A Prospectively Validated Prognostic Model for Patients with Locally Advanced Squamous Cell Carcinoma of the Head and Neck Based on Radiomics of Computed Tomography Images.
Simon A KeekFrederik W R WesselingHenry C WoodruffJanita E van TimmerenIrene H NautaThomas K HoffmannStefano CavalieriGiuseppina CalaresoSergey PrimakovRalph T H LeijenaarLisa LicitraMarco RavanelliKathrin ScheckenbachTito PoliDavide LanfrancoMarije R VergeerC René LeemansRuud H BrakenhoffFrank J P HoebersPhilippe LambinPublished in: Cancers (2021)
A combination of radiomics features with other predictors can predict OS very accurately for advanced HNSCC patients and improves on the current gold standard of TNM8.
Keyphrases
- squamous cell carcinoma
- locally advanced
- computed tomography
- lymph node metastasis
- end stage renal disease
- ejection fraction
- newly diagnosed
- chronic kidney disease
- contrast enhanced
- rectal cancer
- magnetic resonance imaging
- neoadjuvant chemotherapy
- deep learning
- peritoneal dialysis
- positron emission tomography
- radiation therapy
- prognostic factors
- convolutional neural network
- machine learning
- patient reported
- open label
- study protocol