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The evolving role of neurological imaging in neuro-oncology.

机译:神经影像学在神经肿瘤学中的发展作用。

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Neuroimaging has played a critical role in the management of patients with neurological disease, since the first ventriculogram was performed in 1918 by Walter Dandy (Mezger et al. Langenbecks Arch Surg 398(4):501-514, 2013). Over the last century, technology has evolved significantly, and within the last decade, the role of imaging in the management of patients with neuro-oncologic disease has shifted from a tool for gross identification of intracranial pathology, to an integral part of real-time neurological surgery. Current neurological imaging provides detailed information about anatomical structure, neurological function, and metabolic and metabolism-important characteristics that help clinicians and surgeons non-invasively manage patients with brain tumors. It is valuable to review the evolution of neurological imaging over the past several decades, focusing on its role in the management of patients with intracranial tumors. Novel neuro-imaging tools and developing technology with the potential to further transform clinical practice will be discussed, as will the key role neurological imaging plays in neurosurgical planning and intraoperative navigation. With increasingly complex imaging modalities creating growing amounts of raw data, validation of techniques, data analysis, and integrating various pieces of imaging data into individual patient management plans, remain significant challenges for clinicians. We thus suggest mechanisms that might ultimately allow for evidence based integration of imaging in the management of patients with neuro-oncologic disease.
机译:自从1918年沃尔特·丹迪(Walter Dandy)进行了第一例心室描记术以来,神经影像学在神经疾病患者的治疗中就发挥了至关重要的作用(Mezger等人Langenbecks Arch Surg 398(4):501-514,2013)。在过去的一个世纪中,技术取得了长足的发展,在过去的十年中,影像学在神经肿瘤疾病患者管理中的作用已经从用于全面识别颅内病理的工具转变为实时的组成部分。神经外科。当前的神经影像学提供了有关解剖结构,神经功能以及重要的代谢和新陈代谢特征的详细信息,可帮助临床医生和外科医生无创地治疗脑肿瘤患者。回顾过去几十年中神经影像学的发展非常重要,重点是其在颅内肿瘤患者管理中的作用。将讨论新型的神经影像工具和具有进一步改变临床实践潜力的开发技术,以及神经影像学在神经外科计划和术中导航中的关键作用。随着越来越复杂的成像方式创建越来越多的原始数据,技术验证,数据分析以及将各种成像数据整合到单个患者管理计划中,仍然是临床医生面临的重大挑战。因此,我们提出了可能最终允许基于证据的影像学整合治疗神经肿瘤患者的机制。

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