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UV Irradiation of Nevi: Impact on Performance of Electrical Impedance Spectroscopy and a Convolution Neural Network
INTRODUCTION: UV irradiation of nevi induces transient melanocytic activation with dermoscopic and histological changes. OBJECTIVES: We investigated whether UV irradiation of nevi may influence electrical impedance spectroscopy (EIS) or convolution neural networks (CNN). METHODS: Prospective, contro...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Mattioli 1885
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9681178/ https://www.ncbi.nlm.nih.gov/pubmed/36534529 http://dx.doi.org/10.5826/dpc.1204a164 |
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author | Winkler, Julia Katharina Haenssle, Holger Andreas Uhlmann, Lorenz Schweizer-Rick, Anissa Fink, Christine |
author_facet | Winkler, Julia Katharina Haenssle, Holger Andreas Uhlmann, Lorenz Schweizer-Rick, Anissa Fink, Christine |
author_sort | Winkler, Julia Katharina |
collection | PubMed |
description | INTRODUCTION: UV irradiation of nevi induces transient melanocytic activation with dermoscopic and histological changes. OBJECTIVES: We investigated whether UV irradiation of nevi may influence electrical impedance spectroscopy (EIS) or convolution neural networks (CNN). METHODS: Prospective, controlled trial in 50 patients undergoing phototherapy (selective UV phototherapy (SUP), UVA1, SUP/UVA1, or PUVA). EIS (Nevisense, SciBase AB) and CNN scores (Moleanalyzer-Pro, FotoFinder Systems) of nevi were assessed before (V1) and after UV irradiation (V2). One nevus (nevus(irr)) was exposed to UV light, another UV-shielded (nevus(non)-(irr)). RESULTS: There were no significant differences in EIS scores of nevus(irr) before (2.99 [2.51–3.47]) and after irradiation (3.32 [2.86–3.78]; P = 0.163), which was on average 13.28 (range 4–47) days later. Similarly, UV-shielded nevus(non)-(irr) did not show significant changes of EIS scores (V1: 2.65 [2.19–3.11]), V2: 2.92 [2.50–3.34]; P = 0.094). Subgroup analysis by irradiation revealed a significant increase of EIS scores of nevus(irr) (V1: 2.69 [2.21–3.16], V2: 3.23 [2.72–3.73]; P = 0.044) and nevus(non)-(irr) (V1: 2.57 [2.07–3.07], V2: 3.03 [2.48–3.57]; P = 0.033) for patients receiving SUP. In contrast, CNN scores of nevus(irr) (P = 0.995) and nevus(non)-(irr) (P = 0.352) showed no significant differences before and after phototherapy. CONCLUSIONS: For the tested EIS system increased EIS scores were found in nevi exposed to SUP. In contrast, CNN results were more robust against UV exposure. |
format | Online Article Text |
id | pubmed-9681178 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Mattioli 1885 |
record_format | MEDLINE/PubMed |
spelling | pubmed-96811782022-12-02 UV Irradiation of Nevi: Impact on Performance of Electrical Impedance Spectroscopy and a Convolution Neural Network Winkler, Julia Katharina Haenssle, Holger Andreas Uhlmann, Lorenz Schweizer-Rick, Anissa Fink, Christine Dermatol Pract Concept Original Article INTRODUCTION: UV irradiation of nevi induces transient melanocytic activation with dermoscopic and histological changes. OBJECTIVES: We investigated whether UV irradiation of nevi may influence electrical impedance spectroscopy (EIS) or convolution neural networks (CNN). METHODS: Prospective, controlled trial in 50 patients undergoing phototherapy (selective UV phototherapy (SUP), UVA1, SUP/UVA1, or PUVA). EIS (Nevisense, SciBase AB) and CNN scores (Moleanalyzer-Pro, FotoFinder Systems) of nevi were assessed before (V1) and after UV irradiation (V2). One nevus (nevus(irr)) was exposed to UV light, another UV-shielded (nevus(non)-(irr)). RESULTS: There were no significant differences in EIS scores of nevus(irr) before (2.99 [2.51–3.47]) and after irradiation (3.32 [2.86–3.78]; P = 0.163), which was on average 13.28 (range 4–47) days later. Similarly, UV-shielded nevus(non)-(irr) did not show significant changes of EIS scores (V1: 2.65 [2.19–3.11]), V2: 2.92 [2.50–3.34]; P = 0.094). Subgroup analysis by irradiation revealed a significant increase of EIS scores of nevus(irr) (V1: 2.69 [2.21–3.16], V2: 3.23 [2.72–3.73]; P = 0.044) and nevus(non)-(irr) (V1: 2.57 [2.07–3.07], V2: 3.03 [2.48–3.57]; P = 0.033) for patients receiving SUP. In contrast, CNN scores of nevus(irr) (P = 0.995) and nevus(non)-(irr) (P = 0.352) showed no significant differences before and after phototherapy. CONCLUSIONS: For the tested EIS system increased EIS scores were found in nevi exposed to SUP. In contrast, CNN results were more robust against UV exposure. Mattioli 1885 2022-10-01 /pmc/articles/PMC9681178/ /pubmed/36534529 http://dx.doi.org/10.5826/dpc.1204a164 Text en ©2022 Winkler et al. https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (BY-NC-4.0), https://creativecommons.org/licenses/by-nc/4.0/, which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original authors and source are credited. |
spellingShingle | Original Article Winkler, Julia Katharina Haenssle, Holger Andreas Uhlmann, Lorenz Schweizer-Rick, Anissa Fink, Christine UV Irradiation of Nevi: Impact on Performance of Electrical Impedance Spectroscopy and a Convolution Neural Network |
title | UV Irradiation of Nevi: Impact on Performance of Electrical Impedance Spectroscopy and a Convolution Neural Network |
title_full | UV Irradiation of Nevi: Impact on Performance of Electrical Impedance Spectroscopy and a Convolution Neural Network |
title_fullStr | UV Irradiation of Nevi: Impact on Performance of Electrical Impedance Spectroscopy and a Convolution Neural Network |
title_full_unstemmed | UV Irradiation of Nevi: Impact on Performance of Electrical Impedance Spectroscopy and a Convolution Neural Network |
title_short | UV Irradiation of Nevi: Impact on Performance of Electrical Impedance Spectroscopy and a Convolution Neural Network |
title_sort | uv irradiation of nevi: impact on performance of electrical impedance spectroscopy and a convolution neural network |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9681178/ https://www.ncbi.nlm.nih.gov/pubmed/36534529 http://dx.doi.org/10.5826/dpc.1204a164 |
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