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

László Papp; Nina Pötsch; Marko Grahovac; Victor Schmidbauer; Adelheid Woehrer; Matthias Preusser; Markus Mitterhauser; Barbara Kiesel; Wolfgang Wadsak; Thomas Beyer; Marcus Hacker; Tatjana Traub-Weidinger

doi:10.2967/jnumed.117.202267

Research ArticleOncology

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

László Papp, Nina Pötsch, Marko Grahovac, Victor Schmidbauer, Adelheid Woehrer, Matthias Preusser, Markus Mitterhauser, Barbara Kiesel, Wolfgang Wadsak, Thomas Beyer, Marcus Hacker and Tatjana Traub-Weidinger

Journal of Nuclear Medicine June 2018, 59 (6) 892-899; DOI: https://doi.org/10.2967/jnumed.117.202267

László Papp

1QIMP Group, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria

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Nina Pötsch

2Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria

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Marko Grahovac

2Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria

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Victor Schmidbauer

2Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria

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Adelheid Woehrer

3Institute of Neurology, Medical University of Vienna, Vienna, Austria

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Matthias Preusser

4Department of Internal Medicine I, Medical University of Vienna, Vienna, Austria

5Comprehensive Cancer Center, Vienna, Austria

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Markus Mitterhauser

2Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria

6Ludwig Boltzmann Institute Applied Diagnostics, Vienna, Austria

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Barbara Kiesel

7Department of Neurosurgery, Medical University of Vienna, Vienna, Austria; and

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Wolfgang Wadsak

2Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria

8Center for Biomarker Research in Medicine, Graz, Austria

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Thomas Beyer

1QIMP Group, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria

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Marcus Hacker

2Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria

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Tatjana Traub-Weidinger

2Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria

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

Journal of Nuclear Medicine Jun 2018, 59 (6) 892-899; DOI: 10.2967/jnumed.117.202267

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

Journal of Nuclear Medicine Jun 2018, 59 (6) 892-899; DOI: 10.2967/jnumed.117.202267

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