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Raster-scanning optoacoustic mesoscopy biomarkers for atopic dermatitis skin lesions

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 shoul...

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Autores principales: Nau, T., Schönmann, C., Hindelang, B., Riobo, L., Doll, A., Schneider, S., Englert, L., He, H., Biedermann, T., Darsow, U., Lauffer, F., Ntziachristos, V., Aguirre, J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10236218/
https://www.ncbi.nlm.nih.gov/pubmed/37275325
http://dx.doi.org/10.1016/j.pacs.2023.100513
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author Nau, T.
Schönmann, C.
Hindelang, B.
Riobo, L.
Doll, A.
Schneider, S.
Englert, L.
He, H.
Biedermann, T.
Darsow, U.
Lauffer, F.
Ntziachristos, V.
Aguirre, J.
author_facet Nau, T.
Schönmann, C.
Hindelang, B.
Riobo, L.
Doll, A.
Schneider, S.
Englert, L.
He, H.
Biedermann, T.
Darsow, U.
Lauffer, F.
Ntziachristos, V.
Aguirre, J.
author_sort Nau, T.
collection PubMed
description 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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spelling pubmed-102362182023-06-03 Raster-scanning optoacoustic mesoscopy biomarkers for atopic dermatitis skin lesions Nau, T. Schönmann, C. Hindelang, B. Riobo, L. Doll, A. Schneider, S. Englert, L. He, H. Biedermann, T. Darsow, U. Lauffer, F. Ntziachristos, V. Aguirre, J. Photoacoustics Research Article 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. Elsevier 2023-05-25 /pmc/articles/PMC10236218/ /pubmed/37275325 http://dx.doi.org/10.1016/j.pacs.2023.100513 Text en © 2023 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Research Article
Nau, T.
Schönmann, C.
Hindelang, B.
Riobo, L.
Doll, A.
Schneider, S.
Englert, L.
He, H.
Biedermann, T.
Darsow, U.
Lauffer, F.
Ntziachristos, V.
Aguirre, J.
Raster-scanning optoacoustic mesoscopy biomarkers for atopic dermatitis skin lesions
title Raster-scanning optoacoustic mesoscopy biomarkers for atopic dermatitis skin lesions
title_full Raster-scanning optoacoustic mesoscopy biomarkers for atopic dermatitis skin lesions
title_fullStr Raster-scanning optoacoustic mesoscopy biomarkers for atopic dermatitis skin lesions
title_full_unstemmed Raster-scanning optoacoustic mesoscopy biomarkers for atopic dermatitis skin lesions
title_short Raster-scanning optoacoustic mesoscopy biomarkers for atopic dermatitis skin lesions
title_sort raster-scanning optoacoustic mesoscopy biomarkers for atopic dermatitis skin lesions
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10236218/
https://www.ncbi.nlm.nih.gov/pubmed/37275325
http://dx.doi.org/10.1016/j.pacs.2023.100513
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