Radiology

New research from ECR 2025 shows promise in using dynamic ultrasound to diagnose peroneal tendon instability.

The system, which analyses high-risk screening and diagnostic MRI scans, was tested on datasets from five hospital groups across different countries.

Recent advancements in MRI technology present a safer, radiation-free diagnostic option for infants and children with pulmonary and mediastinal diseases.

A new study has highlighted the potential benefits of breast ultrasound as a supplemental screening tool for women with dense breast tissue, who are at higher risk of breast cancer.

A groundbreaking study presented at ESR 2025 has unveiled sustainable diagnostic pathways for metastatic breast cancer, significantly reducing energy consumption and greenhouse gas emissions.

BT-RADS system improves surveillance of primary brain tumours, guiding treatment and offering high inter-rater reliability for clinicians.

Study presented at ECR 2025 has found that an artificial intelligence (AI)-based SuperResolution reconstruction method for lumbar spine MRI scans significantly reduces scan times.

A groundbreaking automated MRI segmentation model has been developed to provide accurate and robust segmentation of major anatomical structures across all MRI sequences.

Study reveals racial differences in access to breast-imaging services.

Contrast-enhanced conebeam breast CT imaging features can help identify lymphovascular invasion status in patients with breast cancer, according to recent research.

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.

Mayo Clinic partners with Microsoft and Cerebras to harness AI for faster, more precise diagnostics and personalised treatments.

PET/CT imaging with gallium-68 (Ga-68) pentixafor can effectively guide surgery for patients with primary aldosteronism, according to recent study.

Cannabis use Linked to reduced brain activity in memory tasks, recent studies using fMRI show.

Novel deep-learning model has shown promise in identifying and segmenting lung tumours according to new research.

Endovascular thrombectomy and best medical treatment are both effective and safe options for treating acute extracranial internal carotid artery occlusions.

POCUS has shown promise as a diagnostic tool for identifying RPOC in women, study finds.