Radiotherapy has long been the mainstay of treatment for patients with head and neck
cancer and has traditionally involved a stage-dependent strategy whereby all patients with …

Background Radiomics uses a large number of quantitative imaging features that describe
the tumor phenotype to develop imaging biomarkers for clinical outcomes. Radiomic …

Objective The aim of this study was to develop a radiomics signature for prediction of
progression-free survival (PFS) in lower-grade gliomas and to investigate the genetic …

The large number of indeterminate pulmonary nodules encountered incidentally or during
CT-based lung screening provides considerable diagnostic and management challenges …

Background. Oropharyngeal squamous cell carcinoma (OPSCC) is one of the fastest
growing disease sites of head and neck cancers. A recently described radiomic signature …

Radiographic imaging continues to be one of the most effective and clinically useful tools
within oncology. Sophistication of artificial intelligence has allowed for detailed …

Purpose Radiomic features derived from the texture analysis of different imaging modalities
e show promise in lesion characterisation, response prediction, and prognostication in lung …

Purpose This study aimed to predict local tumor control (LC) after radiochemotherapy of
head and neck squamous cell carcinoma (HNSCC) and human papillomavirus (HPV) status …

Objectives To identify the radiomics signature allowing preoperative discrimination of lung
invasive adenocarcinomas from non-invasive lesions manifesting as ground-glass nodules …

Purpose Radiomics provides quantitative tissue heterogeneity profiling and is an exciting
approach to developing imaging biomarkers in the context of precision medicine. Normal …