Evidence map›Paper›PMID 27111090›Full record

ArticleScanning2016

Quantitative differentiation of normal and scarred tissues using second-harmonic generation microscopy.

Murat Yildirim, Kyle P Quinn, James B Kobler, Steven M Zeitels, Irene Georgakoudi, Adela Ben-Yakar

Open access · bronzeAbstract read
In one paragraph

Article in Scanning, 2016. 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
1.4field-weighted citation impact, top 19% 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, 17 citations in OpenAlex.

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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 at 5 institutions in 1 country.

Murat YildirimDepartment of Mechanical Engineering, The University of Texas at Austin, Austin, Texas.
Kyle P QuinnDepartment of Biomedical Engineering, Tufts University, Medford, Massachusetts.
James B KoblerDepartment of Surgery, Harvard Medical School, Center for Laryngeal Surgery and Voice Rehabilitation, Massachusetts General Hospital, Boston, Massachusetts.
Steven M ZeitelsDepartment of Surgery, Harvard Medical School, Center for Laryngeal Surgery and Voice Rehabilitation, Massachusetts General Hospital, Boston, Massachusetts.
Irene GeorgakoudiDepartment of Biomedical Engineering, Tufts University, Medford, Massachusetts.
Adela Ben-YakarDepartment of Mechanical Engineering, The University of Texas at Austin, Austin, Texas.
The University of Texas at Austin · USHarvard University · USMassachusetts General Hospital · USTufts University · USUniversity of Arkansas at Fayetteville · US

Funding

Ultrafast Laser Phonosurgery for Biomaterial Localization in Scarred Vocal FoldsR01DC014783 · NIDCD · UNIVERSITY OF TEXAS AT AUSTIN · PI BEN-YAKAR, ADELA · 2016 to 2020
$2.3M
Non-invasive label-free quantitative imaging for chronic wound characterizationK99EB017723 · NIBIB · TUFTS UNIVERSITY MEDFORD · PI QUINN, KYLE PATRICK · 2014 to 2014
$78k
NIBIB NIH HHS K99 EB017723NIDCD NIH HHS R01 DC014783
6 · The paper itself

Abstract

The aim of this study was to differentiate normal and scarred hamster cheek pouch samples by applying a quantitative image analysis technique for determining collagen fiber direction and density in second-harmonic generation microscopy images. This paper presents a collagen tissue analysis of scarred cheek pouches of four adult male Golden Syrian hamsters as an animal model for vocal fold scarring. One cheek pouch was scarred using an electrocautery unit and the other cheek was used as a control for each hamster. A home-built upright microscope and a compact ultrafast fiber laser were used to acquire depth resolved epi-collected second-harmonic generation images of collagen fibers. To quantify the average fiber direction and fiber density in each image, we applied two-dimensional Fourier analysis and intensity thresholding at five different locations for each control and scarred tissue sample, respectively. The resultant depth-resolved average fiber direction variance for scarred hamster cheek pouches (0.61 ± 0.03) was significantly lower (p < 0.05) than control tissue (0.73 ± 0.04), indicating increased fiber alignment within the scar. Depth-resolved average voxel density measurements indicated scarred tissues contained greater (p < 0.005) fiber density (0.72 ± 0.09) compared to controls (0.18 ± 0.03). In the present study, image analysis of both fiber alignment and density from depth-resolved second-harmonic generation images in epi-detection mode enabled the quantification of the increased collagen fiber deposition and alignment typically observed in fibrosis. The epi-detection geometry is the only viable method for in vivo imaging as well as imaging thick turbid tissues. These quantitative endpoints, clearly differentiating between control and scarred hamster cheek pouches, provide an objective means to characterize the extent of vocal fold scarring in vivo in preclinical and clinical research. In particular, this non-invasive method offers advantages for monitoring scar treatments in live animals and following the effects of scarring-related treatments such as application of steroids or drugs targeting pathways involved in fibrosis. SCANNING 38:684-693, 2016. © 2016 Wiley Periodicals, Inc.

Indexed as

AnimalsCheekCicatrixCollagenCricetinaeMaleMesocricetusMicroscopyCollagencollagen fiber alignmentcollagen fiber densityFourier transformhamster cheek pouchimage analysisscar remodelingsecond-harmonic generation microscopyultrafast fiber lasersvocal fold scarring

Identifiers

PMID27111090
PMCPMC6050009
OpenAlexW2344490643

What OpenQuestion holds

Textmetadata
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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.