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Coronary Computed Tomographic Angiography at 80 kVp and Knowledge-Based Iterative Model Reconstruction Is Non-Inferior to that at 100 kVp with Iterative Reconstruction

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dc.contributor.author김태훈-
dc.contributor.author박철환-
dc.contributor.author오치석-
dc.contributor.author이주희-
dc.date.accessioned2017-10-26T07:48:07Z-
dc.date.available2017-10-26T07:48:07Z-
dc.date.issued2016-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/152525-
dc.description.abstractThe aims of this study were to compare the image noise and quality of coronary computed tomographic angiography (CCTA) at 80 kVp with knowledge-based iterative model reconstruction (IMR) to those of CCTA at 100 kVp with hybrid iterative reconstruction (IR), and to evaluate the feasibility of a low-dose radiation protocol with IMR. Thirty subjects who underwent prospective electrocardiogram-gating CCTA at 80 kVp, 150 mAs, and IMR (Group A), and 30 subjects with 100 kVp, 150 mAs, and hybrid IR (Group B) were retrospectively enrolled after sample-size calculation. A BMI of less than 25 kg/m2 was required for inclusion. The attenuation value and image noise of CCTA were measured and the signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were calculated at the proximal right coronary artery and left main coronary artery. The image noise was analyzed using a non-inferiority test. The CCTA images were qualitatively evaluated using a four-point scale. The radiation dose was significantly lower in Group A than Group B (0.69 ± 0.08 mSv vs. 1.39 ± 0.15 mSv, p < 0.001). The attenuation values were higher in Group A than Group B (p < 0.001). The SNR and CNR in Group A were higher than those of Group B. The image noise of Group A was non-inferior to that of Group B. Qualitative image quality of Group A was better than that of Group B (3.6 vs. 3.4, p = 0.017). CCTA at 80 kVp with IMR could reduce the radiation dose by about 50%, with non-inferior image noise and image quality than those of CCTA at 100 kVp with hybrid IR.-
dc.description.statementOfResponsibilityopen-
dc.formatapplication/octet-stream-
dc.languageEnglish-
dc.publisherPublic Library of Science-
dc.relation.isPartOfPLOS ONE-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.titleCoronary Computed Tomographic Angiography at 80 kVp and Knowledge-Based Iterative Model Reconstruction Is Non-Inferior to that at 100 kVp with Iterative Reconstruction-
dc.typeArticle-
dc.publisher.locationUnited States-
dc.contributor.collegeCollege of Medicine-
dc.contributor.departmentDept. of Radiology-
dc.contributor.googleauthorJoohee Lee-
dc.contributor.googleauthorChul Hwan Park-
dc.contributor.googleauthorChi Suk Oh-
dc.contributor.googleauthorKyunghwa Han-
dc.contributor.googleauthorTae Hoon Kim-
dc.identifier.doi10.1371/journal.pone.0163410-
dc.contributor.localIdA01722-
dc.contributor.localIdA04978-
dc.contributor.localIdA01086-
dc.relation.journalcodeJ02540-
dc.identifier.eissn1932-6203-
dc.identifier.pmid27658197-
dc.contributor.alternativeNameKim, Tae Hoon-
dc.contributor.alternativeNamePark, Chul Hwan-
dc.contributor.alternativeNameOh, Chi Suk-
dc.contributor.affiliatedAuthorPark, Chul Hwan-
dc.contributor.affiliatedAuthorOh, Chi Suk-
dc.contributor.affiliatedAuthorKim, Tae Hoon-
dc.citation.volume11-
dc.citation.number9-
dc.citation.startPagee0163410-
dc.identifier.bibliographicCitationPLOS ONE, Vol.11(9) : e0163410, 2016-
dc.date.modified2017-10-24-
dc.identifier.rimsid48728-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers

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