Fordham Austin-John, Hacherl Caitlin-Craft, Patel Neal, Jones Keri, Myers Brandon, Abraham Mickey, Gendreau Julian
School of Medicine, Mercer University School of Medicine, Savannah, GA 31404, USA.
Graduate Medical Education, Eisenhower Army Medical Center, Augusta, GA 30905, USA.
Cancers (Basel). 2021 Jun 13;13(12):2960. doi: 10.3390/cancers13122960.
Differentiating between glioblastomas and solitary brain metastases proves to be a challenging diagnosis for neuroradiologists, as both present with imaging patterns consisting of peritumoral hyperintensities with similar intratumoral texture on traditional magnetic resonance imaging sequences. Early diagnosis is paramount, as each pathology has completely different methods of clinical assessment. In the past decade, recent developments in advanced imaging modalities enabled providers to acquire a more accurate diagnosis earlier in the patient's clinical assessment, thus optimizing clinical outcome. Dynamic susceptibility contrast has been optimized for detecting relative cerebral blood flow and relative cerebral blood volume. Diffusion tensor imaging can be used to detect changes in mean diffusivity. Neurite orientation dispersion and density imaging is an innovative modality detecting changes in intracellular volume fraction, isotropic volume fraction, and extracellular volume fraction. Magnetic resonance spectroscopy is able to assist by providing a metabolic descriptor while detecting variable ratios of choline/N-acetylaspartate, choline/creatine, and N-acetylaspartate/creatine. Finally, radiomics and machine learning algorithms have been devised to assist in improving diagnostic accuracy while often utilizing more than one advanced imaging protocol per patient. In this review, we provide an update on all the current evidence regarding the identification and differentiation of glioblastomas from solitary brain metastases.
对神经放射科医生来说,鉴别胶质母细胞瘤和孤立性脑转移瘤是一项具有挑战性的诊断任务,因为在传统磁共振成像序列上,二者的影像学表现均为瘤周高信号,且瘤内质地相似。早期诊断至关重要,因为每种病理类型的临床评估方法完全不同。在过去十年中,先进成像技术的最新进展使医疗人员能够在患者临床评估的早期获得更准确的诊断,从而优化临床结果。动态磁敏感对比成像已得到优化,用于检测相对脑血流量和相对脑血容量。扩散张量成像可用于检测平均扩散率的变化。神经突方向离散度与密度成像(NODDI)是一种创新技术,可检测细胞内体积分数、各向同性体积分数和细胞外体积分数的变化。磁共振波谱能够在检测胆碱/N-乙酰天门冬氨酸、胆碱/肌酸和N-乙酰天门冬氨酸/肌酸的可变比率时提供代谢描述,从而起到辅助作用。最后,已经设计出了放射组学和机器学习算法来帮助提高诊断准确性,通常每个患者会使用不止一种先进成像方案。在这篇综述中,我们提供了关于胶质母细胞瘤与孤立性脑转移瘤的识别和鉴别的所有现有证据的最新情况。