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CT for evaluation of urolithiasis: image quality of ultralow-dose (Sub mSv) CT with knowledge-based iterative reconstruction and diagnostic performance of low-dose CT with statistical iterative reconstruction

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dc.contributor.authorHur, Joonho-
dc.contributor.authorPark, Sung Bin-
dc.contributor.authorLee, Jong Beum-
dc.contributor.authorPark, Hyun Jeong-
dc.contributor.authorChang, In Ho-
dc.contributor.authorKwon, Jong Kyou-
dc.contributor.authorKim, Yang Soo-
dc.date.available2019-03-08T16:39:03Z-
dc.date.issued2015-10-
dc.identifier.issn0942-8925-
dc.identifier.issn1432-0509-
dc.identifier.urihttps://scholarworks.bwise.kr/cau/handle/2019.sw.cau/9034-
dc.description.abstractTo compare radiation dose and image quality in regular, low, and ultralow-dose CT protocols, and to evaluate diagnostic performance of low-dose CT for urolithiasis. Sixty-five patients with suspected urolithiasis underwent three different scans under the regular, low, and ultralow-dose protocols. The regular dose scans were reconstructed using filtered back projection and the low-dose scans were reconstructed using a statistical iterative reconstruction. The ultralow-dose scans were reconstructed using both techniques in addition to a knowledge-based IR. Effective radiation doses were compared. Objective image noise was assessed by measuring standard deviation of HU and subjective image assessment was performed with a 3- or 5-point scale. Diagnostic performance of the low-dose image was evaluated, using the regular dose image as a standard reference and the interobserver agreement between two reviewers with different levels of experience was calculated. The effective radiation dose was significantly different in each protocol (p < 0.001) and estimated dose reduction of the low-dose and ultralow-dose protocols was 76.4% and 89.8%, respectively. The knowledge-based iterative reconstruction algorithm showed poorer subjective image quality than the regular and low-dose protocols, but it also had the least objective image noise. Overall, the low-dose image set showed a greater than 84% concordance rate and 100% in ureter stones larger than 3 mm. Interobserver agreement was substantial (kappa value = 0.61). The knowledge-based IR can provide a better quality image while reducing radiation exposure under the same protocol. Furthermore, the diagnostic performance of the low-dose CT protocol is comparable to the regular dose scan.-
dc.format.extent9-
dc.language영어-
dc.language.isoENG-
dc.publisherSPRINGER-
dc.titleCT for evaluation of urolithiasis: image quality of ultralow-dose (Sub mSv) CT with knowledge-based iterative reconstruction and diagnostic performance of low-dose CT with statistical iterative reconstruction-
dc.typeArticle-
dc.identifier.doi10.1007/s00261-015-0411-2-
dc.identifier.bibliographicCitationABDOMINAL IMAGING, v.40, no.7, pp 2432 - 2440-
dc.description.isOpenAccessN-
dc.identifier.wosid000361835700037-
dc.identifier.scopusid2-s2.0-84942504657-
dc.citation.endPage2440-
dc.citation.number7-
dc.citation.startPage2432-
dc.citation.titleABDOMINAL IMAGING-
dc.citation.volume40-
dc.type.docTypeArticle-
dc.publisher.location미국-
dc.subject.keywordAuthorKnowledge-based iterative reconstruction-
dc.subject.keywordAuthorModel-based iterative reconstruction-
dc.subject.keywordAuthorStatistical iterative reconstruction-
dc.subject.keywordAuthorFiltered back projection-
dc.subject.keywordAuthorUrolithiasis-
dc.subject.keywordAuthorLow-dose computed tomography-
dc.subject.keywordAuthorRadiation dosage-
dc.subject.keywordPlusFILTERED BACK-PROJECTION-
dc.subject.keywordPlusACUTE FLANK PAIN-
dc.subject.keywordPlusURETERAL CALCULI-
dc.subject.keywordPlusABDOMINAL CT-
dc.subject.keywordPlusREDUCTION-
dc.subject.keywordPlusTOMOGRAPHY-
dc.subject.keywordPlusPREVALENCE-
dc.subject.keywordPlusSTRATEGIES-
dc.subject.keywordPlusCATALOG-
dc.relation.journalResearchAreaGastroenterology & Hepatology-
dc.relation.journalResearchAreaRadiology, Nuclear Medicine & Medical Imaging-
dc.relation.journalWebOfScienceCategoryGastroenterology & Hepatology-
dc.relation.journalWebOfScienceCategoryRadiology, Nuclear Medicine & Medical Imaging-
dc.description.journalRegisteredClasssci-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
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