3D pCASL-perfusion in preoperative assessment of brain gliomas in large cohort of patients.
A I BatalovN E ZakharovaI N ProninA Yu BelyaevE L PogosbekyanS A GoryaynovA E BykanovA N TyurinaA M ShevchenkoK D SolozhentsevaP V NikitinA A PotapovPublished in: Scientific reports (2022)
The aim of the study was to evaluate the role of pseudocontinuous arterial spin labeling perfusion (pCASL-perfusion) in preoperative assessment of cerebral glioma grades. The study group consisted of 253 patients, aged 7-78 years with supratentorial gliomas (65 low-grade gliomas (LGG), 188 high-grade gliomas (HGG)). We used 3D pCASL-perfusion for each patient in order to calculate the tumor blood flow (TBF). We obtained maximal tumor blood flow (maxTBF) in small regions of interest (30 ± 10 mm 2 ) and then normalized absolute maximum tumor blood flow (nTBF) to that of the contralateral normal-appearing white matter of the centrum semiovale. MaxTBF and nTBF values significantly differed between HGG and LGG groups (p < 0.001), as well as between patient groups separated by the grades (grade II vs. grade III) (p < 0.001). Moreover, we performed ROC-analysis which demonstrated high sensitivity and specificity in differentiating between HGG and LGG. We found significant differences for maxTBF and nTBF between grade III and IV gliomas, however, ROC-analysis showed low sensitivity and specificity. We did not observe a significant difference in TBF for astrocytomas and oligodendrogliomas. Our study demonstrates that 3D pCASL-perfusion as an effective diagnostic tool for preoperative differentiation of glioma grades.
Keyphrases
- high grade
- blood flow
- low grade
- end stage renal disease
- white matter
- contrast enhanced
- ejection fraction
- newly diagnosed
- patients undergoing
- chronic kidney disease
- peritoneal dialysis
- multiple sclerosis
- case report
- prognostic factors
- magnetic resonance imaging
- blood brain barrier
- density functional theory
- computed tomography
- body composition
- patient reported outcomes
- patient reported
- data analysis
- molecular dynamics