Analysis of heterogeneity in T2-weighted MR images can differentiate pseudoprogression from progression in glioblastoma.

Thomas C BoothTimothy J LarkinYinyin YuanMikko I KettunenSarah N DawsonDaniel ScoffingsHolly C CanutoSarah L VowlerHeide KirschenlohrMichael P HobsonFlorian MarkowetzSarah JefferiesKevin M Brindle

Published in: PloS one (2017)

Analysis of heterogeneity, in T2-weighted MR images, which are acquired routinely in the clinic, has the potential to detect an earlier treatment response allowing an early change in treatment strategy. Prospective validation of this technique in larger datasets is required.

Keyphrases

contrast enhanced
magnetic resonance
deep learning
convolutional neural network
single cell
magnetic resonance imaging
optical coherence tomography
network analysis
computed tomography
primary care
risk assessment
human health
climate change
smoking cessation