Breast Cancer Intravoxel-incoherent-motion MRI Multisite (BRIMM) Study - Resubmission - 1

乳腺癌体素内不相干运动 MRI 多部位 (BRIMM) 研究 - 重新提交 - 1

• 批准号: 10927483
• 负责人: Eric Edward Sigmund
• 金额: $ 53.6万
• 依托单位: NEW YORK UNIVERSITY SCHOOL OF MEDICINE
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-04-01 至 2026-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10927483
• 关键词: 3-Dimensional; Address; Adjuvant Chemotherapy; Adopted; Adoption; Affect; Algorithms; Apoptosis; Binding Sites; Biological Markers; Blood; Blood Vessels; Breast Cancer Patient; Cellularity; Clinical; Clinical Data; Collaborations; Communities; Complex; Computer software; Data; Diagnostic; Diffusion; Diffusion Magnetic Resonance Imaging; Early treatment; Environment; Equilibrium; Explosion; Future; Generations; Goals; Health; Heterogeneity; Image; Institution; International; Literature; Longitudinal Studies; Magnetic Resonance Imaging; Malignant Neoplasms; Measurement; Methods; Modeling; Motion; Necrosis; Neoadjuvant Therapy; Olea; Outcome Study; Pathologic; Patients; Performance; Phase; Prediction of Response to Therapy; Protocols documentation; Reproducibility; Research; Site; Statistical Data Interpretation; System; Techniques; Technology; Testing; Therapy trial; Time; Tissues; Toxic effect; Translating; Translations; Tumor Biology; Tumor Markers; Tumor Volume; Validation; Variant; Vascular Permeabilities; Vendor; aggressive breast cancer; angiogenesis; biomarker identification; biophysical model; breast cancer survival; cancer care; cancer imaging; clinical implementation; clinically relevant; cohort; design; diagnostic value; digital; digital repositories; imaging biomarker; imaging modality; improved; individual patient; innovation; insight; malignant breast neoplasm; molecular subtypes; non-invasive imaging; open source; potential biomarker; predicting response; predictive marker; prognostic; prognostic value; prospective; prototype; quantitative imaging; recruit; response; success; synergism; targeted treatment; tool; translational potential; treatment and outcome; treatment response; tumor; tumor heterogeneity; tumor microenvironment

PROJECT SUMMARY While the technological enterprise of magnetic resonance imaging (MRI) generates a host of biomarkers of the tumor environment, in particular for breast cancer, precious few (and typically only first-order markers) have been tested beyond single site studies with single workflow processing. To address both the need for advanced tissue characterization and multi-site translation, we propose a multi-site study of intravoxel incoherent motion (IVIM) MRI in breast cancer to determine its maximum translational prognostic benefit. The IVIM model, which includes separate markers of tissue cellularity, vascular volume, and micro-vascular flow, has been successfully applied in a range of cancers, including breast cancer by the project teams of this proposal. This project will determine inherent variability of the technique with hardware variation (3 vendors) and software platforms (6 packages), in a 5 site retrospective analysis of clinical breast cancer IVIM data. We will then conduct a prospective two-site IVIM longitudinal study of patients undergoing neoadjuvant chemotherapy to determine the best pre- or mid-treatment biomarkers to predict therapeutic response. At each stage, performance will be evaluated both within each site and in the combined cohort, with the goal of identifying biomarkers that are both useful and broadly translatable.

项目概要 虽然磁共振成像（MRI）技术企业产生了大量的生物标志物 肿瘤环境，特别是乳腺癌，很少有（通常只有一级标记物）具有 通过单一工作流程处理进行了单站点研究之外的测试。为了满足先进的需求 组织表征和多位点翻译，我们提出了体素内不相干运动的多位点研究 (IVIM) 乳腺癌 MRI 以确定其最大转化预后益处。 IVIM 模型， 包括组织细胞结构、血管体积和微血管流量的单独标记，已成功 该提案的项目团队已将其应用于多种癌症，包括乳腺癌。该项目将 通过硬件变化（3 个供应商）和软件平台（6 个供应商）确定技术的固有变化 包），对临床乳腺癌 IVIM 数据进行了 5 个地点的回顾性分析。然后我们将进行一次 对接受新辅助化疗的患者进行前瞻性两中心 IVIM 纵向研究，以确定 预测治疗反应的最佳治疗前或治疗中期生物标志物。每个阶段的表现都会 在每个站点和组合队列中进行评估，目的是识别同时具有以下特征的生物标志物： 有用且可广泛翻译。