Combined MRI and Optical Imaging to Improved Breast Cancer Diagnosis

结合 MRI 和光学成像改善乳腺癌诊断

• 批准号: 7276161
• 负责人: Min-Ying L. Su
• 金额: $ 28.98万
• 依托单位: UNIVERSITY OF CALIFORNIA-IRVINE
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-08-01 至 2009-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7276161
• 关键词: 3-Dimensional; Age; Algorithms; Anatomy; Anxiety; Appearance; Area; BRCA1 gene; BRCA2 gene; Benign; Biological Neural Networks; Biopsy; Blood; Blood Vessels; Breast; Categories; Choline; Cicatrix; Clinical; Clinical Trials; Contrast Media; Data; Detection; Development; Devices; Diagnosis; Diagnostic Specificity; Differential Diagnosis; Disease; Drug Kinetics; Elements; Enrollment; Ensure; Family history of; Feasibility Studies; Frequencies; Funding; Funding Opportunities; Goals; Grant; Hemoglobin; High Risk Woman; Image; Image Analysis; Imaging technology; Indocyanine Green; Internal Breast Prosthesis; Kinetics; Lead; Lesion; Lesion by Morphology; Lobular; Magnetic Resonance Imaging; Magnetic Resonance Spectroscopy; Malignant - descriptor; Malignant Neoplasms; Mammary Gland Parenchyma; Mammary Ultrasonography; Mammography; Measures; Metabolism; Methodology; Methods; Modality; Modeling; NIH Program Announcements; Operative Surgical Procedures; Optical Tomography; Optics; Oxygen; Pathway Analysis; Patients; Performance; Personal Satisfaction; Phase; Plasma Proteins; Procedures; Protein Binding; Protocols documentation; Purpose; ROC Curve; Rate; Regression Analysis; Research; Resolution; Risk; Safety; Screening procedure; Sensitivity and Specificity; Specificity; Spectrum Analysis; Staging; Standards of Weights and Measures; System; Techniques; Technology; Testing; Texture; Time; Tissues; Title; Treatment Efficacy; Ultrasonography; Vascular Permeabilities; Woman; Work; base; breast cancer diagnosis; breast lesion; design; diffuse optical tomography; image guided intervention; image guided therapy; image processing; improved; interest; malignant breast neoplasm; novel; optical imaging; reconstruction; research clinical testing; software systems; success; tool; trend; tumor

DESCRIPTION (provided by applicant): This proposal will investigate the performance of a combined MRI-optical imaging system in diagnosis of breast cancer. A diffuse optical tomography (DOT) imaging system integrated with a 4.0 T MRI scanner will be used. It is hypothesized that the additional information measured by MR spectroscopy (Choline) and optical imaging (oxygen saturation and kinetics of indocyanine green ICG) will improve the specificity of DCE-MRI (dynamic contrast enhanced MRI) in diagnosis of breast cancer. The study is submitted responding to program announcement PAR-06-293, focusing on area-3 of research "clinical feasibility studies to demonstrate potential efficacy of promising discoveries in imaging technology", the technology in this proposal being the combined MRI-DOT system. High resolution anatomic MRI and DCE-MRI has evolved into an established clinical tool for detection and diagnosis of breast lesions in patients with dense breasts. The morphological appearance and enhancement kinetics are two essential elements. Due to its high sensitivity MRI is fast becoming the most popular imaging modality for screening young women who are susceptible to early development of breast cancer. Pre-operative MRI has also become a common procedure for detecting multifocal or multicentric diseases to facilitate surgical planning. However, despite its high sensitivity, MRI also detects many benign lesions. The low specificity may lead to great anxiety to patients, and many unnecessary biopsies or over-treatment. Other adjunct imaging modality to improve specificity is greatly needed. MR spectroscopy (MRS) and DOT are two techniques that have great potential to provide complementary information. In this study we will evaluate how these two modalities can enhance the performance of DCE-MRI in diagnosis of breast cancer. Subjects with suspicious breast lesions will be studied using the combined MRI-DOT system. Then ROC analysis using artificial neural network and conventional regression analyses will be used to assess sensitivity/specificity of the optimized morphological and kinetic parameters measured by DCE-MRI. Then the ROC curves using the optimized DCE-MRI parameters with addition of (1) Choline measured by MRS, (2) oxygen saturation, and (3) transport rates in ICG kinetics will be obtained to evaluate whether these additional information may be used to improve the diagnostic specificity. After the study is completed, we will be able to test the hypothesis that "additional information provided by MR Spectroscopy and optical imaging can be used in conjunction with morphological and kinetics parameters measured by DCE-MRI to improve diagnosis of breast cancer". Furthermore, we will be able to determine among the additional information measured by MRS and DOT, which parameter(s) are the most essential to design an optimized protocol. Although the current breast imaging modalities have achieved a high success, further improvements for a subpopulation of women in whom conventional imaging do not work well are in great need. Our goal is to develop an imaging technology with optimized acquisition protocol to improve diagnostic specificity of breast cancer, particularly for young women, so that they would not be subjected to false positive findings.

描述（由申请人提供）：该提案将调查乳腺癌诊断中MRI光学成像系统组合的性能。将使用与4.0 T MRI扫描仪集成的漫射光学断层扫描（DOT）成像系统。假设通过MR光谱法（胆碱）和光学成像（氨基氨基氨基绿色ICG的氧饱和度和动力学）测量的其他信息将改善DCE-MRI（动态对比度增强MRI）在乳腺癌诊断中的特异性。该研究提交了对计划公告的响应PAR-06-293，重点介绍了研究“临床可行性研究，以证明有前途的发现在成像技术中的潜在疗效”的3区，该提案中的技术是合并的MRI点系统。高分辨率的解剖学MRI和DCE-MRI已演变为已建立的临床工具，用于检测和诊断乳房密集的患者的乳房病变。形态学外观和增强动力学是两个基本要素。由于其高灵敏度，MRI迅速成为最受欢迎的成像方式，用于筛查容易受到早期乳腺癌发展的年轻女性。术前MRI也已成为检测多焦点或多中心疾病以促进手术计划的常见程序。然而，尽管具有较高的灵敏度，但MRI也检测到许多良性病变。低特异性可能会引起患者的焦虑，许多不必要的活检或过度治疗。非常需要其他辅助成像方式来提高特异性。 MR光谱法（MRS）和DOT是两种提供补充信息的潜力。在这项研究中，我们将评估这两种方式如何增强DCE-MRI在乳腺癌诊断中的性能。将使用合并的MRI点系统研究患有可疑乳房病变的受试者。然后，使用人工神经网络和常规回归分析的ROC分析将用于评估DCE-MRI测量的优化形态和动力学参数的敏感性/特异性。然后，使用优化的DCE-MRI参数以及通过MRS测量的（2）氧饱和度测得的（1）胆碱的ROC曲线以及（3）将获得ICG动力学中的传输速率，以评估是否可以使用这些附加信息来提高诊断特异性。研究完成后，我们将能够检验以下假设：“ MR光谱法提供的其他信息和光学成像可以与DCE-MRI测量的形态和动力学参数一起使用，以改善乳腺癌的诊断”。此外，我们将能够在MRS和DOT测量的其他信息中确定该参数对于设计优化协议最重要。尽管当前的乳房成像方式取得了很大的成功，但对于传统成像不良好工作的女性亚群的进一步改善。我们的目标是开发具有优化获取方案的成像技术，以提高乳腺癌的诊断特异性，尤其是对于年轻女性，以免她们受到虚假的阳性发现。