Prediction of 1p/19q Codeletion in Diffuse Glioma Patients Using Pre-operative Multiparametric Magnetic Resonance Imaging

Authors

Donnie Kim, The University of Texas MD Anderson Cancer Center
Nicholas Wang, The University Of Michigan
Viswesh Ravikumar, The University of Texas MD Anderson Cancer Center
D R. Raghuram, The University of Texas MD Anderson Cancer Center
Jinju Li, The University Of Michigan
Ankit Patel, The University of Texas MD Anderson Cancer Center
Richard E. Wendt PHD, University of MD Anderson Cancer CenterFollow
Ganesh Rao, The University of Texas MD Anderson Cancer Center
Arvind Rao, The University of Texas MD Anderson Cancer Center

Files

Description

Kim D, Wang N, Ravikumar V, Raghuram DR, Li J, Patel A, Wendt RE III, Rao G and Rao A (2019) Prediction of 1p/19q Codeletion in Diffuse Glioma Patients Using Pre-operative Multiparametric Magnetic Resonance Imaging. Front. Comput. Neurosci. 13:52. doi: 10.3389/fncom.2019.00052

DOI

https://doi.org/10.3389/fncom.2019.00052

Publication Date

7-2019

Publisher

Frontiers

Keywords

multiparametric MRI, image perturbation, radiomic features, glioma, persistent homology, 1p/19q codeletion

Recommended Citation

Kim, Donnie; Wang, Nicholas; Ravikumar, Viswesh; Raghuram, D R.; Li, Jinju; Patel, Ankit; Wendt, Richard E. PHD; Rao, Ganesh; and Rao, Arvind, "Prediction of 1p/19q Codeletion in Diffuse Glioma Patients Using Pre-operative Multiparametric Magnetic Resonance Imaging" (2019). Imaging Physics Journal Articles. 6.
doi:https://doi.org/10.3389/fncom.2019.00052