Radiology

Study shows combined endobronchial ultrasound and endoscopic ultrasound (CUS) is a highly reliable tool for ruling out N2 disease in patients with PET-negative lung cancer.

Preoperative myosteatosis markers linked to worse survival in early-stage lung cancer patients, improving risk stratification.

Hormonal factors significantly influence the degree of background parenchymal enhancement (BPE) in CEM, study finds.

A new study demonstrates how artificial intelligence (AI) can improve the diagnosis of renal masses using pre-operative CT scans. The AI models developed outperformed experienced radiologists in distinguishing benign from malignant tumors and predicting cancer aggressiveness, paving the way for more precise kidney cancer treatment.

AI proves useful in enhancing breast cancer screening for high-risk women.

Sonographic imaging descriptors combined with histopathological diagnoses can improve the accuracy of assessing benign breast lesions, research shows.

Study finds that ultrafast MRI-based radiomics model performs just as well as standard MRI in classifying breast cancer subtypes.

AI shown to boost breast cancer detection in mammography screening in new study.