Validation and translation of a non-invasive, MR-guided breast cancer therapy
非侵入性、MR 引导的乳腺癌疗法的验证和转化
基本信息
- 批准号:10328883
- 负责人:
- 金额:$ 53.7万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2018
- 资助国家:美国
- 起止时间:2018-02-01 至 2023-01-31
- 项目状态:已结题
- 来源:
- 关键词:AblationAlgorithmsAlprostadilBreastBreast Cancer PatientBreast Cancer TreatmentBreast Cancer therapyBreast DiseasesCicatrixClinicClinicalClinical TreatmentClinical TrialsCollaborationsComputer softwareDataEarly treatmentElementsEnsureEnvironmentFatty acid glycerol estersFiber OpticsFocused UltrasoundGadoliniumGoldHistologyHistopathologyImageImpairmentIndustrializationIndustryInfectionInstitutionInterventionKnowledgeMagnetic ResonanceMagnetic Resonance ImagingMeasurementMethodologyMethodsModelingMonitorMorbidity - disease rateOperative Surgical ProceduresPatientsPhasePhase I Clinical TrialsPlanning TechniquesProceduresProcessRecoveryResearch PersonnelResourcesSafetyScanningScientistSiteSystemSystems IntegrationTechniquesTechnologyTemperatureThermometryTimeTissuesTranslatingTranslationsUniversitiesUtahValidationWorkaqueousbaseclinical careclinical translationcostexperiencehigh resolution imagingimage guidedimage guided therapyimprovedin vivoin vivo Modelindustry partnerinnovationmalignant breast neoplasmminimally invasivenecrotic tissuenon-invasive imagingnon-invasive systemnovelpre-clinicalpreclinical evaluationprototypepsychological distressreal time monitoringsimulationtooltreatment planningtumorultrasound
项目摘要
The treatment of early stage, localized breast cancer has evolved over several decades from highly invasive
techniques to minimally invasive, breast-conserving therapies. Our breast-specific magnetic resonance-guided
focused ultrasound system – the “Muse” MRgFUS System – non-invasively delivers focused energy deep
inside the body under high-resolution image guidance. The technical advances we have made poise MRgFUS
as a nearly ready non-invasive ablation treatment for localized breast disease. The final steps for its clinical
translation include studies to compare, optimize and carefully validate treatment planning, real-time monitoring
and assessment techniques against the best available standard metrics, which include invasive temperature
probes, hydrophone measurements and histopathology. This proposal pairs experienced academic
investigators at the University of Utah with industry investigators at Image Guided Therapy. Combining the
academic partner's scientific expertise and technological knowledge with the system integration and regulatory
expertise of the industry partner will facilitate translation of this exciting technology. This proposal will develop
and validate the remaining elements necessary to translate the Muse System into clinical care including: 1)
accurate MRgFUS treatment planning based on a rapid ultrasound beam modeling method, 2) a
comprehensive breast-focused volumetric MR thermometry method, and 3) a novel MRI-registered whole
mount histology technique that compares MRI metrics to histopathological analysis. We will integrate each of
these validated elements in a clinic-ready, treatment software control environment and will evaluate the entire
process in a Phase I treat-and-resect clinical trial targeting unifocal invasive breast cancer tumors. The
validation and translation of the Muse System in this proposal will provide an exciting new image-guided non-
invasive treatment option for breast cancer patients.
