Evidence map›Paper›PMID 31498406›Full record

ArticleMilitary medicine2020

Noncontact Speckle Contrast Diffuse Correlation Tomography of Blood Flow Distributions in Burn Wounds: A Preliminary Study.

Mingjun Zhao, Siavash Mazdeyasna, Chong Huang, Nneamaka Agochukwu-Nwubah, Alisha Bonaroti, Lesley Wong, Guoqiang Yu

Open access · bronzeAbstract read
In one paragraph

Article in Military medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

10 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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 3 institutions in 1 country.

Mingjun ZhaoF. Joseph Halcomb III, M.D. Department of Biomedical Engineering, University of Kentucky, 143 Graham Ave, Lexington, KY 40508.
Siavash MazdeyasnaF. Joseph Halcomb III, M.D. Department of Biomedical Engineering, University of Kentucky, 143 Graham Ave, Lexington, KY 40508.
Chong HuangF. Joseph Halcomb III, M.D. Department of Biomedical Engineering, University of Kentucky, 143 Graham Ave, Lexington, KY 40508.
Nneamaka Agochukwu-NwubahDivision of Plastic Surgery, University of Kentucky, 1000 S. Limestone, Lexington, KY 40536 Guarantor: Guoqaing Yu Presented as a poster at the 2018 Military Health System Research Symposium, August 2018, Kissimmee, FL; abstract # MHSRS-18-1688. The views expressed in this article are those of the authors and do not necessarily represent National Institutes of Health, American Heart Association, National Endowment for Plastic Surgery, National Science Foundation or University of the Kentucky.
Alisha BonarotiDivision of Plastic Surgery, University of Kentucky, 1000 S. Limestone, Lexington, KY 40536 Guarantor: Guoqaing Yu Presented as a poster at the 2018 Military Health System Research Symposium, August 2018, Kissimmee, FL; abstract # MHSRS-18-1688. The views expressed in this article are those of the authors and do not necessarily represent National Institutes of Health, American Heart Association, National Endowment for Plastic Surgery, National Science Foundation or University of the Kentucky.
Lesley WongDivision of Plastic Surgery, University of Kentucky, 1000 S. Limestone, Lexington, KY 40536 Guarantor: Guoqaing Yu Presented as a poster at the 2018 Military Health System Research Symposium, August 2018, Kissimmee, FL; abstract # MHSRS-18-1688. The views expressed in this article are those of the authors and do not necessarily represent National Institutes of Health, American Heart Association, National Endowment for Plastic Surgery, National Science Foundation or University of the Kentucky.
Guoqiang YuF. Joseph Halcomb III, M.D. Department of Biomedical Engineering, University of Kentucky, 143 Graham Ave, Lexington, KY 40508.
University of Kentucky · USU.S. National Science Foundation · USAmerican Heart Association · US

Funding

Noninvasive Noncontact High-Density Optical Imaging of Neonatal Intraventricular HemorrhageR01HD101508 · NICHD · UNIVERSITY OF KENTUCKY · PI YU, GUOQIANG · 2020 to 2024
$2.7M
Time-resolved laser speckle contrast imaging of resting-state functional connectivity in neonatal brainR42MH135825 · NIMH · BIOPTICSTECHNOLOGY, LLC · PI YU, GUOQIANG · 2023 to 2025
$2.1M
Development of a Wearable Fluorescence Imaging Device for IntraoperativeIdentification of Brain TumorsR42CA243600 · NCI · BIOPTICSTECHNOLOGY, LLC · PI YU, GUOQIANG · 2023 to 2025
$2.0M
Perioperative Diffuse Optical Imaging of Tissue Blood Flow and Oxygenation for Optimization of Mastectomy Skin Flap ViabilityR01EB028792 · NIBIB · UNIVERSITY OF KENTUCKY · PI YU, GUOQIANG · 2020 to 2024
$1.9M
Diffuse Optical Monitoring of Head and Neck Tumor TherapyR01CA149274 · NCI · UNIVERSITY OF KENTUCKY · PI YU, GUOQIANG · 2010 to 2014
$1.4M
High-density optical tomography of cerebral blood flow and metabolism in small animalsR41NS122722 · NINDS · BIOPTICSTECHNOLOGY, LLC · PI YU, GUOQIANG · 2021 to 2022
$688k
Continuous and Longitudinal Monitoring of Cerebral Blood Flow and Metabolism in Freely Moving RodentsR56NS117587 · NINDS · UNIVERSITY OF KENTUCKY · PI YU, GUOQIANG · 2020 to 2020
$613k
A Multiscale Multimodal Diffuse Optical Device for Early Detection of Preclinical Alzheimer’s DiseaseR21HD091118 · NICHD · UNIVERSITY OF KENTUCKY · PI YU, GUOQIANG · 2018 to 2019
$568k
Non-contact Diffuse Optical Assessment of Pressure Ulcer and TherapyR21AR062356 · NIAMS · UNIVERSITY OF KENTUCKY · PI YU, GUOQIANG · 2012 to 2013
$350k
Development of a Wearable Fluorescence Imaging Device for Intraoperative Identification of Brain TumorsR41CA243600 · NCI · BIOPTICSTECHNOLOGY, LLC · PI YU, GUOQIANG · 2019 to 2019
$210k
NCI NIH HHS R01 CA149274NCI NIH HHS R41 CA243600NCI NIH HHS R42 CA243600NIAMS NIH HHS R21 AR062356NIBIB NIH HHS R01 EB028792NICHD NIH HHS R01 HD101508NICHD NIH HHS R21 HD091118NIMH NIH HHS R42 MH135825NINDS NIH HHS R41 NS122722NINDS NIH HHS R56 NS117587
6 · The paper itself

Abstract

introductionTissue injuries are often associated with abnormal blood flow (BF). The ability to assess BF distributions in injured tissues enables objective evaluation of interventions and holds the potential to improve the acute management of these injuries on battlefield. MATERIALS AND

methodsWe have developed a novel speckle contrast diffuse correlation tomography (scDCT) system for noncontact 3D imaging of tissue BF distributions. In scDCT, a galvo mirror was used to remotely project near-infrared point light to different source positions and an electron multiplying charge-coupled-device was used to detect boundary diffuse speckle contrasts. The normalized boundary data were then inserted into a modified Near-Infrared Fluorescence and Spectral Tomography program for 3D reconstructions of BF distributions. This article reports the first application of scDCT for noncontact 3D imaging of BF distributions in burn wounds.

resultsSignificant lower BF values were observed in the burned areas/volumes compared to surrounding normal tissues.

conclusionsThe unique noncontact 3D imaging capability makes the scDCT applicable for intraoperative assessment of burns/wounds, without risk of infection and without interfering with sterility of the surgical field. The portable scDCT device holds the potential to be used by surgeons in combat surgical hospitals to improve the acute management of battlefield burn injuries.

Indexed as

AbdomenAnalysis of VarianceBurnsHemodynamicsHumansKentuckyTomography, X-Ray Computed

Identifiers

PMID31498406
PMCPMC7353839
OpenAlexW2971483616

What Socratic 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 Socratic graph.