Perfusion-weighted techniques in MRI grading of pediatric cerebral tumors: efficiency of dynamic susceptibility contrast and arterial spin labeling

• Published in: Neuroradiology 2021-08, Vol.63 (8), p.1353-1366
• Main Authors: Testud, B., Brun, G., Varoquaux, A., Hak, J. F., Appay, R., Le Troter, A., Girard, N., Stellmann, J. P.
• Format: Article
• Language: English
• Subjects: Blood flow; Blood volume; Brain; Brain cancer; Brain tumors; Evaluation; Imaging; Labeling; Life Sciences; Magnetic fields; Magnetic resonance imaging; Medicine; Medicine & Public Health; Neurology; Neuroradiology; Neurosciences; Neurosurgery; Paediatric Neuroradiology; Parameters; Pediatrics; Perfusion; Radiology; Spin dynamics; Spin labeling; Tempering; Tumors
• ISSN: 0028-3940; 1432-1920
• DOI: 10.1007/s00234-021-02640-y

Purpose Dynamic susceptibility contrast (DSC) and arterial spin labeling (ASL) perfusion MRI are applied in pediatric brain tumor grading, but their value for clinical daily practice remains unclear. We explored the ability of ASL and DSC to distinguish low- and high-grade lesions, in an unselected cohort of pediatric cerebral tumors. Methods We retrospectively compared standard perfusion outcomes including blood volume, blood flow, and time parameters from DSC and ASL at 1.5T or 3T MRI scanners of 46 treatment-naive patients by drawing ROI via consensus by two neuroradiologists on the solid portions of every tumor. The discriminant abilities of perfusion parameters were evaluated by receiver operating characteristic (ROC) over the entire cohort and depending on the tumor location and the magnetic field. Results ASL and DSC parameters showed overall low to moderate performances to distinguish low- and high-grade tumors (area under the curve: between 0.548 and 0.697). Discriminant abilities were better for tumors located supratentorially (AUC between 0.777 and 0.810) than infratentorially, where none of the metrics reached significance. We observed a better differentiation between low- and high-grade cancers at 3T than at 1.5-T. For infratentorial tumors, time parameters from DSC performed better than the commonly used metrics (AUC ≥ 0.8). Conclusion DSC and ASL show moderate abilities to distinguish low- and high-grade brain tumors in an unselected cohort. Absolute value of K2, TMAX, tMIP, and normalized value of TMAX of the DSC appear as an alternative to conventional parameters for infratentorial tumors. Three Tesla evaluation should be favored over 1.5-Tesla.