Evidence map›Paper›PMID 30783832›Full record

ArticleAnnals of biomedical engineering2019

Non-Destructive Reflectance Mapping of Collagen Fiber Alignment in Heart Valve Leaflets.

Will Goth, Sam Potter, Alicia C B Allen, Janet Zoldan, Michael S Sacks, James W Tunnell

Abstract read
In one paragraph

Article in Annals of biomedical engineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

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  14. Biology and Biomechanics of the Heart Valve Extracellular Matrix.Journal of cardiovascular development and disease · 2020
    Review
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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

6 authors.

Will GothDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA.ORCID http://orcid.org/0000-0003-3544-7227
Sam PotterDepartment of Mechanical Engineering, The University of Texas at Austin, Austin, TX, USA.
Alicia C B AllenDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA.
Janet ZoldanDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA.
Michael S SacksDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA.
James W TunnellDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA. jtunnell@mail.utexas.edu.

Funding

Comprehensive Training Program in Imaging Science and InformaticsT32EB007507 · NIBIB · UNIVERSITY OF TEXAS AT AUSTIN · PI MARKEY, MIA K, RYLANDER, HENRY GRADY · 2009 to 2024
$2.7M
Design and Simulation of Valvular Replacement BiomaterialsR01HL108330 · NHLBI · UNIVERSITY OF TEXAS AT AUSTIN · PI GORMAN, JOSEPH H, SACKS, MICHAEL S · 2012 to 2015
$2.3M
Novel Simulation Technologies for BHV Long-Term DurabilityR01HL129077 · NHLBI · UNIVERSITY OF TEXAS AT AUSTIN · PI HUGHES, THOMAS J., MANNING, KEEFE B · 2016 to 2019
$2.1M
Cancer Prevention and Research Institute of Texas RP-130702National Heart, Lung, and Blood Institute RO1-HL108330National Heart, Lung, and Blood Institute RO1-HL129077National Institute of Biomedical Imaging and Bioengineering T32-EB007505NHLBI NIH HHS R01 HL108330NHLBI NIH HHS R01 HL129077NIBIB NIH HHS T32 EB007507
6 · The paper itself

Abstract

Collagen fibers are the primary structural elements that define many soft-tissue structure and mechanical function relationships, so that quantification of collagen organization is essential to many disciplines. Current tissue-level collagen fiber imaging techniques remain limited in their ability to quantify fiber organization at macroscopic spatial scales and multiple time points, especially in a non-contacting manner, requiring no modifications to the tissue, and in near real-time. Our group has previously developed polarized spatial frequency domain imaging (pSFDI), a reflectance imaging technique that rapidly and non-destructively quantifies planar collagen fiber orientation in superficial layers of soft tissues over large fields-of-view. In this current work, we extend the light scattering models and image processing techniques to extract a critical measure of the degree of collagen fiber alignment, the normalized orientation index (NOI), directly from pSFDI data. Electrospun fiber samples with architectures similar to many collagenous soft tissues and known NOI were used for validation. An inverse model was then used to extract NOI from pSFDI measurements of aortic heart valve leaflets and clearly demonstrated changes in degree of fiber alignment between opposing sides of the sample. These results show that our model was capable of extracting absolute measures of degree of fiber alignment in superficial layers of heart valve leaflets with only general a priori knowledge of fiber properties, providing a novel approach to rapid, non-destructive study of microstructure in heart valve leaflets using a reflectance geometry.

Indexed as

Stress, MechanicalTensile StrengthAnimalsAortic ValveCollagenExtracellular MatrixSheepCollagenCollagen fiber structureCylindrical scatteringOptical sectioningPolarized light imagingStructured illuminationWide-field reflectance imaging

Identifiers

PMID30783832
PMCPMC6456388

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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.