Evidence map›Paper›PMID 42058416›Full record

ArticleFrontiers in medicine2026

Photobleaching-based autofluorescence mapping reveals distinct patterns in sporadic basal cell carcinoma, nevoid basal cell carcinoma syndrome-associated basal cell carcinoma and squamous cell carcinoma.

Emilija V Plorina, Ilze Lihacova, Mehdi Boostani, Szabolcs Bozsányi, Norbert Kiss, Dmitrijs Bliznuks, Marta Skrastina, Alexey Lihachev

Abstract read
In one paragraph

Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Emilija V PlorinaFaculty of Science and Technology, Institute of Atomic Physics and Spectroscopy, University of Latvia, Riga, Latvia.
Ilze LihacovaFaculty of Science and Technology, Institute of Atomic Physics and Spectroscopy, University of Latvia, Riga, Latvia.
Mehdi BoostaniDepartment of Dermatology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, United States.
Szabolcs BozsányiDepartment of Dermatology, Venereology and Dermatooncology, Semmelweis University, Budapest, Hungary.
Norbert KissFaculty of Science and Technology, Institute of Atomic Physics and Spectroscopy, University of Latvia, Riga, Latvia.
Dmitrijs BliznuksInstitute of Applied Computer Systems, Riga Technical University, Riga, Latvia.
Marta SkrastinaFaculty of Science and Technology, Institute of Atomic Physics and Spectroscopy, University of Latvia, Riga, Latvia.
Alexey LihachevFaculty of Science and Technology, Institute of Atomic Physics and Spectroscopy, University of Latvia, Riga, Latvia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Autofluorescence (AF) imaging is a promising non-invasive tool for skin cancer diagnostics. However, AF intensity alone often fails to reliably delineate tumor boundaries due to strong influence from melanin, keratin, vasculature, and surface scattering. AF photobleaching kinetics provide an additional functional contrast linked to endogenous fluorophore content and environment microstructure, but their diagnostic potential in clinical skin cancer imaging remains underexplored. Methods: To investigate the photobleaching phenomenon, we analyzed AF and photobleaching behavior in 84 histologically confirmed lesions, including 53 sporadic basal cell carcinomas (BCC), 25 BCCs associated with nevoid basal cell carcinoma syndrome (NBCCS, also known as Gorlin syndrome), and 6 squamous cell carcinomas (SCC). Continuous narrow band LED 405 nm excitation for 20 s enabled pixel-wise fitting of exponential decay curves, generating photobleaching parameter maps describing bleaching amplitude (A), decay constant (τ), and residual component (C). Results: Across all tumor types, lesions consistently exhibited lower initial AF, reduced photobleaching amplitude, and faster τ compared to surrounding skin. A key qualitative finding was a systematic mismatch between lesion boundaries seen in AF intensity versus boundaries revealed by A and τ maps, suggesting that photobleaching parameters capture deeper or structurally distinct tissue alterations not visible in steady-state AF emission imaging. NBCCS-associated BCCs showed more homogeneous A/τ patterns than sporadic tumors, while SCC lesions demonstrated coarse, irregular τ distributions distinct from BCC. Discussion: These observations indicate that photobleaching kinetics provide biologically meaningful contrast and may improve non-invasive tumor characterization, with potential relevance for early diagnosis and surgical margin assessment.

Indexed as

autofluorescenceNBCCSnon-invasive skin imagingphotobleaching imagingskin cancer

Identifiers

PMID42058416
PMCPMC13121063

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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.