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Differentiation Between Benign and Malignant Pigmented Skin Tumours Using Bedside Diagnostic Imaging Technologies: A Pilot Study
Rapid diagnosis of suspicious pigmented skin lesions is imperative; however, current bedside skin imaging technologies are either limited in penetration depth or resolution. Combining imaging methods is therefore highly relevant for skin cancer diagnostics. This pilot study evaluated the ability of...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Society for Publication of Acta Dermato-Venereologica
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9631264/ https://www.ncbi.nlm.nih.gov/pubmed/34806755 http://dx.doi.org/10.2340/actadv.v101.571 |
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author | VON KNORRING, Terese MØLLER ISRAELSEN, Niels UNG, Vilde FORMANN, Julie L. JENSEN, Mikkel HAEDERSDAL, Merete BANG, Ole FREDMAN, Gabriella MOGENSEN, Mette |
author_facet | VON KNORRING, Terese MØLLER ISRAELSEN, Niels UNG, Vilde FORMANN, Julie L. JENSEN, Mikkel HAEDERSDAL, Merete BANG, Ole FREDMAN, Gabriella MOGENSEN, Mette |
author_sort | VON KNORRING, Terese |
collection | PubMed |
description | Rapid diagnosis of suspicious pigmented skin lesions is imperative; however, current bedside skin imaging technologies are either limited in penetration depth or resolution. Combining imaging methods is therefore highly relevant for skin cancer diagnostics. This pilot study evaluated the ability of optical coherence tomography, reflectance confocal microscopy, photoacoustic imaging and high-frequency ultrasound to differentiate malignant from benign pigmented skin lesions. A total of 41 pigmented skin tumours were scanned prior to excision. Morphological features and blood vessel characteristics were analysed with reflectance confocal microscopy, optical coherence tomography, high-frequency ultrasound and photoacoustic imaging images, and the diagnostic accuracy was assessed. Three novel photoacoustic imaging features, 7 reflectance confocal microscopy features, and 2 optical coherence tomography features were detected that had a high correlation with malignancy; diagnostic accuracy > 71%. No significant features were found in high-frequency ultrasound. In conclusion, optical coherence tomography, reflectance confocal microscopy and photoacoustic imaging in combination enable image-guided bedside evaluation of suspicious pigmented skin tumours. Combining these advanced techniques may enable more efficient diagnosis of skin cancer. |
format | Online Article Text |
id | pubmed-9631264 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Society for Publication of Acta Dermato-Venereologica |
record_format | MEDLINE/PubMed |
spelling | pubmed-96312642022-11-17 Differentiation Between Benign and Malignant Pigmented Skin Tumours Using Bedside Diagnostic Imaging Technologies: A Pilot Study VON KNORRING, Terese MØLLER ISRAELSEN, Niels UNG, Vilde FORMANN, Julie L. JENSEN, Mikkel HAEDERSDAL, Merete BANG, Ole FREDMAN, Gabriella MOGENSEN, Mette Acta Derm Venereol Original Article Rapid diagnosis of suspicious pigmented skin lesions is imperative; however, current bedside skin imaging technologies are either limited in penetration depth or resolution. Combining imaging methods is therefore highly relevant for skin cancer diagnostics. This pilot study evaluated the ability of optical coherence tomography, reflectance confocal microscopy, photoacoustic imaging and high-frequency ultrasound to differentiate malignant from benign pigmented skin lesions. A total of 41 pigmented skin tumours were scanned prior to excision. Morphological features and blood vessel characteristics were analysed with reflectance confocal microscopy, optical coherence tomography, high-frequency ultrasound and photoacoustic imaging images, and the diagnostic accuracy was assessed. Three novel photoacoustic imaging features, 7 reflectance confocal microscopy features, and 2 optical coherence tomography features were detected that had a high correlation with malignancy; diagnostic accuracy > 71%. No significant features were found in high-frequency ultrasound. In conclusion, optical coherence tomography, reflectance confocal microscopy and photoacoustic imaging in combination enable image-guided bedside evaluation of suspicious pigmented skin tumours. Combining these advanced techniques may enable more efficient diagnosis of skin cancer. Society for Publication of Acta Dermato-Venereologica 2022-01-26 /pmc/articles/PMC9631264/ /pubmed/34806755 http://dx.doi.org/10.2340/actadv.v101.571 Text en © 2022 Acta Dermato-Venereologica https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the CC BY-NC license |
spellingShingle | Original Article VON KNORRING, Terese MØLLER ISRAELSEN, Niels UNG, Vilde FORMANN, Julie L. JENSEN, Mikkel HAEDERSDAL, Merete BANG, Ole FREDMAN, Gabriella MOGENSEN, Mette Differentiation Between Benign and Malignant Pigmented Skin Tumours Using Bedside Diagnostic Imaging Technologies: A Pilot Study |
title | Differentiation Between Benign and Malignant Pigmented Skin Tumours Using Bedside Diagnostic Imaging Technologies: A Pilot Study |
title_full | Differentiation Between Benign and Malignant Pigmented Skin Tumours Using Bedside Diagnostic Imaging Technologies: A Pilot Study |
title_fullStr | Differentiation Between Benign and Malignant Pigmented Skin Tumours Using Bedside Diagnostic Imaging Technologies: A Pilot Study |
title_full_unstemmed | Differentiation Between Benign and Malignant Pigmented Skin Tumours Using Bedside Diagnostic Imaging Technologies: A Pilot Study |
title_short | Differentiation Between Benign and Malignant Pigmented Skin Tumours Using Bedside Diagnostic Imaging Technologies: A Pilot Study |
title_sort | differentiation between benign and malignant pigmented skin tumours using bedside diagnostic imaging technologies: a pilot study |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9631264/ https://www.ncbi.nlm.nih.gov/pubmed/34806755 http://dx.doi.org/10.2340/actadv.v101.571 |
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