Prognostic role of pre-treatment magnetic resonance imaging (MRI)-based radiomic analysis in effectively cured head and neck squamous cell carcinoma (HNSCC) patients
| Autor: | Valentina D. A. Corino, Alessandra Marcantoni, Lisa Licitra, Ester Orlandi, Paolo Bossi, Laura D. Locati, Sara Valerini, Luca Bellanti, Aurora Mirabile, Iolanda De Martino, Toni Ibrahim, Stefania Vecchio, Salvatore Battaglia, Rebecca Romanò, Letizia Deantonio, Marco Ravanelli, Andrea Ferri, Tito Poli, Damiano Caruso, Fulvia Blengio, Marco Bologna, Salvatore Alfieri, Alberto Grammatica, Antonella Richetti, Achille Tarsitano, Enrica Grosso, Luca Mainardi, Giuseppina Calareso, Francesco Martucci |
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| Přispěvatelé: | Alfieri S., Romano R., Bologna M., Calareso G., Corino V., Mirabile A., Ferri A., Bellanti L., Poli T., Marcantoni A., Grosso E., Tarsitano A., Battaglia S., Blengio F., De Martino I., Valerini S., Vecchio S., Richetti A., Deantonio L., Martucci F., Grammatica A., Ravanelli M., Ibrahim T., Caruso D., Locati L.D., Orlandi E., Bossi P., Mainardi L., Licitra L.F. |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Pre treatment
medicine.medical_specialty magnetic resonance imaging (MRI) recurrence Prognosi Disease outcome head and neck squamous cell carcinoma 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Retrospective Studie medicine Humans Radiology Nuclear Medicine and imaging predictive Retrospective Studies magnetic resonance imaging (mri) pretreatment prognostic radiomic medicine.diagnostic_test Head and Neck Neoplasm business.industry Squamous Cell Carcinoma of Head and Neck Magnetic resonance imaging Retrospective cohort study Hematology General Medicine Radiomic Magnetic Resonance Imaging Prognosis Head and Neck Neoplasms Neoplasm Recurrence Local medicine.disease Head and neck squamous-cell carcinoma stomatognathic diseases Neoplasm Recurrence Local Oncology 030220 oncology & carcinogenesis Radiology business Human |
| Popis: | Objectives: To identify and validate baseline magnetic resonance imaging (b-MRI) radiomic features (RFs) as predictors of disease outcomes in effectively cured head and neck squamous cell carcinoma (HNSCC) patients. Materials and methods: Training set (TS) and validation set (VS) were retrieved from preexisting datasets (HETeCo and BD2Decide trials, respectively). Only patients with both pre- and post-contrast enhancement T1 and T2-weighted b-MRI and at least 2years of follow-up (FUP) were selected. The combination of the best extracted RFs was used to classify low risk (LR) vs. high risk (HR) of disease recurrence. Sensitivity, specificity, and area under the curve (AUC) of the radiomic model were computed on both TS and VS. Overall survival (OS) and 5-year disease-free survival (DFS) Kaplan–Meier (KM) curves were compared for LR vs. HR. The radiomic-based risk class was used in a multivariate Cox model, including well-established clinical prognostic factors (TNM, sub-site, human papillomavirus [HPV]). Results: In total, 57 patients of TS and 137 of VS were included. Three RFs were selected for the signature. Sensitivity of recurrence risk classifier was 0.82 and 0.77, specificity 0.78 and 0.81, AUC 0.83 and 0.78 for TS and VS, respectively. VS KM curves for LR vs. HR groups significantly differed both for 5-year DFS (p |
| Databáze: | OpenAIRE |
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