Department of Radiology and Imaging Sciences, Indiana University School of Medicine, 550 N University Blvd. Room 0663, Indianapolis, IN, 46202, USA.
Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Goodman Hall, 355 West 16th Street, Suite 4100, Indianapolis, IN, 46202, USA.
Curr Oncol Rep. 2021 Feb 18;23(3):34. doi: 10.1007/s11912-021-01020-2.
This review will explore the latest in advanced imaging techniques, with a focus on the complementary nature of multiparametric, multimodality imaging using magnetic resonance imaging (MRI) and positron emission tomography (PET).
Advanced MRI techniques including perfusion-weighted imaging (PWI), MR spectroscopy (MRS), diffusion-weighted imaging (DWI), and MR chemical exchange saturation transfer (CEST) offer significant advantages over conventional MR imaging when evaluating tumor extent, predicting grade, and assessing treatment response. PET performed in addition to advanced MRI provides complementary information regarding tumor metabolic properties, particularly when performed simultaneously. F-fluoroethyltyrosine (FET) PET improves the specificity of tumor diagnosis and evaluation of post-treatment changes. Incorporation of radiogenomics and machine learning methods further improve advanced imaging. The complementary nature of combining advanced imaging techniques across modalities for brain tumor imaging and incorporating technologies such as radiogenomics has the potential to reshape the landscape in neuro-oncology.
本篇综述将探讨先进影像学技术的最新进展,重点关注磁共振成像(MRI)和正电子发射断层扫描(PET)的多参数、多模态成像的互补特性。
先进的 MRI 技术,包括灌注加权成像(PWI)、磁共振波谱(MRS)、扩散加权成像(DWI)和磁共振化学交换饱和传递(CEST),在评估肿瘤范围、预测分级和评估治疗反应方面,比传统的 MRI 成像具有显著优势。此外,在进行高级 MRI 检查的同时进行 PET 检查,可以提供关于肿瘤代谢特性的补充信息,尤其是当同时进行时。F-氟乙基酪氨酸(FET)PET 可提高肿瘤诊断的特异性和评估治疗后变化。纳入放射组学和机器学习方法可进一步改善高级影像学。跨模式联合应用先进的成像技术,以及结合放射组学等技术,对于脑肿瘤成像具有互补性,有可能重塑神经肿瘤学的格局。