Comprehensive Characterization of Breast Tissue Using Multi-modal MRI

使用多模态 MRI 全面表征乳腺组织

• 批准号: 10617363
• 负责人: Muge M Karaman
• 金额: $ 23.99万
• 依托单位: UNIVERSITY OF ILLINOIS AT CHICAGO
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-05-03 至 2025-01-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10617363
• 关键词: Adjuvant Chemotherapy; Base Sequence; Benign; Biological; Biopsy; Blood Vessels; Breast; Breast Cancer Patient; Breast Magnetic Resonance Imaging; Cell Density; Cells; Cellularity; Classification; Clinical; Communities; Complement; Contrast Media; Diffusion; Diffusion Magnetic Resonance Imaging; Disease; Echo-Planar Imaging; Goals; Heterogeneity; Histopathology; Image; Imaging Device; International; Lesion; Link; Magnetic Resonance Imaging; Malignant - descriptor; Malignant Neoplasms; Mammary Gland Parenchyma; Mammary Neoplasms; Measurement; Measures; Modeling; Morphologic artifacts; Motion; Motivation; Neoadjuvant Therapy; Pathologic; Phase; Physiologic pulse; Physiological; Prediction of Response to Therapy; Property; Protocols documentation; Publications; Research; Resolution; Scanning; Structure; Techniques; Texture; Time; Tissues; Walking; breast imaging; breast lesion; contrast enhanced; density; design; interest; malignant breast neoplasm; multimodality; non-Gaussian model; novel; predict responsiveness; predicting response; prototype; resilience; tool; treatment response; working group

ABSTRACT Diffusion-weighted MRI (DWI) has become a pillar of clinical MRI with its uniqueness to probe tissue properties well beyond the conventional MRI can achieve with its millimetric resolution. Most DWI applications rely on apparent diffusion coefficient (ADC) which has been associated with tissue cellularity1,2. However, the comprehensive properties of tissue cannot be adequately revealed by a single measurement3. Recent publications indicated these hidden properties can be probed using specific portions of the b-value “spectrum” in DWI4. For example, intravoxel incoherent motion model5–7 with low-b-values can characterize micro- vascularity without contrast agent, presenting a potential for complementing dynamic contrast-enhanced MRI (DCE-MRI)8. High-b-value non-Gaussian models9–24 can probe microstructures as in the case with continuous- time random walk model17,19,21,25,26 which can reflect tissue micro-structural heterogeneity, thus enable studying microstructures beyond cellularity and vascularity. Recognizing the complexity of the breast tissue, the breast imaging community has shown an increasing interest in incorporating advanced DWI into their breast MRI protocols27. However, expansion of advanced DWI to the breast has not been fully achieved28,29 due to two major challenges. Firstly, commercial single-shot echo-planar imaging (ss-EPI) is prone to image distortion, which is exacerbated in the breast due to off-center setting30–37. Secondly, an integrated approach with multiple MRI- based metrics has not been established for breast tissue characterization38,39. The main goal of this project is to develop two imaging tools to enable a comprehensive characterization of breast tissue: (1) a novel, distortion- resilient, and time-efficient DWI acquisition technique, and (2) an integrated multi-modal MRI analysis framework. Our overarching motivation is to bring the advancements in multi-high-b-value DWI to the breast. The hypothesis is that breast neoplasm can be evaluated by characterizing tissue cellularity, vascularity, and heterogeneity collectively; and these properties can be comprehensively probed by utilizing a set of DWI parameters from the entire spectrum of b-values together with DCE-MRI metrics. The specific aims are: 1. To develop a novel, distortion-resilient, and time-efficient pulse sequence, Steer-PROP for breast DWI – SPREAD – that will enable DWI with a full spectrum of b-values from 0 to 3000 s/mm2. 2. To establish MRI-based metrics for characterizing tissue cellularity, vascularity, and heterogeneity; and to develop an integrated multi-modal MRI analysis framework – TERMINAL – for the breast. 3. To demonstrate a potential application of SPREAD and TERMINAL in the context of predicting response to neoadjuvant chemotherapy (NAC) in breast cancer. This project will provide novel tools to enable DWI acquisition with a full b-value spectrum and DWI analysis for assessing malignancy and evaluating treatment response in breast cancer. Successful completion of the project will serve as a prototype for the expansion of advanced DWI into breast imaging.

摘要 磁共振弥散加权成像(DWI)以其独特的组织探测能力成为临床MRI的支柱 这些特性远远超出了传统核磁共振成像的毫米分辨率。大多数DWI应用程序 依赖于表观扩散系数(ADC)，这与组织细胞密度1，2有关。然而， 组织的综合特性不能通过单一的测量来充分揭示。近期 出版物指出，这些隐藏的属性可以用b值“谱”的特定部分来探测。 在DWI4中。例如，具有低b值的体素内非相干运动模型5-7可以表征微 不含造影剂的血管显示可作为动态增强MRI的补充 (DCE-MRI)8.高b值非高斯模型9-24可以探测微结构，就像在连续- 时间随机游走模型17、19、21、25、26能够反映组织微观结构的异质性，从而使研究成为可能 细胞和血管外的微结构。认识到乳腺组织的复杂性，乳房 成像界对将先进的DWI应用于乳腺MRI表现出了越来越大的兴趣 议定书27。然而，由于两个主要原因，晚期弥散加权成像尚未完全扩展到乳房28，29 挑战。首先，商用单次激发回波平面成像(ss-EPI)容易产生图像失真，即 由于偏离中心位置30-37，导致乳房恶化。第二，多核磁共振的综合方法-- 基于乳房组织特征的指标尚未建立38，39。这个项目的主要目标是 为了开发两种成像工具来实现对乳房组织的全面表征：(1)一种新的、扭曲的- 坚韧、省时的DWI采集技术，以及(2)集成的多模式MRI分析框架。 我们的主要动机是将多个高b值DWI的进步带到胸前。 假设乳腺肿瘤可以通过表征组织细胞密度、血管密度、 和异质性，这些属性可以通过利用一组DWI来综合探测 来自整个b值频谱的参数以及DCE-MRI指标。具体目标是： 1.开发一种新颖的、抗失真的、省时的乳房DWI脉冲序列-Steer-Prop 扩展-这将使DWI具有从0到3000 S/mm2的全频谱b值。 2.建立基于MRI的测量方法，用于表征组织细胞密度、血管密度和异质性； 为乳房开发一个集成的多模式MRI分析框架-终端。 3.在预测对……的反应的背景下，展示扩散和终端的潜在应用 乳腺癌的新辅助化疗(NAC) 该项目将提供新的工具，以实现全b值谱和DWI的DWI采集 评价乳腺癌恶性程度和疗效的分析。成功完成 该项目的实施将作为将先进的弥散加权成像扩展到乳房成像的原型。