH HHS T32 EY023211NIDDK NIH HHS DP3 DK104397
6 · The paper itself

Abstract

An automated algorithm was developed for total retinal blood flow (TRBF) using 70-kHz spectral optical coherence tomography (OCT). The OCT was calibrated for the transformation from Doppler shift to speed based on a flow phantom. The TRBF scan pattern contained five repeated volume scans (2 x 2 mm) obtained in 3 s and centered on central retinal vessels in the optic disc. The TRBF was calculated using an en face Doppler technique. For each retinal vein, blood flow was measured at an optimal plane where the calculated flow was maximized. The TRBF was calculated by summing flow in all veins. The algorithm tracked vascular branching so that either root or branch veins are summed, but never both. The TRBF in five repeated volumes were averaged to reduce variation due to cardiac cycle pulsation. Finally, the TRBF was corrected for eye length variation. Twelve healthy eyes and 12 glaucomatous eyes were enrolled to test the algorithm. The TRBF was 45.4 ± 6.7 μl/min for healthy control and 34.7 ± 7.6 μl/min for glaucomatous participants (p-value = 0.01). The intravisit repeatability was 8.6% for healthy controls and 8.4% for glaucoma participants. The proposed automated method provided repeatable TRBF measurement.

Indexed as

AdultAgedAlgorithmsBlood Flow VelocityDoppler EffectGlaucomaHumansImage Processing, Computer-AssistedMiddle AgedPhantoms, ImagingRetinal VesselsTomography, Optical Coherence

Identifiers

PMID26062663
PMCPMC4462711
OpenAlexW1876724928

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.