Quantitative Imaging for Assessing Breast Cancer Response to Treatment
用于评估乳腺癌治疗反应的定量成像
基本信息
- 批准号:8537122
- 负责人:
- 金额:$ 51.63万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2011
- 资助国家:美国
- 起止时间:2011-09-26 至 2016-08-31
- 项目状态:已结题
- 来源:
- 关键词:AddressAmerican College of Radiology Imaging NetworkAreaBiological MarkersBreastCancer PatientClinical TrialsClinical Trials DatabaseCollaborationsComputer softwareCorrelative StudyDataDatabasesDevelopmentEffectivenessGenomicsGoalsImageImage AnalysisImaging PhantomsInformaticsLetrozoleLinkMagnetic Resonance ImagingMammary NeoplasmsMeasurementMeasuresMedicalMethodsMetricMolecular ProfilingNeoadjuvant TherapyNoninfiltrating Intraductal CarcinomaPatientsPharmaceutical PreparationsPhasePhase II Clinical TrialsPostmenopausePrincipal InvestigatorProcessProtocols documentationRandomizedRecruitment ActivityResearch InfrastructureSeriesSiteSystemTestingTissuesTranslatingTumor VolumeWomanarmbasecancer Biomedical Informatics Gridcancer therapychemotherapyclinical practiceclinically relevantcohortdesignimprovedmalignant breast neoplasmpatient populationprogramsprospectivequality assuranceresponsesoftware systemsstandard of caretreatment responsetreatment strategy
项目摘要
DESCRIPTION (provided by applicant): The goal of this project is the improved integration of MRI-based quantitative imaging (Ql) for evaluating response to treatment in clinical trials of women receiving pre-operative (neoadjuvant) treatment for breast cancer. We will build on the existing ISPY clinical trials program, which encompasses a series of breast cancer trials focused in the neoadjuvant setting. ISPY-1 started in 2002 with correlative studies of imaging and tissue biomarkers in association with standard of care chemotherapy and has evolved toward individualized treatment with targeted therapies. ISPY-2, which opened in March 2010, follows an adaptive phase II design to evaluate multiple targeted therapies for breast cancer. Randomization to the multiple treatment arms adapts based in part on the MRI measurement of tumor volume as a result of preliminary findings from ACRIN 6657, the imaging component of ISPY-1. The proposed Quantitative Imaging Network (QIN) project will focus in three areas critical to maximizing the effectiveness and reliability of Ql for evaluating drug treatment strategies for breast cancer. Under the first aim, we will develop a quality assurance (QA) process that will be used to implement more objective criteria for initial site qualification, ongoing assessment of image quality and exam acceptance for quantitative analysis. Under the second aim, we will conduct a repeatability study in a patient cohort similar to ISPY-2 to obtain important information about the variability of quantitative measurements made from breast MRI that can be used to improve the interpretation of response results. Under the third aim, we will test several new imaging metrics for predicting treatment response in both ISPY and a phase II trial of neoadjuvant letrozole for treatment of post- menopausal ER+ DCIS. This project will be conducted in partnership with the American College of Radiology Imaging Network (ACRIN) Imaging Core and industrial partner Sentinelle Medical, Inc. In order to maximize the efficiency with which products of this QIN project can be translated into clinical practice, both the ACRIN TRIAD informatics system and the Sentinelle Aegis software system will communicate with the ISPY-2 TRANSCEND informatics system linking imaging with the caBIG supported ISPY-2 trial database.
