Evidence map›Paper›PMID 42377614›Full record

ReviewLasers in medical science2026

Strategic selection of multi-parametric laser settings and clinical endpoints in dermatology: an engineering-to-clinical review.

Soobeen Park, Jihee Hyeon, Hongyun So

Abstract readReview
In one paragraph

Review in Lasers in medical science, 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

3 authors.

Soobeen Park *Department of Medical and Digital Engineering, Hanyang University, 04763, Seoul, Republic of Korea.ORCID http://orcid.org/0009-0005-2091-7208
Jihee Hyeon *Department of Molecular Biotechnology, Jeju National University, 63243, Jeju, Republic of Korea.ORCID http://orcid.org/0009-0004-5043-0217
Hongyun SoDepartment of Medical and Digital Engineering, Hanyang University, 04763, Seoul, Republic of Korea. hyso@hanyang.ac.kr.ORCID http://orcid.org/0000-0003-3870-388X

Funding

Ministry of Trade, Industry and Energy RS-2024-00418263
6 · The paper itself

Abstract

Selective photothermolysis, which enables precise targeting of melanin, hemoglobin, and water, is the foundation for modern dermatologic laser therapy. This review bridges laser physics with clinical practice by organizing systems on the basis of spectral domain and indication: Q-switched and picosecond lasers for tattoos and lentigines; pulsed-dye and long-pulsed neodymium-doped yttrium aluminum garnet (Nd:YAG) lasers for vascular lesions; alexandrite and diode lasers for hair removal; and fractional ablative (CO₂, erbium-doped yttrium aluminum garnet [Er:YAG]) and non-ablative platforms for scar revision and rejuvenation. Unlike conventional textbook reviews that merely list device specifications, we specifically define how to dynamically adjust comprehensive parameters not just wavelength, but also pulse duration, fluence, and spot size-in direct response to immediate clinical endpoints observed during treatment. We delineated the selection of parameters-wavelength, pulse duration, fluence, and spot size-in relation to the Fitzpatrick skin type, focusing on cooling, treatment endpoints, and recovery. Current evidence regarding efficacy, recurrence, and complications has been synthesized, and the device parameters have been linked to thermal relaxation and Arrhenius injury kinetics to inform safer evidence-based algorithms and multimodal treatment strategies.

Indexed as

DermatologyLaser TherapyLow-Level Light TherapySkin DiseasesHumansLasers, Solid-StateLaser–tissue interactionLaser treatmentSelective photothermolysisSkin opticsWavelength-based classification

Identifiers

PMID42377614
PMCPMC13319184

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.