The treatment of cancer with proton radiation therapy was first suggested in 1946 followed
by the first treatments in the 1950s. As of 2020, almost 200 000 patients have been treated …

Ovarian cancer remains one of the most lethal gynecological cancers in the world despite
extensive progress in the areas of chemotherapy and surgery. Many studies have postulated …

These guidelines are a consensus work of a considerable number of members of the
immunology and flow cytometry community. They provide the theory and key practical …

Existing quantitative imaging biomarkers (QIBs) are associated with known biological tissue
characteristics and follow a well-understood path of technical, biological and clinical …

Purpose Radiomic features are promising quantitative parameters that can be extracted from
medical images and employed to build machine learning predictive models. However …

Background: The future of artificial intelligence (AI) heralds unprecedented change for the
field of radiation oncology. Commercial vendors and academic institutions have created AI …

Artificial intelligence (AI) has exceptional potential to positively impact the field of radiation
oncology. However, large curated datasets-often involving imaging data and corresponding …

Objectives Radiomics is the high-throughput extraction of mineable and—possibly—
reproducible quantitative imaging features from medical imaging. The aim of this work is to …

Background Currently, selection of patients for sequential versus concurrent chemotherapy
and radiation regimens lacks evidentiary support and it is based on locally optimal decisions …

Purpose To appraise the ability of a radiomics signature to predict clinical outcome after
definitive radiochemotherapy (RCT) of stage III–IV head and neck cancer. Methods A cohort …