Coronary computed tomography angiography using model-based iterative reconstruction algorithms in the detection of significant coronary stenosis : how the plaque type influences the diagnostic performance

2019
journal article
article
1
dc.abstract.enPurpose: To evaluate the ability of coronary computed tomography angiography (CCTA) with model-based iterative reconstruction (MBIR) algorithm in detecting significant coronary artery stenosis compared with invasive coronary angiography (ICA). Material and methods: We retrospectively identified 55 patients who underwent CCTA using the MBIR algorithm with evidence of at least one significant stenosis (≥ 50%) and an ICA within three months. Patients were stratified based on calcium score; stenoses were classified by type and by coronary segment involved. Dose-length-product was compared with the literature data obtained with previous reconstruction algorithms. Coronary artery stenosis was estimated on ICAs based on a qualitative method. Results: CCTA data were confirmed by ICA in 89% of subjects, and in 73% and 94% of patients with CS < 400 and ≥ 400, respectively. ICA confirmed 81% of calcific stenoses, 91% of mixed, and 67% of soft plaques. Both the dose exposure of patients with prospective acquisition (34) and the exposure of the whole population were significantly lower than the standard of reference (p < 0.001 and p = 0.007). Conclusions: CCTA with MBIR is valuable in detecting significant coronary artery stenosis with a solid reduction of radiation dose. Diagnostic performance was influenced by plaque composition, being lower compared with ICA for patients with lower CAC score and soft plaques; the visualisation of an intraluminal hypodensity could cause false positives, particularly in D1 and MO segments.pl
dc.contributor.authorVizzuso, Antoniopl
dc.contributor.authorRighi, Riccardopl
dc.contributor.authorCarnevale, Aldopl
dc.contributor.authorZerbini, Michelapl
dc.contributor.authorBenea, Giorgiopl
dc.contributor.authorGiganti, Melchiorepl
dc.date.accessioned2020-01-15T07:07:44Z
dc.date.available2020-01-15T07:07:44Z
dc.date.issued2019pl
dc.date.openaccess0
dc.description.accesstimew momencie opublikowania
dc.description.additionalBibliogr. s. e528-e529pl
dc.description.physicale522-e529pl
dc.description.versionostateczna wersja wydawcy
dc.description.volume84pl
dc.identifier.doi10.5114/pjr.2019.91259pl
dc.identifier.eissn1899-0967pl
dc.identifier.issn1733-134Xpl
dc.identifier.projectROD UJ / OPpl
dc.identifier.urihttps://ruj.uj.edu.pl/xmlui/handle/item/130736
dc.languageengpl
dc.language.containerengpl
dc.rightsUdzielam licencji. Uznanie autorstwa - Użycie niekomercyjne - Bez utworów zależnych 4.0 Międzynarodowa*
dc.rights.licenceCC-BY-NC-ND
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.pl*
dc.share.typeotwarte czasopismo
dc.source.integratorfalse
dc.subject.enmultidetector computed tomographypl
dc.subject.encoronary artery diseasepl
dc.subject.encoronary CT angiographypl
dc.subtypeArticlepl
dc.titleCoronary computed tomography angiography using model-based iterative reconstruction algorithms in the detection of significant coronary stenosis : how the plaque type influences the diagnostic performancepl
dc.title.journalPolish Journal of Radiologypl
dc.typeJournalArticlepl
dspace.entity.typePublication
dc.abstract.enpl
Purpose: To evaluate the ability of coronary computed tomography angiography (CCTA) with model-based iterative reconstruction (MBIR) algorithm in detecting significant coronary artery stenosis compared with invasive coronary angiography (ICA). Material and methods: We retrospectively identified 55 patients who underwent CCTA using the MBIR algorithm with evidence of at least one significant stenosis (≥ 50%) and an ICA within three months. Patients were stratified based on calcium score; stenoses were classified by type and by coronary segment involved. Dose-length-product was compared with the literature data obtained with previous reconstruction algorithms. Coronary artery stenosis was estimated on ICAs based on a qualitative method. Results: CCTA data were confirmed by ICA in 89% of subjects, and in 73% and 94% of patients with CS < 400 and ≥ 400, respectively. ICA confirmed 81% of calcific stenoses, 91% of mixed, and 67% of soft plaques. Both the dose exposure of patients with prospective acquisition (34) and the exposure of the whole population were significantly lower than the standard of reference (p < 0.001 and p = 0.007). Conclusions: CCTA with MBIR is valuable in detecting significant coronary artery stenosis with a solid reduction of radiation dose. Diagnostic performance was influenced by plaque composition, being lower compared with ICA for patients with lower CAC score and soft plaques; the visualisation of an intraluminal hypodensity could cause false positives, particularly in D1 and MO segments.
dc.contributor.authorpl
Vizzuso, Antonio
dc.contributor.authorpl
Righi, Riccardo
dc.contributor.authorpl
Carnevale, Aldo
dc.contributor.authorpl
Zerbini, Michela
dc.contributor.authorpl
Benea, Giorgio
dc.contributor.authorpl
Giganti, Melchiore
dc.date.accessioned
2020-01-15T07:07:44Z
dc.date.available
2020-01-15T07:07:44Z
dc.date.issuedpl
2019
dc.date.openaccess
0
dc.description.accesstime
w momencie opublikowania
dc.description.additionalpl
Bibliogr. s. e528-e529
dc.description.physicalpl
e522-e529
dc.description.version
ostateczna wersja wydawcy
dc.description.volumepl
84
dc.identifier.doipl
10.5114/pjr.2019.91259
dc.identifier.eissnpl
1899-0967
dc.identifier.issnpl
1733-134X
dc.identifier.projectpl
ROD UJ / OP
dc.identifier.uri
https://ruj.uj.edu.pl/xmlui/handle/item/130736
dc.languagepl
eng
dc.language.containerpl
eng
dc.rights*
Udzielam licencji. Uznanie autorstwa - Użycie niekomercyjne - Bez utworów zależnych 4.0 Międzynarodowa
dc.rights.licence
CC-BY-NC-ND
dc.rights.uri*
http://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.pl
dc.share.type
otwarte czasopismo
dc.source.integrator
false
dc.subject.enpl
multidetector computed tomography
dc.subject.enpl
coronary artery disease
dc.subject.enpl
coronary CT angiography
dc.subtypepl
Article
dc.titlepl
Coronary computed tomography angiography using model-based iterative reconstruction algorithms in the detection of significant coronary stenosis : how the plaque type influences the diagnostic performance
dc.title.journalpl
Polish Journal of Radiology
dc.typepl
JournalArticle
dspace.entity.type
Publication
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