Cited 4 times in
Deep learning reconstruction allows for usage of contrast agent of lower concentration for coronary CTA than filtered back projection and hybrid iterative reconstruction
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 심학준 | - |
dc.date.accessioned | 2024-03-27T00:50:56Z | - |
dc.date.available | 2024-03-27T00:50:56Z | - |
dc.date.issued | 2023-03 | - |
dc.identifier.issn | 0284-1851 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/198748 | - |
dc.description.abstract | Background: The demand for homogeneous and higher vascular contrast enhancement is critical to provide an appropriate interpretation of abnormal vascular findings in coronary computed tomography angiography (CTA). Purpose: To evaluate the effect of various contrast media concentrations (Iohexol-370, Iohexol-300, Iohexol-240) and image reconstructions (filtered back projection [FBP], hybrid iterative reconstruction [IR], and deep learning reconstruction [DLR]) on coronary CTA. Material and methods: A total of 63 patients referred for coronary CTA between July and October 2021 were enrolled in this prospective study, and they randomly received one of three contrast media. CTA images were reconstructed with FBP, hybrid IR, and DLR. The CT attenuation, image noise, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) were calculated for all three images. The images were subjectively evaluated by two radiologists in terms of overall image quality, artifacts, image noise, and vessel wall delineation on a 5-point Likert scale. Results: The application of DLR resulted in significantly lower image noise; higher CT attenuation, SNR, and CNR; and better subjective analysis among the three different concentrations of contrast media groups (P < 0.001). There was no significant difference in the CT attenuation of the left ventricle (P = 0.089) and coronary arteries (P = 0.072) between hybrid IR at Iohexol-300 and DLR at Iohexol-240. Furthermore, application of DLR to the Iohexol-240 significantly improved SNR and CNR; it achieved higher subjective scores compared with hybrid IR at Iohexol-300 (P < 0.001). Conclusion: We suggest that using DLR with Iohexol-240 contrast media is preferable to hybrid IR with Iohexol-300 contrast media in coronary CTA. | - |
dc.description.statementOfResponsibility | restriction | - |
dc.language | English | - |
dc.publisher | Sage | - |
dc.relation.isPartOf | ACTA RADIOLOGICA | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.subject.MESH | Algorithms | - |
dc.subject.MESH | Computed Tomography Angiography* / methods | - |
dc.subject.MESH | Contrast Media | - |
dc.subject.MESH | Coronary Angiography / methods | - |
dc.subject.MESH | Coronary Vessels | - |
dc.subject.MESH | Deep Learning* | - |
dc.subject.MESH | Humans | - |
dc.subject.MESH | Iohexol | - |
dc.subject.MESH | Prospective Studies | - |
dc.subject.MESH | Radiation Dosage | - |
dc.subject.MESH | Radiographic Image Interpretation, Computer-Assisted / methods | - |
dc.subject.MESH | Tomography, X-Ray Computed / methods | - |
dc.title | Deep learning reconstruction allows for usage of contrast agent of lower concentration for coronary CTA than filtered back projection and hybrid iterative reconstruction | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Yonsei Biomedical Research Center (연세의생명연구원) | - |
dc.contributor.googleauthor | Chuluunbaatar Otgonbaatar | - |
dc.contributor.googleauthor | Jae-Kyun Ryu | - |
dc.contributor.googleauthor | Jaemin Shin | - |
dc.contributor.googleauthor | Han Myun Kim | - |
dc.contributor.googleauthor | Jung Wook Seo | - |
dc.contributor.googleauthor | Hackjoon Shim | - |
dc.contributor.googleauthor | Dae Hyun Hwang | - |
dc.identifier.doi | 10.1177/02841851221118476 | - |
dc.contributor.localId | A02215 | - |
dc.relation.journalcode | J00033 | - |
dc.identifier.eissn | 1600-0455 | - |
dc.identifier.pmid | 35979586 | - |
dc.identifier.url | https://journals.sagepub.com/doi/10.1177/02841851221118476 | - |
dc.subject.keyword | Contrast media | - |
dc.subject.keyword | coronary | - |
dc.subject.keyword | image quality | - |
dc.subject.keyword | image reconstruction | - |
dc.subject.keyword | multidetector computed tomography | - |
dc.contributor.alternativeName | Shim, Hack Joon | - |
dc.contributor.affiliatedAuthor | 심학준 | - |
dc.citation.volume | 64 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 1007 | - |
dc.citation.endPage | 1017 | - |
dc.identifier.bibliographicCitation | ACTA RADIOLOGICA, Vol.64(3) : 1007-1017, 2023-03 | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.