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Coronary plaque quantification and fractional flow reserve by coronary computed tomography angiography identify ischaemia-causing lesions
AIMS: Coronary plaque characteristics are associated with ischaemia. Differences in plaque volumes and composition may explain the discordance between coronary stenosis severity and ischaemia. We evaluated the association between coronary stenosis severity, plaque characteristics, coronary computed...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4830909/ https://www.ncbi.nlm.nih.gov/pubmed/26763790 http://dx.doi.org/10.1093/eurheartj/ehv690 |
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author | Gaur, Sara Øvrehus, Kristian Altern Dey, Damini Leipsic, Jonathon Bøtker, Hans Erik Jensen, Jesper Møller Narula, Jagat Ahmadi, Amir Achenbach, Stephan Ko, Brian S. Christiansen, Evald Høj Kaltoft, Anne Kjer Berman, Daniel S. Bezerra, Hiram Lassen, Jens Flensted Nørgaard, Bjarne Linde |
author_facet | Gaur, Sara Øvrehus, Kristian Altern Dey, Damini Leipsic, Jonathon Bøtker, Hans Erik Jensen, Jesper Møller Narula, Jagat Ahmadi, Amir Achenbach, Stephan Ko, Brian S. Christiansen, Evald Høj Kaltoft, Anne Kjer Berman, Daniel S. Bezerra, Hiram Lassen, Jens Flensted Nørgaard, Bjarne Linde |
author_sort | Gaur, Sara |
collection | PubMed |
description | AIMS: Coronary plaque characteristics are associated with ischaemia. Differences in plaque volumes and composition may explain the discordance between coronary stenosis severity and ischaemia. We evaluated the association between coronary stenosis severity, plaque characteristics, coronary computed tomography angiography (CTA)-derived fractional flow reserve (FFR(CT)), and lesion-specific ischaemia identified by FFR in a substudy of the NXT trial (Analysis of Coronary Blood Flow Using CT Angiography: Next Steps). METHODS AND RESULTS: Coronary CTA stenosis, plaque volumes, FFR(CT), and FFR were assessed in 484 vessels from 254 patients. Stenosis >50% was considered obstructive. Plaque volumes (non-calcified plaque [NCP], low-density NCP [LD-NCP], and calcified plaque [CP]) were quantified using semi-automated software. Optimal thresholds of quantitative plaque variables were defined by area under the receiver-operating characteristics curve (AUC) analysis. Ischaemia was defined by FFR or FFR(CT) ≤0.80. Plaque volumes were inversely related to FFR irrespective of stenosis severity. Relative risk (95% confidence interval) for prediction of ischaemia for stenosis >50%, NCP ≥185 mm(3), LD-NCP ≥30 mm(3), CP ≥9 mm(3), and FFR(CT) ≤0.80 were 5.0 (3.0–8.3), 3.7 (2.4–5.6), 4.6 (2.9–7.4), 1.4 (1.0–2.0), and 13.6 (8.4–21.9), respectively. Low-density NCP predicted ischaemia independent of other plaque characteristics. Low-density NCP and FFR(CT) yielded diagnostic improvement over stenosis assessment with AUCs increasing from 0.71 by stenosis >50% to 0.79 and 0.90 when adding LD-NCP ≥30 mm(3) and LD-NCP ≥30 mm(3) + FFR(CT) ≤0.80, respectively. CONCLUSION: Stenosis severity, plaque characteristics, and FFR(CT) predict lesion-specific ischaemia. Plaque assessment and FFR(CT) provide improved discrimination of ischaemia compared with stenosis assessment alone. |
format | Online Article Text |
