Imaging science and development in modern high-precision radiotherapy

Assessing the generalisability of radiomics features previously identified as predictive of radiation-induced sticky saliva and xerostomia

“…Several investigative studies have shown how imaging characteristics from varying modalities predict clinical outcomes of interest [17] , [18] , [19] , [20] , [21] , [22] . A sub-set of these have demonstrated that radiomics features extracted from the salivary glands predict radiation-induced salivary dysfunction in patients with cancer in the head and neck region (HNC) [23] , [24] , [25] , [26] , [27] , [28] .…”

Predicting radiotherapy-induced xerostomia in head and neck cancer patients using day-to-day kinetics of radiomics features

“…The science of radiomics aims to find robust statistical relationships between imaging patterns and clinical outcomes [14] and is a promising approach for data-driven selection of patients for treatment adaptation. This is made possible by the wealth of images generated during the radiotherapy workflow [15] , [16] , [17] , [18] . Indeed, radiomics has already been used with a variety of imaging modalities to improve prediction of xerostomia.…”

Delivery of online adaptive magnetic resonance guided radiotherapy based on isodose boundaries

“…Recent technological developments in the field of radiation oncology led to the introduction of new hybrid systems, able to combine the delivery precision of a modern linear accelerator with the image quality of Magnetic Resonance (MR) imaging [1] , [2] , [3] . Besides enhanced positioning imaging quality, these systems allow to reduce inter-fraction treatment variability owing to a dedicated online adaptive workflow and to efficaciously manage intrafraction organ motion, required for real-time MR imaging and advanced gating strategies [4] , [5] .…”