Glioma Survival Prediction with Combined Analysis of In Vivo 11C-MET PET Features, Ex Vivo Features, and Patient Features by Supervised Machine Learning

Conclusion: Prediction of survival in amino acid PET–positive glioma patients was highly accurate using computer-supported predictive models based on in vivo, ex vivo, and patient features.

Source: Journal of Nuclear Medicine - June 1, 2018 Category: Nuclear Medicine Authors: Papp, L., Potsch, N., Grahovac, M., Schmidbauer, V., Woehrer, A., Preusser, M., Mitterhauser, M., Kiesel, B., Wadsak, W., Beyer, T., Hacker, M., Traub-Weidinger, T. Tags: Clinical Source Type: research