Radiology

Magnetic resonance neurography (MRN) adds value in complex neuropathy cases, particularly when nerve damage is difficult to localise or in cases with proximal nerve involvement.

Epicardial adipose tissue index on cardiac MRI may help identify high-risk HFpEF patients and predict heart failure readmission or death.

LV myocardial strain reference values from CT show sex-based differences in healthy adults, offering clinicians clearer guidance for interpreting cardiac imaging.

A mobile head CT system with integrated shielding reduced staff radiation exposure to minimal or undetectable levels in a neurointensive care study.

CEM demonstrates high accuracy in breast cancer imaging, aligning closely with MRI for tumour size and disease extent assessment.

5.0 T SWI improves brain imaging clarity compared with 3.0 T, enhancing visualisation of cerebral veins and deep grey matter structures in healthy adults.

Limited light exposure in radiology may drive burnout, disrupt sleep, and affect workforce sustainability.

AI fracture detection shows modest gains in identifying child abuse fractures in children under five, highlighting both potential and current limitations.

England delivered 50% fewer PET-CT scans than guidelines recommend in 2021, with gaps for prostate cancer, neuroendocrine tumours, and dementia.

AI-assisted chest X-rays are enhancing TB detection in LMICs, helping clinicians identify cases earlier where imaging access and expertise are limited.

New vessel wall MRI detects more supracardiac atherosclerosis plaques than CTA, improving stroke evaluation and identifying embolic sources.

Targeted MRI accurately assesses new bone pain in stable multiple myeloma, guiding management and reducing unnecessary whole-body scans.

Synthetic radiographs are often hard to distinguish from real X-rays, challenging radiologists and AI while offering training and research opportunities.

IVUS guidance reduces costs and rehospitalisations in lower limb venous stenting, with mixed effects for thrombectomy and thrombolysis procedures.

MULTIPLEX MRI may help identify glioma grade and molecular subtypes in a single scan, offering new insights into tumour biology.

Young adults with rare spinal AVMs show strong recovery after targeted endovascular treatment, guided by MRI and CT imaging of the lesions.

Discordant AI mammography results can sharply increase patient anxiety, reduce trust in radiologists, and raise second-opinion requests, but context eases concern.

Suspended lead suits dramatically reduced radiation exposure for interventional echocardiographers during left atrial appendage occlusion procedures.

Fetal cardiac imaging at 34–38 weeks identified newborns with transposition of the great arteries at high risk of severe hypoxia that would need urgent postnatal intervention.

Analysis of fibroid subtypes reveals unique ultrasound patterns and clinical profiles, helping differentiate usual-type from variant uterine fibroids.

AI tools may help detect vertebral fractures on CT scans, matching expert accuracy and improving osteoporosis care.

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.

AI-prefilled structured reporting improves diagnostic accuracy in chest radiograph reporting compared with free-text reporting, a 2026 prospective reader study has found.

MRI-based radiomics models may help predict tumour deposit burden in rectal cancer, with a fusion AI approach outperforming radiologists in preoperative risk assessment.

Computer-aided detection chest X-ray performed comparably to experienced radiologists for pulmonary tuberculosis diagnosis, supporting its potential role in low-resource, high-burden clinical settings.