Radiology

The proportion of CT scans performed in patients aged 60–90 has risen over 10 years at a hospital, highlighting concerns about repeated radiation exposure.

Fetoscopic repair of spina bifida reduces brain edema and hindbrain bulging, but postoperative aqueductal obstruction remains a risk, study shows.

A multi-centre study shows AI-assisted CT can reduce reading time and improve consistency in tumour measurements during cancer follow-up imaging.

The PARADIGM study will test whether artificial intelligence can match radiologists in detecting clinically significant prostate cancer on MRI across an international cohort.

ECR 2026 data show that structured reporting systems help improve radiation safety in healthcare X ray practices across Finland.

Half-dose gadopiclenol boosts breast MRI contrast while reducing gadolinium exposure, offering equivalent or better imaging than full-dose gadobutrol.

Age and smoking status influence CT-based body composition in lung cancer screening, with muscle loss and fat gain increasing with age in a large NELSON cohort analysis.

New imaging research links glucose dysregulation with progression of cerebral small vessel disease, suggesting metabolic biomarkers may help identify patients at risk of worsening brain damage.

New deep learning model combining X-ray and MRI data shows promise in increasing efficiency of cervical spondylosis diagnosis.

An estimated 72% to 94% of cases were overdiagnosed in the USA between 1991 and 2019, according to a 2026 study.

Women experience unique changes in brain structure after a second pregnancy, MRIs revealed in a 2026 cohort study.

Integrated PET and MRI scans can distinguish a new type of dementia, LATE, from Alzheimer’s, a 2026 observational study has found.

Fused Deposition Modelling 3D printing has become a practical, accessible, and cost-effective tool in surgical settings, a 2026 systematic review has found.

AI can predict postoperative breast cancer recurrence using preoperative mammograms, a 2026 study has found.

A new AI model was able to read and diagnose brain MRI scans in seconds, researchers at the University of Michigan have found.

Mammographic surveillance and adjunct imaging techniques can lower morality and enhance early detection among breast cancer survivors.