Evidence map›Paper›PMID 33369310›Full record

ArticleJournal of biomedical optics2020

Effects of lipid composition on photothermal optical coherence tomography signals.

Mohammadhossein Salimi, Martin Villiger, Nima Tabatabaei

Abstract readLetter
In one paragraph

Article in Journal of biomedical optics, 2020. 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
–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

8 citing papers in PubMed.

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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

3 authors.

Mohammadhossein SalimiYork University, Lassonde School of Engineering, Department of Mechanical Engineering, Toronto, Canada.
Martin VilligerYork University, Lassonde School of Engineering, Department of Mechanical Engineering, Toronto, Canada.
Nima TabatabaeiYork University, Lassonde School of Engineering, Department of Mechanical Engineering, Toronto, Canada.

Funding

TRD3: Percutaneous and Interstitial ImagingP41EB015903 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI Brett E Bouma · 2012 to 2026
$22.4M
NIBIB NIH HHS P41 EB015903
6 · The paper itself

Abstract

significancePhotothermal optical coherence tomography (PT-OCT) has the promise to offer structural images coregistered with chemical composition information, which can offer a significant impact in early detection of diseases such as atherosclerosis.

aimWe take the first step in understanding the relation between PT-OCT signals and the endogenous tissue composition by considering the interplay between the opto-thermo-physical properties of tissue as a function of its lipid composition and the ensuing effects on the PT-OCT signals. APPROACH: Multiparameter theoretical estimates for PT-OCT signal as a function of composition in a two-component lipid-water model are derived and discussed. Experimental data from various concentrations of lipid in the form of droplets and injections under bovine cardiac muscle align with theoretical predictions.

resultsTheoretical and experimental results suggest that the variations of heat capacity and mass density with tissue composition significantly contribute to the amount of optical path length difference measured by OCT phase.

conclusionPT-OCT has the potential to offer key insights into the chemical composition of the subsurface lipid pools in tissue; however, the interpretation of results needs to be carried out by keeping the nonlinear interplay between the tissue of opto-thermo-physical properties and PT-OCT signals in mind.

Indexed as

AtherosclerosisTomography, Optical CoherenceAnimalsCattleLipidsLipidsatherosclerosislipidmolecular contrast imagingoptical coherence tomographyphotothermal optical coherence tomographyphotothermal phenomena

Identifiers

PMID33369310
PMCPMC7757902

What OpenQuestion holds

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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.