Simple Summary Diagnosing cancer at an early stage increases the chance of performing
effective treatment in many tumour groups. Key approaches include screening patients who …

Artificial intelligence (AI) has been a very active research topic over the last years and
thoracic imaging has particularly benefited from the development of AI and in particular deep …

Importance There has been significant recent interest in understanding the utility of
quantitative imaging to delineate breast cancer intrinsic biological factors and therapeutic …

The tumor immune microenvironment (TIME) is associated with tumor prognosis and
immunotherapy response. Here we develop and validate a CT-based radiomics score (RS) …

No predictive biomarkers can robustly identify patients with non–small cell lung cancer
(NSCLC) who will benefit from immune checkpoint inhibitor (ICI) therapies. Here, in a …

Background Solid components of part-solid nodules (PSNs) at CT are reflective of invasive
adenocarcinoma, but studies describing radiomic features of PSNs and the perinodular …

Summary Background Biparametric MRI (comprising T2-weighted MRI and apparent
diffusion coefficient maps) is increasingly being used to characterise prostate cancer …

Introduction Lung cancer ranks second in new cancer cases and first in cancer-related
deaths worldwide. Precision medicine is working on altering treatment approaches and …

The extracellular pH of solid tumors is unequivocally acidic due to a combination of high
rates of lactic acid production (a consequence of fermentative glycolytic metabolism) and …

Background & Aims No reliable method for evaluating intestinal fibrosis in Crohn's disease
(CD) exists; therefore, we developed a computed-tomography enterography (CTE)–based …