Servicio de Radiología, Área Clínica de Imagen Médica, Hospital Universitario y Politécnico La Fe, Valencia, Spain.
Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA), Universitat Politècnica de València, Valencia, Spain.
J Neuroimaging. 2022 Jan;32(1):127-133. doi: 10.1111/jon.12920. Epub 2021 Sep 1.
Differentiation between glioblastoma multiforme (GBM) and solitary brain metastasis (SBM) remains a challenge in neuroradiology with up to 40% of the cases to be incorrectly classified using only conventional MRI. The inclusion of perfusion MRI parameters provides characteristic features that could support the distinction of these pathological entities. On these grounds, we aim to use a perfusion gradient in the peritumoral edema.
Twenty-four patients with GBM or an SBM underwent conventional and perfusion MR imaging sequences before tumors' surgical resection. After postprocessing of the images, quantification of dynamic susceptibility contrast (DSC) perfusion parameters was made. Three concentric areas around the tumor were defined in each case. The monocompartimental and pharmacokinetics parameters of perfusion MRI were analyzed in both series.
DSC perfusion MRI models can provide useful information for the differentiation between GBM and SBM. It can be observed that most of the perfusion MR parameters (relative cerebral blood volume, relative cerebral blood flow, relative Ktrans, and relative volume fraction of the interstitial space) clearly show higher gradient for GBM than SBM. GBM also demonstrates higher heterogeneity in the peritumoral edema and most of the perfusion parameters demonstrate higher gradients in the area closest to the enhancing tumor.
Our results show that there is a difference in the perfusion parameters of the edema between GBM and SBM demonstrating a vascularization gradient. This could help not only for the diagnosis, but also for planning surgical or radiotherapy treatments delineating the real extension of the tumor.
胶质母细胞瘤(GBM)和单发脑转移瘤(SBM)的鉴别在神经影像学中仍然具有挑战性,高达 40%的病例仅通过常规 MRI 进行分类可能会出现错误。灌注 MRI 参数的加入提供了特征性的特征,可以支持这些病理实体的区分。基于这些原因,我们旨在使用肿瘤周围水肿中的灌注梯度。
24 例 GBM 或 SBM 患者在肿瘤手术切除前接受常规和灌注 MRI 序列检查。对图像进行后处理后,对动态磁敏感对比(DSC)灌注参数进行定量分析。在每个病例中,均在肿瘤周围定义了三个同心区域。分析了两个系列中的灌注 MRI 的单室和药代动力学参数。
DSC 灌注 MRI 模型可以为 GBM 和 SBM 的鉴别提供有用的信息。可以观察到,大多数灌注 MR 参数(相对脑血容量、相对脑血流量、相对 Ktrans 和间质空间相对体积分数)在 GBM 中明显比 SBM 具有更高的梯度。GBM 还表现出肿瘤周围水肿更高的异质性,大多数灌注参数在靠近增强肿瘤的区域显示出更高的梯度。
我们的结果表明,GBM 和 SBM 之间的水肿灌注参数存在差异,表现出血管化梯度。这不仅有助于诊断,还有助于规划手术或放射治疗,描绘肿瘤的实际扩展范围。