The correlation between dermoscopy and clinical and pathological tests in the evaluation of skin photoaging

Background There are no standards for evaluating skin photoaging. Dermoscopy is a non‐invasive detection method that might be useful for evaluating photoaging. Objective To assess the correlation between the dermoscopic evaluation of photoaging and clinical and pathological evaluations. Methods The...

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Veröffentlicht in:Skin research and technology 2024-01, Vol.30 (1), p.e13578-n/a
Hauptverfasser: Zhao, Jie, Zhang, Xun, Tang, Qiao, Bi, Yunfeng, Yuan, Limei, Yang, Binbin, Cai, Mei, Zhang, Jianzhong, Deng, Danqi, Cao, Wenting
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container_issue 1
container_start_page e13578
container_title Skin research and technology
container_volume 30
creator Zhao, Jie
Zhang, Xun
Tang, Qiao
Bi, Yunfeng
Yuan, Limei
Yang, Binbin
Cai, Mei
Zhang, Jianzhong
Deng, Danqi
Cao, Wenting
description Background There are no standards for evaluating skin photoaging. Dermoscopy is a non‐invasive detection method that might be useful for evaluating photoaging. Objective To assess the correlation between the dermoscopic evaluation of photoaging and clinical and pathological evaluations. Methods The age, clinical evaluation (Fitzpatrick classification, Glogau Photoaging Classification, and Chung's standardized image ruler), histopathology (Masson staining and MMP‐1 immunohistochemistry), and dermoscopy (Hu's and Isik's) of 40 donor skin samples were analyzed statistically, and Spearman rank correlation analysis was performed. Results There was a robust correlation between the total Hu scores and Isik dermoscopy. The correlation of dermoscopy with histopathology was higher than that of clinical evaluation methods. There is a strong correlation between telangiectases and lentigo. Xerosis, superficial wrinkle, diffuse erythema, telangiectases, and reticular pigmentation were significantly correlated with the three clinical evaluation methods. Superficial wrinkles were correlated with Masson, MMP‐1, various clinical indicators, and other dermoscopic items. Conclusion There is a good correlation between dermoscopy and clinical and histopathological examination. Dermoscopy might help evaluate skin photoaging.
doi_str_mv 10.1111/srt.13578
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Dermoscopy is a non‐invasive detection method that might be useful for evaluating photoaging. Objective To assess the correlation between the dermoscopic evaluation of photoaging and clinical and pathological evaluations. Methods The age, clinical evaluation (Fitzpatrick classification, Glogau Photoaging Classification, and Chung's standardized image ruler), histopathology (Masson staining and MMP‐1 immunohistochemistry), and dermoscopy (Hu's and Isik's) of 40 donor skin samples were analyzed statistically, and Spearman rank correlation analysis was performed. Results There was a robust correlation between the total Hu scores and Isik dermoscopy. The correlation of dermoscopy with histopathology was higher than that of clinical evaluation methods. There is a strong correlation between telangiectases and lentigo. Xerosis, superficial wrinkle, diffuse erythema, telangiectases, and reticular pigmentation were significantly correlated with the three clinical evaluation methods. Superficial wrinkles were correlated with Masson, MMP‐1, various clinical indicators, and other dermoscopic items. Conclusion There is a good correlation between dermoscopy and clinical and histopathological examination. Dermoscopy might help evaluate skin photoaging.</description><identifier>ISSN: 0909-752X</identifier><identifier>EISSN: 1600-0846</identifier><identifier>DOI: 10.1111/srt.13578</identifier><identifier>PMID: 38221782</identifier><language>eng</language><publisher>England: John Wiley &amp; Sons, Inc</publisher><subject>Classification ; clinical evaluation ; correlation ; Correlation analysis ; dermoscope ; Dermoscopy - methods ; Erythema ; Evaluation ; Histopathology ; Humans ; Immunohistochemistry ; Lentigo ; Matrix Metalloproteinase 1 ; Original ; Pigmentation ; Skin ; Skin Aging ; Skin Neoplasms - pathology ; skin photoaging ; Statistical analysis ; Telangiectasis - diagnostic imaging</subject><ispartof>Skin research and technology, 2024-01, Vol.30 (1), p.e13578-n/a</ispartof><rights>2024 The Authors. published by John Wiley &amp; Sons Ltd.</rights><rights>2024 The Authors. Skin Research and Technology published by John Wiley &amp; Sons Ltd.</rights><rights>2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the "License"). