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Quantitative Methods for Supplementing Contrast-Enhanced Magnetic Resonance Imaging of Breast Cancer

2019年9月24日 更新者:University of Minnesota
Contrast-enhanced magnetic resonance imaging (CE-MRI) is now established as the most accurate non-invasive imaging modality for characterizing breast cancer. CE-MRI has a very high sensitivity because the intravenous MR contrast agent highlights regions with increased vascularization and vascular permeability compared to normal breast tissues and benign lesions.

研究概览

地位

完全的

条件

详细说明

Contrast-enhanced magnetic resonance imaging (CE-MRI) is now established as the most accurate non-invasive imaging modality for characterizing breast cancer. CE-MRI has a very high sensitivity because the intravenous MR contrast agent highlights regions with increased vascularization and vascular permeability compared to normal breast tissues and benign lesions. While research continues on improving the specificity of CE-MRI, several other MR techniques that do not require an exogenous contrast agent have been shown to provide valuable information that can improve the characterization of breast cancers. These techniques include magnetic resonance spectroscopy (MRS), diffusion-weighted imaging, and water T2 relaxometry. The long-term goal of this study is to develop these techniques to produce quantitative MR-based biomarkers that can be used to supplement or possibly supplant the information provided by CE-MRI. This project seeks to facilitate the advancement of these advanced, non-contrast techniques. This study uses a piggyback design, in which subjects who are already scheduled to receive a CE-MRI study are invited to receive an additional 10-20 minutes of scanning to help develop these novel methods. This efficient design allows for the refinement and assessment of these new techniques with a minimum of risk and inconvenience to the patient. With these proposed improvements, these techniques may lead to quantitative biomarkers that can guide critical clinical questions in treatment response, diagnosis, staging, and high-risk screening of breast cancer.

研究类型

观察性的

注册 (实际的)

80

联系人和位置

本节提供了进行研究的人员的详细联系信息,以及有关进行该研究的地点的信息。

学习地点

    • Minnesota
      • Minneapolis、Minnesota、美国、55455
        • University of Minnesota Center for Clinical Imaging Reserach

参与标准

研究人员寻找符合特定描述的人,称为资格标准。这些标准的一些例子是一个人的一般健康状况或先前的治疗。

资格标准

适合学习的年龄

18年 及以上 (成人、年长者)

接受健康志愿者

是的

有资格学习的性别

女性

取样方法

非概率样本

研究人群

Breast cancer patients: recruited from the group of patients that have a known cancer and are scheduled to receive a breast MRI at the UMN Center for Clinical Imaging Research (CCIR)

描述

Inclusion Criteria:

  • Women scheduled and eligible to receive a contrast-enhanced breast MRI at the UMN Center for Clinical Imaging Research for either standard clinical care, or participation in the ISPY2/ACRIN6698 clinical research study
  • Age 18 years or older
  • Ability to read and understand English
  • Ability to provide written informed consent

Exclusion Criteria:

  • Subjects who are unlikely to tolerate the longer MRI scanning duration. This may include, history of discomfort during MRI scanning, anxiety, or claustrophobia

学习计划

本节提供研究计划的详细信息,包括研究的设计方式和研究的衡量标准。

研究是如何设计的?

设计细节

队列和干预

团体/队列
干预/治疗
Healthy Volunteers
Device: Magnetic Resonance Imaging
MRI scanning with novel acquisition, reconstruction, and/or analysis methods.
Breast Cancer Patients
Device: Magnetic Resonance Imaging
MRI scanning with novel acquisition, reconstruction, and/or analysis methods.

研究衡量的是什么?

主要结果指标

结果测量
措施说明
大体时间
Concentration of choline-containing metabolites
大体时间:Baseline
Demonstration of the feasibility of using SLIM-based techniques for acquiring spectoscopic data for quantifying choline and other metabolites in breast cancer.
Baseline

次要结果测量

结果测量
措施说明
大体时间
The apparent diffusion coefficient and T2 relaxation rate of water in the tumor
大体时间:Baseline and 6 months following treatment
Develop and optimize methods for performing diffusion weighted imaging and T2 relaxometry in breast cancer.
Baseline and 6 months following treatment

合作者和调查者

在这里您可以找到参与这项研究的人员和组织。

调查人员

  • 首席研究员:Patrick Bolan, PhD、University of Minnesota

研究记录日期

这些日期跟踪向 ClinicalTrials.gov 提交研究记录和摘要结果的进度。研究记录和报告的结果由国家医学图书馆 (NLM) 审查,以确保它们在发布到公共网站之前符合特定的质量控制标准。

研究主要日期

学习开始 (实际的)

2014年3月1日

初级完成 (实际的)

2019年7月1日

研究完成 (实际的)

2019年9月1日

研究注册日期

首次提交

2014年1月31日

首先提交符合 QC 标准的

2014年2月6日

首次发布 (估计)

2014年2月10日

研究记录更新

最后更新发布 (实际的)

2019年9月25日

上次提交的符合 QC 标准的更新

2019年9月24日

最后验证

2019年9月1日

更多信息

与本研究相关的术语

其他研究编号

  • 1312M4621
  • R21CA179070 (美国 NIH 拨款/合同)

计划个人参与者数据 (IPD)

计划共享个人参与者数据 (IPD)?

未定

此信息直接从 clinicaltrials.gov 网站检索,没有任何更改。如果您有任何更改、删除或更新研究详细信息的请求,请联系 register@clinicaltrials.gov. clinicaltrials.gov 上实施更改,我们的网站上也会自动更新.

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