Early Estimation of Breat Tumor Response to Therapy

在当地共同研究者先前发表的研究中， 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） 间隔和各种脑肿瘤的反应最近已被证明。这项工作是 在大鼠和人类的大脑中证明，并基于基于体素的变化分析， 严格配准的治疗前和治疗后ADC MRI检查之间的ADC值散点图。的 本项目的目标是开发和完善注册技术，不仅证明了相同的 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诊断的潜在替代物。 结果，而且还通过纳入灌注相关的计算来提高此类技术的准确性 参数，并实现准确的，自动翘曲配准技术。除了遵循 以前的工作，证明了使用流行病学方法的相关性，例如， 基于ADC变化的Kaplan-Meier图成功分层，其中ADC变化定义为 在动物和人类的肿瘤学家，我们将扩大的方法，以消除需要多个 肿瘤学家对感兴趣的总体积的定义，并在 异质性肿瘤此外，对于一部分数据，我们将组织学结果带回体内 图像与组织学真相的相关性。 相关性（参见说明）： 准确和自动配准间隔MRI扩散乳腺检查的发展将有助于 提高乳腺癌患者新辅助化疗的个体化评估准确性 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.