High-Grade Glioma Treatment Response Monitoring Biomarkers: A Position Statement on the Evidence Supporting the Use of Advanced MRI Techniques in the Clinic, and the Latest Bench-to-Bedside Developments. Part 1: Perfusion and Diffusion Techniques is a research paper published in Frontiers in Oncology (2022). On theSindex it has a DataRank of 0. It has been cited 68 times.
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National Institutes of Health
Grant: R01 CA255123, U01 CA176110, UG3 CA247606
Wellcome Trust
Grant: WT 203148/Z/16/Z
European Cooperation in Science and Technology
Grant: CA18206
Dutch Research Council (NWO)
Grant: 18144
No need to wait? Predicting brain cancer therapy response with metabolic MRI
The Brain Tumour Charity
Grant: GN-000540
NCI NIH HHS
Grant: U01 CA176110
NCI NIH HHS
Grant: UG3 CA247606
Austrian Science Fund FWF
Grant: KLI 646
NCI NIH HHS
Grant: R01 CA221938
NCI NIH HHS
Grant: R01 CA255123
Wellcome Trust
Grant: 203148/Z/16/Z
National Institutes of Health
Grant: 1UG3CA247606-01
Multi-parametric Perfusion MRI for Therapy Response Assessment in Brain Cancer
National Institutes of Health
Grant: 1U01CA176110-01A1
Quantitative (Perfusion and Diffusion) MRI Biomarkers to Measure Glioma Response
National Institutes of Health
Grant: 1R01CA255123-01A1
New treatment monitoring biomarkers for brain tumors using multiparametric MRI with machine learning
Wellcome Trust
Grant: 203148
King's College London Medical Engineering Centre of Research Excellence
National Institutes of Health
Grant: 5U01CA176110-03
Quantitative (Perfusion and Diffusion) MRI Biomarkers to Measure Glioma Response
National Institutes of Health
Grant: 5R01CA255123-04
New treatment monitoring biomarkers for brain tumors using multiparametric MRI with machine learning
National Institutes of Health
Grant: 5UG3CA247606-02
Multi-parametric Perfusion MRI for Therapy Response Assessment in Brain Cancer
Wellcome Trust
FWCI
8.87
Citation Percentile
1.0%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals