Computertomographie bei Patienten mit stabiler Angina Pectoris: Messung der fraktionellen Flussreserve = Computed tomography in patients with chronic stable angina : fractional flow reserve measurement
Coronary computed tomography angiography (cCTA) has been established for the non-invasive diagnosis of coronary artery disease (CAD). Previous studies demonstrated the high diagnostic accuracy of cCTA, particularly for ruling out CAD. As a known limitation of cCTA a large number of visually signific...
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| Main Authors: | , , , , , |
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| Format: | Article (Journal) |
| Language: | German English |
| Published: |
2017
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| In: |
Herz
Year: 2017, Volume: 42, Issue: 1, Pages: 51-57 |
| ISSN: | 1615-6692 |
| DOI: | 10.1007/s00059-016-4433-5 |
| Online Access: | Verlag, Volltext: http://dx.doi.org/10.1007/s00059-016-4433-5 Verlag, Volltext: https://link.springer.com/article/10.1007/s00059-016-4433-5 
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| Author Notes: | M. Renker, U.J. Schoepf, T. Becher, N. Krampulz, W. Kim, A. Rolf, H. Möllmann, C.W. Hamm, T. Henzler, M. Borggrefe, I. Akin, S. Baumann |
| Summary: | Coronary computed tomography angiography (cCTA) has been established for the non-invasive diagnosis of coronary artery disease (CAD). Previous studies demonstrated the high diagnostic accuracy of cCTA, particularly for ruling out CAD. As a known limitation of cCTA a large number of visually significant coronary stenoses are found to be hemodynamically not relevant by invasive fractional flow reserve (FFR). CT-based FFR (CT-FFR) builds on recent advances in computational fluid dynamics and image simulation techniques. Along with CT myocardial perfusion imaging, CT-FFR is a promising approach towards a more accurate estimation of the hemodynamic relevance of coronary artery stenoses. CT-FFR is derived from regular CT datasets without additional image acquisitions, contrast material, or medication. Two CT-FFR techniques can be differentiated. The initial method requires external use of supercomputers and has gained approval for clinical use in the USA. Furthermore, a prototype-software has been introduced which is less computationally demanding via integration of reduced-order models for on-site calculation of CT-FFR. The present article reviews these methods in the context of available study results and meta-analyses. Furthermore, limitations and future concepts of CT-FFR are discussed. |
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| Item Description: | First Online: 02 June 2016 Gesehen am 22.05.2018 |
| Physical Description: | Online Resource |
| ISSN: | 1615-6692 |
| DOI: | 10.1007/s00059-016-4433-5 |