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4988-e2017af5a8e8dc8fa0a1218d74caa2055dec48454a96ed6c934fd92f336f54373</citedby><cites>FETCH-LOGICAL-c4988-e2017af5a8e8dc8fa0a1218d74caa2055dec48454a96ed6c934fd92f336f54373</cites><orcidid>0000-0002-9668-7454</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10788580/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10788580/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,1416,11560,27922,27923,45572,45573,46050,46474,53789,53791</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38221782$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhao, Jie</creatorcontrib><creatorcontrib>Zhang, Xun</creatorcontrib><creatorcontrib>Tang, Qiao</creatorcontrib><creatorcontrib>Bi, Yunfeng</creatorcontrib><creatorcontrib>Yuan, Limei</creatorcontrib><creatorcontrib>Yang, Binbin</creatorcontrib><creatorcontrib>Cai, Mei</creatorcontrib><creatorcontrib>Zhang, Jianzhong</creatorcontrib><creatorcontrib>Deng, Danqi</creatorcontrib><creatorcontrib>Cao, Wenting</creatorcontrib><title>The correlation between dermoscopy and clinical and pathological tests in the evaluation of skin photoaging</title><title>Skin research and technology</title><addtitle>Skin Res Technol</addtitle><description>Background There are no standards for evaluating skin photoaging. Dermoscopy is a non‐invasive detection method that might be useful for evaluating photoaging. Objective To assess the correlation between the dermoscopic evaluation of photoaging and clinical and pathological evaluations. Methods The age, clinical evaluation (Fitzpatrick classification, Glogau Photoaging Classification, and Chung's standardized image ruler), histopathology (Masson staining and MMP‐1 immunohistochemistry), and dermoscopy (Hu's and Isik's) of 40 donor skin samples were analyzed statistically, and Spearman rank correlation analysis was performed. Results There was a robust correlation between the total Hu scores and Isik dermoscopy. The correlation of dermoscopy with histopathology was higher than that of clinical evaluation methods. There is a strong correlation between telangiectases and lentigo. Xerosis, superficial wrinkle, diffuse erythema, telangiectases, and reticular pigmentation were significantly correlated with the three clinical evaluation methods. Superficial wrinkles were correlated with Masson, MMP‐1, various clinical indicators, and other dermoscopic items. Conclusion There is a good correlation between dermoscopy and clinical and histopathological examination. 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Dermoscopy is a non‐invasive detection method that might be useful for evaluating photoaging. Objective To assess the correlation between the dermoscopic evaluation of photoaging and clinical and pathological evaluations. Methods The age, clinical evaluation (Fitzpatrick classification, Glogau Photoaging Classification, and Chung's standardized image ruler), histopathology (Masson staining and MMP‐1 immunohistochemistry), and dermoscopy (Hu's and Isik's) of 40 donor skin samples were analyzed statistically, and Spearman rank correlation analysis was performed. Results There was a robust correlation between the total Hu scores and Isik dermoscopy. The correlation of dermoscopy with histopathology was higher than that of clinical evaluation methods. There is a strong correlation between telangiectases and lentigo. Xerosis, superficial wrinkle, diffuse erythema, telangiectases, and reticular pigmentation were significantly correlated with the three clinical evaluation methods. Superficial wrinkles were correlated with Masson, MMP‐1, various clinical indicators, and other dermoscopic items. Conclusion There is a good correlation between dermoscopy and clinical and histopathological examination. Dermoscopy might help evaluate skin photoaging.</abstract><cop>England</cop><pub>John Wiley &amp; Sons, Inc</pub><pmid>38221782</pmid><doi>10.1111/srt.13578</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0002-9668-7454</orcidid><oa>free_for_read</oa></addata></record>
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source MEDLINE; Wiley Online Library Open Access; EZB-FREE-00999 freely available EZB journals; Wiley Online Library All Journals; PubMed Central
subjects Classification
clinical evaluation
correlation
Correlation analysis
dermoscope
Dermoscopy - methods
Erythema
Evaluation
Histopathology
Humans
Immunohistochemistry
Lentigo
Matrix Metalloproteinase 1
Original
Pigmentation
Skin
Skin Aging
Skin Neoplasms - pathology
skin photoaging
Statistical analysis
Telangiectasis - diagnostic imaging
title The correlation between dermoscopy and clinical and pathological tests in the evaluation of skin photoaging
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