Improved Breast DCE MRI with SWIFT

使用 SWIFT 改进乳房 DCE MRI

• 批准号: 7672970
• 负责人: Curtis Andrew Corum
• 金额: $ 26.14万
• 依托单位: UNIVERSITY OF MINNESOTA
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2011-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7672970
• 关键词: Acceleration; Acoustics; Address; Area; Benign; Biopsy; Breast; Cancer Patient; Contrast Media; Data; Detection; Development; Diagnosis; Diagnostic; Disease; Evaluation; Failure; Fatty acid glycerol esters; Female; Financial compensation; Fourier Transform; Gadolinium DTPA; Goals; Image; Imaging Techniques; Immune; Immunity; Implant; Kinetics; Lesion; Magnetic Resonance Imaging; Malignant - descriptor; Measurement; Measures; Medical Imaging; Meta-Analysis; Methods; Modeling; Motion; Noise; Pathologic; Patients; Performance; Phase; Physiologic pulse; Population; Predisposition; Process; Property; Protons; Radial; Ramp; Relaxation; Research; Resolution; Sampling; Scanning; Scheme; Series; Specificity; Staging; Testing; Three-Dimensional Image; Time; Tissues; Ursidae Family; Validation; Woman; Work; base; breast cancer diagnosis; breast lesion; digital; experience; imaging modality; improved; magnetic field; malignant breast neoplasm; novel; pharmacokinetic model; prospective; public health relevance; reconstruction; volunteer

DESCRIPTION (provided by applicant): Today's medical imaging methods have insufficient specificity for reliable differentiation between benign and malignant breast lesions in patients. Pathologic evaluation is currently the only way to obtain a definitive diagnosis. This research will use a novel method of magnetic resonance imaging (MRI), Sweep Imaging with Fourier Transform (SWIFT), at very high magnetic field (4 Tesla) to distinguish malignant from benign breast lesions. Specificity will be gained from improved temporal resolution and contrast kinetic parameter extraction measured non-invasively with proton (1H) MRI. In addition to high temporal resolution and immunity to T2* effects at even the highest contrast agent concentrations, SWIFT offers several other improvements. The 3D radial sampling scheme is motion-correctable with simple k-space based processing. Due to the smooth rotating gradient trajectory, SWIFT is immune to gradient group delay, gradient ramp based errors, and produces orders of magnitude fewer eddy currents than other rapid radial sequences. Another extremely desirable effect of the smooth gradient is that SWIFT is extremely quiet, leading to an improved patient experience and fewer failures to scan. Breast lesions will be visualized by dynamic contrast-enhanced three-dimensional MRI and simultaneously processed into high-temporal resolution / low-spatial resolution, high-spatial resolution / low temporal-resolution, or mixed image series. Since data from a single scan can be formatted into variable spatial and temporal resolutions, the total imaging time can be reduced compared with standard MRI scanning methods. SWIFT MRI measurements will be correlated with biopsy results to determine whether this MRI sequence accurately identifies and characterizes malignant lesions in breast patients. This research will reveal whether the SWIFT sequence bears new capabilities in medical imaging for breast cancer diagnosis. PUBLIC HEALTH RELEVANCE: The proposed research is aimed at improving the accuracy of detection and determination of extent of disease in women suspected of having breast cancer. It should also help reduce cases where a woman is told she has breast cancer in error.

描述（由申请人提供）：目前的医学影像学方法在鉴别患者乳腺良恶性病变方面特异性不足。病理评估是目前获得明确诊断的唯一途径。本研究将使用一种新型的磁共振成像（MRI）方法，傅里叶变换扫描成像（SWIFT），在非常高的磁场（4特斯拉）下区分乳腺病变的恶性和良性。特异性将获得改进的时间分辨率和对比动力学参数提取测量无创质子（1H） MRI。除了高时间分辨率和在最高造影剂浓度下对T2*效应的免疫外，SWIFT还提供了其他一些改进。通过简单的基于k空间的处理，三维径向采样方案可以实现运动校正。由于平滑的旋转梯度轨迹，SWIFT不受梯度群延迟和梯度斜坡误差的影响，产生的涡流比其他快速径向序列少几个数量级。平滑梯度的另一个非常理想的效果是SWIFT非常安静，从而改善了患者的体验，减少了扫描失败。乳房病变将通过动态增强三维MRI可视化，并同时处理成高时间分辨率/低空间分辨率、高空间分辨率/低时间分辨率或混合图像序列。由于单次扫描的数据可以格式化为可变的空间和时间分辨率，因此与标准MRI扫描方法相比，总成像时间可以减少。SWIFT MRI测量结果将与活检结果相关联，以确定该MRI序列是否准确识别和表征乳腺患者的恶性病变。这项研究将揭示SWIFT序列是否在乳腺癌诊断的医学成像中具有新的能力。公共卫生相关性：拟议的研究旨在提高检测和确定怀疑患有乳腺癌的妇女疾病程度的准确性。这也有助于减少女性被错误告知患有乳腺癌的情况。