Early Estimation of Breat Tumor Response to Therapy

在当地联合调查人员之前发表的工作中，发现 在开始治疗前至治疗后早期测量的定量 MR 表观扩散系数 (ADC) 最近已经证明了各种脑肿瘤的间隔和反应。这项工作是 在大鼠和人类的大脑中得到证实，并且基于基于体素的变化分析 严格记录的治疗前和治疗后 ADC MRI 检查之间 ADC 值的散点图。的 该项目的目标是开发和完善注册技术，不仅展示相同的 乳腺癌中存在相关性，作为细胞死亡的早期生物标志物和临床的潜在替代物 结果，而且还通过包括灌注相关的计算来提高此类技术的准确性 参数，并实施准确的自动翘曲注册技术。除了以下 先前工作的主导，使用流行病学方法证明了相关性，例如 根据感兴趣体积内的 ADC 变化成功分层 Kaplan-Meier 图，定义为 动物和人类的肿瘤学家，我们将扩展该方法以消除对多种药物的需求 肿瘤学家定义感兴趣的总体积并提高测量的性能 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（参见说明）： . 间隔 MRI 扩散乳腺检查的准确和自动记录的开发将有助于 通过提高估计的准确性对乳腺癌患者进行个体化新辅助化疗 肿瘤对治疗的早期反应（1-3 周）。

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.