Over the past two decades, the epidemiology of chronic liver disease has changed with an
increase in the prevalence of nonalcoholic fatty liver disease in parallel to the advent of …

Please see the Editorial Comment by Mohammed F. Mohammed discussing this article.
Dual-energy CT (DECT) overcomes several limitations of conventional single-energy CT …

Dual-energy CT enables the simultaneous acquisition of CT images at two different x-ray
energy spectra. By acquiring high-and low-energy spectral data, dual-energy CT can …

Pancreatic ductal adenocarcinoma (PDAC) represents a challenge for a multidisciplinary
oncology team. Diagnosis of PDAC remains challenging due to overlapping imaging …

Recently, medical radiology has undergone significant improvements in patient
management due to advancements in image acquisition by the last generation of machines …

OBJECTIVE. This study assessed a machine learning–based dual-energy CT (DECT) tumor
analysis prototype for semiautomatic segmentation and radiomic analysis of benign and …

Objectives To investigate the effect of deep learning image reconstruction (DLIR) on the
accuracy of iodine quantification and image quality of dual-energy CT (DECT) compared to …

The Canadian Association of Radiologists Incidental Findings Working Group consists of
both academic subspecialty and general radiologists and is tasked with adapting and …

The incidence and mortality of pancreatic ductal adenocarcinoma are growing over time.
The management of patients with pancreatic ductal adenocarcinoma involves a …

Rationale and Objectives To compare dual-energy CT virtual monoenergetic images (VMI)
and standard reconstructions for reliability of quantitative size measurements and diagnostic …