The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
3D printing based on cardiac CT assists anatomic visualization prior to transcatheter aortic valve replacement
Open accessAbstract
Background 3D printing is a promising technique that may have applications in medicine, and there is expanding interest in the use of patient-specific 3D models to guide surgical interventions.Objective To determine the feasibility of using cardiac CT to print individual models of the aortic root complex for transcatheter aortic valve replacement (TAVR) planning as well as to determine the ability to predict paravalvular aortic regurgitation (PAR).Methods This retrospective study included 16 patients (9 with PAR identified on blinded interpretation of post-procedure trans-thoracic echocardiography and 7 age, sex, and valve size-matched controls with no PAR). 3D printed models of the aortic root were created from pre-TAVR cardiac computed tomography data. These models were fitted with printed valves and predictions regarding post-implant PAR were made using a light transmission test.Results Aortic root 3D models were highly accurate, with excellent agreement between annulus measurements made on 3D models and those made on corresponding 2D data (mean difference of -0.34 mm, 95% limits of agreement: ± 1.3 mm). The 3D printed valve models were within 0.1 mm of their designed dimensions. Examination of the fit of valves within patient-specific aortic root models correctly predicted PAR in 6 of 9 patients (6 true positive, 3 false negative) and absence of PAR in 5 of 7 patients (5 true negative, 2 false positive).Conclusions Pre-TAVR 3D-printing based on cardiac CT provides a unique patient-specific method to assess the physical interplay of the aortic root and implanted valves. With additional optimization, 3D models may complement traditional techniques used for predicting which patients are more likely to develop PAR.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Models that replicate the geometrically complex structure of the heart, harboring chambers and large vessels with soft biomaterials, can be achieved using 3D bioprinting.”
From In situ expansion, differentiation, and electromechanical coupling of human cardiac muscle in a 3D bioprinted, chambered organoid (2020) · cites this paper as [13]
Experimental — accuracy not yet measuredThe check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“The concept is gaining traction, as the ability to print tissues composed entirely of native proteins, cells and/or biocompatible synthetic components is possible and accessible to many laboratories9–17.”
From In situ expansion, differentiation, and electromechanical coupling of human cardiac muscle in a 3D bioprinted, chambered organoid (2020) · cites this paper as [13]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Tymrak, B., Kreiger, M. A., & Pearce, J. M. (2014) · Materials & Design (1980-2015) · doi:10.1016/j.matdes.2014.02.038 · Cited by 1,259
Prioritizing spatial accuracy in high-resolution fMRI data using multivariate feature weight mapping
Stelzer, J., Buschmann, T., Lohmann, G., Margulies, D. S., Trampel, R., & Turner, R. (2014) · Frontiers in Neuroscience · doi:10.3389/fnins.2014.00066 · Cited by 636
Achenbach, S. S., Delgado, V., Hausleiter, J., Schoenhagen, P., Min, J. K., & Leipsic, J. A. (2012) · Journal of cardiovascular computed tomography · doi:10.1016/j.jcct.2012.11.002 · Cited by 630
Paravalvular Leak After Transcatheter Aortic Valve Replacement
Généreux, P., Head, S. J., Hahn, R., Daneault, B., Kodali, S., Williams, M. R., van Mieghem, N. M., Alu, M. C., Serruys, P. W., Kappetein, A. P., et al. (2013) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2012.08.1039 · Cited by 447
Assessment of Paravalvular Regurgitation Following TAVR
Pibarot, P., Hahn, R. T., Weissman, N. J., & Monaghan, M. J. (2015) · JACC: Cardiovascular Imaging · doi:10.1016/j.jcmg.2015.01.008 · Cited by 277
Van Belle, E., Juthier, F., Susen, S., Vincentelli, A., Iung, B., Dallongeville, J., Eltchaninoff, H., Laskar, M., Leprince, P., Lievre, M., et al. (2014) · Circulation · doi:10.1161/circulationaha.113.002677 · Cited by 241
