Integration of resting state functional MRI into clinical practice - A large single institution experience
Integration of resting state functional MRI into clinical practice - A large single institution experience
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DOI：
10.1371/journal.pone.0198349
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发表时间：
2018-06-22
期刊：
影响因子：
3.7
通讯作者：
Benzinger, Tammie L. S.
中科院分区：
文献类型：
--
作者：
Leuthardt, Eric C.;Guzman, Gloria;Benzinger, Tammie L. S.
功能磁共振成像（fMRI）是术前评估功能区皮质的重要工具。经典的基于任务的范例需要患者参与，并针对正在评估的每个功能域采集单独的成像序列。静息状态功能磁共振成像（rs-fMRI），然而，使功能定位没有病人的参与，可以评估许多功能域与一个单一的成像会话。迄今为止，这种静息状态数据的后处理一直是资源密集型的，这限制了其在常规临床使用中的广泛应用。通过一种新的自动化算法和先进的成像IT结构，我们报告的临床应用和大规模集成的rs-fMRI到常规神经外科实践。191例连续患者接受了3 T rs-fMRI，其中83例同时接受了基于运动和语言任务的fMRI。使用新型自动化多层感知器算法处理数据，并使用简化的IT成像管道将其整合到立体定向导航中。对颅内肿瘤进行了185项研究，对难治性癫痫进行了14项研究，对血管畸形或其他神经系统疾病进行了33项研究。rs-fMRI的失败率为13%，显著优于任务型fMRI的失败率（38.5%，P <0.01）。
Functional magnetic resonance imaging (fMRI) is an important tool for pre-surgical evaluation of eloquent cortex. Classic task-based paradigms require patient participation and individual imaging sequence acquisitions for each functional domain that is being assessed. Resting state fMRI (rs-fMRI), however, enables functional localization without patient participation and can evaluate numerous functional domains with a single imaging session. To date, post-processing of this resting state data has been resource intensive, which limits its widespread application for routine clinical use. Through a novel automated algorithm and advanced imaging IT structure, we report the clinical application and the large-scale integration of rs-fMRI into routine neurosurgical practice. One hundred and ninety one consecutive patients underwent a 3T rs-fMRI, 83 of whom also underwent both motor and language task-based fMRI. Data were processed using a novel, automated, multi-layer perceptron algorithm and integrated into stereotactic navigation using a streamlined IT imaging pipeline. One hundred eighty-five studies were performed for intracranial neoplasm, 14 for refractory epilepsy and 33 for vascular malformations or other neurological disorders. Failure rate of rs-fMRI of 13% was significantly better than that for task-based fMRI (38.5%,) (p