https://www.selleckchem.com/products/cynarin.html
Surveillance of patients with high-grade glioma (HGG) and identification of disease progression remain a major challenge in neurooncology. This study aimed to develop a support vector machine (SVM) classifier, employing combined longitudinal structural and perfusion MRI studies, to classify between stable disease, pseudoprogression and progressive disease (3-class problem). Study participants were separated into two groups group I (total cohort 64 patients) with a single DSC time point and group II (19 patients) with longitudinal DSC ti
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