MR Fingerprinting for Epilepsy

磁共振指纹图谱治疗癫痫

• 批准号: 10538568
• 负责人: Dan Ma
• 金额: $ 55.7万
• 依托单位: CASE WESTERN RESERVE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-01-15 至 2024-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10538568
• 关键词: 3-Dimensional; Adopted; Affect; Brain; Categories; Cellular Structures; Characteristics; Classification; Clinical; Complement; Cortical Dysplasia; Counseling; Data; Detection; Development; Diagnosis; Electroencephalography; Epilepsy; Evaluation; Fingerprint; Histologic; Histology; Image; Image Analysis; Individual; Intractable Epilepsy; Lesion; Location; MRI Scans; Machine Learning; Magnetic Resonance; Magnetic Resonance Imaging; Manuals; Maps; Masks; Measurement; Measures; Medical; Methods; Modeling; Morphology; Nature; Operative Surgical Procedures; Outcome; Pathology; Patient-Focused Outcomes; Patients; Performance; Persons; Pharmaceutical Preparations; Population; Postoperative Period; Property; Protocols documentation; Protons; Publishing; Reporting; Resolution; Scanning; Screening procedure; Seizures; Sensitivity and Specificity; Signal Transduction; Specificity; Structure; Surface; T2 weighted imaging; Techniques; Technology; Testing; Thick; Time; Tissues; Training; Validation; Visual; Work; brain malformation; cohort; data acquisition; density; design; evaluation/testing; imaging modality; improved; machine learning model; millimeter; nervous system disorder; non-invasive imaging; novel; predictive modeling; predictive tools; standard care; support tools; tool; treatment planning

Abstract Epilepsy affects 65 million people worldwide; approximately 30% of them do not respond to medications but can be cured by surgery. Focal cortical dysplasia (FCD), a major pathology for medically intractable epilepsies, is frequently missed by visual analysis of the conventional MRI, making surgical treatment very difficult. We propose to develop a novel quantitative MRI acquisition and analysis framework specific for epilepsy patients, which could provide more sensitive and specific measures of brain structure, thereby improving FCD detection and subtype prediction. To this end, the quantitative framework will be developed and validated in three steps: (1) Develop high-resolution Magnetic Resonance Fingerprinting (MRF) scan that allows simultaneous quantification of multiple tissue property maps efficiently, accurately and precisely. These quantitative maps have shown to be more sensitive and specific on detecting and characterizing subtle signal abnormalities. (2) Develop image post-processing methods to analyze quantitative maps, which will provide quantitative measurements that highlight additional morphological features, such as gray-white boundary blurring, abnormal cortical thickness and folding. (3) Develop machine-learning-based feature screening and prediction tools to characterize group-level features differentiating FCD subtypes, and predict individual-level FCD location and subtyping. Because detection and subtype prediction of FCD are both associated with seizure outcomes, epileptologists can use this tool to provide more personalized and customized counseling. The result of our proposed work promises a paradigm shift by converting the current standard-care of visual/qualitative MRI review to a quantitative framework, including data acquisition, post-processing and decision support tool, that would eventually lead to better treatment planning, reduction in unnecessary pre-surgical evaluation tests (especially invasive evaluation), and improved post-operative seizure outcomes in patients with devastating and disabling medically intractable epilepsy. The quantitative nature of our acquisition/analysis methods also makes it possible to be uniformly adopted by other centers with high consistency.

