Medical imaging can assess the tumor and its environment in their entirety, which makes it
suitable for monitoring the temporal and spatial characteristics of the tumor. Progress in …

Historically, medical imaging has been a qualitative or semi-quantitative modality. It is
difficult to quantify what can be seen in an image, and to turn it into valuable predictive …

Radiomics in nuclear medicine is rapidly expanding. Reproducibility of radiomics studies in
multicentre settings is an important criterion for clinical translation. We therefore performed a …

After seminal papers over the period 2009–2011, the use of texture analysis of PET/CT
images for quantification of intratumour uptake heterogeneity has received increasing …

Lung cancer is responsible for more fatalities than any other cancer worldwide, with 1.76
million associated deaths reported in 2018. The key issue in the fight against this disease is …

Chest X-ray is the most common radiology examinations for the diagnosis of thoracic
diseases. However, due to the complexity of pathological abnormalities and lack of detailed …

Radiomics is a rapidly developing field of research focused on the extraction of quantitative
features from medical images, thus converting these digital images into minable, high …

Radiomics characterizes tumor phenotypes by extracting large numbers of quantitative
features from radiological images. Radiomic features have been shown to provide …

Introduction Immunotherapy has improved outcomes for patients with non-small cell lung
cancer (NSCLC), yet durable clinical benefit (DCB) is experienced in only a fraction of …

The aim of this retrospective multicentric study was to develop and evaluate a prognostic
18F-FDG PET/CT radiomic signature in early-stage non–small cell lung cancer patients …