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A computational atlas of normal coronary artery anatomy
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2016 (English)In: EuroIntervention, ISSN 1774-024X, E-ISSN 1969-6213, Vol. 12, no 7, p. 845-854Article in journal (Refereed) Published
Abstract [en]

Aims: The aim of this study was to define the shape variations, including diameters and angles, of the major coronary artery bifurcations. Methods and results: Computed tomographic angiograms from 300 adults with a zero calcium score and no stenoses were segmented for centreline and luminal models. A computational atlas was constructed enabling automatic quantification of 3D angles, diameters and lengths of the coronary tree. The diameter (mean +/- SD) of the left main coronary was 3.5 +/- 0.8 mm and the length 10.5 +/- 5.3 mm. The left main bifurcation angle (distal angle or angle B) was 89 +/- 21 degrees for cases with, and 75 +/- 23 degrees for those without an intermediate artery (p<0.001). Analogous measurements of diameter and angle were tabulated for the other major bifurcations (left anterior descending/diagonal, circumflex/obtuse marginal and right coronary crux). Novel 3D angle definitions are proposed and analysed. Conclusions: A computational atlas of normal coronary artery anatomy provides distributions of diameter, lengths and bifurcation angles as well as more complex shape analysis. These data define normal anatomical variation, facilitating stent design, selection and optimal treatment strategy. These population models are necessary for accurate computational flow dynamics, can be 3D printed for bench testing bifurcation stents and deployment strategies, and can aid in the discussion of different approaches to the treatment of coronary bifurcations.

Place, publisher, year, edition, pages
EUROPA EDITION , 2016. Vol. 12, no 7, p. 845-854
Keywords [en]
bifurcation, coronary disease, multiclice computed tomography
National Category
Cardiac and Cardiovascular Systems
Identifiers
URN: urn:nbn:se:kth:diva-196430DOI: 10.4244/EIJV12I7A139ISI: 000385692900008PubMedID: 27639736Scopus ID: 2-s2.0-84990978735OAI: oai:DiVA.org:kth-196430DiVA, id: diva2:1050622
Note

QC 20161129

Available from: 2016-11-29 Created: 2016-11-14 Last updated: 2022-06-27Bibliographically approved

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Wang, ChunliangSmedby, Örjan

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Medical Image Processing and Visualization
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CiteExportLink to record
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Citation style
  • apa
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  • vancouver
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Language
  • de-DE
  • en-GB
  • en-US
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  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
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  • asciidoc
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