Early Estimation of Breat Tumor Response to Therapy

乳腺肿瘤治疗反应的早期估计

• 批准号: 8445392
• 负责人: Charles Raymond Meyer
• 金额: $ 19.64万
• 依托单位: UNIVERSITY OF MICHIGAN AT ANN ARBOR
• 依托单位国家: 美国
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-07-15 至 2015-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8445392
• 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

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.

在当地合作调查员之前发表的工作中， 定量磁共振表观扩散系数(ADC)在开始治疗前到治疗后早期的测量 时间间隔和对各种脑肿瘤的反应最近已经被证明。这项工作是 在大鼠和人类的大脑中都有展示，并基于基于体素的分析 治疗前和治疗后严格登记的ADC MRI检查之间的ADC值散点图。这个 该项目的目标是开发和改进注册技术，不仅展示相同的 乳腺癌作为细胞死亡的早期生物标记物和临床的潜在替代物存在相关性 结果，但也提高了这种技术的准确性，通过包括与血流灌注相关的计算机 参数，并实施准确的自动翘曲配准技术。除了以下内容 以前的工作使用流行病学方法证明了这种相关性，例如 基于以下定义的感兴趣体积内ADC变化的Kaplan-Meier图的成功分层 肿瘤学家在动物和人类中，我们都将推广这种方法，以消除多个 肿瘤学家对感兴趣的总体积的定义，并在以下方面改进测量业绩 异质性肿瘤。此外，对于数据的子集，我们将把组织学结果带回体内 与组织学真相相关的图像。 相关性(请参阅说明)：。 发展准确和自动配准的间隔MRI扩散乳房检查将有所帮助 提高乳腺癌患者新辅助化疗估计的准确性实现个体化 肿瘤治疗的早期反应(1-3周)。