Evidence map›Paper›PMID 29249978›Full record

ArticleFrontiers in physiology2017

Prediction of Scar Size in Rats Six Months after Burns Based on Early Post-injury Polarization-Sensitive Optical Frequency Domain Imaging.

Eli Kravez, Martin Villiger, Brett Bouma, Martin Yarmush, Zohar Yakhini, Alexander Golberg

Abstract read
In one paragraph

Article in Frontiers in physiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

6 authors.

Eli KravezSchool of Computer Science, Interdisciplinary Center Herzliya, Herzliya, Israel.
Martin VilligerWellman Center for Photomedicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Brett BoumaWellman Center for Photomedicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Martin YarmushDepartment of Surgery, Center for Engineering in Medicine, Massachusetts General Hospital, Shriners Burns Hospital for Children, Harvard Medical School, Boston, MA, United States.
Zohar YakhiniSchool of Computer Science, Interdisciplinary Center Herzliya, Herzliya, Israel.
Alexander GolbergDepartment of Surgery, Center for Engineering in Medicine, Massachusetts General Hospital, Shriners Burns Hospital for Children, Harvard Medical School, Boston, MA, United States.

Funding

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

Abstract

Hypertrophic scars remain a major clinical problem in the rehabilitation of burn survivors and lead to physical, aesthetic, functional, psychological, and social stresses. Prediction of healing outcome and scar formation is critical for deciding on the best treatment plan. Both subjective and objective scales have been devised to assess scar severity. Whereas scales of the first type preclude cross-comparison between observers, those of the second type are based on imaging modalities that either lack the ability to image individual layers of the scar or only provide very limited fields of view. To overcome these deficiencies, this work aimed at developing a predictive model of scar formation based on polarization sensitive optical frequency domain imaging (PS-OFDI), which offers comprehensive subsurface imaging. We report on a linear regression model that predicts the size of a scar 6 months after third-degree burn injuries in rats based on early post-injury PS-OFDI and measurements of scar area. When predicting the scar area at month 6 based on the homogeneity and the degree of polarization (DOP), which are signatures derived from the PS-OFDI signal, together with the scar area measured at months 2 and 3, we achieved predictions with a Pearson coefficient of 0.57 (

Indexed as

burn injuryoptical coherence tomographyscars size predictionskin imagingwound healing diagnosis

Identifiers

PMID29249978
PMCPMC5717021

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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.