[Personalized profiling in the field of senology].

Radiologie (Heidelberg, Germany) Pub Date : 2025-03-01 Epub Date: 2025-01-22 DOI:10.1007/s00117-024-01410-0
Annika S Behrens, Matthias W Beckmann, Peter A Fasching, Hanna Huebner, Julius Emons
{"title":"[Personalized profiling in the field of senology].","authors":"Annika S Behrens, Matthias W Beckmann, Peter A Fasching, Hanna Huebner, Julius Emons","doi":"10.1007/s00117-024-01410-0","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The concept of personalized medicine is becoming increasingly important. The possibilities of diagnostics include not only genetic and molecular tumor profiles, but also the use of precise and individual imaging techniques.</p><p><strong>Objectives: </strong>The development and implementation of suitable diagnostic procedures with high sensitivity and specificity, which are at the same time tailored to the individual risk factors and biological characteristics of the patient, remain a challenge.</p><p><strong>Materials and methods: </strong>To enable personalized profiling, comprehensive diagnostics must be established that take into account all parameters such as imaging, molecular and genetic markers as well as real-world data and the use of artificial intelligence. This article sheds light on different approaches to personalized diagnostics in breast cancer and highlights the current clinical standard, innovative areas of research and the resulting challenges.</p><p><strong>Conclusion: </strong>The highest hurdles for newer imaging techniques are the standardization of image analysis and the validation of these techniques in large clinical trials. The use of artificial intelligence requires not only appropriate technical and medical expertise, but also a sensitive approach to issues such as data protection and patient privacy. Real-world registries offer insights into real world treatment situations and are therefore of great importance.</p>","PeriodicalId":74635,"journal":{"name":"Radiologie (Heidelberg, Germany)","volume":" ","pages":"194-200"},"PeriodicalIF":0.0000,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Radiologie (Heidelberg, Germany)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s00117-024-01410-0","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/22 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Background: The concept of personalized medicine is becoming increasingly important. The possibilities of diagnostics include not only genetic and molecular tumor profiles, but also the use of precise and individual imaging techniques.

Objectives: The development and implementation of suitable diagnostic procedures with high sensitivity and specificity, which are at the same time tailored to the individual risk factors and biological characteristics of the patient, remain a challenge.

Materials and methods: To enable personalized profiling, comprehensive diagnostics must be established that take into account all parameters such as imaging, molecular and genetic markers as well as real-world data and the use of artificial intelligence. This article sheds light on different approaches to personalized diagnostics in breast cancer and highlights the current clinical standard, innovative areas of research and the resulting challenges.

Conclusion: The highest hurdles for newer imaging techniques are the standardization of image analysis and the validation of these techniques in large clinical trials. The use of artificial intelligence requires not only appropriate technical and medical expertise, but also a sensitive approach to issues such as data protection and patient privacy. Real-world registries offer insights into real world treatment situations and are therefore of great importance.

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
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
[New innovations in cross-sectional imaging diagnostics of the aorta]. Mitteilungen des Berufsverbandes der Deutschen Radiologie. [Multiparametric magnetic resonance imaging of the breast : What can we expect from the future?] [Importance of parametric and molecular imaging for therapeutic management of breast cancer]. [Parametric imaging in breast diagnostics : Computed tomography].
×
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