Evidence map›Paper›PMID 41567367›Full record

ArticleJournal of biomedical optics2026

Two-step regression analysis approach to assess burn wound severity using spatial frequency domain imaging.

Thinh Phan, Christopher A Campbell, Gordon T Kennedy, Nicole Wakida, Nataliya Makeeva, Gabriela Tabone, Theresa L Chin, Victor C Joe, Bernard Choi, Anthony J Durkin

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of biomedical optics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Thinh PhanUniversity of California - Irvine, Beckman Laser Institute and Medical Clinic, Irvine, California, United States.ORCID https://orcid.org/0000-0002-1210-6000
Christopher A CampbellUniversity of California - Irvine, Beckman Laser Institute and Medical Clinic, Irvine, California, United States.
Gordon T KennedyUniversity of California - Irvine, Beckman Laser Institute and Medical Clinic, Irvine, California, United States.ORCID https://orcid.org/0000-0002-2335-8887
Nicole WakidaUniversity of California - Irvine, Beckman Laser Institute and Medical Clinic, Irvine, California, United States.
Nataliya MakeevaUniversity of California - Irvine, Beckman Laser Institute and Medical Clinic, Irvine, California, United States.ORCID https://orcid.org/0009-0005-1305-0642
Gabriela TaboneUniversity of California - Irvine, Beckman Laser Institute and Medical Clinic, Irvine, California, United States.ORCID https://orcid.org/0009-0003-6587-5465
Theresa L ChinUniversity of California - Irvine, Department of Surgery, Irvine, California, United States.
Victor C JoeUniversity of California - Irvine, Department of Surgery, Irvine, California, United States.ORCID https://orcid.org/0000-0002-1420-3082
Bernard ChoiUniversity of California - Irvine, Beckman Laser Institute and Medical Clinic, Irvine, California, United States.ORCID https://orcid.org/0000-0002-4380-8291
Anthony J DurkinUniversity of California - Irvine, Beckman Laser Institute and Medical Clinic, Irvine, California, United States.ORCID https://orcid.org/0000-0001-9124-6388

Funding

UCI P30 Skin Center Systems Biology CoreP30AR075047 · NIAMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI ANDERSEN, BOGI, GANESAN, ANAND K · 2019 to 2025
$5.1M
Spatial Frequency Domain Imaging for Burn Wound Severity AssessmentR01GM108634 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI DURKIN, ANTHONY J · 2014 to 2023
$2.8M
NIAMS NIH HHS P30 AR075047NIGMS NIH HHS R01 GM108634
6 · The paper itself

Abstract

Significance: Prompt care is essential for burn wound recovery. Spatial frequency domain imaging (SFDI) has previously shown promise in predicting healing outcomes across burn severity grades. This study builds on that by demonstrating calibrated reflectance images ( Aim: To develop predictive models for: 1) Day-1 postburn CDD using SFDI Approach: Using a previously reported graded-severity porcine burn model ( Results: The linear model using Conclusions: This two-step framework enables early prediction (as early as day 1) of burn severity and healing using SFDI

Indexed as

BurnsOptical ImagingAnimalsCollagenDisease Models, AnimalRegression AnalysisSkinSwineWound HealingCollagenburn wound severity assessmentcollagenlinear regressionlogistic regressionmachine learningpicrosirius redspatial frequency domain imaging

Identifiers

PMID41567367
PMCPMC12818464

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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.