Evaluation Skin Stiffness Gradient on Skin After LLLT

Optimization of Low-Level Laser Therapy Via Biomechanical Properties Analysis Using Optical Coherence Tomography on Skin

Status

Active, not recruiting

Phases

Unknown

Study type

Interventional

Source

ClinicalTrials.gov

Registry ID

NCT07680309

Enrollment

Registered

2026-07-02

Start date

2025-01-10

Completion date

2026-08-15

Last updated

2026-07-02

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

DFU, Skin Stiffness, Skin Thickness, Wound and Injuries

Keywords

OCT, Skin Thickness, Skin Stiffness, DFU Prevention

Brief summary

This study evaluates the effects of Low-Level Laser Therapy (LLLT) on skin elasticity by measuring a 3x3 stiffness gradient across 9 points spaced 1 cm apart. Using an air-pressure pump integrated with an Optical Coherence Tomography (OCT) system, a deep learning model is utilized to automatically segment and track micro-scale skin movement during deformation.

Interventions

OTHERLLLT intervention on skin biomechanical properties in different duration and wavelength

LLLT intervention on skin biomechanical properties in three different duration and two LLLT wavelength

OTHERLLLT intervention on skin biomechanical properties in different duty cycle and applied frequency

LLLT intervention on skin biomechanical properties in three different duty cycle and two applied frequency

Study design

Allocation

RANDOMIZED

Intervention model

PARALLEL

Primary purpose

PREVENTION

Masking

NONE

Eligibility

Sex/Gender

ALL

Age

18 Years to No maximum

Healthy volunteers

Yes

Inclusion criteria

* Healthy adult

Exclusion criteria

* People with wound and ulcers

Design outcomes

Primary

Measure	Time frame	Description
Measurements skin stiffness gradient	Through study completion, an average of 1 year	This study evaluates the effects of Low-Level Laser Therapy (LLLT) on skin elasticity by measuring a 3x3 stiffness gradient across 9 points spaced 1 cm apart. Using an air-pressure pump integrated with an Optical Coherence Tomography (OCT) system, a deep learning model is utilized to automatically segment and track micro-scale skin movement during deformation.

Countries

Taiwan

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Jul 3, 2026