当前临床脑肿瘤影像学
Current Clinical Brain Tumor Imaging.
作者信息
Villanueva-Meyer Javier E, Mabray Marc C, Cha Soonmee
机构信息
Department of Radiology and Biomedical Imaging, Neuroradiology Section, University of California San Francisco, San Francisco, California.
出版信息
Neurosurgery. 2017 Sep 1;81(3):397-415. doi: 10.1093/neuros/nyx103.
Abstract
Neuroimaging plays an ever evolving role in the diagnosis, treatment planning, and post-therapy assessment of brain tumors. This review provides an overview of current magnetic resonance imaging (MRI) methods routinely employed in the care of the brain tumor patient. Specifically, we focus on advanced techniques including diffusion, perfusion, spectroscopy, tractography, and functional MRI as they pertain to noninvasive characterization of brain tumors and pretreatment evaluation. The utility of both structural and physiological MRI in the post-therapeutic brain evaluation is also reviewed with special attention to the challenges presented by pseudoprogression and pseudoresponse.
摘要
神经影像学在脑肿瘤的诊断、治疗规划及治疗后评估中发挥着日益重要的作用。本综述概述了目前在脑肿瘤患者护理中常规使用的磁共振成像（MRI）方法。具体而言，我们重点关注先进技术，包括扩散成像、灌注成像、波谱分析、纤维束成像和功能MRI，因为它们与脑肿瘤的无创特征描述及治疗前评估有关。还回顾了结构和生理MRI在治疗后脑评估中的效用，并特别关注假性进展和假性反应带来的挑战。
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2
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3
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4
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6
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