{"title":"关于 \"拉曼光谱结合多元统计算法同时筛查宫颈癌和乳腺癌 \"的评论。","authors":"Ivan A Bratchenko, Lyudmila A Bratchenko","doi":"10.1007/s10103-024-04152-6","DOIUrl":null,"url":null,"abstract":"<p><p>This article discusses current research on the detection of cervical and breast cancer using in vitro Raman spectral analysis of human serum by Cao et al. (2024) which was published in the Lasers in Medical Science journal. Despite the high accuracy of the suggested approach (93%), the demonstrated findings could be treated unclear due to possible overestimation of the classification models.</p>","PeriodicalId":17978,"journal":{"name":"Lasers in Medical Science","volume":null,"pages":null},"PeriodicalIF":2.1000,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comment on \\\"Raman spectroscopy combined with multivariate statistical algorithms for the simultaneous screening of cervical and breast cancers\\\".\",\"authors\":\"Ivan A Bratchenko, Lyudmila A Bratchenko\",\"doi\":\"10.1007/s10103-024-04152-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>This article discusses current research on the detection of cervical and breast cancer using in vitro Raman spectral analysis of human serum by Cao et al. (2024) which was published in the Lasers in Medical Science journal. Despite the high accuracy of the suggested approach (93%), the demonstrated findings could be treated unclear due to possible overestimation of the classification models.</p>\",\"PeriodicalId\":17978,\"journal\":{\"name\":\"Lasers in Medical Science\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2024-07-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Lasers in Medical Science\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1007/s10103-024-04152-6\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, BIOMEDICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Lasers in Medical Science","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1007/s10103-024-04152-6","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}
引用次数: 0
摘要
本文讨论了 Cao 等人(2024 年)目前利用体外拉曼光谱分析人血清检测宫颈癌和乳腺癌的研究,该研究发表在《激光医学科学》杂志上。尽管所建议的方法准确率很高(93%),但由于分类模型可能被高估,因此所展示的结果可能并不明确。
Comment on "Raman spectroscopy combined with multivariate statistical algorithms for the simultaneous screening of cervical and breast cancers".
This article discusses current research on the detection of cervical and breast cancer using in vitro Raman spectral analysis of human serum by Cao et al. (2024) which was published in the Lasers in Medical Science journal. Despite the high accuracy of the suggested approach (93%), the demonstrated findings could be treated unclear due to possible overestimation of the classification models.
期刊介绍:
Lasers in Medical Science (LIMS) has established itself as the leading international journal in the rapidly expanding field of medical and dental applications of lasers and light. It provides a forum for the publication of papers on the technical, experimental, and clinical aspects of the use of medical lasers, including lasers in surgery, endoscopy, angioplasty, hyperthermia of tumors, and photodynamic therapy. In addition to medical laser applications, LIMS presents high-quality manuscripts on a wide range of dental topics, including aesthetic dentistry, endodontics, orthodontics, and prosthodontics.
The journal publishes articles on the medical and dental applications of novel laser technologies, light delivery systems, sensors to monitor laser effects, basic laser-tissue interactions, and the modeling of laser-tissue interactions. Beyond laser applications, LIMS features articles relating to the use of non-laser light-tissue interactions.