id | pubmed-4830909 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-48309092016-04-19 Coronary plaque quantification and fractional flow reserve by coronary computed tomography angiography identify ischaemia-causing lesions Gaur, Sara Øvrehus, Kristian Altern Dey, Damini Leipsic, Jonathon Bøtker, Hans Erik Jensen, Jesper Møller Narula, Jagat Ahmadi, Amir Achenbach, Stephan Ko, Brian S. Christiansen, Evald Høj Kaltoft, Anne Kjer Berman, Daniel S. Bezerra, Hiram Lassen, Jens Flensted Nørgaard, Bjarne Linde Eur Heart J Clinical Research AIMS: Coronary plaque characteristics are associated with ischaemia. Differences in plaque volumes and composition may explain the discordance between coronary stenosis severity and ischaemia. We evaluated the association between coronary stenosis severity, plaque characteristics, coronary computed tomography angiography (CTA)-derived fractional flow reserve (FFR(CT)), and lesion-specific ischaemia identified by FFR in a substudy of the NXT trial (Analysis of Coronary Blood Flow Using CT Angiography: Next Steps). METHODS AND RESULTS: Coronary CTA stenosis, plaque volumes, FFR(CT), and FFR were assessed in 484 vessels from 254 patients. Stenosis >50% was considered obstructive. Plaque volumes (non-calcified plaque [NCP], low-density NCP [LD-NCP], and calcified plaque [CP]) were quantified using semi-automated software. Optimal thresholds of quantitative plaque variables were defined by area under the receiver-operating characteristics curve (AUC) analysis. Ischaemia was defined by FFR or FFR(CT) ≤0.80. Plaque volumes were inversely related to FFR irrespective of stenosis severity. Relative risk (95% confidence interval) for prediction of ischaemia for stenosis >50%, NCP ≥185 mm(3), LD-NCP ≥30 mm(3), CP ≥9 mm(3), and FFR(CT) ≤0.80 were 5.0 (3.0–8.3), 3.7 (2.4–5.6), 4.6 (2.9–7.4), 1.4 (1.0–2.0), and 13.6 (8.4–21.9), respectively. Low-density NCP predicted ischaemia independent of other plaque characteristics. Low-density NCP and FFR(CT) yielded diagnostic improvement over stenosis assessment with AUCs increasing from 0.71 by stenosis >50% to 0.79 and 0.90 when adding LD-NCP ≥30 mm(3) and LD-NCP ≥30 mm(3) + FFR(CT) ≤0.80, respectively. CONCLUSION: Stenosis severity, plaque characteristics, and FFR(CT) predict lesion-specific ischaemia. Plaque assessment and FFR(CT) provide improved discrimination of ischaemia compared with stenosis assessment alone. Oxford University Press 2016-04-14 2016-01-12 /pmc/articles/PMC4830909/ /pubmed/26763790 http://dx.doi.org/10.1093/eurheartj/ehv690 Text en © The Author 2016. Published by Oxford University Press on behalf of the European Society of Cardiology. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Clinical Research Gaur, Sara Øvrehus, Kristian Altern Dey, Damini Leipsic, Jonathon Bøtker, Hans Erik Jensen, Jesper Møller Narula, Jagat Ahmadi, Amir Achenbach, Stephan Ko, Brian S. Christiansen, Evald Høj Kaltoft, Anne Kjer Berman, Daniel S. Bezerra, Hiram Lassen, Jens Flensted Nørgaard, Bjarne Linde Coronary plaque quantification and fractional flow reserve by coronary computed tomography angiography identify ischaemia-causing lesions |
title | Coronary plaque quantification and fractional flow reserve by coronary
computed tomography angiography identify ischaemia-causing lesions |
title_full | Coronary plaque quantification and fractional flow reserve by coronary
computed tomography angiography identify ischaemia-causing lesions |
title_fullStr | Coronary plaque quantification and fractional flow reserve by coronary
computed tomography angiography identify ischaemia-causing lesions |
title_full_unstemmed | Coronary plaque quantification and fractional flow reserve by coronary
computed tomography angiography identify ischaemia-causing lesions |
title_short | Coronary plaque quantification and fractional flow reserve by coronary
computed tomography angiography identify ischaemia-causing lesions |
title_sort | coronary plaque quantification and fractional flow reserve by coronary
computed tomography angiography identify ischaemia-causing lesions |
topic | Clinical Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4830909/ https://www.ncbi.nlm.nih.gov/pubmed/26763790 http://dx.doi.org/10.1093/eurheartj/ehv690 |
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