scholarly journals FAIR and dynamic susceptibility contrast-enhanced perfusion imaging in healthy subjects and stroke patients

2002 ◽  
Vol 16 (2) ◽  
pp. 137-146 ◽  
Author(s):  
Stefan Hunsche ◽  
Dieter Sauner ◽  
Wolfgang G. Schreiber ◽  
Peter Oelkers ◽  
Peter Stoeter
Keyword(s):  
Perfusion Imaging ◽  
Healthy Subjects ◽  
Dynamic Susceptibility ◽  
Dynamic Susceptibility Contrast ◽  
Stroke Patients ◽  
Contrast Enhanced ◽  
Susceptibility Contrast

scholarly journals Classification of Primary Cerebral Lymphoma and Glioblastoma Featuring Dynamic Susceptibility Contrast and Apparent Diffusion Coefficient

2020 ◽  
Vol 10 (11) ◽  
pp. 886
Author(s):  
Felix Eisenhut ◽  
Manuel A. Schmidt ◽  
Florian Putz ◽  
Sebastian Lettmaier ◽  
Kilian Fröhlich ◽  
...  
Keyword(s):  
Diffusion Coefficient ◽  
Apparent Diffusion Coefficient ◽  
Perfusion Imaging ◽  
Hot Spot ◽  
Central Nervous System Lymphoma ◽  
Dynamic Susceptibility ◽  
Dynamic Susceptibility Contrast ◽  
Contrast Enhanced ◽  
Apparent Diffusion ◽  
Susceptibility Contrast

This study aimed to differentiate primary central nervous system lymphoma (PCNSL) and glioblastoma (GBM) via multimodal MRI featuring radiomic analysis. MRI data sets of patients with histological proven PCNSL and GBM were analyzed retrospectively. Diffusion-weighted imaging (DWI) and dynamic susceptibility contrast (DSC) perfusion imaging were evaluated to differentiate contrast enhancing intracerebral lesions. Selective (contrast enhanced tumor area with the highest mean cerebral blood volume (CBV) value) and unselective (contouring whole contrast enhanced lesion) Apparent diffusion coefficient (ADC) measurement was performed. By multivariate logistic regression, a multiparametric model was compiled and tested for its diagnostic strength. A total of 74 patients were included in our study. Selective and unselective mean and maximum ADC values, mean and maximum CBV and ratioCBV as quotient of tumor CBV and CBV in contralateral healthy white matter were significantly larger in patients with GBM than PCNSL; minimum CBV was significantly lower in GBM than in PCNSL. The highest AUC for discrimination of PCNSL and GBM was obtained for selective mean and maximum ADC, mean and maximum CBV and ratioCBV. By integrating these five in a multiparametric model 100% of the patients were classified correctly. The combination of perfusion imaging (CBV) and tumor hot-spot selective ADC measurement yields reliable radiological discrimination of PCNSL from GBM with highest accuracy and is readily available in clinical routine.

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