Evidence map›Paper›PMID 34457420›Full record

ArticleBiomedical optics express2021

Identification and quantification of fibrotic areas in the human retina using polarization-sensitive OCT.

Alice R Motschi, Philipp K Roberts, Sylvia Desissaire, Markus Schranz, Florian Schwarzhans, Hrvoje Bogunović, Michael Pircher, Christoph K Hitzenberger

Open access · goldAbstract read
In one paragraph

Article in Biomedical optics express, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 14% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Imaging biomarkers and artificial intelligence for diagnosis, prediction, and therapy of macular fibrosis in age-related macular degeneration: Narrative review and future directions.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2025
    Review
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  10. Observational
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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

8 authors at 1 institution in 1 country.

Alice R MotschiCenter for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.
Philipp K RobertsDepartment of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria.
Sylvia DesissaireCenter for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.
Markus SchranzDepartment of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria.
Florian SchwarzhansCenter for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0002-1413-4574
Hrvoje BogunovićChristian Doppler Laboratory for Ophthalmic Image Analysis, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0002-9168-0894
Michael PircherCenter for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0001-9285-7527
Christoph K HitzenbergerCenter for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0002-6608-8821
Medical University of Vienna · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Subretinal fibrosis is one of the most prevalent causes of blindness in the elderly population, but a true gold standard to objectively diagnose fibrosis is still lacking. Since fibrotic tissue is birefringent, it can be detected by polarization-sensitive optical coherence tomography (PS-OCT). We present a new algorithm to automatically detect, segment, and quantify fibrotic lesions within 3D data sets recorded by PS-OCT. The algorithm first compensates for the birefringence of anterior ocular tissues and then uses the uniformity of the birefringent optic axis as an indicator to identify fibrotic tissue, which is then segmented and quantified. The algorithm was applied to 3D volumes recorded in 57 eyes of 57 patients with neovascular age-related macular degeneration using a spectral domain PS-OCT system. The results of fibrosis detection were compared to the clinical diagnosis based on color fundus photography (CFP), and the precision of fibrotic area measurement was assessed by three repeated measurements in a sub-set of 15 eyes. The average standard deviation of the fibrotic area obtained in eyes with a lesion area > 0.7 mm

Identifiers

PMID34457420
PMCPMC8367236
OpenAlexW3174940664

What OpenQuestion holds

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LicenceCC BY
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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.