Advances in neuro-oncology imaging
Despite the fact that MRI has evolved to become the standard method for diagnosis and
monitoring of patients with brain tumours, conventional MRI sequences have two key …
monitoring of patients with brain tumours, conventional MRI sequences have two key …
Multimodality brain tumor imaging: MR imaging, PET, and PET/MR imaging
JR Fink, M Muzi, M Peck, KA Krohn - Journal of Nuclear Medicine, 2015 - Soc Nuclear Med
Standard MR imaging and CT are routinely used for anatomic diagnosis in brain tumors.
Pretherapy planning and posttreatment response assessments rely heavily on gadolinium …
Pretherapy planning and posttreatment response assessments rely heavily on gadolinium …
T2–FLAIR mismatch, an imaging biomarker for IDH and 1p/19q status in lower-grade gliomas: a TCGA/TCIA project
Purpose: Lower-grade gliomas (WHO grade II/III) have been classified into clinically relevant
molecular subtypes based on IDH and 1p/19q mutation status. The purpose was to …
molecular subtypes based on IDH and 1p/19q mutation status. The purpose was to …
Imaging patterns predict patient survival and molecular subtype in glioblastoma via machine learning techniques
Background MRI characteristics of brain gliomas have been used to predict clinical outcome
and molecular tumor characteristics. However, previously reported imaging biomarkers have …
and molecular tumor characteristics. However, previously reported imaging biomarkers have …
Glioblastoma multiforme: exploratory radiogenomic analysis by using quantitative image features
Purpose To derive quantitative image features from magnetic resonance (MR) images that
characterize the radiographic phenotype of glioblastoma multiforme (GBM) lesions and to …
characterize the radiographic phenotype of glioblastoma multiforme (GBM) lesions and to …
Multi-channel 3D deep feature learning for survival time prediction of brain tumor patients using multi-modal neuroimages
High-grade gliomas are the most aggressive malignant brain tumors. Accurate pre-operative
prognosis for this cohort can lead to better treatment planning. Conventional survival …
prognosis for this cohort can lead to better treatment planning. Conventional survival …
Outcome prediction in patients with glioblastoma by using imaging, clinical, and genomic biomarkers: focus on the nonenhancing component of the tumor
Purpose To correlate patient survival with morphologic imaging features and hemodynamic
parameters obtained from the nonenhancing region (NER) of glioblastoma (GBM), along …
parameters obtained from the nonenhancing region (NER) of glioblastoma (GBM), along …
Imaging of intratumoral heterogeneity in high-grade glioma
Abstract High-grade glioma (HGG), and particularly Glioblastoma (GBM), can exhibit
pronounced intratumoral heterogeneity that confounds clinical diagnosis and management …
pronounced intratumoral heterogeneity that confounds clinical diagnosis and management …
Behind the numbers: decoding molecular phenotypes with radiogenomics—guiding principles and technical considerations
Behind the Numbers: Decoding Molecular Phenotypes with Radiogenomics—Guiding Principles
and Technical Considerations | Radiology RSNA "skipMainNavigation" …
and Technical Considerations | Radiology RSNA "skipMainNavigation" …
Clinical measures, radiomics, and genomics offer synergistic value in AI-based prediction of overall survival in patients with glioblastoma
Multi-omic data, ie, clinical measures, radiomic, and genetic data, capture multi-faceted
tumor characteristics, contributing to a comprehensive patient risk assessment. Here, we …
tumor characteristics, contributing to a comprehensive patient risk assessment. Here, we …