Publications by authors named "Kengo Nakato"

Aims: To investigate CT-derived extracellular volume fraction (CT-ECV) in patients with lone aortic stenosis (AS), dual pathology of AS and transthyretin cardiac amyloidosis (AS-ATTR), and lone ATTR, and to examine the diagnostic performance and optimal cutoff values of CT-ECV for differentiating between patients with lone AS and AS-ATTR, and between patients with lone AS and lone ATTR.

Methods And Results: This retrospective study included consecutive patients with severe AS (including lone AS and AS-ATTR) and lone ATTR who underwent CT-ECV analysis and technetium 99m pyrophosphate (99mTc-PYP) scintigraphy. The diagnostic performance of CT-ECV for detecting cardiac amyloidosis was evaluated using the area under the receiver operating characteristic curve (AUC).

View Article and Find Full Text PDF
Article Synopsis
  • This study investigated how different radiation doses and focal spot sizes affect the image quality of various cardiac CT reconstruction algorithms, particularly focusing on super-resolution deep-learning reconstruction (SR-DLR).
  • It used a specialized phantom and evaluated images for noise properties, spatial resolution, and overall quality across multiple reconstruction methods including iterative reconstruction and normal-resolution DLR.
  • Results showed that SR-DLR provided the best image quality with the lowest noise and highest spatial resolution at a radiation dose of 4.3 mGy, suggesting it enables better diagnostic capabilities while reducing radiation exposure.
View Article and Find Full Text PDF

Objectives: To evaluate the image quality of deep learning-based reconstruction (DLR), model-based (MBIR), and hybrid iterative reconstruction (HIR) algorithms for lower-dose (LD) unenhanced head CT and compare it with those of standard-dose (STD) HIR images.

Methods: This retrospective study included 114 patients who underwent unenhanced head CT using the STD (n = 57) or LD (n = 57) protocol on a 320-row CT. STD images were reconstructed with HIR; LD images were reconstructed with HIR (LD-HIR), MBIR (LD-MBIR), and DLR (LD-DLR).

View Article and Find Full Text PDF

Purpose: CT is considered the non-invasive gold standard for evaluating cardiac implantable electronic devices (CIEDs) lead perforation, but metal artifacts caused by the lead tip affect the image quality and make a definitive diagnosis challenging. We compared the performances of the metal artifact reduction (MAR) algorithm and the conventional algorithm for identification of the right ventricular (RV) lead tip position in cardiac CT studies of patients with CIEDs.

Method: Forty-seven consecutive patients (26 men; age 70.

View Article and Find Full Text PDF

Our purpose in this study was to evaluate the performance of four-dimensional computed tomography (4D-CBCT) and to optimize the acquisition parameters. We evaluated the relationship between the acquisition parameters of 4D-CBCT and the accuracy of the target motion trajectory using a dynamic thorax phantom. The target motion was created three dimensionally using target sizes of 2 and 3 cm, respiratory cycles of 4 and 8 s, and amplitudes of 1 and 2 cm.

View Article and Find Full Text PDF

The purpose of our study was to measure the reduction rate of radiation dose and variability of image noise using the angular beam modulation (ABM) on computed tomography (CT) fluoroscopy. The Alderson-Rando phantom and the homemade phantom were used in our study. These phantoms were scanned at on-center and off-center positions at -12 cm along y-axis with and without ABM technique.

View Article and Find Full Text PDF

Contrast-enhanced magnetic resonance angiography (CE-MRA) is frequently performed in body and extremity studies because of its superior ability to detect the vascular stenosis. However, nephrotoxicity of the contrast medium has been emphasized in recent years. Non-contrast MRA using the three-dimensional electrocardiogram-synchronized fast spin echo method (FBI, NATIVE and TRANCE) is recommended as a substitute for CE-MRA.

View Article and Find Full Text PDF