剂量组学在医学图像分析中的应用及其在临床中的应用前景

V. Solodkiy, Nikolay V. Nudnov, Mikhail E. Ivannikov, Elina S-A. Shakhvalieva, Vladimir M. Sotnikov, Aleksei Yu. Smyslov
{"title":"剂量组学在医学图像分析中的应用及其在临床中的应用前景","authors":"V. Solodkiy, Nikolay V. Nudnov, Mikhail E. Ivannikov, Elina S-A. Shakhvalieva, Vladimir M. Sotnikov, Aleksei Yu. Smyslov","doi":"10.17816/dd420053","DOIUrl":null,"url":null,"abstract":"Background. In recent years, the number of articles using the term dosiomics has increased, but there are no literature reviews in Russian on this topic. \nAim. To describe the basic principles of dosiomics as a derivative of radiomics and to analyse studies devoted to assessing the possibilities of its application in clinical practice. \nMaterials and methods. A systematic literature search was performed in the PubMed database using the search query dosiomics OR dosiomic, and in the eLibrary database using the search query дозиомика. By April 2023, 43 foreign and 1 Russian articles had been published. \nResults. 43 foreign studies on the use of dosiomics in clinical practice and one Russian article with a definition of the term \"dosiomics\" were analysed. The analysed papers were divided into three groups according to their subject matter and two tables describing the results of 27 studies on the prediction of clinical outcomes were created. \nConclusion. Currently, dosiomics is a new and promising derivative of radiomics used in the textural analysis of medical images associated with radiation treatment of cancer patients. Dosiomics can contribute to the development of a more personalised approach to the planning of radiotherapy, the prediction of radiation damage of normal tissues and the diagnosis of recurrence.","PeriodicalId":34831,"journal":{"name":"Digital Diagnostics","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Dosiomics in the analysis of medical images and prospects for its use in clinical practice\",\"authors\":\"V. Solodkiy, Nikolay V. Nudnov, Mikhail E. Ivannikov, Elina S-A. Shakhvalieva, Vladimir M. Sotnikov, Aleksei Yu. Smyslov\",\"doi\":\"10.17816/dd420053\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background. In recent years, the number of articles using the term dosiomics has increased, but there are no literature reviews in Russian on this topic. \\nAim. To describe the basic principles of dosiomics as a derivative of radiomics and to analyse studies devoted to assessing the possibilities of its application in clinical practice. \\nMaterials and methods. A systematic literature search was performed in the PubMed database using the search query dosiomics OR dosiomic, and in the eLibrary database using the search query дозиомика. By April 2023, 43 foreign and 1 Russian articles had been published. \\nResults. 43 foreign studies on the use of dosiomics in clinical practice and one Russian article with a definition of the term \\\"dosiomics\\\" were analysed. The analysed papers were divided into three groups according to their subject matter and two tables describing the results of 27 studies on the prediction of clinical outcomes were created. \\nConclusion. Currently, dosiomics is a new and promising derivative of radiomics used in the textural analysis of medical images associated with radiation treatment of cancer patients. Dosiomics can contribute to the development of a more personalised approach to the planning of radiotherapy, the prediction of radiation damage of normal tissues and the diagnosis of recurrence.\",\"PeriodicalId\":34831,\"journal\":{\"name\":\"Digital Diagnostics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-08-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Digital Diagnostics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.17816/dd420053\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Digital Diagnostics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17816/dd420053","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

背景近年来,使用“剂量学”一词的文章数量有所增加,但没有关于这一主题的俄语文献综述。目标描述作为放射组学衍生物的剂量学的基本原理,并分析专门用于评估其在临床实践中应用的可能性的研究。材料和方法。使用检索查询dosiomics OR dosiomic在PubMed数据库中进行系统的文献检索,并使用检索查询дозиомика在电子图书馆数据库中进行检索。截至2023年4月,共发表了43篇外国文章和1篇俄罗斯文章。后果分析了43项关于在临床实践中使用剂量学的外国研究和一篇关于“剂量学”一词定义的俄罗斯文章。分析的论文根据主题分为三组,并创建了两个表格,描述了27项临床结果预测研究的结果。结论目前,剂量学是放射组学的一种新的和有前景的衍生物,用于癌症患者放射治疗相关医学图像的纹理分析。剂量学可以帮助开发一种更个性化的方法来规划放射治疗、预测正常组织的辐射损伤和诊断复发。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Dosiomics in the analysis of medical images and prospects for its use in clinical practice
Background. In recent years, the number of articles using the term dosiomics has increased, but there are no literature reviews in Russian on this topic. Aim. To describe the basic principles of dosiomics as a derivative of radiomics and to analyse studies devoted to assessing the possibilities of its application in clinical practice. Materials and methods. A systematic literature search was performed in the PubMed database using the search query dosiomics OR dosiomic, and in the eLibrary database using the search query дозиомика. By April 2023, 43 foreign and 1 Russian articles had been published. Results. 43 foreign studies on the use of dosiomics in clinical practice and one Russian article with a definition of the term "dosiomics" were analysed. The analysed papers were divided into three groups according to their subject matter and two tables describing the results of 27 studies on the prediction of clinical outcomes were created. Conclusion. Currently, dosiomics is a new and promising derivative of radiomics used in the textural analysis of medical images associated with radiation treatment of cancer patients. Dosiomics can contribute to the development of a more personalised approach to the planning of radiotherapy, the prediction of radiation damage of normal tissues and the diagnosis of recurrence.
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
1.30
自引率
0.00%
发文量
44
审稿时长
5 weeks
期刊最新文献
A new AI program for the automatic evaluation of scoliosis on frontal spinal radiographs: Accuracy, pros and cons. Conventional and innovative imaging modalities in Bladder Cancer: techniques and applications Possibilities and limitations of MRI diagnostics of endocervical adenocarcinomas of the cervix. An unknown situs viscerum inversus totalis, accidentally discovered after a CT scan The Role of Teleradiology in Interpretation of Ultrasounds Performed in the Emergency Setting
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1