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Nau, T. ; Schönmann, C. ; Hindelang, B. ; Riobo, L. ; Doll, A.* ; Schneider, S.A. ; Englert, L. ; He, H. ; Biedermann, T.* ; Darsow, U.* ; Lauffer, F.* ; Ntziachristos, V. ; Aguirre Bueno, J.

Raster-scanning optoacoustic mesoscopy biomarkers for atopic dermatitis skin lesions.

Photoacoustics 31:100513 (2023)
Publ. Version/Full Text DOI PMC
Open Access Gold
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Atopic dermatitis (AD) is the most common chronic inflammatory skin disease worldwide. Its severity is assessed using scores that rely on visual observation of the affected body surface area, the morphology of the lesions and subjective symptoms, like pruritus or insomnia. Ideally, such scores should be complemented by objective and accurate measurements of disease severity to standardize disease scoring in routine care and clinical trials. Recently, it was shown that raster-scanning optoacoustic mesoscopy (RSOM) can provide detailed three-dimensional images of skin inflammation processes that capture the most relevant features of their pathology. Moreover, precise RSOM biomarkers of inflammation have been identified for psoriasis. However, the objectivity and validity of such biomarkers in repeated measurements have not yet been assessed for AD. Here, we report the results of a study on the repeatability of RSOM inflammation biomarkers in AD to estimate their precision. Optoacoustic imaging analysis revealed morphological inflammation biomarkers with precision well beyond standard clinical severity metrics. Our findings suggest that optoacoustic mesoscopy may be a good choice for quantitative evaluations of AD that are inaccessible by other methods. This could potentially enable the optimization of disease scoring and drug development.
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Publication type Article: Journal article
Document type Scientific Article
Keywords Atopic Dermatitis ; Eczema ; Imaging ; Inflammation ; Optoacoustics ; Photoacoustics ; Skin Diseases; Reliability; Guidelines
Language english
Publication Year 2023
HGF-reported in Year 2023
ISSN (print) / ISBN 2213-5979
Journal Photoacoustics
Quellenangaben Volume: 31, Issue: , Pages: , Article Number: 100513 Supplement: ,
Publisher Elsevier
Publishing Place Hackerbrucke 6, 80335 Munich, Germany
Reviewing status Peer reviewed
POF-Topic(s) 30205 - Bioengineering and Digital Health
Research field(s) Enabling and Novel Technologies
PSP Element(s) G-505500-001
Grants Madrid Talento Project
European Commission
German Society of Dermatology (DDG)
Scopus ID 85160514898
PubMed ID 37275325
Erfassungsdatum 2023-10-06