Advancing MRI technology for early diagnosis of liver metastases

推进 MRI 技术用于肝转移的早期诊断

• 批准号: 10063981
• 负责人: Maria I. Altbach
• 金额: $ 53.67万
• 依托单位: UNIVERSITY OF ARIZONA
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-12-01 至 2024-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10063981
• 关键词: 3-Dimensional; Abdomen; Accounting; Adopted; Affect; Algorithms; Arizona; Benign; Breathing; Cessation of life; Chelating Agents; Clinic; Clinical; Clinical Trials; Colorectal; Colorectal Cancer; Country; Data; Detection; Diagnosis; Diagnostic; Discrimination; Disease; Drops; Early Diagnosis; Engineering; Excision; Foundations; Gadolinium; Goals; Image; Image Analysis; Image Enhancement; Imaging Techniques; Imaging technology; Incidence; Industry; Knowledge; Lesion; Life; Liver; Liver neoplasms; Location; Magnetic Resonance Imaging; Malignant - descriptor; Malignant Neoplasms; Medical; Metastatic Neoplasm to the Liver; Methods; Motion; Neoplasm Metastasis; Operative Surgical Procedures; Outcome; Patient Selection; Patients; Phase; Physiological; Population; Precision therapeutics; Radial; Reproducibility; Research; Resectable; Resolution; Scanning; Scheme; Scientist; Sensitivity and Specificity; Techniques; Technology; Test Result; Translations; Treatment outcome; Universities; Unresectable; Variant; Work; accurate diagnosis; alternative treatment; base; cancer imaging; care outcomes; clinical practice; clinical translation; colon cancer patients; contrast enhanced; contrast imaging; cost; data acquisition; deep neural network; design; diagnostic accuracy; efficacy evaluation; flexibility; image processing; image reconstruction; imaging modality; improved; industry partner; liver imaging; new technology; next generation; novel; personalized care; reconstruction; research clinical testing; soft tissue; spatiotemporal; tumor; tumor specificity

Abstract Liver is commonly involved in metastatic disease in colorectal cancer (CRC) and knowledge about the presence and location of these tumors affects treatment decisions. In patients with CRC, surgical or ablative treatment of liver metastases improves overall survival. Early diagnosis of colorectal metastases (i.e. while lesions are small) is expected to improve treatment outcomes by increasing the number of subjects that can undergo surgical resection or by identifying subjects early on, when non-surgical options are an alternative treatment. Magnetic Resonance Imaging (MRI) is regarded as the most effective imaging modality for the detection and characterization of liver neoplasms; T2-weighted (T2w) and T1-weighted (T1w) images - combined with administration of a gadolinium chelate agent and multi-phase dynamic contrast enhancement (DCE) - are the foundational acquisitions used for the detection and characterization of liver tumors. However, challenges remain for the detection and characterization of small lesions due to factors including inadequate spatial resolution, partial volume effects, physiological motion, and variations in timing of contrast arrival in DCE imaging. In this academic-industrial partnership the scientific and engineering teams at the University of Arizona and Siemens Medical Solutions are coming together to develop robust radial MRI techniques for T2w/T2 mapping and DCE imaging of the liver to improve detection and characterization of small tumors with the goal of bringing these techniques to routine clinical practice. The proposed work is based on a radial turbo spin- echo technique pioneered by the team at the University of Arizona for abdominal imaging and a radial stack-of-stars technique with continuous acquisition for DCE imaging. The specific aims of the partnership are: Aim 1: To develop radial T2w acquisition and reconstruction techniques with efficient full coverage of the liver for small tumor detection and accurate T2 quantification for tumor characterization. Aim 2: To implement a self-navigated 3D radial stack-of-stars technique for continuous acquisition of DCE data and retrospective reconstruction of the dynamic phases. Aim 3: To conduct a clinical evaluation of the techniques from Aims 1 and 2 against conventional T2w and DCE techniques. Aim 4: To streamline translation of the new radial methods to the clinic by developing a computationally efficient reconstruction pipeline. The endpoints of our study include technical advances in MRI acquisitions that markedly overcome limitations of current liver MRI for the diagnosis of early metastases. We expect our proposal to yield technology improvements that will increase precision of care and outcomes in patients with metastatic malignancies, in particular those with colorectal cancer.

抽象的 肝脏通常参与结直肠癌（CRC）的转移性疾病，并了解有关 这些肿瘤的存在和位置会影响治疗决策。在CRC患者中 肝转移的手术或消融治疗可改善总体生存率。早期诊断 结直肠转移（即病变较小）有望通过 增加可以接受手术切除或通过识别受试者的受试者的数量 早期，当非手术选择是一种替代方法时。磁共振成像 （MRI）被认为是检测和表征的最有效的成像方式 肝肿瘤； T2加权（T2W）和T1加权（T1W）图像 - 与 给药螯合剂剂和多相动态对比度增强 （DCE） - 是用于检测和表征肝脏的基础采集 肿瘤。但是，对于应得的小病变的检测和表征仍然存在挑战 对于包括空间分辨率不足的因素，部分体积效应，生理运动和 DCE成像中对比度到达的时间的变化。在这个学术工业伙伴关系中 亚利桑那大学和西门子医疗解决方案的科学和工程团队是 共同开发用于T2W/T2映射和DCE成像的强大径向MRI技术 肝脏以改善小肿瘤的检测和表征 这些技术用于常规临床实践。拟议的工作是基于径向涡轮自旋的 亚利桑那大学腹部成像和A radial堆栈明星技术具有连续的DCE成像获取。具体目的 合作伙伴关系是：目标1：与 有效地覆盖肝脏，以进行小肿瘤检测和准确的T2定量肿瘤 表征。目标2：实施一种自我选择的3D径向堆栈明星技术 连续获取DCE数据和动态阶段的回顾性重建。目的 3：针对常规T2W对目标1和2的技术进行临床评估 和DCE技术。目标4：通过将新的径向方法的翻译简化为诊所 开发一个有效的重建管道。我们研究的终点包括 MRI获取的技术进步明显克服了当前肝脏MRI的局限 早期转移的诊断。我们希望我们的建议能够产生技术的改进 这将增加转移性恶性肿瘤患者的护理和结果的精度 特别是患有结直肠癌的人。