Virtual non-contrast (VNC) imaging is a post-processing technique generated from contrast-
enhanced scans using dual-energy computed tomography (DECT). It is generated by …

Dual-energy CT (DECT) can be defined as the use of two different energy levels to identify
and quantify material composition. Since its inception, DECT has benefited from remarkable …

Objectives To evaluate the usefulness of deep learning image reconstruction (DLIR) to
improve the image quality of dual-energy computed tomography (DECT) of the abdomen …

Purpose To determine whether hepatic extracellular volume fraction (ECV) obtained from
iodine density map (ECV-iodine) can be used to estimate hepatic fibrosis grade and to …

Objectives Posthepatectomy liver failure (PHLF) is a severe complication of liver resection.
We aimed to develop and validate a model based on extracellular volume (ECV) and liver …

Purpose To elucidate the diagnostic ability of liver fibrosis using (1) liver parenchymal iodine
density on equilibrium computed tomographic imaging and (2) extracellular volume (ECV) …

Objectives This study aimed to develop and validate a nomogram based on extracellular
volume (ECV) derived from computed tomography (CT) for predicting post-hepatectomy liver …

Complete resection is the only potentially curative treatment for primary or metastatic liver
tumors. Improvements in surgical techniques such as conventional two-stage hepatectomy …

Objectives The current study evaluates the performance of dual-energy computed
tomography (DECT) derived extracellular volume (ECV) fraction based on dual-layer …

Hepatic dysfunction represents a wide spectrum of pathological changes, which can be
frequently found in hepatitis, cholestasis, metabolic diseases, and focal liver lesions. As …