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
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). We retrospectively identified 55 patients who underwent CCTA usin...
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Published in | Polish journal of radiology Vol. 84; pp. 522 - 529 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Poland
Termedia Publishing House
2019
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ISSN | 1899-0967 1733-134X 1899-0967 |
DOI | 10.5114/pjr.2019.91259 |
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Abstract | 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).
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.
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 (
< 0.001 and
= 0.007).
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. |
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AbstractList | 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).
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.
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 (
< 0.001 and
= 0.007).
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. 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).PURPOSETo 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).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.MATERIAL AND METHODSWe 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.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).RESULTSCCTA 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).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.CONCLUSIONSCCTA 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. |
Author | Benea, Giorgio Vizzuso, Antonio Zerbini, Michela Carnevale, Aldo Righi, Riccardo Giganti, Melchiore |
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Cites_doi | 10.1016/j.ejrad.2014.11.031 10.1016/j.jacc.2008.07.031 10.1093/eurheartj/ehr189 10.1038/s41598-018-37870-3 10.1161/CIRCIMAGING.118.007720 10.1177/0284185117716701 10.1016/j.jcct.2017.02.007 10.1186/s13256-018-1851-4 10.2214/AJR.14.13241 10.1161/CIRCIMAGING.117.006243 10.1007/s11547-018-0964-6 10.21037/cdt.2017.08.12 10.1016/j.ejrad.2016.12.012 10.1016/j.ejrad.2014.01.025 10.1016/j.jcct.2015.04.004 10.1093/eurheartj/eht296 10.1148/rg.2016160079 10.1161/CIRCULATIONAHA.108.191650 10.1016/S0140-6736(15)60291-4 10.1097/RCT.0000000000000005 10.1016/j.jcct.2016.10.002 10.1007/s00261-015-0504-y 10.2214/AJR.16.17187 10.1093/ehjci/jex008 10.1093/eurheartj/ehu053 10.1016/j.ejrad.2014.09.022 10.1007/s00330-017-5095-2 10.1007/s11547-012-0814-x 10.1118/1.4885958 10.1016/j.jcmg.2013.08.008 10.1056/NEJMoa0806576 10.1007/s00330-011-2164-9 10.1016/j.jacc.2008.08.058 10.1007/s10554-015-0740-9 10.1111/1754-9485.12473 10.1136/hrt.2006.098731 10.1016/j.acra.2016.07.005 10.4330/wjc.v5.i12.459 10.1155/2015/401357 10.2214/AJR.14.13760 |
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Keywords | coronary artery disease coronary CT angiography multidetector computed tomography |
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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 |
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