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CT coronary angiography: impact of adapted statistical iterative reconstruction (ASIR) on coronary stenosis and plaque composition analysis.
Int J Cardiovasc Imaging. 2013 Mar; 29(3):719-24.IJ

Abstract

To assess the impact of adaptive statistical iterative reconstruction (ASIR) on coronary plaque volume and composition analysis as well as on stenosis quantification in high definition coronary computed tomography angiography (CCTA). We included 50 plaques in 29 consecutive patients who were referred for the assessment of known or suspected coronary artery disease (CAD) with contrast-enhanced CCTA on a 64-slice high definition CT scanner (Discovery HD 750, GE Healthcare). CCTA scans were reconstructed with standard filtered back projection (FBP) with no ASIR (0 %) or with increasing contributions of ASIR, i.e. 20, 40, 60, 80 and 100 % (no FBP). Plaque analysis (volume, components and stenosis degree) was performed using a previously validated automated software. Mean values for minimal diameter and minimal area as well as degree of stenosis did not change significantly using different ASIR reconstructions. There was virtually no impact of reconstruction algorithms on mean plaque volume or plaque composition (e.g. soft, intermediate and calcified component). However, with increasing ASIR contribution, the percentage of plaque volume component between 401 and 500 HU decreased significantly (p < 0.05). Modern image reconstruction algorithms such as ASIR, which has been developed for noise reduction in latest high resolution CCTA scans, can be used reliably without interfering with the plaque analysis and stenosis severity assessment.

Authors+Show Affiliations

Department of Radiology, Cardiac Imaging, University Hospital Zurich, Ramistrasse 100, NUK C 42, 8091 Zurich, Switzerland.No affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

23053859

Citation

Fuchs, Tobias A., et al. "CT Coronary Angiography: Impact of Adapted Statistical Iterative Reconstruction (ASIR) On Coronary Stenosis and Plaque Composition Analysis." The International Journal of Cardiovascular Imaging, vol. 29, no. 3, 2013, pp. 719-24.
Fuchs TA, Fiechter M, Gebhard C, et al. CT coronary angiography: impact of adapted statistical iterative reconstruction (ASIR) on coronary stenosis and plaque composition analysis. Int J Cardiovasc Imaging. 2013;29(3):719-24.
Fuchs, T. A., Fiechter, M., Gebhard, C., Stehli, J., Ghadri, J. R., Kazakauskaite, E., Herzog, B. A., Husmann, L., Gaemperli, O., & Kaufmann, P. A. (2013). CT coronary angiography: impact of adapted statistical iterative reconstruction (ASIR) on coronary stenosis and plaque composition analysis. The International Journal of Cardiovascular Imaging, 29(3), 719-24. https://doi.org/10.1007/s10554-012-0134-1
Fuchs TA, et al. CT Coronary Angiography: Impact of Adapted Statistical Iterative Reconstruction (ASIR) On Coronary Stenosis and Plaque Composition Analysis. Int J Cardiovasc Imaging. 2013;29(3):719-24. PubMed PMID: 23053859.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - CT coronary angiography: impact of adapted statistical iterative reconstruction (ASIR) on coronary stenosis and plaque composition analysis. AU - Fuchs,Tobias A, AU - Fiechter,Michael, AU - Gebhard,Cathérine, AU - Stehli,Julia, AU - Ghadri,Jelena R, AU - Kazakauskaite,Egle, AU - Herzog,Bernhard A, AU - Husmann,Lars, AU - Gaemperli,Oliver, AU - Kaufmann,Philipp A, Y1 - 2012/10/02/ PY - 2012/06/27/received PY - 2012/09/24/accepted PY - 2012/10/12/entrez PY - 2012/10/12/pubmed PY - 2013/9/17/medline SP - 719 EP - 24 JF - The international journal of cardiovascular imaging JO - Int J Cardiovasc Imaging VL - 29 IS - 3 N2 - To assess the impact of adaptive statistical iterative reconstruction (ASIR) on coronary plaque volume and composition analysis as well as on stenosis quantification in high definition coronary computed tomography angiography (CCTA). We included 50 plaques in 29 consecutive patients who were referred for the assessment of known or suspected coronary artery disease (CAD) with contrast-enhanced CCTA on a 64-slice high definition CT scanner (Discovery HD 750, GE Healthcare). CCTA scans were reconstructed with standard filtered back projection (FBP) with no ASIR (0 %) or with increasing contributions of ASIR, i.e. 20, 40, 60, 80 and 100 % (no FBP). Plaque analysis (volume, components and stenosis degree) was performed using a previously validated automated software. Mean values for minimal diameter and minimal area as well as degree of stenosis did not change significantly using different ASIR reconstructions. There was virtually no impact of reconstruction algorithms on mean plaque volume or plaque composition (e.g. soft, intermediate and calcified component). However, with increasing ASIR contribution, the percentage of plaque volume component between 401 and 500 HU decreased significantly (p < 0.05). Modern image reconstruction algorithms such as ASIR, which has been developed for noise reduction in latest high resolution CCTA scans, can be used reliably without interfering with the plaque analysis and stenosis severity assessment. SN - 1875-8312 UR - https://www.unboundmedicine.com/medline/citation/23053859/CT_coronary_angiography:_impact_of_adapted_statistical_iterative_reconstruction__ASIR__on_coronary_stenosis_and_plaque_composition_analysis_ L2 - https://doi.org/10.1007/s10554-012-0134-1 DB - PRIME DP - Unbound Medicine ER -