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Detection and Prediction of Bioprosthetic Aortic Valve Degeneration
BACKGROUND: Bioprosthetic aortic valve degeneration is increasingly common, often unheralded, and can have catastrophic consequences. OBJECTIVES: The authors sought to assess whether (18)F-fluoride positron emission tomography (PET)-computed tomography (CT) can detect bioprosthetic aortic valve dege...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Biomedical
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6424589/ https://www.ncbi.nlm.nih.gov/pubmed/30871693 http://dx.doi.org/10.1016/j.jacc.2018.12.056 |
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author | Cartlidge, Timothy R.G. Doris, Mhairi K. Sellers, Stephanie L. Pawade, Tania A. White, Audrey C. Pessotto, Renzo Kwiecinski, Jacek Fletcher, Alison Alcaide, Carlos Lucatelli, Christophe Densem, Cameron Rudd, James H.F. van Beek, Edwin J.R. Tavares, Adriana Virmani, Renu Berman, Daniel Leipsic, Jonathon A. Newby, David E. Dweck, Marc R. |
author_facet | Cartlidge, Timothy R.G. Doris, Mhairi K. Sellers, Stephanie L. Pawade, Tania A. White, Audrey C. Pessotto, Renzo Kwiecinski, Jacek Fletcher, Alison Alcaide, Carlos Lucatelli, Christophe Densem, Cameron Rudd, James H.F. van Beek, Edwin J.R. Tavares, Adriana Virmani, Renu Berman, Daniel Leipsic, Jonathon A. Newby, David E. Dweck, Marc R. |
author_sort | Cartlidge, Timothy R.G. |
collection | PubMed |
description | BACKGROUND: Bioprosthetic aortic valve degeneration is increasingly common, often unheralded, and can have catastrophic consequences. OBJECTIVES: The authors sought to assess whether (18)F-fluoride positron emission tomography (PET)-computed tomography (CT) can detect bioprosthetic aortic valve degeneration and predict valve dysfunction. METHODS: Explanted degenerate bioprosthetic valves were examined ex vivo. Patients with bioprosthetic aortic valves were recruited into 2 cohorts with and without prosthetic valve dysfunction and underwent in vivo contrast-enhanced CT angiography, (18)F-fluoride PET, and serial echocardiography during 2 years of follow-up. RESULTS: All ex vivo, degenerate bioprosthetic valves displayed (18)F-fluoride PET uptake that colocalized with tissue degeneration on histology. In 71 patients without known bioprosthesis dysfunction, 14 had abnormal leaflet pathology on CT, and 24 demonstrated (18)F-fluoride PET uptake (target-to-background ratio 1.55 [interquartile range (IQR): 1.44 to 1.88]). Patients with increased (18)F-fluoride uptake exhibited more rapid deterioration in valve function compared with those without (annualized change in peak transvalvular velocity 0.30 [IQR: 0.13 to 0.61] vs. 0.01 [IQR: −0.05 to 0.16] ms(−1)/year; p < 0.001). Indeed (18)F-fluoride uptake correlated with deterioration in all the conventional echocardiographic measures of valve function assessed (e.g., change in peak velocity, r = 0.72; p < 0.001). Each of the 10 patients who developed new overt bioprosthesis dysfunction during follow-up had evidence of (18)F-fluoride uptake at baseline (target-to-background ratio 1.89 [IQR: 1.46 to 2.59]). On multivariable analysis, (18)F-fluoride uptake was the only independent predictor of future bioprosthetic dysfunction. CONCLUSIONS: (18)F-fluoride PET-CT identifies subclinical bioprosthetic valve degeneration, providing powerful prediction of subsequent valvular dysfunction and highlighting patients at risk of valve failure. This technique holds major promise in the diagnosis of valvular degeneration and the surveillance of patients with bioprosthetic valves. (18F-Fluoride Assessment of Aortic Bioprosthesis Durability and Outcome [18F-FAABULOUS]; NCT02304276) |
format | Online Article Text |
id | pubmed-6424589 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier Biomedical |
record_format | MEDLINE/PubMed |
