Evidence map›Paper›PMID 32832745›Full record

ArticleBurns open : an international open access journal for burn injuries2020

Spatial Frequency Domain Imaging (SFDI) of clinical burns: A case report.

Adrien Ponticorvo, Rebecca Rowland, Melissa Baldado, Gordon T Kennedy, Anna-Marie Hosking, David M Burmeister, Robert J Christy, Nicole P Bernal, Anthony J Durkin

Abstract read
In one paragraph

Article in Burns open : an international open access journal for burn injuries, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Journal of biomedical optics · 2025
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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

9 authors.

Adrien PonticorvoBeckman Laser Institute and Medical Clinic, University of California, Irvine, 1002 Health Sciences Road East, Irvine, CA 92617, United States.
Rebecca RowlandBeckman Laser Institute and Medical Clinic, University of California, Irvine, 1002 Health Sciences Road East, Irvine, CA 92617, United States.
Melissa BaldadoBeckman Laser Institute and Medical Clinic, University of California, Irvine, 1002 Health Sciences Road East, Irvine, CA 92617, United States.
Gordon T KennedyBeckman Laser Institute and Medical Clinic, University of California, Irvine, 1002 Health Sciences Road East, Irvine, CA 92617, United States.
Anna-Marie HoskingUC Irvine Medical Center, Department of Surgery, 333 City Boulevard West, Suite 705, Orange, CA 92868, United States.
David M BurmeisterUnited States Army Institute of Surgical Research, 3650 Chambers Pass, Fort Sam Houston, TX, 78234, United States.
Robert J ChristyUnited States Army Institute of Surgical Research, 3650 Chambers Pass, Fort Sam Houston, TX, 78234, United States.
Nicole P BernalUC Irvine Medical Center, Department of Surgery, 333 City Boulevard West, Suite 705, Orange, CA 92868, United States.
Anthony J DurkinBeckman Laser Institute and Medical Clinic, University of California, Irvine, 1002 Health Sciences Road East, Irvine, CA 92617, United States.

Funding

Virtual Photonocs TechnologiesP41EB015890 · NIBIB · UNIVERSITY OF CALIFORNIA-IRVINE · PI BOTVINICK, ELLIOT LAWRENCE · 2012 to 2017
$7.0M
Spatial Frequency Domain Imaging for Burn Wound Severity AssessmentR01GM108634 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI DURKIN, ANTHONY J · 2014 to 2023
$2.8M
NIBIB NIH HHS P41 EB015890NIGMS NIH HHS R01 GM108634
6 · The paper itself

Abstract

While visual assessment by a clinician is the standard of care for burn severity evaluations, new technologies at various stages of development are attempting to add objectivity to this practice by quantifying burn severity. Assessment accuracy generally improves after the burn injury has progressed, but early assessments that correctly identify superficial partial and deep partial burns have the potential to lead to more prompt treatments and shorter recovery times. To date, Spatial Frequency Domain Imaging (SFDI) has only been used in animal models of burns, but has shown the potential to categorize burns accurately at earlier time points. Here we examine the potential for SFDI to assess burn severity in clinical patients. We also utilize Laser Speckle Imaging (LSI), an FDA cleared non-invasive imaging technology that typically measures blood perfusion in order to evaluate burns in clinical patients. We present a case series of two patients, both with partial thickness burns of varying severity. Partial thickness burns are often difficult for clinicians to categorize based on visual appearance alone. SFDI and LSI were both performed on each patient at approximately 24 and 72 h after their respective burn incidents. Each technique was able to render spatially resolved information that enabled improved assessment accuracy for each burn. This represents the first publication of SFDI applied to clinical burn patients after being successfully utilized in animal models, and highlights the potential for SFDI as a feasible tool for the timely categorization of burn severity.

Indexed as

BurnsClinicalHumansLaser Speckle ImagingSpatial Frequency Domain Imaging

Identifiers

PMID32832745
PMCPMC7442210

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.