Evidence map›Paper›PMID 41613755›Full record

ReviewChemical & biomedical imaging2026

From Optical to Molecular Imaging on Human Skin: A Review.

Angeliki Birmpili, Ron M A Heeren, Rob J Vreeken, Eva Cuypers

Abstract readReview
In one paragraph

Review in Chemical & biomedical imaging, 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

4 authors.

Angeliki BirmpiliThe Maastricht MultiModal Molecular Imaging (M4I) Institute, Division of Imaging Mass Spectrometry (IMS), Maastricht University, Maastricht 6229 ER, The Netherlands.ORCID https://orcid.org/0009-0006-7505-0557
Ron M A HeerenThe Maastricht MultiModal Molecular Imaging (M4I) Institute, Division of Imaging Mass Spectrometry (IMS), Maastricht University, Maastricht 6229 ER, The Netherlands.ORCID https://orcid.org/0000-0002-6533-7179
Rob J VreekenThe Maastricht MultiModal Molecular Imaging (M4I) Institute, Division of Imaging Mass Spectrometry (IMS), Maastricht University, Maastricht 6229 ER, The Netherlands.ORCID https://orcid.org/0000-0003-3568-1371
Eva CuypersThe Maastricht MultiModal Molecular Imaging (M4I) Institute, Division of Imaging Mass Spectrometry (IMS), Maastricht University, Maastricht 6229 ER, The Netherlands.ORCID https://orcid.org/0000-0002-6411-2461

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate diagnosis is of great importance in all medical fields, and dermatology is no exception. Among the various routes available to clinicians, medical tests based on imaging properties have become a cornerstone for the assessment of skin diseases. Advancements in dermatological imaging techniques, particularly those combining optical and molecular modalities, are revolutionizing our understanding of skin pathologies. These techniques offer a more comprehensive view of skin conditions, as they provide complementary insights at both macroscopic and molecular levels. This review explores the historical and current state of diverse imaging methodologies, both traditional and advanced, employed in dermatology for diagnostic, therapeutic, and research purposes. Key technological advancements in the field are discussed, including their integration with molecular profiling techniques, such as spatial omics. These hybrid approaches allow for the identification of biomarkers, molecular signatures, and deeper disease mechanisms, contributing to the development of precision medicine for skin conditions. The translational potential of these technologies is also highlighted, emphasizing their implementation into clinical workflows and the challenges of standardization and cost-effectiveness. Moreover, we address the current limitations, including access to specialized equipment, expertise, and data interpretation, and propose strategies to overcome these challenges. The paper finally discusses the potential future role of artificial Intelligence in streamlining image analysis and clinical decision-making support. By examining both the present and future perspectives of dermatological imaging, this review aims to provide a holistic overview of the full potential of the available advanced techniques and their applications.

Indexed as

dermatologymass spectrometry imagingmolecular imagingoptical imagingskin pathologyspatial omics

Identifiers

PMID41613755
PMCPMC12848729

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.