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Validation of Prosthetic Mitral Regurgitation Quantification Using Novel Angiographic Platform by Mock Circulation
Authors:Hideyuki Kawashima  Patrick W Serruys  Rodrigo Modolo  Michele Pighi  Rutao Wang  Masafumi Ono  Jean-Paul Aben  Chun Chin Chang  Hadewych Van Hauwermeiren  Bill Brunnett  Martijn Cox  Liesbeth Rosseel  Darren Mylotte  Philippe Pibarot  Willem J Flameng  Yoshinobu Onuma  Osama Soliman
Institution:1. Department of Cardiology, National University of Ireland, Galway (NUIG) and CORRIB Corelab and Center for Research and Imaging, Galway, Ireland;2. Department of Cardiology, Academic Medical Centre, University of Amsterdam, Amsterdam, the Netherlands;3. Department of Cardiology, Imperial College of London, London, United Kingdom;4. Cardiology Division, Department of Internal Medicine, University of Campinas, Campinas, Brazil;5. Division of Cardiology, Department of Medicine, University of Verona, Verona, Italy;6. Department of Cardiology, Radboud University Medical Center, Nijmegen, Netherlands;7. Pie Medical Imaging, Maastricht, the Netherlands;8. Division of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan;9. Medanex Clinic B.V., Preclinical CRO, Diest, Belgium;10. Xeltis B.V., Eindhoven, the Netherlands;11. Institut Universitaire de Cardiologie et de Pneumologie de Québec/Québec Heart and Lung Institute, Université Laval, Québec City, Québec, Canada;12. Department of Cardiac Surgery, Katholieke Universiteit Leuven, Leuven, Belgium
Abstract:ObjectivesThis study aimed to validate a dedicated software for quantitative videodensitometric angiographic assessment of mitral regurgitation (QMR).BackgroundQuantitative videodensitometric aortography of aortic regurgitation using the time-density principle is a well-documented technique, but the angiographic assessment of mitral regurgitation (MR) remains at best semi-quantitative and operator dependent.MethodsFourteen sheep underwent surgical mitral valve replacement using 2 different prostheses. Pre-sacrifice left ventriculograms were used to assess MR fraction (MRF) using QMR and MR volume (MRV). In an independent core lab, the CAAS QMR 0.1 was used for QMR analysis. In vitro MRF and MRV were assessed in a mock circulation at a comparable cardiac output to the in vivo one by thermodilution. The correlations and agreements of in vitro and in vivo MRF, MRV, and interobserver reproducibility for QMR analysis were assessed using the averaged cardiac cycles (CCs).ResultsIn vivo derived MRF by QMR strongly correlated with in vitro derived MRF, regardless of the number of the CCs analyzed (best correlation: 3 CCs y = 0.446 + 0.994x; R = 0.784; p =0.002). The mean absolute difference between in vitro derived MRF and in vivo derived MRF from 3 CCs was 0.01 ± 4.2% on Bland-Altman analysis. In vitro MRV and in vivo MRV from 3 CCs were very strongly correlated (y = 0.196 + 1.255x; R = 0.839; p < 0.001). The mean absolute difference between in vitro MRV and in vivo MRV from 3 CCs was –1.4 ± 1.9 ml. There were very strong correlations of in vivo MRF between 2 independent analysts, regardless of the number of the CCs.ConclusionsIn vivo MRF using the novel software is feasible, accurate, and highly reproducible. These promising results have led us to initiate the first human feasibility study comprising patients undergoing percutaneous mitral valve edge-to-edge repair.
Keywords:angiography  in vitro  in vivo  mitral regurgitation  videodensitometry  AR"}  {"#name":"keyword"  "$":{"id":"kwrd0040"}  "$$":[{"#name":"text"  "_":"aortic regurgitation  AUC"}  {"#name":"keyword"  "$":{"id":"kwrd0050"}  "$$":[{"#name":"text"  "_":"area under the curve  CI"}  {"#name":"keyword"  "$":{"id":"kwrd0060"}  "$$":[{"#name":"text"  "_":"confidence interval  EDV"}  {"#name":"keyword"  "$":{"id":"kwrd0070"}  "$$":[{"#name":"text"  "_":"end-diastolic volume  ESV"}  {"#name":"keyword"  "$":{"id":"kwrd0080"}  "$$":[{"#name":"text"  "_":"end-systolic volume  ICC"}  {"#name":"keyword"  "$":{"id":"kwrd0090"}  "$$":[{"#name":"text"  "_":"intraclass correlation coefficient  IQR"}  {"#name":"keyword"  "$":{"id":"kwrd0100"}  "$$":[{"#name":"text"  "_":"interquartile range  LA"}  {"#name":"keyword"  "$":{"id":"kwrd0110"}  "$$":[{"#name":"text"  "_":"left atrium/atrial  LV"}  {"#name":"keyword"  "$":{"id":"kwrd0120"}  "$$":[{"#name":"text"  "_":"left ventricle/ventricular  LVOT"}  {"#name":"keyword"  "$":{"id":"kwrd0130"}  "$$":[{"#name":"text"  "_":"left ventricular outflow tract  MFFV"}  {"#name":"keyword"  "$":{"id":"kwrd0140"}  "$$":[{"#name":"text"  "_":"mitral forward flow volume  MR"}  {"#name":"keyword"  "$":{"id":"kwrd0150"}  "$$":[{"#name":"text"  "_":"mitral regurgitation  MRF"}  {"#name":"keyword"  "$":{"id":"kwrd0160"}  "$$":[{"#name":"text"  "_":"mitral regurgitation fraction  MRV"}  {"#name":"keyword"  "$":{"id":"kwrd0170"}  "$$":[{"#name":"text"  "_":"mitral regurgitation volume  QAR"}  {"#name":"keyword"  "$":{"id":"kwrd0180"}  "$$":[{"#name":"text"  "_":"quantitative videodensitometric angiographic assessment of aortic regurgitation  QMR"}  {"#name":"keyword"  "$":{"id":"kwrd0190"}  "$$":[{"#name":"text"  "_":"quantitative videodensitometric angiographic assessment of mitral regurgitation  RA"}  {"#name":"keyword"  "$":{"id":"kwrd0200"}  "$$":[{"#name":"text"  "_":"reference area  ROI"}  {"#name":"keyword"  "$":{"id":"kwrd0210"}  "$$":[{"#name":"text"  "_":"region of interest  SV"}  {"#name":"keyword"  "$":{"id":"kwrd0220"}  "$$":[{"#name":"text"  "_":"stroke volume
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