dc.contributor.author | Kageyama, S | en_US |
dc.contributor.author | Tufaro, V | en_US |
dc.contributor.author | Torii, R | en_US |
dc.contributor.author | Karamasis, GV | en_US |
dc.contributor.author | Rakhit, RD | en_US |
dc.contributor.author | Poon, EKW | en_US |
dc.contributor.author | Aben, J-P | en_US |
dc.contributor.author | Baumbach, A | en_US |
dc.contributor.author | Serruys, PW | en_US |
dc.contributor.author | Onuma, Y | en_US |
dc.contributor.author | Bourantas, CV | en_US |
dc.date.accessioned | 2023-06-19T13:54:43Z | |
dc.date.available | 2023-05-10 | en_US |
dc.date.issued | 2023-08 | en_US |
dc.identifier.uri | https://qmro.qmul.ac.uk/xmlui/handle/123456789/89032 | |
dc.description.abstract | Wall shear stress (WSS) estimated in models reconstructed from intravascular imaging and 3-dimensional-quantitative coronary angiography (3D-QCA) data provides important prognostic information and enables identification of high-risk lesions. However, these analyses are time-consuming and require expertise, limiting WSS adoption in clinical practice. Recently, a novel software has been developed for real-time computation of time-averaged WSS (TAWSS) and multidirectional WSS distribution. This study aims to examine its inter-corelab reproducibility. Sixty lesions (20 coronary bifurcations) with a borderline negative fractional flow reserve were processed using the CAAS Workstation WSS prototype to estimate WSS and multi-directional WSS values. Analysis was performed by two corelabs and their estimations for the WSS in 3 mm segments across each reconstructed vessel was extracted and compared. In total 700 segments (256 located in bifurcated vessels) were included in the analysis. A high intra-class correlation was noted for all the 3D-QCA and TAWSS metrics between the estimations of the two corelabs irrespective of the presence (range: 0.90-0.92) or absence (range: 0.89-0.90) of a coronary bifurcation, while the ICC was good-moderate for the multidirectional WSS (range: 0.72-0.86). Lesion level analysis demonstrated a high agreement of the two corelabls for detecting lesions exposed to an unfavourable haemodynamic environment (WSS > 8.24 Pa, κ = 0.77) that had a high-risk morphology (area stenosis > 61.3%, κ = 0.71) and were prone to progress and cause events. The CAAS Workstation WSS enables reproducible 3D-QCA reconstruction and computation of WSS metrics. Further research is needed to explore its value in detecting high-risk lesions. | en_US |
dc.format.extent | 1581 - 1592 | en_US |
dc.language | eng | en_US |
dc.relation.ispartof | Int J Cardiovasc Imaging | en_US |
dc.rights | Attribution 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/us/ | * |
dc.subject | Computational fluid dynamics | en_US |
dc.subject | Quantitative coronary angiography | en_US |
dc.subject | Reproducibility | en_US |
dc.subject | Wall shear stress | en_US |
dc.subject | Humans | en_US |
dc.subject | Coronary Angiography | en_US |
dc.subject | Coronary Artery Disease | en_US |
dc.subject | Fractional Flow Reserve, Myocardial | en_US |
dc.subject | Reproducibility of Results | en_US |
dc.subject | Laboratories | en_US |
dc.subject | Coronary Vessels | en_US |
dc.subject | Predictive Value of Tests | en_US |
dc.subject | Stress, Mechanical | en_US |
dc.subject | Imaging, Three-Dimensional | en_US |
dc.title | Agreement of wall shear stress distribution between two core laboratories using three-dimensional quantitative coronary angiography. | en_US |
dc.type | Article | |
dc.identifier.doi | 10.1007/s10554-023-02872-4 | en_US |
pubs.author-url | https://www.ncbi.nlm.nih.gov/pubmed/37243956 | en_US |
pubs.issue | 8 | en_US |
pubs.notes | Not known | en_US |
pubs.publication-status | Published | en_US |
pubs.volume | 39 | en_US |
dcterms.dateAccepted | 2023-05-10 | en_US |