描述(由申请人提供):该项目的目标是改进基于 MRI 的定量成像 (Q1) 的集成,用于评估接受乳腺癌术前(新辅助)治疗的女性的临床试验中对治疗的反应。我们将建立在现有的 ISPY 临床试验计划的基础上,该计划包括一系列专注于新辅助治疗的乳腺癌试验。 ISPY-1 于 2002 年开始,对与标准护理化疗相关的影像学和组织生物标志物进行相关研究,并已发展为靶向治疗的个体化治疗。 ISPY-2 于 2010 年 3 月开业,采用适应性 II 期设计,以评估乳腺癌的多种靶向疗法。多个治疗组的随机化部分基于肿瘤体积的 MRI 测量,这是 ISPY-1 的成像组件 ACRIN 6657 的初步发现的结果。拟议的定量成像网络(QIN)项目将重点关注三个关键领域,这些领域对于最大限度地提高 Q1 评估乳腺癌药物治疗策略的有效性和可靠性至关重要。根据第一个目标,我们将开发一个质量保证 (QA) 流程,用于为初始站点资格、图像质量持续评估和定量分析考试验收实施更客观的标准。在第二个目标下,我们将在类似于 ISPY-2 的患者队列中进行重复性研究,以获得有关乳房 MRI 定量测量变异性的重要信息,这些信息可用于改进对反应结果的解释。在第三个目标下,我们将在 ISPY 和来曲唑新辅助治疗绝经后 ER+ DCIS 的 II 期试验中测试几种新的成像指标,用于预测治疗反应。该项目将与美国放射成像网络学院 (ACRIN) Imaging Core 和行业合作伙伴 Sentinelle Medical, Inc. 合作进行。为了最大限度地提高该 QIN 项目产品转化为临床实践的效率,双方ACRIN TRIAD 信息学系统和 Sentinelle Aegis 软件系统将与 ISPY-2 TRANSCEND 信息学系统进行通信,将成像与 caBIG 支持的 ISPY-2 试验数据库连接起来。
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(0)
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 }}
Nola M. Hylton-Watson其他文献
Nola M. Hylton-Watson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('Nola M. Hylton-Watson', 18)}}的其他基金
Dedicated breast PET and MRI for characterization of breast cancer and its response to therapy
专用乳腺 PET 和 MRI,用于表征乳腺癌及其对治疗的反应
- 批准号:
10092115 - 财政年份:2019
- 资助金额:
$ 51.63万 - 项目类别:
Quantitative Imaging for Assessing Breast Cancer Response to Treatment
用于评估乳腺癌治疗反应的定量成像
- 批准号:
10478050 - 财政年份:2018
- 资助金额:
$ 51.63万 - 项目类别:
Quantitative Imaging for Assessing Breast Cancer Response to Treatment
用于评估乳腺癌治疗反应的定量成像
- 批准号:
9769672 - 财政年份:2018
- 资助金额:
$ 51.63万 - 项目类别:
Quantitative Imaging for Assessing Breast Cancer Response to Treatment
用于评估乳腺癌治疗反应的定量成像
- 批准号:
10241938 - 财政年份:2018
- 资助金额:
$ 51.63万 - 项目类别:
Project 2: Non-invasive imaging metrics to optimize early treatment switching decisions and prognostic modeling of long-term outcomes
项目 2:非侵入性成像指标,用于优化早期治疗转换决策和长期结果的预后建模
- 批准号:
10628610 - 财政年份:2017
- 资助金额:
$ 51.63万 - 项目类别:
Project 02 - Non-invasive imaging metrics for determining non-response
项目 02 - 用于确定无反应的非侵入性成像指标
- 批准号:
10013138 - 财政年份:2017
- 资助金额:
$ 51.63万 - 项目类别:
Project 02 - Non-invasive imaging metrics for determining non-response
项目 02 - 用于确定无反应的非侵入性成像指标
- 批准号:
10249155 - 财政年份:2017
- 资助金额:
$ 51.63万 - 项目类别:
Quantitative Imaging for Assessing Breast Cancer Response to Treatment
用于评估乳腺癌治疗反应的定量成像
- 批准号:
8719738 - 财政年份:2011
- 资助金额:
$ 51.63万 - 项目类别:
Quantitative Imaging for Assessing Breast Cancer Response to Treatment
用于评估乳腺癌治疗反应的定量成像
- 批准号:
8108104 - 财政年份:2011
- 资助金额:
$ 51.63万 - 项目类别:
Quantitative Imaging for Assessing Breast Cancer Response to Treatment
用于评估乳腺癌治疗反应的定量成像
- 批准号:
8338834 - 财政年份:2011
- 资助金额:
$ 51.63万 - 项目类别:
相似海外基金
NCI Research Specialist (Clinician Scientist) Award
NCI 研究专家(临床科学家)奖
- 批准号:
10569403 - 财政年份:2023
- 资助金额:
$ 51.63万 - 项目类别:
“NCI National Clinical Trials Network - Network Lead Academic Participating Sites”
–NCI 国家临床试验网络 - 网络主导学术参与站点 –
- 批准号:
10734623 - 财政年份:2022
- 资助金额:
$ 51.63万 - 项目类别:
A framework to quantify and incorporate uncertainty for ethical application of AI-based quantitative imaging in clinical decision making
量化和纳入基于人工智能的定量成像在临床决策中的伦理应用的不确定性的框架
- 批准号:
10599754 - 财政年份:2021
- 资助金额:
$ 51.63万 - 项目类别:
Comparative Modeling of Precision Breast Cancer Control Across the Translational Continuum
跨转化连续体的乳腺癌精准控制的比较模型
- 批准号:
10251326 - 财政年份:2020
- 资助金额:
$ 51.63万 - 项目类别:
Comparative Modeling of Precision Breast Cancer Control Across the Translational Continuum
跨转化连续体的乳腺癌精准控制的比较模型
- 批准号:
10469140 - 财政年份:2020
- 资助金额:
$ 51.63万 - 项目类别: