Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA.
J Magn Reson Imaging. 2020 Oct;52(4):978-997. doi: 10.1002/jmri.27105. Epub 2020 Mar 19.
Glioblastoma is the most common and most malignant primary brain tumor. Despite aggressive multimodal treatment, its prognosis remains poor. Even with continuous developments in MRI, which has provided us with newer insights into the diagnosis and understanding of tumor biology, response assessment in the posttherapy setting remains challenging. We believe that the integration of additional information from advanced neuroimaging techniques can further improve the diagnostic accuracy of conventional MRI. In this article, we review the utility of advanced neuroimaging techniques such as diffusion-weighted imaging, diffusion tensor imaging, perfusion-weighted imaging, proton magnetic resonance spectroscopy, and chemical exchange saturation transfer in characterizing and evaluating treatment response in patients with glioblastoma. We will also discuss the existing challenges and limitations of using these techniques in clinical settings and possible solutions to avoiding pitfalls in study design, data acquisition, and analysis for future studies. LEVEL OF EVIDENCE: 2 TECHNICAL EFFICACY STAGE: 3 J. Magn. Reson. Imaging 2020;52:978-997.
胶质母细胞瘤是最常见和最恶性的原发性脑肿瘤。尽管采用了积极的多模式治疗,但预后仍然很差。即使在 MRI 方面不断发展,为我们提供了对肿瘤生物学诊断和理解的新见解,但在治疗后评估反应仍然具有挑战性。我们相信,整合来自先进神经影像学技术的附加信息可以进一步提高常规 MRI 的诊断准确性。在本文中,我们回顾了扩散加权成像、扩散张量成像、灌注加权成像、质子磁共振波谱和化学交换饱和传递等先进神经影像学技术在胶质母细胞瘤患者的特征和治疗反应评估中的应用。我们还将讨论在临床环境中使用这些技术存在的挑战和局限性,以及避免未来研究中在研究设计、数据采集和分析中出现缺陷的可能解决方案。证据水平:2 技术功效分期:3 J. 磁共振成像 2020;52:978-997。