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Early Estimation of Breat Tumor Response to Therapy

乳腺肿瘤治疗反应的早期估计

基本信息

批准号：
8376470
负责人：
Charles Raymond Meyer
金额：
$ 21.7万
依托单位：
UNIVERSITY OF MICHIGAN AT ANN ARBOR
依托单位国家：
美国
项目类别：
财政年份：
2002
资助国家：
美国
起止时间：
2002-07-15 至
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/8376470
关键词：
Affect Algorithms Animal Experiments Animals Apoptosis Back Biological Markers Brain Brain Neoplasms Breast Breast Cancer Cell Budgets Caliber Cancer Patient Cell Death Cells Clinical Complex Consent Data Data Set Detection Development Diffusion Diffusion Magnetic Resonance Imaging Doctor of Philosophy Epidemiologic Methods Excision Failure Goals Graph Growth Harvest Head Hematoma Histology Human Image Imagery Implant Instruction Internet Intervention Lead Length Magnetic Resonance Imaging Malignant Neoplasms Mammary Neoplasms Mammography Manuals Maps Measures Methods Metric Minor Modeling Modification Mus Names Necrosis Neoadjuvant Therapy Neoplasm Metastasis Noise Oncologist Operative Surgical Procedures Outcome Pathologist Patients Performance Perfusion Plant Roots Primary Neoplasm Principal Investigator Process Proliferating Publications Published Comment Publishing Rattus Reading Recruitment Activity Relative (related person)Research Personnel Resolution Sampling Scanning Schedule Seeds Services Simulate Slide Solid Neoplasm Solutions Staging Staining method Stains Stratification Structure System Techniques Testing Therapeutic Time Tumor Volume Work base body system cancer imaging chemotherapy density experience improved in vivo inclusion criteria insight interest malignant breast neoplasm multimodality prognostic programs radiologist research study response success tool trend tumor vector

项目摘要

In previously published work by local coinvestigators a fundamental correlation between the increase in the quantitative MR apparent diffusion coefficient (ADC) measured over the pre- to early post-initiation therapy interval and the response of various brain tumors has been recently demonstrated. This work was demonstrated in the brains of both rats and humans and was based on a voxel-based analysis of change in the scatter plots of ADC values between rigidly registered pre- and post-therapeutic ADC MRI exams. The goal of this Project is to develop and refine registration techniques that not only demonstrate the same correlation exists in breast cancer as an early biomarker of cell death and potential surrogate for clinical outcome, but also increase the accuracy of such techniques by including perfusion-related computed parameters, and implementing accurate, automatic warping registration techniques. In addition to following the lead of the previous work which demonstrated the correlation using epidemiological methods, e.g. successful stratification of Kaplan-Meier plots based on ADC changes within volumes of interest defined by oncologists in both animals and humans, we will extend the approach to eliminate the need for multiple definition of gross volumes of interest by oncologists and improve the performance of the measure within heterogeneous tumors. Additionally for a subset of data we will carry histological results back to the in vivo images for correlation with histological truth. RELEVANCE (See instructions): . The development of accurate and automatic registration of interval MRI diffusion breast exams will help individuate neoadjuvant chemotherapy for breast cancer patients by improving the accuracy of estimating tumors' early response (1-3 weeks) to therapy.

在当地合作者先前发表的工作中，研究人员发现