Evidence map›Paper›PMID 29038969›Full record

ArticleLasers in medical science2018

Microvascular imaging and monitoring of human oral cavity lesions in vivo by swept-source OCT-based angiography.

Wei Wei, Woo June Choi, Ruikang K Wang

Open access · greenAbstract read
In one paragraph

Article in Lasers in medical science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed, 28 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

3 authors at 1 institution in 1 country.

Wei WeiDepartment of Bioengineering, University of Washington, 3720 15th Ave NE, Seattle, WA, 98195, USA.
Woo June ChoiDepartment of Bioengineering, University of Washington, 3720 15th Ave NE, Seattle, WA, 98195, USA.
Ruikang K WangDepartment of Bioengineering, University of Washington, 3720 15th Ave NE, Seattle, WA, 98195, USA. wangrk@uw.edu.ORCID http://orcid.org/0000-0001-5169-8822
University of Washington · US

Funding

OPTICAL MICROANGIOGRAHY OF CEREBROVASCULAR PERFUSIONR01HL093140 · NHLBI · UNIVERSITY OF WASHINGTON · PI WANG, RUIKANG · 2008 to 2017
$4.2M
National Heart, Lung, and Blood Institute R01HL093140NHLBI NIH HHS R01 HL093140
6 · The paper itself

Abstract

We report the development of optical coherence tomography- (OCT) based angiography (OCTA) to image blood flow within microcirculatory tissue beds in human oral cavity in vivo with a field of view at 10 mm × 10 mm. Three-dimensional (3D) structural and vascular images of labial mucosa tissue are obtained at a single 3D acquisition. Pathologic mucosal sites with mouth ulcers are examined using the OCT tomograms and angiograms, upon which to monitor the lesion healing process over a period of 2 weeks. Quantitative metrics of the capillary loop density within the lamina propria layer are evaluated, providing statistically significant difference between healthy and diseased conditions over time. Furthermore, tissue anatomy and vessel morphology of other susceptible sites to ulcer, such as tongue, alveolar mucosa, and labial frenulum, are also imaged to demonstrate the promise of the proposed method as a clinically useful tool for the diagnosis and monitoring of therapeutic treatment of oral tissue abnormalities.

Indexed as

Imaging, Three-DimensionalAdultAngiographyDisease ProgressionHumansMaleMicrocirculationMicrovesselsMouth MucosaOral UlcerTomography, Optical CoherenceCapillary loop densityOCT angiographyOptical coherence tomography (OCT)Oral cavity vasculatureOral lesionSwept-source OCT

Identifiers

PMID29038969
PMCPMC5756691
OpenAlexW2765521606

What OpenQuestion holds

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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.