Activated melanocytes and senescent collagen fibers predict laser-treated melasma outcomes: An optical biopsy–based prospective cohort study

Optical biopsy using CRFF-OCT revealed that patterns of activated melanocytes and senescent collagen fibers can serve as predictive markers for post-laser treatment outcomes. The photoaging characteristics of melasma were improved through the reduction of activated melanocytes and the repair of the BM.

Authors

Institutions

Publication Details

Journal
Photodiagnosis and Photodynamic Therapy
Published
2025-05-24
DOI
https://doi.org/10.1016/j.pdpdt.2025.104648
Citations
2
Primary Topic
Dermatologic Treatments and Research
Type
article
Field-Weighted Citation Impact
4.01

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Activated melanocytes and senescent collagen fibers predict laser-treated melasma outcomes: An optical biopsy–based prospective cohort study

Yen‐Jen Wang, Jia‐Wei Shen, Meng‐En Lu, Hsiu‐Mei Chiang et al.
2 citations
Photodiagnosis and Photodynamic Therapy
Dermatologic Treatments and Research
4.01
article

Activated melanocytes and senescent collagen fibers predict laser-treated melasma outcomes: An optical biopsy–based prospective cohort study

Yen‐Jen Wang, Jia‐Wei Shen, Meng‐En Lu, Hsiu‐Mei Chiang, Bor‐Shyh Lin, Chang‐Cheng Chang, Yu‐Hung Wu, Ling Huang, Yu‐Chang Shih, I‐Ling Chen, Hsin‐Mei Cheng
article en
2 citations

Abstract

Optical biopsy using CRFF-OCT revealed that patterns of activated melanocytes and senescent collagen fibers can serve as predictive markers for post-laser treatment outcomes. The photoaging characteristics of melasma were improved through the reduction of activated melanocytes and the repair of the BM.

Photodiagnosis and Photodynamic TherapyVol. 54
National Yang Ming Chiao Tung University (TW), China Medical University (TW), Mackay Memorial Hospital (TW), Apollo Institute of Medical Sciences & Research (IN), China Medical University Hospital (TW), Mackay Junior College of Medicine, Nursing and Management (TW)
Ministry of Science and Technology of the People's Republic of China, China Medical University
Zero hunger
Openalex Percentile: Top 7%
Dermatologic Treatments and Research
4.01
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.