7T Neurosurgical Mapping Protocol for Endoscopic Resection of Skull Base Tumors

颅底肿瘤内镜切除的 7T 神经外科标测方案

• 批准号: 10175768
• 负责人: Priti Balchandani
• 金额: $ 16.95万
• 依托单位: ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-08-01 至 2021-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10175768
• 关键词: 2019-nCoV; Address; Administrative Supplement; Adult Respiratory Distress Syndrome; Age; Anatomy; Blood Vessels; Brain; Brain Injuries; Brain Stem; Brain region; COVID-19; Cancer Patient; China; Clinical; Control Groups; Coronavirus; Databases; Diagnosis; Diffusion; Disease; Encephalopathies; Excision; Fatality rate; Functional Magnetic Resonance Imaging; Functional disorder; Gender; Goals; Headache; Health; Health system; Hemorrhage; Hippocampus (Brain); Image; Image Analysis; Imaging Techniques; Infection; Informatics; Invaded; Light; Link; Lung; MRI Scans; Magnetic Resonance Imaging; Measurement; Measures; Methods; Middle East Respiratory Syndrome Coronavirus; Multimodal Imaging; Nasal cavity; Nausea; Nervous system structure; Neuraxis; Neurologic; Neurologic Effect; Neurologic Symptoms; Neuropsychology; Olfactory Nerve; Outcome; Pathogenicity; Pathology; Pathway Analysis; Patient Selection; Patients; Prospective Studies; Protocols documentation; Radiologic Finding; Recovery; Reporting; Resolution; Respiration; Respiratory Center; Respiratory Signs and Symptoms; Respiratory System; Respiratory distress; Rest; Retrospective Studies; SARS coronavirus; Sample Size; Scanning; Skull Base Neoplasms; Smell Perception; Stroke; Structure; Survivors; Techniques; Testing; Thalamic structure; Time; Travel; United States National Institutes of Health; Vagus nerve structure; Ventilator; Virus; Virus Diseases; Work; brain abnormalities; brain tissue; brain volume; cancer diagnosis; cohort; contrast enhanced; cytokine release syndrome; design; falls; graph theory; improved; insight; interest; magnetic field; malignant neurologic neoplasms; mental state; multimodality; nervous system disorder; neuroimaging; olfactory bulb; patient population; patient subsets; recruit; respiratory; response; targeted imaging; tool; tractography; ventilation

Project Summary Although neurological symptoms are being observed in a high number of COVID-19 patients, a prospective study aimed at scanning recovered COVID-19 patients with advanced multi-modal neuroimaging methods has yet to be performed. There is much to be learned about the persisting effects of the SARS-CoV-2 virus on the central nervous system, and high-resolution magnetic resonance imaging (MRI) is the ideal non-invasive tool to reveal these effects as well as mechanisms of infection. In this work, we will leverage the high resolution and enhanced contrasts offered by multi-modal 7 Tesla (7T) imaging to study the structural, vascular, functional, and connectomic changes in the brain related to the pathophysiology of COVID-19. In particular, we will reveal, in unprecedented detail, brain abnormalities resulting from the SARS-CoV-2 infection as well as shine a brighter light on possible links to loss of respiratory drive due to viral infection through the brain stem. Imaging findings will be correlated to clinical neurological symptoms and neuropsychological measures. Three patient subgroups will be recruited for our prospective study: non-cancer patients with neurological symptoms who did not require a ventilator, cancer patients with neurological symptoms who did not require a ventilator, and patients who had severe respiratory distress and required ventilation. A retrospective study will also be performed on clinical brain MRI scans for a group of COVID-19 patients with neurological symptoms, seen at Mount Sinai Health System, and outcomes of this analysis will aid in patient selection for the 7T study and additional analysis of persisting versus transient neurological effects. Our study falls within the scope of our R01 application on “7T Neurosurgical Mapping Protocol for Endoscopic Resection of Skull Base Tumors” as we are applying similar multimodal 7T imaging techniques to reveal detailed anatomy in the brain and to characterize effects of disease in both studies. We will simply extend the cohort to include COVID-19 recovered patients and further optimize imaging in the brain stem which will be applicable to both studies. Our study aligns with the goals of the Notice of Special Interest announced by the NCI for administrative supplements on COVID-19 as it addresses potential for differential responses among diverse cancer patient populations to SARS-CoV-2 infection or COVID-19 disease in central nervous system.

