Methodology and technology for the development of a prognostic MRI-based radiomic model for the outcome of head and neck cancer patients
| Autor: | A. Cavallo, Marco Bologna, Tiziana Rancati, Lisa Licitra, Valentina D. A. Corino, Ester Orlandi, Annalisa Trama, Stefano Cavalieri, Luca Mainardi, Nicola Alessandro Iacovelli, Salvatore Alfieri, Giuseppina Calareso, C. Tenconi, Carlo Fallai, Riccardo Valdagni, N. Facchinetti |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
medicine.medical_specialty
medicine.diagnostic_test Wilcoxon signed-rank test business.industry Head and neck cancer Nasopharyngeal neoplasm Nasopharyngeal Neoplasms Magnetic resonance imaging Overfitting Prognosis medicine.disease Magnetic Resonance Imaging Outcome (probability) 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Text mining Head and Neck Neoplasms 030220 oncology & carcinogenesis medicine Humans Radiology business Retrospective Studies Nasopharyngeal cancer |
| Zdroj: | EMBC |
| DOI: | 10.1109/embc44109.2020.9176565 |
| Popis: | The purpose of this study was to establish a methodology and technology for the development of an MRI-based radiomic signature for prognosis of overall survival (OS) in nasopharyngeal cancer from non-endemic areas. The signature was trained using 1072 features extracted from the main tumor in T1-weighted and T2-weighted images of 142 patients. A model with 2 radiomic features was obtained (RAD model). Tumor volume and a signature obtained by training the model on permuted survival data (RADperm model) were used as a reference. A 10-fold cross-validation was used to validate the signature. Harrel's C-index was used as performance metric. A statistical comparison of the RAD, RADperm and volume was performed using Wilcoxon signed rank tests. The C-index for the RAD model was higher compared to the one of the RADperm model (0.69±0.08 vs 0.47±0.05), which ensures absence of overfitting. Also, the signature obtained with the RAD model had an improved C-index compared to tumor volume alone (0.69±0.08 vs 0.65±0.06), suggesting that the radiomic signature provides additional prognostic information. |
| Databáze: | OpenAIRE |
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