Multimodal imaging patterns predict survival in recurrent glioblastoma patients treated with bevacizumab

Conclusion
With the use of machine learning techniques to analyze imaging features derived from pre- and posttherapy multimodal MRI, we were able to develop a predictive model for patient OS that could potentially assist clinical decision making.

Source: Neuro-Oncology - November 8, 2016 Category: Cancer & Oncology Authors: Chang, K., Zhang, B., Guo, X., Zong, M., Rahman, R., Sanchez, D., Winder, N., Reardon, D. A., Zhao, B., Wen, P. Y., Huang, R. Y. Tags: Clinical Investigation Source Type: research