项目概要 尽管在大量 COVID-19 患者中观察到神经系统症状，但一项前瞻性研究 旨在使用先进的多模态神经影像方法扫描康复的 COVID-19 患者的目标尚未实现 关于 SARS-CoV-2 病毒对中枢神经系统的持续影响，还有很多值得了解的地方。 神经系统，高分辨率磁共振成像（MRI）是揭示神经系统的理想非侵入性工具 在这项工作中，我们将利用高分辨率和增强的这些影响以及感染机制。 多模态 7 特斯拉 (7T) 成像提供的对比，用于研究结构、血管、功能和 我们将特别揭示与 COVID-19 病理生理学相关的大脑连接组变化。 SARS-CoV-2 感染引起的大脑异常的细节前所未有，并且更加明亮 阐明脑干病毒感染导致呼吸动力丧失可能存在的联系。 将与临床神经症状和神经心理学测量相关。 我们的前瞻性研究将招募：有神经系统症状且不需要的非癌症患者 呼吸机、有神经系统症状但不需要呼吸机的癌症患者以及患有神经系统症状的患者 还将对临床大脑进行回顾性研究。 在西奈山卫生系统对一组出现神经系统症状的 COVID-19 患者进行 MRI 扫描， 该分析的结果将有助于选择 7T 研究的患者以及持续存在的额外分析 我们的研究属于“7T”R01 应用的范围。 颅底肿瘤内窥镜切除的神经外科映射方案”，因为我们正在应用类似的 多模态 7T 成像技术可揭示大脑的详细解剖结构并表征疾病的影响 在这两项研究中，我们将简单地扩展队列以包括 COVID-19 康复患者并进一步优化。 脑干成像将适用于​​这两项研究，这与通知的目标一致。 NCI 宣布对 COVID-19 的行政补充特别感兴趣，因为它解决了 不同癌症患者群体对 SARS-CoV-2 感染的潜在反应可能存在差异，或者 中枢神经系统的 COVID-19 疾病。

项目成果

Neuroimaging findings and neurological manifestations in hospitalized COVID-19 patients: Impact of cancer and ventilatory support status.

• DOI: 10.1371/journal.pone.0283614
• 发表时间: 2023
• 期刊: PloS one
• 影响因子: 3.7

Ultrahigh field MR Neuroimaging.

超高场磁共振神经成像。

• DOI: 10.1097/rmr.0000000000000210
• 发表时间: 2019
• 期刊: Topics in magnetic resonance imaging : TMRI
• 作者: Verma,Gaurav;Balchandani,Priti
• 通讯作者: Balchandani,Priti

Subfield-specific tractography of the hippocampus in epilepsy patients at 7 Tesla.

• DOI: 10.1016/j.seizure.2018.09.005
• 发表时间: 2018-11
• 期刊: Seizure
• 作者: Rutland JW;Feldman RE;Delman BN;Panov F;Fields MC;Marcuse LV;Hof PR;Lin HM;Balchandani P
• 通讯作者: Balchandani P

Hippocampal subfield-specific connectivity findings in major depressive disorder: A 7 Tesla diffusion MRI study.

重度抑郁症中海马亚区特异性连接的发现：一项 7 特斯拉扩散 MRI 研究。

• DOI: 10.1016/j.jpsychires.2019.02.008
• 发表时间: 2019
• 期刊: Journal of psychiatric research
• 影响因子: 4.8
• 作者: Rutland,JohnW;Brown,Stephanie;Verma,Gaurav;Feldman,RebeccaE;Sharma,Himanshu;Markowitz,Matthew;Schneider,Molly;Delman,BradleyN;Murrough,James;Balchandani,Priti
• 通讯作者: Balchandani,Priti

Improvement of magnetic resonance imaging using a wireless radiofrequency resonator array.

• DOI: 10.1038/s41598-021-02533-3
• 发表时间: 2021-11-29
• 期刊: Scientific reports
• 影响因子: 4.6
• 作者: Alipour A;Seifert AC;Delman BN;Robson PM;Shrivastava R;Hof PR;Adriany G;Fayad ZA;Balchandani P
• 通讯作者: Balchandani P