Evidence map›Paper›PMID 27282161›Full record

ArticleLasers in medical science2016

Assessment of edema volume in skin upon injury in a mouse ear model with optical coherence tomography.

Wan Qin, Ruikang K Wang

Open access · greenAbstract read
In one paragraph

Article in Lasers in medical science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 37% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
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  3. Review
  4. 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

2 authors at 1 institution in 1 country.

Wan QinDepartment of Bioengineering, University of Washington, Seattle, WA, 98195, USA.
Ruikang K WangDepartment of Bioengineering, University of Washington, Seattle, WA, 98195, USA. wangrk@uw.edu.
University of Washington · US

Funding

OPTICAL MICROANGIOGRAHY OF CEREBROVASCULAR PERFUSIONR01HL093140 · NHLBI · UNIVERSITY OF WASHINGTON · PI WANG, RUIKANG · 2008 to 2017
$4.2M
Label-free optical imaging of 3D structural and functional microcirculationsR01EB009682 · NIBIB · UNIVERSITY OF WASHINGTON · PI WANG, RUIKANG · 2009 to 2012
$1.7M
NHLBI NIH HHS R01 HL093140NIBIB NIH HHS R01 EB009682
6 · The paper itself

Abstract

Accurate measurement of edema volume is essential for the investigation of tissue response and recovery following a traumatic injury. The measurements must be noninvasive and repetitive over time so as to monitor tissue response throughout the healing process. Such techniques are particularly necessary for the evaluation of therapeutics that are currently in development to suppress or prevent edema formation. In this study, we propose to use optical coherence tomography (OCT) technique to image and quantify edema in a mouse ear model where the injury is induced by a superficial-thickness burn. Extraction of edema volume is achieved by an attenuation compensation algorithm performed on the three-dimensional OCT images, followed by two segmentation procedures. In addition to edema volume, the segmentation method also enables accurate thickness mapping of edematous tissue, which is an important characteristic of the external symptoms of edema. To the best of our knowledge, this is the first method for noninvasively measuring absolute edema volume.

Indexed as

AngiographyAnimalsBurnsDisease Models, AnimalEarEdemaHeart FailureImaging, Three-DimensionalMiceSignal Processing, Computer-AssistedSkinTomography, Optical CoherenceWound HealingEdema assessmentOptical coherence tomographyOptical microangiography

Identifiers

PMID27282161
PMCPMC5287999
OpenAlexW2415289361

What OpenQuestion holds

Textmetadata
LicenceTDM
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.