Predicting survival in patients with glioblastoma using MRI radiomic features extracted from radiation planning volumes.

MLA

Geraghty, Benjamin J., et al. “Predicting Survival in Patients with Glioblastoma Using MRI Radiomic Features Extracted from Radiation Planning Volumes.” Journal of Neuro-Oncology, vol. 156, no. 3, Feb. 2022, pp. 579–88. EBSCOhost, https://doi.org/10.1007/s11060-021-03939-9.

APA

Geraghty, B. J., Dasgupta, A., Sandhu, M., Malik, N., Maralani, P. J., Detsky, J., Tseng, C.-L., Soliman, H., Myrehaug, S., Husain, Z., Perry, J., Lau, A., Sahgal, A., & Czarnota, G. J. (2022). Predicting survival in patients with glioblastoma using MRI radiomic features extracted from radiation planning volumes. Journal of Neuro-Oncology, 156(3), 579–588. https://doi.org/10.1007/s11060-021-03939-9

Chicago

Geraghty, Benjamin J, Archya Dasgupta, Michael Sandhu, Nauman Malik, Pejman Jabehdar Maralani, Jay Detsky, Chia-Lin Tseng, et al. 2022. “Predicting Survival in Patients with Glioblastoma Using MRI Radiomic Features Extracted from Radiation Planning Volumes.” Journal of Neuro-Oncology 156 (3): 579–88. doi:10.1007/s11060-021-03939-9.