Radiomics Breakthrough Could Spark the Head and Neck Cancer Radiotherapy Revolution

Radiomics, the method by which digital images could be transformed into mineable data, opens new horizons for biomedical research and in particular oncology, diagnostic, predictive prognostic purposes. The use of artificial intelligence (AI) algorithms radiomics algorithm makes AI two inseparable, intricate domains. defined as machine capability imitating human intelligence, has already been implemented on a large scale oncology radiotherapy. One main branches (the virtual one) learning depending application, is involved both diagnostics processes well treatment planning, – dose delivery radiotherapy quality assurance (QA). Head neck cancer (HNC), although it 6th malignancy incidence worldwide, redoubtable due to high rate therapeutic failures, especially loco-regional recurrence. Although intensity-modulated techniques have brought benefits limiting toxicities associated with irradiation, radiomics, possibility extract data from high-resolution medical imaging order build diagnostic models, upgrade technological revolution HNC at higher level. Beyond intensively studied applications, useful predicting response radio-chemotherapy, anticipating related pre-therapeutic evaluation need adaptive (ART). Clinical-radiomic models superior power delta variation radiomic features biomarker still less evaluated. Due characteristics modern includes standard image guided (IGRT) concept using computer tomography (CT) simulator Cone Beam CT (CBCT) ensure accuracy patient’s positioning during treatment, spearhead translation daily clinical routine RGRT development.