Evidence map›Paper›PMID 42252133›Full record

Trial reportJournal of biophotonics2026

Deep Learning-Based OCT Segmentation for Stiffness Quantification in Evaluating Low-Level Laser Therapy for Wound Healing.

Gilang Titah Ramadhan, Yih-Kuen Jan, Ben-Yi Liau, Hsu-Tang Cheng, Wei-Cheng Shen, Chien-Cheng Tai, Sheena Christabel Pravin, Kiruthika Venkataramani, Winson Chiu-Chun Lee, Congo Tak Shing Ching and 1 more

Registry-linked trialAbstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Journal of biophotonics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07177274 (Evaluation of Skin Stiffness Changes in Wounds Before and After Low-Level Laser Therapy Using 660 nm Laser), which is not on this 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.

NCT07177274 naactive not recruitingnot on this map

Evaluation of Skin Stiffness Changes in Wounds Before and After Low-Level Laser Therapy Using 660 nm Laser: A Comparative Analysis With OCT and MyotonPRO

TypeinterventionalSponsorAsia UniversityRan2024 to 2025Enrolled20ConditionsWound - in Medical CareArmsLow Level Laser Therapy
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

11 authors.

Gilang Titah RamadhanDepartment of Informatics, Tiga Serangkai University, Surakarta, Indonesia.
Yih-Kuen JanRehabilitation Engineering Lab, Department of Health and Kinesiology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.ORCID 0000-0001-7149-4034
Ben-Yi LiauDepartment of Automatic Control Engineering, Feng Chia University, Taichung, Taiwan.ORCID 0000-0002-6857-8656
Hsu-Tang ChengDivision of Plastic and Reconstructive Surgery, Department of Surgery, Asia University Hospital, Asia University College of Medical and Health Science, Taichung, Taiwan.
Wei-Cheng ShenDepartment of Creative Product Design, Asia University, Taichung, Taiwan.
Chien-Cheng TaiSchool of Public Health, College of Public Health, Taipei Medical University, Taipei, Taiwan.
Sheena Christabel PravinSchool of Electronics Engineering, Vellore Institute of Technology, Chennai, India.ORCID 0000-0001-8520-3322
Kiruthika VenkataramaniSchool of Electronics Engineering, Vellore Institute of Technology, Chennai, India.
Winson Chiu-Chun LeeSchool of Mechanical, Materials, Mechatronics and Biomedical Engineering, University of Wollongong, Wollongong, Australia.
Congo Tak Shing ChingGraduate Institute of Biomedical Engineering, National Chung Hsing University, Taichung, Taiwan.ORCID 0000-0001-9796-9827
Chi-Wen LungRehabilitation Engineering Lab, Department of Health and Kinesiology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.

Funding

National Science and Technology Council of Taiwan NSTC 114-2410-H-468-016National Science and Technology Council of Taiwan NSTC 114-2923-E-468-001-MY3
6 · The paper itself

Abstract

backgroundThis study evaluated the short-term biomechanical response of wound tissue following low-level laser therapy (LLLT) by examining changes in skin stiffness, a surrogate biomechanical indicator of short-term tissue response, across different limb regions.

methodsA 660 nm LLLT protocol was applied to wound sites. Skin stiffness was quantified using optical coherence tomography (OCT) combined with an air-jet indentation system, enabling non-contact measurement of tissue deformation. For accurate layer-specific assessment, a U-Net-based model was employed to automate OCT image segmentation.

resultsThe automated segmentation by the U-Net model achieved a segmentation accuracy of 92%, facilitated precise segmentation of skin layers. LLLT significantly reduced skin stiffness after treatment, indicating an acute modulation of tissue compliance.

conclusionShort-duration LLLT reduces skin stiffness immediately post-treatment, indicating its potential as a non-invasive intervention to modulate the biomechanical environment of wounds.

trial registrationClinicalTrials.gov identifier: NCT07177274.

Indexed as

Deep LearningImage Processing, Computer-AssistedLow-Level Light TherapyMechanical PhenomenaTomography, Optical CoherenceWound HealingBiomechanical PhenomenaHumansSkinlow‐level laser therapyskin injurysoft tissue stiffnesswound healing

Identifiers

PMID42252133
PMCPMC13242974

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.