Breath-hold diffusion-weighted MR imaging (DWI) using deep learning reconstruction: Comparison with navigator triggered DWI in patients with malignant liver tumors.

Introduction: This study investigated the feasibility of single breath-hold (BH) diffusion-weighted MR imaging (DWI) using deep learning reconstruction (DLR) compared to navigator triggered (NT) DWI in patients with malignant liver tumors.

Methods: This study included 91 patients who underwent both BH-DWI and NT-DWI with 3T MR system. Abdominal MR images were subjectively analyzed to compare visualization of liver edges, presence of ghosting artifacts, conspicuity of malignant liver tumors, and overall image quality.

High-precision MRI of liver and hepatic lesions on gadoxetic acid-enhanced hepatobiliary phase using a deep learning technique.

Purpose: The purpose of this study was to investigate whether the high-precision magnetic resonance (MR) sequence using modified Fast 3D mode wheel and Precise IQ Engine (PIQE), that was collected in a wheel shape with sequential data filling in the k-space in the phase encode-slice encode plane, is feasible for breath-hold (BH) three-dimensional (3D) T1-weighted imaging of the hepatobiliary phase (HBP) of gadoxetic acid-enhanced MRI in comparison to the compressed sensing (CS) sequence using Advanced Intelligent Clear-IQ Engine (AiCE).

Methods: This retrospective study included 54 patients with focal hepatic lesions who underwent dynamic contrast-enhanced MRI. Both standard HBP images using CS with AiCE and high-precision HBP images using modified Fast 3D mode wheel and PIQE were obtained.

Longitudinal changes in renal volumes evaluated by automated three-dimensional volumetric computed tomography of the whole kidney: The association with the renal function and disease progression.

Purpose: To clarify the changes in the total renal volume over time with changes of the renal function using automated 3D volumetric CT of the whole kidney and to evaluate the usefulness of the total renal volume CT measurement in predicting chronic kidney disease (CKD) grade progression.

Methods: A total of 961 patients who underwent abdominal CT at least twice (an interval of more than 4 years) were included. The automated 3D volumetric CT measurement of the whole kidney was performed at the initial and latest CT examination.

Aggregation of bovine platelets by Fusobacterium necrophorum.

Washed cell suspensions of biovar A strains of Fusobacterium necrophorum aggregated cattle platelets, but similar suspensions of biovar B strains did not. Platelets were also aggregated by heat-treated bacterial cells or the lipopolysaccharide of biovar A. No platelet aggregation occurred in the presence of the cell-free culture supernatant of biovar A and of all samples prepared from biovar B.

Adherence of Fusobacterium necrophorum biovar A and B strains to erythrocytes and tissue culture cells.

Fusobacterium necrophorum biovar A and biovar B were examined for haemagglutinability and ability to adhere to cells. Six biovar A strains agglutinated tannic-acid-treated chicken erythrocytes (1/32-1/64), as well as untreated chicken erythrocytes (1/16-1/64). They adhered well to MDBK and FL cells.