早期局部乳腺癌的治疗已经从高度侵袭性发展了几十年,
微创保乳治疗技术。我们的乳腺特异性磁共振引导
聚焦超声系统-“Muse”MRgFUS系统-非侵入性地将聚焦能量输送到深部
在高分辨率图像引导下进入体内我们取得的技术进步使MRgFUS
作为局部乳腺疾病的一种几乎现成的非侵入性消融治疗。其临床的最后步骤
翻译包括研究,以比较,优化和仔细验证治疗计划,实时监测,
和评估技术对最好的可用标准度量,其中包括侵入性温度
探针、水听器测量和组织病理学。这一建议对经验丰富的学术
犹他州大学的研究人员和影像引导治疗的行业研究人员。结合
学术合作伙伴的科学专业知识和技术知识与系统集成和监管
行业合作伙伴的专业知识将促进这一令人兴奋的技术的翻译。该提案将发展
并验证将Muse系统转化为临床护理所需的其余要素,包括:1)
基于快速超声束建模方法的精确MRgFUS治疗计划,2)a
全面的乳房聚焦体积MR测温方法,和3)一种新的MRI注册的整体
将MRI指标与组织病理学分析进行比较的组织学技术。我们将整合每一个
这些经过验证的元素在一个临床准备,治疗软件控制环境,并将评估整个
在针对单灶性浸润性乳腺癌肿瘤的I期治疗和切除临床试验中的过程。的
验证和翻译的缪斯系统在这个建议将提供一个令人兴奋的新的图像引导非,
乳腺癌患者的侵入性治疗选择。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(1)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Allison Payne其他文献
Allison Payne的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Allison Payne', 18)}}的其他基金
Validation and translation of a non-invasive, MR-guided breast cancer therapy
非侵入性、MR 引导的乳腺癌疗法的验证和转化
- 批准号:
10439144 - 财政年份:2023
- 资助金额:
$ 53.7万 - 项目类别:
相似海外基金
DMS-EPSRC: Asymptotic Analysis of Online Training Algorithms in Machine Learning: Recurrent, Graphical, and Deep Neural Networks
DMS-EPSRC:机器学习中在线训练算法的渐近分析:循环、图形和深度神经网络
- 批准号:
EP/Y029089/1 - 财政年份:2024
- 资助金额:
$ 53.7万 - 项目类别:
Research Grant
CAREER: Blessing of Nonconvexity in Machine Learning - Landscape Analysis and Efficient Algorithms
职业:机器学习中非凸性的祝福 - 景观分析和高效算法
- 批准号:
2337776 - 财政年份:2024
- 资助金额:
$ 53.7万 - 项目类别:
Continuing Grant
CAREER: From Dynamic Algorithms to Fast Optimization and Back
职业:从动态算法到快速优化并返回
- 批准号:
2338816 - 财政年份:2024
- 资助金额:
$ 53.7万 - 项目类别:
Continuing Grant
CAREER: Structured Minimax Optimization: Theory, Algorithms, and Applications in Robust Learning
职业:结构化极小极大优化:稳健学习中的理论、算法和应用
- 批准号:
2338846 - 财政年份:2024
- 资助金额:
$ 53.7万 - 项目类别:
Continuing Grant
CRII: SaTC: Reliable Hardware Architectures Against Side-Channel Attacks for Post-Quantum Cryptographic Algorithms
CRII:SaTC:针对后量子密码算法的侧通道攻击的可靠硬件架构
- 批准号:
2348261 - 财政年份:2024
- 资助金额:
$ 53.7万 - 项目类别:
Standard Grant
CRII: AF: The Impact of Knowledge on the Performance of Distributed Algorithms
CRII:AF:知识对分布式算法性能的影响
- 批准号:
2348346 - 财政年份:2024
- 资助金额:
$ 53.7万 - 项目类别:
Standard Grant
CRII: CSR: From Bloom Filters to Noise Reduction Streaming Algorithms
CRII:CSR:从布隆过滤器到降噪流算法
- 批准号:
2348457 - 财政年份:2024
- 资助金额:
$ 53.7万 - 项目类别:
Standard Grant
EAGER: Search-Accelerated Markov Chain Monte Carlo Algorithms for Bayesian Neural Networks and Trillion-Dimensional Problems
EAGER:贝叶斯神经网络和万亿维问题的搜索加速马尔可夫链蒙特卡罗算法
- 批准号:
2404989 - 财政年份:2024
- 资助金额:
$ 53.7万 - 项目类别:
Standard Grant
CAREER: Efficient Algorithms for Modern Computer Architecture
职业:现代计算机架构的高效算法
- 批准号:
2339310 - 财政年份:2024
- 资助金额:
$ 53.7万 - 项目类别:
Continuing Grant
CAREER: Improving Real-world Performance of AI Biosignal Algorithms
职业:提高人工智能生物信号算法的实际性能
- 批准号:
2339669 - 财政年份:2024
- 资助金额:
$ 53.7万 - 项目类别:
Continuing Grant