抽象的 全球有 6500 万人患有癫痫症；大约30%的人没有回应 但可以通过手术治愈。局灶性皮质发育不良（FCD），一种主要病理学 传统 MRI 的视觉分析经常会漏掉医学上难治性的癫痫， 使得手术治疗变得非常困难。我们建议开发一种新型定量 MRI 针对癫痫患者的采集和分析框架，可以提供更多 大脑结构的敏感和特异测量，从而改善 FCD 检测和亚型 预言。为此，量化框架将分三步制定和验证： (1) 开发高分辨率磁共振指纹 (MRF) 扫描，允许 高效、准确、精确地同时量化多个组织属性图。 这些定量图谱在检测和检测方面表现出更加灵敏和特异。 表征细微的信号异常。 (2) 开发图像后处理方法 分析定量图，这将提供定量测量，突出显示额外的 形态学特征，例如灰白色边界模糊、皮质厚度异常和 折叠式的。 (3) 开发基于机器学习的特征筛选和预测工具 描述区分 FCD 亚型的群体级别特征，并预测个体级别的 FCD 位置和子类型。因为 FCD 的检测和亚型预测都是相关的 对于癫痫发作结果，癫痫专家可以使用此工具提供更个性化和 定制咨询。我们提出的工作结果有望通过转换来实现范式转变 当前视觉/定性 MRI 审查的标准护理到定量框架，包括 数据采集​​、后处理和决策支持工具，最终将带来更好的结果 治疗计划，减少不必要的术前评估测试（尤其是侵入性测试） 评估），并改善具有毁灭性和严重性的患者的术后癫痫发作结果 使医学上难治性癫痫失效。我们采集/分析的定量性质 方法也使得其他中心统一采用成为可能，具有较高的一致性。

项目成果

Value of 7T MRI and post-processing in patients with nonlesional 3T MRI undergoing epilepsy presurgical evaluation.

7T MRI 和后处理对接受癫痫术前评估的非病变 3T MRI 患者的价值。

• 发表时间: 2020
• 影响因子: 5.6
• 作者: Wang, Irene;Oh, Sehong;Blümcke, Ingmar;Coras, Roland;Krishnan, Balu;Kim, Sanghoon;McBride, Aaron;Grinenko, Olesya;Lin, Yicong;Overmyer, Margit;Aung, Tin Tun;Lowe, Mark;Larvie, Mykol;Alexopoulos, Andreas V;Bingaman, William;Gonzalez
• 通讯作者: Gonzalez

MR Fingerprinting with b-Tensor Encoding for Simultaneous Quantification of Relaxation and Diffusion in a Single Scan.

采用 b 张量编码的 MR 指纹识别，可在单次扫描中同时量化弛豫和扩散。

• 发表时间: 2022-11
• 影响因子: 3.3
• 作者: Afzali, Maryam;Mueller, Lars;Sakaie, Ken;Hu, Siyuan;Chen, Yong;Szczepankiewicz, Filip;Griswold, Mark A;Jones, Derek K;Ma, Dan
• 通讯作者: Ma, Dan

Radiological and Clinical Value of 7T MRI for Evaluating 3T-Visible Lesions in Pharmacoresistant Focal Epilepsies.

7T MRI 用于评估耐药性局灶性癫痫 3T 可见病变的放射学和临床价值。

• 发表时间: 2021
• 作者: Wang, Z Irene;Oh, Se;Lowe, Mark;Larvie, Mykol;Ruggieri, Paul;Hill, Virginia;Statsevych, Volodymyr;Moon, Doksu;Lee, Jonathan;Emch, Todd;Bena, James;Blümcke, Ingmar;Bingaman, William;Gonzalez;Najm, Imad;Jones, Stephen E
• 通讯作者: Jones, Stephen E

Quantifying 3D MR fingerprinting (3D-MRF) reproducibility across subjects, sessions, and scanners automatically using MNI atlases.

使用 MNI 图集自动量化跨受试者、会话和扫描仪的 3D MR 指纹 (3D-MRF) 再现性。

• 发表时间: 2024-05
• 影响因子: 3.3
• 作者: Dupuis, Andrew;Chen, Yong;Hansen, Michael;Chow, Kelvin;Sun, Jessie E P;Badve, Chaitra;Ma, Dan;Griswold, Mark A;Boyacioglu, Rasim
• 通讯作者: Boyacioglu, Rasim

Atlas of lesion locations and postsurgical seizure freedom in focal cortical dysplasia: A MELD study.

局灶性皮质发育不良的病变位置和术后无癫痫发作图谱：一项 MELD 研究。

• 发表时间: 2022
• 影响因子: 5.6
• 作者: Wagstyl, Konrad;Whitaker, Kirstie;Raznahan, Armin;Seidlitz, Jakob;Vértes, Petra E;Foldes, Stephen;Humphreys, Zachary;Hu, Wenhan;Mo, Jiajie;Likeman, Marcus;Davies, Shirin;Lenge, Matteo;Cohen, Nathan T;Tang, Yingying;Wang, Shan;Ripart, Mathil
• 通讯作者: Ripart, Mathil