spelling | pubmed-64245892019-04-01 Detection and Prediction of Bioprosthetic Aortic Valve Degeneration Cartlidge, Timothy R.G. Doris, Mhairi K. Sellers, Stephanie L. Pawade, Tania A. White, Audrey C. Pessotto, Renzo Kwiecinski, Jacek Fletcher, Alison Alcaide, Carlos Lucatelli, Christophe Densem, Cameron Rudd, James H.F. van Beek, Edwin J.R. Tavares, Adriana Virmani, Renu Berman, Daniel Leipsic, Jonathon A. Newby, David E. Dweck, Marc R. J Am Coll Cardiol Article BACKGROUND: Bioprosthetic aortic valve degeneration is increasingly common, often unheralded, and can have catastrophic consequences. OBJECTIVES: The authors sought to assess whether (18)F-fluoride positron emission tomography (PET)-computed tomography (CT) can detect bioprosthetic aortic valve degeneration and predict valve dysfunction. METHODS: Explanted degenerate bioprosthetic valves were examined ex vivo. Patients with bioprosthetic aortic valves were recruited into 2 cohorts with and without prosthetic valve dysfunction and underwent in vivo contrast-enhanced CT angiography, (18)F-fluoride PET, and serial echocardiography during 2 years of follow-up. RESULTS: All ex vivo, degenerate bioprosthetic valves displayed (18)F-fluoride PET uptake that colocalized with tissue degeneration on histology. In 71 patients without known bioprosthesis dysfunction, 14 had abnormal leaflet pathology on CT, and 24 demonstrated (18)F-fluoride PET uptake (target-to-background ratio 1.55 [interquartile range (IQR): 1.44 to 1.88]). Patients with increased (18)F-fluoride uptake exhibited more rapid deterioration in valve function compared with those without (annualized change in peak transvalvular velocity 0.30 [IQR: 0.13 to 0.61] vs. 0.01 [IQR: −0.05 to 0.16] ms(−1)/year; p < 0.001). Indeed (18)F-fluoride uptake correlated with deterioration in all the conventional echocardiographic measures of valve function assessed (e.g., change in peak velocity, r = 0.72; p < 0.001). Each of the 10 patients who developed new overt bioprosthesis dysfunction during follow-up had evidence of (18)F-fluoride uptake at baseline (target-to-background ratio 1.89 [IQR: 1.46 to 2.59]). On multivariable analysis, (18)F-fluoride uptake was the only independent predictor of future bioprosthetic dysfunction. CONCLUSIONS: (18)F-fluoride PET-CT identifies subclinical bioprosthetic valve degeneration, providing powerful prediction of subsequent valvular dysfunction and highlighting patients at risk of valve failure. This technique holds major promise in the diagnosis of valvular degeneration and the surveillance of patients with bioprosthetic valves. (18F-Fluoride Assessment of Aortic Bioprosthesis Durability and Outcome [18F-FAABULOUS]; NCT02304276) Elsevier Biomedical 2019-03-19 /pmc/articles/PMC6424589/ /pubmed/30871693 http://dx.doi.org/10.1016/j.jacc.2018.12.056 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Cartlidge, Timothy R.G. Doris, Mhairi K. Sellers, Stephanie L. Pawade, Tania A. White, Audrey C. Pessotto, Renzo Kwiecinski, Jacek Fletcher, Alison Alcaide, Carlos Lucatelli, Christophe Densem, Cameron Rudd, James H.F. van Beek, Edwin J.R. Tavares, Adriana Virmani, Renu Berman, Daniel Leipsic, Jonathon A. Newby, David E. Dweck, Marc R. Detection and Prediction of Bioprosthetic Aortic Valve Degeneration |
title | Detection and Prediction of Bioprosthetic Aortic Valve Degeneration |
title_full | Detection and Prediction of Bioprosthetic Aortic Valve Degeneration |
title_fullStr | Detection and Prediction of Bioprosthetic Aortic Valve Degeneration |
title_full_unstemmed | Detection and Prediction of Bioprosthetic Aortic Valve Degeneration |
title_short | Detection and Prediction of Bioprosthetic Aortic Valve Degeneration |
title_sort | detection and prediction of bioprosthetic aortic valve degeneration |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6424589/ https://www.ncbi.nlm.nih.gov/pubmed/30871693 http://dx.doi.org/10.1016/j.jacc.2018.12.056 |
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