Tortora Domenico, Cataldi Matteo, Severino Mariasavina, Consales Alessandro, Pacetti Mattia, Parodi Costanza, Sertorio Fiammetta, Ramaglia Antonia, Cognolato Erica, Nobile Giulia, Mancardi Margherita, Prato Giulia, Siri Laura, Giacomini Thea, Striano Pasquale, Arnaldi Dario, Piatelli Gianluca, Rossi Andrea, Nobili Lino
Neuroradiology Unit, IRCCS Istituto Giannina Gaslini, 16147 Genoa, Italy.
Child Neuropsychiatry Unit, IRCCS Istituto Giannina Gaslini, 16147 Genoa, Italy.
Diagnostics (Basel). 2022 Mar 25;12(4):811. doi: 10.3390/diagnostics12040811.
The role of MR Arterial-Spin-Labeling Cerebral Blood Flow maps (ASL-CBF) in the assessment of pediatric focal epilepsy is still debated. We aim to compare the Seizure Onset Zone (SOZ) detection rate of three methods of evaluation of ASL-CBF: 1) qualitative visual (qCBF), 2) z-score voxel-based quantitative analysis of index of asymmetry (AI-CBF), and 3) z-score voxel-based cluster analysis of the quantitative difference of patient’s CBF from the normative data of an age-matched healthy population (cCBF). Interictal ASL-CBF were acquired in 65 pediatric patients with focal epilepsy: 26 with focal brain lesions and 39 with a normal MRI. All hypoperfusion areas visible in at least 3 contiguous images of qCBF analysis were identified. In the quantitative evaluations, clusters with a significant z-score AI-CBF ≤ −1.64 and areas with a z-score cCBF ≤ −1.64 were considered potentially related to the SOZ. These areas were compared with the SOZ defined by the anatomo-electro-clinical data. In patients with a positive MRI, SOZ was correctly identified in 27% of patients using qCBF, 73% using AI-CBF, and 77% using cCBF. In negative MRI patients, SOZ was identified in 18% of patients using qCBF, in 46% using AI-CBF, and in 64% using cCBF (p < 0.001). Quantitative analyses of ASL-CBF maps increase the detection rate of SOZ compared to the qualitative method, principally in negative MRI patients.
磁共振动脉自旋标记脑血流图(ASL-CBF)在小儿局灶性癫痫评估中的作用仍存在争议。我们旨在比较三种ASL-CBF评估方法的癫痫发作起始区(SOZ)检测率:1)定性视觉评估(qCBF);2)基于体素的z分数不对称指数定量分析(AI-CBF);3)基于体素的z分数聚类分析,即将患者的CBF与年龄匹配的健康人群的标准数据进行定量差异分析(cCBF)。对65例小儿局灶性癫痫患者进行发作间期ASL-CBF检查:其中26例有局灶性脑损伤,39例MRI正常。识别出在qCBF分析的至少3个连续图像中可见的所有灌注不足区域。在定量评估中,z分数AI-CBF≤ -1.64的聚类和z分数cCBF≤ -1.64的区域被认为可能与SOZ相关。将这些区域与解剖-电-临床数据定义的SOZ进行比较。在MRI阳性的患者中,使用qCBF正确识别SOZ的患者占27%,使用AI-CBF的为73%,使用cCBF的为77%。在MRI阴性的患者中,使用qCBF识别出SOZ的患者占18%,使用AI-CBF的为46%,使用cCBF的为64%(p < 0.001)。与定性方法相比,ASL-CBF图的定量分析提高了SOZ的检测率,主要是在MRI阴性的患者中。