Buzzes

In patients with liver fibrosis or cirrhosis, contrast-enhanced dual-source dual-energy CT has shown to be a feasible method for the assessment of hepatic fractional extracellular space

The comparison between two different protocols in patients undergoing Wide-Detector CT angiography for simultaneous imaging of the aorta and coronary arteries showed that the volume following helical approach is associated with greater results

A retrospective study tried to identify main imaging criteria at MDCT for the indication to potential neoadjuvant chemotherapy for colon cancer, considering also diagnostic performance among multireaders

Pleural invasion in patients with peripheral lung cancer may be accurately evaluated in the pre-operative phase thanks to new 4D dynamic-ventilation CT

In patients undergoing minimal invasive aortic valve replacement (mini-AVR), baseline imaging findings at CT angiography have been compared to procedure complexity and time of intervention

In patients with suspected acute stroke, CT angiography with tube current reduction and an iterative reconstruction process may be a strategy enabling substantial lowering of the radiation dose

A new study from a German group compared image quality and radiation dose between second- and third-generation dual-source CT scanners, with single- and dual-energy acquisition, for CT pulmonary angiography

An ex-vivo study demonstrated that the application of Artificial Intelligence to radiomics improves the identification of advanced atherosclerotic lesions at coronary CT angiography

A new research from a German group compared image quality of different dual-energy CT techniques for the evaluation of head and neck cancer

A new meta-analysis evaluated the diagnostic accuracy of dual-energy CT with iodine quantification technique in the assessment of renal masses

Changes of post-contrast attenuation values on CT have a significant relationship with therapeutic response after sorafenib in patients with non-measurable infiltrative HCC

Artificial Intelligence helps clinicians in the detection of intracranial aneurysms on CT angiography examinations

Noninvasive fractional flow reserve parameter from coronary CT angiography is a predictor of long-term prognosis

A deep-learning algorithm can convert low-dose CT scans into high-quality images, which may be even superior to images processed with iterative reconstruction

In patients undergoing sternotomy, CT helps differentiating signs of infectious mediastinitis from normal post-operative changes beyond traditional clinical parameters

New potential professional opportunities thanks to an early proactive response of the radiology community to the surge of artificial intelligence

An analysis of the US Lung Cancer Screening Registry highlighted a suboptimal distribution of CT lung screening facilities

An innovative approach for 3D visualization of the brain using virtual and augmented reality

Deep learning-based image restoration algorithm has shown to reduce the image noise and to improve image quality in coronary CT angiography

CT angiography is the only non-invasive modality for carotid imaging showing an increased utilization rate over the past decade