Evidence map›Paper›PMID 25604545›Full record

ArticleJournal of biomedical optics2015

Multimodal imaging of cutaneous wound tissue.

Shiwu Zhang, Surya Gnyawali, Jiwei Huang, Wenqi Ren, Gayle Gordillo, Chandan K Sen, Ronald Xu

Open access · bronzeAbstract read
In one paragraph

Article in Journal of biomedical optics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
2.4field-weighted citation impact, top 12% 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Diabetic Foot Ulcer Imaging: An Overview and Future Directions.Journal of diabetes science and technology · 2023
    Review
  5. Imaging in Chronic Wound Diagnostics.Advances in wound care · 2020
    Review
  6. Article
  7. 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

7 authors at 2 institutions in 2 countries.

Shiwu ZhangUniversity of Science and Technology of China, School of Engineering Science, Hefei 230026, ChinabThe Ohio State University, Department of Biomedical Engineering, Columbus, Ohio 43210, United States.
Surya GnyawaliThe Ohio State University, Department of Surgery, Columbus, Ohio 43210, United States.
Jiwei HuangThe Ohio State University, Department of Biomedical Engineering, Columbus, Ohio 43210, United States.
Wenqi RenUniversity of Science and Technology of China, School of Engineering Science, Hefei 230026, China.
Gayle GordilloThe Ohio State University, Department of Surgery, Columbus, Ohio 43210, United States.
Chandan K SenThe Ohio State University, Department of Surgery, Columbus, Ohio 43210, United States.
Ronald XuUniversity of Science and Technology of China, School of Engineering Science, Hefei 230026, ChinabThe Ohio State University, Department of Biomedical Engineering, Columbus, Ohio 43210, United States.
The Ohio State University · USUniversity of Science and Technology of China · CN

Funding

Redox Control of Wound HealingR01GM069589 · NIGMS · OHIO STATE UNIVERSITY · PI SEN, CHANDAN K · 2004 to 2013
$2.3M
Tissue Oxygenation and Wound HealingR01GM077185 · NIGMS · OHIO STATE UNIVERSITY · PI SEN, CHANDAN K · 2007 to 2016
$2.3M
Biofilms and Immunity in Chronic WoundsR01NR013898 · NINR · OHIO STATE UNIVERSITY · PI SEN, CHANDAN K, WOZNIAK, DANIEL J · 2012 to 2016
$2.1M
Mechanisms underlying impaired diabetic wound healingR01DK076566 · NIDDK · OHIO STATE UNIVERSITY · PI ROY, SASHWATI · 2008 to 2011
$1.2M
Mechanisms underlying impaired diabetic wound healingR56DK076566 · NIDDK · OHIO STATE UNIVERSITY · PI ROY, SASHWATI · 2016 to 2016
$347k
NIDDK NIH HHS NIH DK076566NIDDK NIH HHS R01 DK076566NIDDK NIH HHS R56 DK076566NIGMS NIH HHS GM069589NIGMS NIH HHS GM077185NIGMS NIH HHS R01 GM069589NIGMS NIH HHS R01 GM077185NINR NIH HHS NR013898NINR NIH HHS R01 NR013898
6 · The paper itself

Abstract

Quantitative assessment of wound tissue ischemia, perfusion, and inflammation provides critical information for appropriate detection, staging, and treatment of chronic wounds. However, few methods are available for simultaneous assessment of these tissue parameters in a noninvasive and quantitative fashion. We integrated hyperspectral, laser speckle, and thermographic imaging modalities in a single-experimental setup for multimodal assessment of tissue oxygenation, perfusion, and inflammation characteristics. Algorithms were developed for appropriate coregistration between wound images acquired by different imaging modalities at different times. The multimodal wound imaging system was validated in an occlusion experiment, where oxygenation and perfusion maps of a healthy subject's upper extremity were continuously monitored during a postocclusive reactive hyperemia procedure and compared with standard measurements. The system was also tested in a clinical trial where a wound of three millimeters in diameter was introduced on a healthy subject's lower extremity and the healing process was continuously monitored. Our in vivo experiments demonstrated the clinical feasibility of multimodal cutaneous wound imaging.

Indexed as

AlgorithmsEquipment DesignHumansMultimodal ImagingOxygenPerfusion ImagingSkinThermographyWound HealingOxygen

Identifiers

PMID25604545
PMCPMC4300315
OpenAlexW2026427014

What OpenQuestion holds

Textmetadata
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.