Evidence map›Paper›PMID 35774309›Full record

ArticleBiomedical optics express2022

Monte-Carlo simulation and tissue-phantom model for validation of ocular oximetry.

Cléophace Akitegetse, Patricia Landry, Jonathan Robidoux, Nicolas Lapointe, Danny Brouard, Dominic Sauvageau

Open access · goldAbstract read
In one paragraph

Article in Biomedical optics express, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

8 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Test-retest repeatability in macular retinal oximetry.Clinical & experimental optometry · 2024
    Article
  6. Article
  7. Targeted spectroscopy in the eye fundus.Journal of biomedical optics · 2023
    Article
  8. 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 at 2 institutions in 2 countries.

Cléophace AkitegetseZilia inc., Québec, QC, G1K 3G5, Canada.ORCID https://orcid.org/0000-0002-1494-6257
Patricia LandryAffaires médicales et innovation, Héma-Québec, Québec, QC, G1V 5C3, Canada.
Jonathan RobidouxAffaires médicales et innovation, Héma-Québec, Québec, QC, G1V 5C3, Canada.
Nicolas LapointeZilia inc., Québec, QC, G1K 3G5, Canada.
Danny BrouardAffaires médicales et innovation, Héma-Québec, Québec, QC, G1V 5C3, Canada.
Dominic SauvageauZilia inc., Québec, QC, G1K 3G5, Canada.
Universidade de Marília · BRUniversity of Alberta · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ocular oximetry, in which blood oxygen saturation is evaluated in retinal tissues, is a promising technique for the prevention, diagnosis and management of many diseases and conditions. However, the development of new tools for evaluating oxygen saturation in the eye fundus has often been limited by the lack of reference tools or techniques for such measurements. In this study, we describe a two-step validation method. The impact of scattering, blood volume fraction and lens yellowing on the oximetry model is investigated using a tissue phantom, while a Monte Carlo model of the light propagation in the eye fundus is used to study the effect of the fundus layered-structure. With this method, we were able to assess the performance of an ocular oximetry technique in the presence of confounding factors and to quantify the impact of the choroidal circulation on the accuracy of the measurements. The presented strategy will be useful to anyone involved in studies based on the eye fundus diffuse reflectance.

Identifiers

PMID35774309
PMCPMC9203094
OpenAlexW4223911607

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.