MULTI-PARAMETRIC MRI DETERMINATION OF PROSTATE CANCER AGGRESSIVENESS AND EXTENT

这个子项目是许多利用资源的研究子项目之一 由NIH/NCRR资助的中心拨款提供。子项目的主要支持 而子项目的主要调查员可能是由其他来源提供的， 包括其它NIH来源。 列出的子项目总成本可能 代表子项目使用的中心基础设施的估计数量， 而不是由NCRR赠款提供给子项目或子项目工作人员的直接资金。 目前的诊断测试不能可靠地确定前列腺癌的程度（体积和位置）或生物侵略性。本研究的主要目标是通过将解剖学和功能研究生成的多参数数据结合到新的统计模型中，实现3特斯拉MRI生成癌症概率图的全部潜力。 这一目标将通过实现以下四个具体目标来实现：1）从用新技术采集和处理的MRI数据生成参数图; 2）开发并验证三维（3D）策略，以将MRI图像空间共配准到来自椎间盘切除术的组织病理学切片; 3）开发基于3 T MRI数据的分类器，以生成癌症的3D概率图;和4）识别预测攻击性的组织学和分子标记的MRI特征。我们的预期成果是开发一种新的基于MRI的成像方法，以非侵入性和可靠地确定前列腺癌的程度和侵袭性。 我们希望本研究开发的方法可以使医生和患者做出更好的治疗决策，降低前列腺癌的发病率和死亡率。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. Current diagnostic tests cannot reliably determine prostate cancer extent (volume and location) or biological aggressiveness. The main goal of this research is to realize the full potential of 3 Tesla MRI to generate cancer probability maps by combining the multi-parametric data generated from anatomic and functional studies within a new statistical model. This goal will be accomplished by realizing the following four specific aims: 1) generate parametric maps from MRI data acquired and processed with novel techniques; 2) develop and validate a 3-dimensional (3D) strategy to spatially co-register MRI images to histopathology sections from prostatectomy; 3) develop a classifier based on 3T MRI data to produce a 3D probability map of cancer; and 4) identify MRI features that predict histological and molecular markers of aggressiveness. Our expected outcome is the development of a novel MRI-based imaging method to non-invasively and reliably determine both the extent and aggressiveness of prostate cancer. It is our hope that the methods developed in this study may permit doctors and their patients to make better treatment decisions and reduce morbidity and mortality due to prostate cancer.