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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
multidetector computed tomography
coronary artery disease
coronary CT angiography
Bibliogr. s. e528-e529
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.abstract.en | 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. | pl |
| dc.contributor.author | Vizzuso, Antonio | pl |
| dc.contributor.author | Righi, Riccardo | pl |
| dc.contributor.author | Carnevale, Aldo | pl |
| dc.contributor.author | Zerbini, Michela | pl |
| dc.contributor.author | Benea, Giorgio | pl |
| dc.contributor.author | Giganti, Melchiore | pl |
| dc.date.accessioned | 2020-01-15T07:07:44Z | |
| dc.date.available | 2020-01-15T07:07:44Z | |
| dc.date.issued | 2019 | pl |
| dc.date.openaccess | 0 | |
| dc.description.accesstime | w momencie opublikowania | |
| dc.description.additional | Bibliogr. s. e528-e529 | pl |
| dc.description.physical | e522-e529 | pl |
| dc.description.version | ostateczna wersja wydawcy | |
| dc.description.volume | 84 | pl |
| dc.identifier.doi | 10.5114/pjr.2019.91259 | pl |
| dc.identifier.eissn | 1899-0967 | pl |
| dc.identifier.issn | 1733-134X | pl |
| dc.identifier.project | ROD UJ / OP | pl |
| dc.identifier.uri | https://ruj.uj.edu.pl/xmlui/handle/item/130736 | |
| dc.language | eng | pl |
| dc.language.container | eng | pl |
| 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.en | multidetector computed tomography | pl |
| dc.subject.en | coronary artery disease | pl |
| dc.subject.en | coronary CT angiography | pl |
| dc.subtype | Article | pl |
| dc.title | 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 | pl |
| dc.title.journal | Polish Journal of Radiology | pl |
| dc.type | JournalArticle | pl |
| dspace.entity.type | Publication |
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