The application of radiogenomics in oncology has great prospects in precision medicine.
Radiogenomics combines large volumes of radiomic features from medical digital images …

Radiomics is a technique that extracts quantitative features from medical images using data‐
characterization algorithms. Radiomic features can be used to identify tissue characteristics …

Recently, the concept of radiomics has emerged from radiation oncology. It is a novel
approach for solving the issues of precision medicine and how it can be performed, based …

Objectives To evaluate the usefulness of a radiomics-based prediction model for predicting
response and survival outcomes of patients with metastatic urothelial carcinoma treated with …

Simple Summary Radiogenomics is a promising new approach in cancer assessment,
providing an evaluation of the molecular basis of imaging phenotypes after establishing …

Radiomics is an advanced image-processing framework, which extracts image features and
considers them as biomarkers towards personalized medicine. Applications include disease …

Radiomics has become a popular image analysis method in the last few years. Its key
hypothesis is that medical images harbor biological, prognostic and predictive information …

Objectives Qualitative and quantitative CT imaging features might intercept the multifaceted
tumor immune microenvironment (TIME), providing a non-invasive approach to design new …

Background The current management of lung cancer patients has reached a high level of
complexity. Indeed, besides the traditional clinical variables (eg, age, sex, TNM stage), new …

Objective To predict vascular endothelial growth factor (VEGF) expression in patients with
diffuse gliomas using radiomic analysis. Materials and methods Preoperative magnetic …