MAGNETIC RESONANCE IMAGING AND SPECTROSCOPY OF THE OVARIES AT 3 TESLA

该子项目是利用 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得主要资金， 因此可以在其他CRISP条目中表示。列出的机构是 中心，不一定是研究者的机构。 卵巢癌是妇科恶性肿瘤妇女死亡的主要原因。2008年估计有21,600例确诊病例，估计有15,500名妇女死于卵巢癌。随着通过扩散敏感序列确定细胞密度和通过动态对比增强成像确定血管信息的方法的发展，MRI在癌症护理中的临床应用有所增加。结合光谱学，这些MR成像方法提供了丰富的功能和解剖信息，以帮助表征组织。该初始项目是一项探索性研究，旨在开发用于表征卵巢癌的功能性MR方法，并评估其临床实用性。我们提出以下具体目标：从正常卵巢和良性或恶性卵巢肿瘤妇女的3 T MRI扫描中获得解剖、代谢和功能数据。 本研究将涉及正常卵巢、良性和恶性卵巢肿瘤妇女的解剖和功能成像。 将卵巢病理学结果与术前成像结果进行比较，目的是确定成像数据是否显示出区分恶性疾病、良性疾病和正常组织的趋势。 我们提出的新颖和创新的研究将是有史以来第一次结合联合收割机解剖成像，磁共振波谱和动态对比增强成像从高场MRI的卵巢。 这项初步工作的成功完成将使我们能够使用卵巢的高场MRI来解决许多代表卵巢癌诊断和管理挑战的研究问题。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Ovarian cancer is the leading cause of death among women with gynecologic malignancies. An estimated 21,600 cases were diagnosed in 2008 and an estimated 15,500 women died from ovarian cancer that year. Clinical applications of MRI in cancer care have increased with the development of methods to determine cellular density through diffusion-sensitive sequences, and vascular information through dynamic contrast enhanced imaging. Combined with spectroscopy, these MR imaging methods provide a wealth of functional and anatomical information to help characterize tissue. This initial project is an exploratory study across the spectrum of the clinical setting to develop functional MR methods for characterizing ovarian cancer and to evaluate their clinical utility. We propose the following Specific Aim: to acquire anatomic, metabolic and functional data from 3T MRI scans in women with normal ovaries and women with benign or malignant ovarian tumors. This study will involve both anatomic and functional imaging in women with normal ovaries, benign and malignant ovarian tumors. Ovarian pathology results will be compared against pre-surgery imaging results with the purpose of determining if imaging data show tendencies to distinguish between malignant disease, benign disease and normal tissue. The novel and innovative research that we propose will be among the first ever to combine anatomic imaging, MR spectroscopy and dynamic contrast enhanced imaging from high-field MRI of the ovary. Successful completion of this preliminary work will allow us to use high-field MRI of the ovary to address many research questions that represent challenges in ovarian cancer diagnosis and management.