From Name:
From Email:
To Name:
To Email:

Optional Message:


Radiomic subtyping improves disease stratification beyond key molecular, clinical and standard imaging characteristics in patients with glioblastoma

from Neuro-Oncology

The radiomic signature (constructed from 8/386 features identified through Coxnet) increased the prediction accuracy for PFS and OS (in both discovery and validation set) beyond the assessed molecular, clinical and standard imaging parameters (p≤0.01). Prediction errors decreased by 36% for PFS and 37% for OS when adding the radiomic signature (as compared to 29% and 27% with molecular + clinical features alone). The radiomic signature was – along with MGMT-status – the only parameter with independent significance on multivariate analysis (p≤0.01). more


Powered by MultiBriefs
7701 Las Colinas Blvd., Ste. 800, Irving, TX 75063