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Using Technology to Detect Erythema Across Skin Tones
OBJECTIVE: To examine the effectiveness of the ColorMeter DSM III (ColorMeter; Cortex Technology) at grouping individuals by skin tone and measuring erythema/skin discoloration after erythema induction across skin tones. METHODS: This pre/post experimental study induced erythema on a convenience sam...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10545068/ https://www.ncbi.nlm.nih.gov/pubmed/37729162 http://dx.doi.org/10.1097/ASW.0000000000000043 |
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author | Sonenblum, Sharon Eve Patel, Rahee Phrasavath, Sarah Xu, Sharon Bates-Jensen, Barbara M. |
author_facet | Sonenblum, Sharon Eve Patel, Rahee Phrasavath, Sarah Xu, Sharon Bates-Jensen, Barbara M. |
author_sort | Sonenblum, Sharon Eve |
collection | PubMed |
description | OBJECTIVE: To examine the effectiveness of the ColorMeter DSM III (ColorMeter; Cortex Technology) at grouping individuals by skin tone and measuring erythema/skin discoloration after erythema induction across skin tones. METHODS: This pre/post experimental study induced erythema on a convenience sample of 61 healthy adults. Skin tone at baseline was measured using the ColorMeter, Munsell Soil Color Chart 5YR (Munsell), and Pantone SkinTone Guide (Pantone) and compared with the Eumelanin Human Skin Colour Scale (Eumelanin Scale) groupings. Erythema and melanin values on the arm immediately and after recovery time were compared with baseline values. Melanin was measured at five body regions on the face and arm. RESULTS: Participants were predominantly women (64% [n = 39] women, 36% [n = 22] men) and young (mean, 28.8 ± 14.3 years); 5% (n = 3) were Hispanic, 26% (n = 16) Asian, 29% (n = 18) Black, 38% (n = 23) White, and 7% (n = 4) identified with more than one race. ColorMeter lightness (L*) and melanin measures were strongly correlated with both Munsell and Pantone values. Munsell skin tone groups were not aligned with Eumelanin Scale groupings. Most participants were in the Eumelanin intermediate-low group, and this changed depending on which body location melanin value was used. The change in erythema from baseline did not differ significantly across skin tone groups at the ulnar head, but on the forearm at the delayed time point, significant differences existed between light and both medium and dark skin tone groups (P = .001; 95% CI, 0.04-0.37). CONCLUSIONS: The ColorMeter provides an effective objective measure of skin tone and erythema/discoloration across various skin tones and may improve on current standards for detection. The proposed Eumelanin Scale–Modified provides additional sensitivity for persons with medium skin tones. |
format | Online Article Text |
id | pubmed-10545068 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-105450682023-10-03 Using Technology to Detect Erythema Across Skin Tones Sonenblum, Sharon Eve Patel, Rahee Phrasavath, Sarah Xu, Sharon Bates-Jensen, Barbara M. Adv Skin Wound Care Original Investigations OBJECTIVE: To examine the effectiveness of the ColorMeter DSM III (ColorMeter; Cortex Technology) at grouping individuals by skin tone and measuring erythema/skin discoloration after erythema induction across skin tones. METHODS: This pre/post experimental study induced erythema on a convenience sample of 61 healthy adults. Skin tone at baseline was measured using the ColorMeter, Munsell Soil Color Chart 5YR (Munsell), and Pantone SkinTone Guide (Pantone) and compared with the Eumelanin Human Skin Colour Scale (Eumelanin Scale) groupings. Erythema and melanin values on the arm immediately and after recovery time were compared with baseline values. Melanin was measured at five body regions on the face and arm. RESULTS: Participants were predominantly women (64% [n = 39] women, 36% [n = 22] men) and young (mean, 28.8 ± 14.3 years); 5% (n = 3) were Hispanic, 26% (n = 16) Asian, 29% (n = 18) Black, 38% (n = 23) White, and 7% (n = 4) identified with more than one race. ColorMeter lightness (L*) and melanin measures were strongly correlated with both Munsell and Pantone values. Munsell skin tone groups were not aligned with Eumelanin Scale groupings. Most participants were in the Eumelanin intermediate-low group, and this changed depending on which body location melanin value was used. The change in erythema from baseline did not differ significantly across skin tone groups at the ulnar head, but on the forearm at the delayed time point, significant differences existed between light and both medium and dark skin tone groups (P = .001; 95% CI, 0.04-0.37). CONCLUSIONS: The ColorMeter provides an effective objective measure of skin tone and erythema/discoloration across various skin tones and may improve on current standards for detection. The proposed Eumelanin Scale–Modified provides additional sensitivity for persons with medium skin tones. Lippincott Williams & Wilkins 2023-10 2023-09-14 /pmc/articles/PMC10545068/ /pubmed/37729162 http://dx.doi.org/10.1097/ASW.0000000000000043 Text en Copyright © 2023 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. |
spellingShingle | Original Investigations Sonenblum, Sharon Eve Patel, Rahee Phrasavath, Sarah Xu, Sharon Bates-Jensen, Barbara M. Using Technology to Detect Erythema Across Skin Tones |
title | Using Technology to Detect Erythema Across Skin Tones |
title_full | Using Technology to Detect Erythema Across Skin Tones |
title_fullStr | Using Technology to Detect Erythema Across Skin Tones |
title_full_unstemmed | Using Technology to Detect Erythema Across Skin Tones |
title_short | Using Technology to Detect Erythema Across Skin Tones |
title_sort | using technology to detect erythema across skin tones |
topic | Original Investigations |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10545068/ https://www.ncbi.nlm.nih.gov/pubmed/37729162 http://dx.doi.org/10.1097/ASW.0000000000000043 |
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