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Identifying patterns behind the changes in skin pores using 3‐dimensional measurements and K‐means clustering

BACKGROUND: Skin pores are structural features of the skin, which tend to change as the skin ages. Since previous studies measured pores two‐dimensionally, precise measurements using three‐dimensional imaging were needed to comprehensively understand skin pores. This study aimed to determine the pat...

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Autores principales: Lee, Seongwoo, Cherel, Marie, Gougeon, Sarah, Jeong, Euitaek, LIM, Jun‐Man, Park, Sun Gyoo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9292708/
https://www.ncbi.nlm.nih.gov/pubmed/34411370
http://dx.doi.org/10.1111/srt.13082
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author Lee, Seongwoo
Cherel, Marie
Gougeon, Sarah
Jeong, Euitaek
LIM, Jun‐Man
Park, Sun Gyoo
author_facet Lee, Seongwoo
Cherel, Marie
Gougeon, Sarah
Jeong, Euitaek
LIM, Jun‐Man
Park, Sun Gyoo
author_sort Lee, Seongwoo
collection PubMed
description BACKGROUND: Skin pores are structural features of the skin, which tend to change as the skin ages. Since previous studies measured pores two‐dimensionally, precise measurements using three‐dimensional imaging were needed to comprehensively understand skin pores. This study aimed to determine the patterns behind the changes in skin pores during one's lifetime and to identify new characteristics of the pores in aged. MATERIALS AND METHODS: Skin surface profiles were measured three‐dimensionally from the cheeks of 101 Korean women from February to March 2020 to analyze the exact state of their pores. The researchers performed K‐means clustering to classify the skin pores, and topographical features of pores were analyzed as well. Statistical analyses were performed to verify the differences in the skin pore characteristics among clusters and the correlation between clusters and ages. RESULTS: Skin pores were classified into five groups based on size, density, and elongation. The skin conditions of the cluster groups were well correlated with aging, despite excluding age as a factor in pore classification. Adjacent skin pores tend to connect in the elderly. CONCLUSION: Skin pores become larger and longer over time. Skin pores connect together in the elderly, which might be related to wrinkle formation. This phenomenon strongly suggests skin pores as a characteristic of aging skin and as a potential target for anti‐aging treatment.
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spelling pubmed-92927082022-07-20 Identifying patterns behind the changes in skin pores using 3‐dimensional measurements and K‐means clustering Lee, Seongwoo Cherel, Marie Gougeon, Sarah Jeong, Euitaek LIM, Jun‐Man Park, Sun Gyoo Skin Res Technol Original Articles BACKGROUND: Skin pores are structural features of the skin, which tend to change as the skin ages. Since previous studies measured pores two‐dimensionally, precise measurements using three‐dimensional imaging were needed to comprehensively understand skin pores. This study aimed to determine the patterns behind the changes in skin pores during one's lifetime and to identify new characteristics of the pores in aged. MATERIALS AND METHODS: Skin surface profiles were measured three‐dimensionally from the cheeks of 101 Korean women from February to March 2020 to analyze the exact state of their pores. The researchers performed K‐means clustering to classify the skin pores, and topographical features of pores were analyzed as well. Statistical analyses were performed to verify the differences in the skin pore characteristics among clusters and the correlation between clusters and ages. RESULTS: Skin pores were classified into five groups based on size, density, and elongation. The skin conditions of the cluster groups were well correlated with aging, despite excluding age as a factor in pore classification. Adjacent skin pores tend to connect in the elderly. CONCLUSION: Skin pores become larger and longer over time. Skin pores connect together in the elderly, which might be related to wrinkle formation. This phenomenon strongly suggests skin pores as a characteristic of aging skin and as a potential target for anti‐aging treatment. John Wiley and Sons Inc. 2021-08-19 /pmc/articles/PMC9292708/ /pubmed/34411370 http://dx.doi.org/10.1111/srt.13082 Text en © 2021 LG Household and Health Care Ltd, Newtone Technologies. Skin Research and Technology published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Articles
Lee, Seongwoo
Cherel, Marie
Gougeon, Sarah
Jeong, Euitaek
LIM, Jun‐Man
Park, Sun Gyoo
Identifying patterns behind the changes in skin pores using 3‐dimensional measurements and K‐means clustering
title Identifying patterns behind the changes in skin pores using 3‐dimensional measurements and K‐means clustering
title_full Identifying patterns behind the changes in skin pores using 3‐dimensional measurements and K‐means clustering
title_fullStr Identifying patterns behind the changes in skin pores using 3‐dimensional measurements and K‐means clustering
title_full_unstemmed Identifying patterns behind the changes in skin pores using 3‐dimensional measurements and K‐means clustering
title_short Identifying patterns behind the changes in skin pores using 3‐dimensional measurements and K‐means clustering
title_sort identifying patterns behind the changes in skin pores using 3‐dimensional measurements and k‐means clustering
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9292708/
https://www.ncbi.nlm.nih.gov/pubmed/34411370
http://dx.doi.org/10.1111/srt.13082
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