Low-tube-voltage whole-body CT angiography with extremely low iodine dose: a comparison between hybrid-iterative reconstruction and deep-learning image-reconstruction algorithms.

Autor: Kawai N; Department of Radiology, Gifu University, 1-1 Yanagido, Gifu 501-1194, Japan., Noda Y; Department of Radiology, Gifu University, 1-1 Yanagido, Gifu 501-1194, Japan. Electronic address: noda.yoshifumi.g9@f.gifu-u.ac.jp., Nakamura F; Department of Radiology, Gifu Municipal Hospital, 7-1 Kashima, Gifu 500-8513, Japan., Kaga T; Department of Radiology, Gifu University, 1-1 Yanagido, Gifu 501-1194, Japan., Suzuki R; Department of Radiology Services, Gifu University Hospital, 1-1 Yanagido, Gifu 501-1194, Japan., Miyoshi T; Department of Radiology Services, Gifu University Hospital, 1-1 Yanagido, Gifu 501-1194, Japan., Mori F; Department of Radiology, Gifu University, 1-1 Yanagido, Gifu 501-1194, Japan., Hyodo F; Department of Pharmacology, Graduate School of Medicine, Gifu University, 1-1 Yanagido, Gifu 501-1194, Japan; Center for One Medicine Innovative Translational Research (COMIT), Institute for Advanced Study, Gifu University, Japan., Kato H; Department of Radiology, Gifu University, 1-1 Yanagido, Gifu 501-1194, Japan., Matsuo M; Department of Radiology, Gifu University, 1-1 Yanagido, Gifu 501-1194, Japan.
Jazyk: angličtina
Zdroj: Clinical radiology [Clin Radiol] 2024 Jun; Vol. 79 (6), pp. e791-e798. Date of Electronic Publication: 2024 Feb 15.
DOI: 10.1016/j.crad.2024.02.002
Abstrakt: Aim: To evaluate arterial enhancement, its depiction, and image quality in low-tube potential whole-body computed tomography (CT) angiography (CTA) with extremely low iodine dose and compare the results with those obtained by hybrid-iterative reconstruction (IR) and deep-learning image-reconstruction (DLIR) methods.
Materials and Methods: This prospective study included 34 consecutive participants (27 men; mean age, 74.2 years) who underwent whole-body CTA at 80 kVp for evaluating aortic diseases between January and July 2020. Contrast material (240 mg iodine/ml) with simultaneous administration of its quarter volume of saline, which corresponded to 192 mg iodine/ml, was administered. CT raw data were reconstructed using adaptive statistical IR-Veo of 40% (hybrid-IR), DLIR with medium- (DLIR-M), and high-strength level (DLIR-H). A radiologist measured CT attenuation of the arteries and background noise, and the signal-to-noise ratio (SNR) was then calculated. Two reviewers qualitatively evaluated the arterial depictions and diagnostic acceptability on axial, multiplanar-reformatted (MPR), and volume-rendered (VR) images.
Results: Mean contrast material volume and iodine weight administered were 64.1 ml and 15.4 g, respectively. The SNRs of the arteries were significantly higher in the following order of the DLIR-H, DLIR-M, and hybrid-IR (p<0.001). Depictions of six arteries on axial, three arteries on MPR, and four arteries on VR images were significantly superior in the DLIR-M or hybrid-IR than in the DLIR-H (p≤0.009 for each). Diagnostic acceptability was significantly better in the DLIR-M and DLIR-H than in the hybrid-IR (p<0.001-0.005).
Conclusion: DLIR-M showed well-balanced arterial depictions and image quality compared with the hybrid-IR and DLIR-H.
(Copyright © 2024 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.)
Databáze: MEDLINE
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