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DIFFUSION MRI AS BIOMARKER FOR THERAPY RESPONSE IN BREAST CANCER METASTASES

DIFFUSION MRI AS BIOMARKER FOR THERAPY RESPONSE IN BREAST CANCER METASTASES
扩散 MRI 作为乳腺癌转移治疗反应的生物标志物
批准号:
7808843
负责人:
Alison T. STOPECK
金额:
$35.3万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2006
资助国家:
美国
项目状态:
已结题
起止时间:
2006-07-14 至 2013-05-30

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DESCRIPTION (provided by applicant): A challenge to oncologists in the 21st century will be the individualization of patient care. Already in some cancers, treatment decisions are based on patients' biochemical indicators at presentation and the response of these indicators to therapy. Clearly, the development of non-invasive and robust methods to monitor therapeutic response would be helpful to the overall care of individualizing cancer treatment. If such methods were developed, patients could be continued on successful therapies and changed from therapies that are proving ineffective. We hypothesize that diffusion MRI, which measures the apparent diffusion coefficient (ADC) of tissue water, has great potential to be a non-invasive marker for effective cancer chemotherapy. A significant amount of pre-clinical data indicates that the ADC of tumor water becomes elevated after successful anti-cancer chemotherapy. Based on the strength of these data, changes in ADC have been proposed as a quantitative biomarker for response in a clinical setting. Preliminary human data from a few research groups supports the hypothesis that early increases in ADC can predict ultimate clinical benefit. Our group has contributed to this endeavor by focusing on metastatic breast cancer. We have focused on this disease setting primarily because there are therapeutic choices, and hence, patients could benefit from knowledge of response (or non response). In preliminary data, we have observed therapy related changes in ADC in diffusion MR images from the common metastatic sites of liver and bone from breast cancer patients. The purpose of this proposal is to expand on this work to determine if early changes in the ADC can quantitatively presage clinical response in liver (Aim 1), bone (Aim 2) and brain (Aim 3) metastases of breast cancer. A fourth aim is focused on developing more sophisticated image analysis tools with the goal of extracting the most information from DWMRI datasets. The current protocol will use approved therapies with known response rates in order to validate diffusion MRI as a response biomarker. If justified from this study, further validation will be pursued in a multicenter trial designed to test if diffusion MRI will be useful to monitor therapeutic responses in routine clinical practice as well as in trials of experimental therapies.
期刊论文(4)
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会议论文
DOI: 10.1002/mrm.26072
发表时间: 2016-12
期刊: Magnetic resonance in medicine
影响因子: 3.3
作者: [Jha AK, Rodríguez JJ, Stopeck AT]
通讯作者: Stopeck AT
Diffusion MRI with Semi-Automated Segmentation Can Serve as a Restricted Predictive Biomarker of the Therapeutic Response of Liver Metastasis.
具有半自动分割功能的扩散 MRI 可以作为肝转移治疗反应的限制性预测生物标志物。
DOI: 10.1016/j.mri.2015.08.006
发表时间: 2015
期刊: Magnetic resonance imaging
影响因子: 2.5
作者: [Stephen,RenuM, Jha,AbhinavK, Roe,DeniseJ, Trouard,TheodoreP, Galons,Jean-Philippe, Kupinski,MatthewA, Frey,Georgette, Cui,Haiyan, Squire,Scott, Pagel,MarkD, Rodriguez,JeffreyJ, Gillies,RobertJ, Stopeck,AlisonT]
通讯作者: Stopeck,AlisonT
DOI: 10.1109/ssiai.2010.5483911
发表时间: 2010-05-23
期刊: Proceedings. IEEE Southwest Symposium on Image Analysis and Interpretation
影响因子: --
作者: [Jha AK, Rodríguez JJ, Stephen RM, Stopeck AT]
通讯作者: Stopeck AT
Evaluating segmentation algorithms for diffusion-weighted MR images: a task-based approach.
评估扩散加权 MR 图像的分割算法:基于任务的方法。
DOI: 10.1117/12.845515
发表时间: 2010
期刊: Proceedings of SPIE--the International Society for Optical Engineering
影响因子: --
作者: [Jha,AbhinavK, Kupinski,MatthewA, Rodríguez,JeffreyJ, Stephen,RenuM, Stopeck,AlisonT]
通讯作者: Stopeck,AlisonT
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Three-Arm randomized trial comparing the effect of aspirin, sulindac or no treatment control on breast density in patients with elevated breast cancer risk
Three-Arm randomized trial comparing the effect of aspirin, sulindac or no treatment control on breast density in patients with elevated breast cancer risk
Three-Arm randomized trial comparing the effect of aspirin, sulindac or no treatment control on breast density in patients with elevated breast cancer risk
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