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Njoku, Paul, Grafton-Clarke, Ciaran 
ORCID: https://orcid.org/0000-0002-8537-0806, Assadi, Hosamadin ORCID: https://orcid.org/0000-0002-6143-8095, Gosling, Rebecca C., Archer, Gareth T., Swift, Andrew J., Morris, Paul, Albaraikan, Abdulaziz, Williams, Gareth, Westenberg, Jos J. M., Aben, Jean-Paul, Ledoux, Leon, Alabed, Samer, Flather, Marcus, Cameron, Donnie ORCID: https://orcid.org/0000-0001-9841-6909, Broncano Cabrero, Jordi, Del Val, Javier Royuela, Nair, Sunil, Ryding, Alisdair, Sawh, Chris, Swoboda, Peter P., Levelt, Eylem, Chowdhary, Amrit, Vassiliou, Vassilios ORCID: https://orcid.org/0000-0002-4005-7752, Zhong, Liang and Garg, Pankaj ORCID: https://orcid.org/0000-0002-5483-169X
(2022)
Validation of time-resolved, automated peak trans-mitral velocity tracking: Two center four-dimensional flow cardiovascular magnetic resonance study.
International Journal of Cardiology, 364.
pp. 148-156.
ISSN 1874-1754
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Abstract
Objective: We aim to validate four-dimensional flow cardiovascular magnetic resonance (4D flow CMR) peak velocity tracking methods for measuring the peak velocity of mitral inflow against Doppler echocardiography. Method: Fifty patients were recruited who had 4D flow CMR and Doppler Echocardiography. After transvalvular flow segmentation using established valve tracking methods, peak velocity was automatically derived using three-dimensional streamlines of transvalvular flow. In addition, a static planar method was used at the tip of mitral valve to mimic Doppler technique. Results: Peak E-wave mitral inflow velocity was comparable between TTE and the novel 4D flow automated dynamic method (1.02±0.41 m/s vs 1.02±0.36 m/s; P=0.77) however there was a statistically significant difference when compared with the static planar method (0.93±0.37 m/s; P=0.04). Mean A-wave peak velocity was also comparable across TTE and the automated dynamic streamline (0.87±0.39 m/s vs 0.87±0.36 m/s; P=0.99). A significant difference was seen with the static planar method (0.78±0.36 m/s; P=0.04). E/A ratio was comparable between TTE and both the automated dynamic and static planar method (1.22±0.52 vs 1.20±0.34; p=0.76 and 1.36±0.81; p=0.25 respectively). Both novel 4D flow methods showed good correlation with TTE for E-wave (dynamic method; r=0.70; P<0.001 and static planar method; r=0.67; P<0.001) and A-wave velocity measurements (dynamic method; r=0.83; P<0.001 and static method; r=0.71; P<0.001). The automated dynamic method demonstrated excellent intra/inter-observer reproducibility for all parameters. Conclusion: Automated dynamic peak velocity tracing method using 4D flow CMR is comparable to Doppler echocardiography for mitral inflow assessment and has excellent reproducibility for clinical use.
| Item Type: | Article |
|---|---|
| Additional Information: | Funding Information: PG, AJS and EL are funded by Wellcome Trust Clinical Research Career Development Fellowships (220703/Z/20/Z, 205188/Z/16/Z & 221690/Z/20/Z). AC is funded by BHF Clinical Research Training Fellowship (FS/CRTF/20/24003). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Rights retention statement: For the purpose of Open Access, these authors have applied a CC BY public copyright license to any Author Accepted Manuscript version arising from this submission. |
| Uncontrolled Keywords: | 4d flow cmr,mitral valve,peak velocity quantification,validation,cardiology and cardiovascular medicine ,/dk/atira/pure/subjectarea/asjc/2700/2705 |
| Faculty \ School: | Faculty of Medicine and Health Sciences > Norwich Medical School |
| UEA Research Groups: | Faculty of Medicine and Health Sciences > Research Groups > Public Health and Health Services Research (former - to 2023) Faculty of Medicine and Health Sciences > Research Groups > Norwich Clinical Trials Unit Faculty of Medicine and Health Sciences > Research Groups > Cardiovascular and Metabolic Health Faculty of Science > Research Groups > Norwich Epidemiology Centre Faculty of Medicine and Health Sciences > Research Groups > Norwich Epidemiology Centre Faculty of Medicine and Health Sciences > Research Centres > Population Health Faculty of Medicine and Health Sciences > Research Centres > Metabolic Health |
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| Depositing User: | LivePure Connector |
| Date Deposited: | 20 Jun 2022 11:30 |
| Last Modified: | 12 Dec 2024 01:49 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/85700 |
| DOI: | 10.1016/j.ijcard.2022.06.032 |
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