Aim To evaluate image quality and diagnostic accuracy of different dual-energy computed tomography (DECT) datasets for identification of hepatocellular carcinoma (HCC), assess the reliability of virtual unenhanced (VU) images in replacing standard unenhanced (SU) images, and quantify effective dose (ED) at different tube voltages. Material and methods Thirty cirrhotic patients underwent liver contrast-enhanced DECT. Two blinded observers retrospectively evaluated conventional unenhanced and VU images, 140 kVp/80 kVp/mixed tube potential arterial datasets and conventional portal-venous/late phases in consensus. Final diagnosis was based on pathological proof or imaging criteria. Image quality, ED, sensitivity, and specificity of arterial dat...
International audienceObjectives: To evaluate the reliability of attenuation values of the liver par...
Background Dual-energy computed tomography (DECT) has conceptually been known since the late 1970s a...
Purpose: To investigate the diagnostic performance of noise-optimized virtual monoenergetic images (...
none11noAim To evaluate image quality and diagnostic accuracy of different dual-energy computed tomo...
Purpose: To retrospectively evaluate image quality and diagnostic accuracy of dual-energy CT (DECT) ...
OBJECTIVE: To compare image quality and noise of conventional unenhanced (CU) and virtual unenhanced...
Purpose: The aim of this prospective study was to examine the diagnostic value of dual-energy CT (DE...
Objectives To compare image quality and diagnostic accuracy for the detection of liver lesions of vi...
Purpose The purpose was to assess image quality of portal-venous phase dual-energy computed tomograp...
Purposes: We aimed to analyze the image quality, CT number, artifacts, radiation dose reduction, and...
Objective: To investigate dual-energy spectral CT in characterization of hepatocellular Carcinoma (H...
Objectives The aims of our study were to assess the comparability of conventional unenhanced images ...
Purpose : We aimed to evaluate the differences between true unenhanced (TUE) and virtual unenhanced ...
Purpose: To assess the influence of different dual-energy CT (DECT) scanner techniques on the severi...
Purpose. The aim of this work was to compare the quality and noise of true nonenhanced (TNE) and vir...
International audienceObjectives: To evaluate the reliability of attenuation values of the liver par...
Background Dual-energy computed tomography (DECT) has conceptually been known since the late 1970s a...
Purpose: To investigate the diagnostic performance of noise-optimized virtual monoenergetic images (...
none11noAim To evaluate image quality and diagnostic accuracy of different dual-energy computed tomo...
Purpose: To retrospectively evaluate image quality and diagnostic accuracy of dual-energy CT (DECT) ...
OBJECTIVE: To compare image quality and noise of conventional unenhanced (CU) and virtual unenhanced...
Purpose: The aim of this prospective study was to examine the diagnostic value of dual-energy CT (DE...
Objectives To compare image quality and diagnostic accuracy for the detection of liver lesions of vi...
Purpose The purpose was to assess image quality of portal-venous phase dual-energy computed tomograp...
Purposes: We aimed to analyze the image quality, CT number, artifacts, radiation dose reduction, and...
Objective: To investigate dual-energy spectral CT in characterization of hepatocellular Carcinoma (H...
Objectives The aims of our study were to assess the comparability of conventional unenhanced images ...
Purpose : We aimed to evaluate the differences between true unenhanced (TUE) and virtual unenhanced ...
Purpose: To assess the influence of different dual-energy CT (DECT) scanner techniques on the severi...
Purpose. The aim of this work was to compare the quality and noise of true nonenhanced (TNE) and vir...
International audienceObjectives: To evaluate the reliability of attenuation values of the liver par...
Background Dual-energy computed tomography (DECT) has conceptually been known since the late 1970s a...
Purpose: To investigate the diagnostic performance of noise-optimized virtual monoenergetic images (...