一种用于乳腺癌诊断的无创多模态超声对比近红外光谱系统

K. Yan, T. Podder, Ke Huang, Yan Yu, L. Liao
{"title":"一种用于乳腺癌诊断的无创多模态超声对比近红外光谱系统","authors":"K. Yan, T. Podder, Ke Huang, Yan Yu, L. Liao","doi":"10.1109/BIBE.2010.55","DOIUrl":null,"url":null,"abstract":"We have developed a multimodal imaging system that combines three modalities, optical spectroscopy, ultrasonography and acoustic radiation force (ARF) for improving diagnosis of breast cancer based on noninvasive interrogation of vasculature. This paper presents a detailed system design. The safety issues regarding the use of laser and ultrasound have also been addressed in this paper. The maximum exposure to skin for laser was controlled within 0.2 W•cm-2 (ANSI Z136.1); exposure from ARF fields were maintained below the FDA diagnostic limit (0.72 W•cm-2). This multimodal system has the potential to improve tumor detection by deploying ARF to produce a measurable difference in the dynamic behavior of the tissue blood supply environment as interrogated by optical spectroscopy, which was demonstrated to be highly diagnostic in a murine tumor model. Pilot clinical study is being carried out.","PeriodicalId":330904,"journal":{"name":"2010 IEEE International Conference on BioInformatics and BioEngineering","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A Noninvasive Multimodal Sono-contrast NIR Spectroscopy System for Breast Cancer Diagnosis\",\"authors\":\"K. Yan, T. Podder, Ke Huang, Yan Yu, L. Liao\",\"doi\":\"10.1109/BIBE.2010.55\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We have developed a multimodal imaging system that combines three modalities, optical spectroscopy, ultrasonography and acoustic radiation force (ARF) for improving diagnosis of breast cancer based on noninvasive interrogation of vasculature. This paper presents a detailed system design. The safety issues regarding the use of laser and ultrasound have also been addressed in this paper. The maximum exposure to skin for laser was controlled within 0.2 W•cm-2 (ANSI Z136.1); exposure from ARF fields were maintained below the FDA diagnostic limit (0.72 W•cm-2). This multimodal system has the potential to improve tumor detection by deploying ARF to produce a measurable difference in the dynamic behavior of the tissue blood supply environment as interrogated by optical spectroscopy, which was demonstrated to be highly diagnostic in a murine tumor model. Pilot clinical study is being carried out.\",\"PeriodicalId\":330904,\"journal\":{\"name\":\"2010 IEEE International Conference on BioInformatics and BioEngineering\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE International Conference on BioInformatics and BioEngineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BIBE.2010.55\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE International Conference on BioInformatics and BioEngineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BIBE.2010.55","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

我们开发了一种多模态成像系统,结合了三种模式,光谱学,超声和声辐射力(ARF),以改善基于血管系统的无创诊断乳腺癌。本文给出了详细的系统设计。本文还讨论了激光和超声治疗的安全性问题。激光对皮肤的最大照射量控制在0.2 W•cm-2以内(ANSI Z136.1);ARF场暴露量维持在FDA诊断限值(0.72 W•cm-2)以下。这种多模态系统有可能通过部署ARF在组织血液供应环境的动态行为中产生可测量的差异来改善肿瘤检测,这在小鼠肿瘤模型中被证明是高度诊断的。正在进行临床试验研究。
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
A Noninvasive Multimodal Sono-contrast NIR Spectroscopy System for Breast Cancer Diagnosis
We have developed a multimodal imaging system that combines three modalities, optical spectroscopy, ultrasonography and acoustic radiation force (ARF) for improving diagnosis of breast cancer based on noninvasive interrogation of vasculature. This paper presents a detailed system design. The safety issues regarding the use of laser and ultrasound have also been addressed in this paper. The maximum exposure to skin for laser was controlled within 0.2 W•cm-2 (ANSI Z136.1); exposure from ARF fields were maintained below the FDA diagnostic limit (0.72 W•cm-2). This multimodal system has the potential to improve tumor detection by deploying ARF to produce a measurable difference in the dynamic behavior of the tissue blood supply environment as interrogated by optical spectroscopy, which was demonstrated to be highly diagnostic in a murine tumor model. Pilot clinical study is being carried out.
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
自引率
0.00%
发文量
0
期刊最新文献
Assessment of the Binding Characteristics of Human Immunodeficiency Virus Type 1 Glycoprotein120 and Host Cluster of Differentiation4 Using Digital Signal Processing Detection of Mild Cognitive Impairment Using Image Differences and Clinical Features Quantification and Analysis of Combination Drug Synergy in High-Throughput Transcriptome Studies Gene Set Analysis with Covariates A Comparative Study of a Novel AE-nLMS Filter and Two Traditional Filters in Predicting Respiration Induced Motion of the Tumor
×
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