S1 guideline for imaging diagnostics for skin diseases

Non-invasive imaging techniques allow a quick and easy in vivo examination of the skin with different penetration depths and resolution depending on the applied technology. Established methods such as dermoscopy and high-resolution sonography of the skin have been an integral part of everyday life for decades. Additionally, new emerging techniques such as optical coherence tomography (OCT), reflectance confocal microscopy (RCM), and line-field confocal OCT (LC-OCT) have entered clinical practice. Multiphoton tomography and optoacoustic imaging are also considered promising new methods. RCM and LC-OCT can also be used ex vivo on freshly excised tissue, for example in Moh's surgery margin assessment. The data generated by all imaging methods is ideal for the application of AI-based algorithms to increase diagnostic accuracy and support experienced users. All mentioned methods have preferred indications depending on their strengths and limitations, both in skin tumor diagnostics and in inflammatory, infectious and parasitic dermatoses. The following guideline provides an overview of the various devices and techniques, explains how each method works and provides the current study situation with indications and limitations of each procedure.

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Publication Details

Journal
JDDG Journal der Deutschen Dermatologischen Gesellschaft
Published
2025-11-16
DOI
https://doi.org/10.1111/ddg.15883
Citations
1
Primary Topic
Cutaneous Melanoma Detection and Management
Type
article
Field-Weighted Citation Impact
1.05
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OCT
article

S1 guideline for imaging diagnostics for skin diseases

Rudolf Alexander Herbst, Ulf Darsow, Sonja Grunewald, Viktor Schnabel et al.
1 citations
JDDG Journal der Deutschen Dermatologischen Gesellschaft
Cutaneous Melanoma Detection and Management
1.05
article

S1 guideline for imaging diagnostics for skin diseases

Rudolf Alexander Herbst, Ulf Darsow, Sonja Grunewald, Viktor Schnabel, Hjalmar Kurzen, Bernd Kardorff, Julia Welzel, C Fischer, Janis Thamm, Vasilis Ntziachristos, Sandra Schuh, Elke Sattler, Lynhda Nguyen, Simon Schneider, Teresa Nau, Maximilian Deußing, Daniela Hartmann, Cristel Ruini, Martin Kaatz, Deborah Winkler, Martina Ulrich, Denis Frenzel
article en
1 citations

Abstract

Non-invasive imaging techniques allow a quick and easy in vivo examination of the skin with different penetration depths and resolution depending on the applied technology. Established methods such as dermoscopy and high-resolution sonography of the skin have been an integral part of everyday life for decades. Additionally, new emerging techniques such as optical coherence tomography (OCT), reflectance confocal microscopy (RCM), and line-field confocal OCT (LC-OCT) have entered clinical practice. Multiphoton tomography and optoacoustic imaging are also considered promising new methods. RCM and LC-OCT can also be used ex vivo on freshly excised tissue, for example in Moh's surgery margin assessment. The data generated by all imaging methods is ideal for the application of AI-based algorithms to increase diagnostic accuracy and support experienced users. All mentioned methods have preferred indications depending on their strengths and limitations, both in skin tumor diagnostics and in inflammatory, infectious and parasitic dermatoses. The following guideline provides an overview of the various devices and techniques, explains how each method works and provides the current study situation with indications and limitations of each procedure.

JDDG Journal der Deutschen Dermatologischen GesellschaftVol. 23(12)
Universität Hamburg (DE), University Hospital Augsburg (DE), Helmholtz Zentrum München (DE), LMU Klinikum (DE), Starnberg Hospital (DE), Bavarian State Research Center for Agriculture (DE), Institut für Tier-, Natur- und Umweltethik (DE), University Medical Center Hamburg-Eppendorf (DE), München Klinik (DE), University Hospital Leipzig (DE), Texas Instruments (Germany) (DE), Women‘s Healthcare Group (DE), Leibniz-Institute for Food Systems Biology at the Technical University of Munich (DE), Helios Klinikum Erfurt (DE), Klinikum Chemnitz (DE), Technical University of Munich (DE), Ludwig-Maximilians-Universität München (DE), Sapienza University of Rome (IT)
Openalex Percentile: Top 16%
Cutaneous Melanoma Detection and Management
1.05
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