用于在临床上区分皮肤癌与良性皮肤病变和炎症性皮肤病的便携式系统

Michel Nieuwoudt , Paul Jarrett , Hannah Matthews , Michelle Locke , Marco Bonesi , Brydon Burnett , Hannah Holtkamp , Claude Aguergaray , Ira Mautner , Thom Minnee , M. Cather Simpson
{"title":"用于在临床上区分皮肤癌与良性皮肤病变和炎症性皮肤病的便携式系统","authors":"Michel Nieuwoudt ,&nbsp;Paul Jarrett ,&nbsp;Hannah Matthews ,&nbsp;Michelle Locke ,&nbsp;Marco Bonesi ,&nbsp;Brydon Burnett ,&nbsp;Hannah Holtkamp ,&nbsp;Claude Aguergaray ,&nbsp;Ira Mautner ,&nbsp;Thom Minnee ,&nbsp;M. Cather Simpson","doi":"10.1016/j.xjidi.2023.100238","DOIUrl":null,"url":null,"abstract":"<div><p>The exquisite sensitivity of Raman spectroscopy for detecting biomolecular changes in skin cancer has previously been explored; however, this mostly required analysis of excised tissue samples using bulky, immobile laboratory instrumentation. In this study, the technique was translated for clinical use with a portable Raman system and customized fiber optic probe and applied to differentiation of skin cancers from benign lesions and inflammatory dermatoses. The aim was to provide an easy-to-use, easy-to-manage assessment tool for clinicians to use in their daily patient examination routine to perform rapid Raman measurements of skin lesions in vivo. Using this system, &gt;867 spectra were measured in vivo from 330 patients with a wide variety of different benign skin lesions (n = 603), inflammatory dermatoses (n = 140), and skin cancers (n = 124). Ethnicities represented were 70% European; 16% Asian; 6% Māori; 5% Pacific people; and 4% Middle East, Latin American, and African. Accurate differentiation of skin cancers from benign lesions and inflammatory dermatoses was achieved using partial least squares discriminant analysis, with area under curve for the receiver operator curves for external validation sets ranging from 0.916 to 0.958. This study shows evidence for robust clinical translation of Raman spectroscopy for rapid, accurate diagnosis of skin cancer.</p></div>","PeriodicalId":73548,"journal":{"name":"JID innovations : skin science from molecules to population health","volume":"4 1","pages":"Article 100238"},"PeriodicalIF":0.0000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667026723000644/pdfft?md5=27035fe51a51ec08108ee2d135bb69b9&pid=1-s2.0-S2667026723000644-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Portable System for In-Clinic Differentiation of Skin Cancers from Benign Skin Lesions and Inflammatory Dermatoses\",\"authors\":\"Michel Nieuwoudt ,&nbsp;Paul Jarrett ,&nbsp;Hannah Matthews ,&nbsp;Michelle Locke ,&nbsp;Marco Bonesi ,&nbsp;Brydon Burnett ,&nbsp;Hannah Holtkamp ,&nbsp;Claude Aguergaray ,&nbsp;Ira Mautner ,&nbsp;Thom Minnee ,&nbsp;M. Cather Simpson\",\"doi\":\"10.1016/j.xjidi.2023.100238\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The exquisite sensitivity of Raman spectroscopy for detecting biomolecular changes in skin cancer has previously been explored; however, this mostly required analysis of excised tissue samples using bulky, immobile laboratory instrumentation. In this study, the technique was translated for clinical use with a portable Raman system and customized fiber optic probe and applied to differentiation of skin cancers from benign lesions and inflammatory dermatoses. The aim was to provide an easy-to-use, easy-to-manage assessment tool for clinicians to use in their daily patient examination routine to perform rapid Raman measurements of skin lesions in vivo. Using this system, &gt;867 spectra were measured in vivo from 330 patients with a wide variety of different benign skin lesions (n = 603), inflammatory dermatoses (n = 140), and skin cancers (n = 124). Ethnicities represented were 70% European; 16% Asian; 6% Māori; 5% Pacific people; and 4% Middle East, Latin American, and African. Accurate differentiation of skin cancers from benign lesions and inflammatory dermatoses was achieved using partial least squares discriminant analysis, with area under curve for the receiver operator curves for external validation sets ranging from 0.916 to 0.958. This study shows evidence for robust clinical translation of Raman spectroscopy for rapid, accurate diagnosis of skin cancer.</p></div>\",\"PeriodicalId\":73548,\"journal\":{\"name\":\"JID innovations : skin science from molecules to population health\",\"volume\":\"4 1\",\"pages\":\"Article 100238\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2667026723000644/pdfft?md5=27035fe51a51ec08108ee2d135bb69b9&pid=1-s2.0-S2667026723000644-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"JID innovations : skin science from molecules to population health\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2667026723000644\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"JID innovations : skin science from molecules to population health","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2667026723000644","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

拉曼光谱在检测皮肤癌的生物分子变化方面具有极高的灵敏度,此前已有人对其进行过探索;不过,这主要需要使用笨重、不可移动的实验室仪器对切除的组织样本进行分析。本研究利用便携式拉曼系统和定制的光纤探针将该技术转化为临床用途,并将其应用于区分皮肤癌与良性病变和炎症性皮肤病。其目的是为临床医生提供一种易于使用、易于管理的评估工具,使他们能够在日常的病人检查中使用该工具对体内的皮肤病变进行快速拉曼测量。利用该系统,对 330 名患有各种不同良性皮肤病变(n = 603)、炎症性皮肤病(n = 140)和皮肤癌(n = 124)的患者的 867 个光谱进行了活体测量。所代表的种族包括 70% 的欧洲人;16% 的亚洲人;6% 的毛利人;5% 的太平洋人;以及 4% 的中东人、拉丁美洲人和非洲人。使用偏最小二乘判别分析法可以准确地区分皮肤癌与良性病变和炎症性皮肤病,外部验证集的接收器运算曲线下面积为 0.916 至 0.958。这项研究表明,拉曼光谱可用于临床快速、准确地诊断皮肤癌。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Portable System for In-Clinic Differentiation of Skin Cancers from Benign Skin Lesions and Inflammatory Dermatoses

The exquisite sensitivity of Raman spectroscopy for detecting biomolecular changes in skin cancer has previously been explored; however, this mostly required analysis of excised tissue samples using bulky, immobile laboratory instrumentation. In this study, the technique was translated for clinical use with a portable Raman system and customized fiber optic probe and applied to differentiation of skin cancers from benign lesions and inflammatory dermatoses. The aim was to provide an easy-to-use, easy-to-manage assessment tool for clinicians to use in their daily patient examination routine to perform rapid Raman measurements of skin lesions in vivo. Using this system, >867 spectra were measured in vivo from 330 patients with a wide variety of different benign skin lesions (n = 603), inflammatory dermatoses (n = 140), and skin cancers (n = 124). Ethnicities represented were 70% European; 16% Asian; 6% Māori; 5% Pacific people; and 4% Middle East, Latin American, and African. Accurate differentiation of skin cancers from benign lesions and inflammatory dermatoses was achieved using partial least squares discriminant analysis, with area under curve for the receiver operator curves for external validation sets ranging from 0.916 to 0.958. This study shows evidence for robust clinical translation of Raman spectroscopy for rapid, accurate diagnosis of skin cancer.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
4.00
自引率
0.00%
发文量
0
审稿时长
8 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信