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.

摘要 全球有6500万人患有癫痫，其中约30%的人对癫痫治疗没有反应。 药物治疗，但可以通过手术治愈。局灶性皮质发育不良（FCD），一种主要的病理学， 医学上难治的癫痫，经常被常规MRI的视觉分析遗漏， 使得手术治疗非常困难。我们建议开发一种新的定量MRI 癫痫患者的采集和分析框架，可以提供更多 敏感和具体的措施，从而改善FCD检测和亚型 预测.为此，将分三个步骤制定和验证量化框架： (1)开发高分辨率磁共振指纹（MRF）扫描， 高效、准确和精确地同时量化多个组织特性图。 这些定量图谱显示出在检测和治疗上更敏感和特异， 表征细微的信号异常(2)开发图像后处理方法， 分析定量地图，这将提供定量测量，突出其他 形态学特征，如灰白色边界模糊，异常皮质厚度和 折页. (3)开发基于机器学习的特征筛选和预测工具， 表征区分FCD亚型的组水平特征，并预测个体水平FCD 位置和子类型。由于FCD的检测和亚型预测都是相关的， 与癫痫发作的结果，癫痫学家可以使用这个工具，以提供更个性化的， 定制咨询我们所提出的工作的结果承诺通过转换 将当前标准治疗的视觉/定性MRI审查转变为定量框架，包括 数据采集、后处理和决策支持工具，最终将导致更好的 治疗计划，减少不必要的术前评估测试（特别是侵入性 评估），并改善术后癫痫发作的结果，患者的破坏性和 使药物难治性癫痫致残我们收购/分析的定量性质 这些方法也可以被其他中心以高度一致性统一采用。

项目成果

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

• DOI: 10.1002/mrm.29352
• 发表时间: 2022-11
• 期刊: MAGNETIC RESONANCE IN MEDICINE
• 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

Emerging Trends in Neuroimaging of Epilepsy.

• DOI: 10.1177/1535759721991161
• 发表时间: 2021-03
• 期刊: Epilepsy currents
• 影响因子: 3.6
• 作者: Bernasconi N;Wang I
• 通讯作者: Wang I

Interpretable surface-based detection of focal cortical dysplasias: a Multi-centre Epilepsy Lesion Detection study.

• DOI: 10.1093/brain/awac224
• 发表时间: 2022-11-21
• 期刊: BRAIN
• 影响因子: 14.5
• 作者: Spitzer, Hannah;Ripart, Mathilde;Whitaker, Kirstie;D'Arco, Felice;Mankad, Kshitij;Chen, Andrew A.;Napolitano, Antonio;De Palma, Luca;De Benedictis, Alessandro;Foldes, Stephen;Humphreys, Zachary;Zhang, Kai;Hu, Wenhan;Mo, Jiajie;Likeman, Marcus;Davies, Shirin;Guttler, Christopher;Lenge, Matteo;Cohen, Nathan T.;Tang, Yingying;Wang, Shan;Chari, Aswin;Tisdall, Martin;Bargallo, Nuria;Conde-Blanco, Estefania;Pariente, Jose Carlos;Pascual-Diaz, Saul;Delgado-Martinez, Ignacio;Perez-Enriquez, Carmen;Lagorio, Ilaria;Abela, Eugenio;Mullatti, Nandini;O'Muircheartaigh, Jonathan;Vecchiato, Katy;Liu, Yawu;Caligiuri, Maria Eugenia;Sinclair, Ben;Vivash, Lucy;Willard, Anna;Kandasamy, Jothy;McLellan, Ailsa;Sokol, Drahoslav;Semmelroch, Mira;Kloster, Ane G.;Opheim, Giske;Ribeiro, Leticia;Yasuda, Clarissa;Rossi-Espagnet, Camilla;Hamandi, Khalid;Tietze, Anna;Barba, Carmen;Guerrini, Renzo;Gaillard, William Davis;You, Xiaozhen;Wang, Irene;Gonzalez-Ortiz, Sofia;Severino, Mariasavina;Striano, Pasquale;Tortora, Domenico;Kalviainen, Reetta;Gambardella, Antonio;Labate, Angelo;Desmond, Patricia;Lui, Elaine;O'Brien, Terence;Shetty, Jay;Jackson, Graeme;Duncan, John S.;Winston, Gavin P.;Pinborg, Lars H.;Cendes, Fernando;Theis, Fabian J.;Shinohara, Russell T.;Cross, J. Helen;Baldeweg, Torsten;Adler, Sophie;Wagstyl, Konrad
• 通讯作者: Wagstyl, Konrad

Individual localization value of resting-state fMRI in epilepsy presurgical evaluation: A combined study with stereo-EEG.

• DOI: 10.1016/j.clinph.2021.07.028
• 发表时间: 2021-12
• 期刊: Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
• 作者: Tang Y;Choi JY;Alexopoulos A;Murakami H;Daifu-Kobayashi M;Zhou Q;Najm I;Jones SE;Wang ZI
• 通讯作者: Wang ZI

Using magnetic resonance fingerprinting to characterize periventricular nodular heterotopias in pharmacoresistant epilepsy.

• DOI: 10.1111/epi.17191
• 发表时间: 2022-05
• 期刊: EPILEPSIA
• 影响因子: 5.6
• 作者: Choi, Joon Yul;Krishnan, Balu;Hu, Siyuan;Martinez, David;Tang, Yinging;Wang, Xiaofeng;Sakaie, Ken;Jones, Stephen;Murakami, Hiroatsu;Bluemcke, Ingmar;Najm, Imad;Ma, Dan;Wang, Zhong Irene
• 通讯作者: Wang, Zhong Irene