Publication: Comparison of robust to standardized CT radiomics models to predict overall survival for non‐small cell lung cancer patients
Comparison of robust to standardized CT radiomics models to predict overall survival for non‐small cell lung cancer patients
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Vuong, D., Bogowicz, M., Denzler, S., Oliveira, C., Foerster, R., Amstutz, F., Gabryś, H. S., Unkelbach, J., Hillinger, S., Thierstein, S., Xyrafas, A., Peters, S., Pless, M., Guckenberger, M., & Tanadini‐Lang, S. (2020). Comparison of robust to standardized CT radiomics models to predict overall survival for non‐small cell lung cancer patients. Medical Physics, 47(9), 4045–4053. https://doi.org/10.1002/mp.14224
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Background
Radiomics is a promising tool for the identification of new prognostic biomarkers. Radiomic features can be affected by different scanning protocols, often present in retrospective and prospective clinical data. We compared a computed tomography (CT) radiomics model based on a large but highly heterogeneous multicentric image dataset with robust feature pre‐selection to a model based on a smaller but standardized image dataset without pre‐selection. Materials and methods
Primary tumor radiomics was extracted from pre‐trea
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Creators (Authors)
- Vuong, Diem
- Bogowicz, Marta
- Denzler, Sarah
- Oliveira, Carol
- Foerster, Robert
- Amstutz, Florian
- Gabryś, Hubert S
- Unkelbach, Jan
- Hillinger, Sven
- Thierstein, Sandra
- Xyrafas, Alexandros
- Peters, Solange
- Pless, Miklos
- Guckenberger, Matthias
- Tanadini‐Lang, Stephanie
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Vuong, D., Bogowicz, M., Denzler, S., Oliveira, C., Foerster, R., Amstutz, F., Gabryś, H. S., Unkelbach, J., Hillinger, S., Thierstein, S., Xyrafas, A., Peters, S., Pless, M., Guckenberger, M., & Tanadini‐Lang, S. (2020). Comparison of robust to standardized CT radiomics models to predict overall survival for non‐small cell lung cancer patients. Medical Physics, 47(9), 4045–4053. https://doi.org/10.1002/mp.14224