Standardized Imaging for Aortic Annular Sizing
Kasel, A. M., Cassese, S., Bleiziffer, S., Amaki, M., Hahn, R. T., Kastrati, A., & Sengupta, P. P. (2013) · JACC. Cardiovascular imaging · doi:10.1016/j.jcmg.2012.12.005 · Cited by 240
Schmauß, D., Haeberle, S., Hagl, C. M., & Sodian, R. (2014) · European Journal of Cardio-Thoracic Surgery · doi:10.1093/ejcts/ezu310 · Cited by 212
Kim, M. S., Hansgen, A. R., Wink, O., Quaife, R. A., & Carroll, J. D. (2008) · Circulation · doi:10.1161/circulationaha.107.740977 · Cited by 189
Yang, T., Webb, J. G., Blanke, P., Dvir, D., Hansson, N. C., Nørgaard, B. L., Thompson, C., Thomas, M., Wendler, O., Vahanian, A. S., et al. (2015) · JACC: Cardiovascular Interventions · doi:10.1016/j.jcin.2014.10.014 · Cited by 133
Binder, T. M., Moertl, D., Mundigler, G., Rehak, G., Franke, M., Delle‐Karth, G., Möhl, W., Baumgartner, H., & Maurer, G. (2000) · Journal of the American College of Cardiology · doi:10.1016/s0735-1097(99)00498-2 · Cited by 115
Use of rapid prototyping models in the planning of percutaneous pulmonary valved stent implantation
Armillotta, A., Bonhoeffer, P., Dubini, G., Ferragina, S., Migliavacca, F., Sala, G., & Schievano, S. (2007) · Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine · doi:10.1243/09544119jeim83 · Cited by 102
Khanafer, K., Duprey, A., Zainal, M., Schlicht, M. S., Williams, D. M., & Berguer, R. (2011) · Journal of Thoracic and Cardiovascular Surgery · doi:10.1016/j.jtcvs.2010.09.068 · Cited by 100
Gonçalves, A., Almerı́a, C., Marcos‐Alberca, P., Feltes, G. I., Hernández‐Antolín, R., Rodrı́guez, E., Silva‐Cardoso, J., Macaya, C., & Zamorano, J. L. (2011) · Journal of the American Society of Echocardiography · doi:10.1016/j.echo.2011.08.019 · Cited by 96
Dankowski, R., Baszko, A., Sutherland, M., Firek, L., Kałmucki, P., Wróblewska, K., Szyszka, A., Groothuis, A., & Siminiak, T. (2014) · Kardiologia Polska · doi:10.5603/kp.2014.0119 · Cited by 89
Olivieri, L., Krieger, A., Chen, M. Y., Kim, P. S.-H., & Kanter, J. P. (2014) · International Journal of Cardiology · doi:10.1016/j.ijcard.2013.12.192 · Cited by 88
Three-Dimensional Ultrasound-Derived Physical Mitral Valve Modeling
Witschey, W. R. T., Pouch, A. M., McGarvey, J. R., Ikeuchi, K., Contijoch, F. J., Levack, M. M., Yushkevick, P. A., Sehgal, C. M., Jackson, B. M., Gorman, R. C., et al. (2014) · The Annals of Thoracic Surgery · doi:10.1016/j.athoracsur.2014.04.094 · Cited by 71
Wong, D. T. L., Bertaso, A., Liew, G. Y. H., Thomson, V. S., Cunnington, M. S., Richardson, J. D., Gooley, R., Lockwood, S. M., Meredith, I. T., Worthley, M. I., et al. (2013) · PubMed · Cited by 70
Buellesfeld, L., Stortecky, S., Heg, D., Gloekler, S., Meier, B., Wenaweser, P., & Windecker, S. (2014) · EuroIntervention · doi:10.4244/eijv10i6a126 · Cited by 70
Imaging in Transcatheter Aortic Valve Replacement (TAVR): role of the radiologist
Litmanovich, D. E., Ghersin, E., Burke, D., Popma, J. J., Shahrzad, M., & Bankier, A. A. (2014) · Insights into Imaging · doi:10.1007/s13244-013-0301-5 · Cited by 51
Echocardiography derived three-dimensional printing of normal and abnormal mitral annuli
Mahmood, F. U., Owais, K., Montealegre-Gallegos, M., Matyal, R., Panzica, P., Maslow, A. D., & Khabbaz, K. R. (2014) · Annals of Cardiac Anaesthesia · doi:10.4103/0971-9784.142062 · Cited by 51
Wang, H., Liu, J., Zheng, X., Rong, X., Zheng, X., Peng, H., Silber-Li, Z., Li, M., & Liu, L. (2015) · Scientific Reports · doi:10.1038/srep10945 · Cited by 51
Percutaneous Pulmonary Valve Implantation in a Native Outflow Tract
Poterucha, J. T., Foley, T. A., & Taggart, N. W. (2014) · JACC: Cardiovascular Interventions · doi:10.1016/j.jcin.2014.03.015 · Cited by 49
Azzalini, L., Ghoshhajra, B. B., Elmariah, S., Passeri, J. J., Inglessis, I., Palacios, I. F., & Abbara, S. (2014) · Journal of cardiovascular computed tomography · doi:10.1016/j.jcct.2013.12.013 · Cited by 30
Development of Personalized Annuloplasty Rings: Combination of CT Images and CAD-CAM Tools
Lantada, A. D., del Valle-Fernández, R., Morgado, P. L., Muñoz-García, J., Sanz, J. L. M., Muñoz-Guijosa, J. M., & Otero, J. E. (2009) · Annals of Biomedical Engineering · doi:10.1007/s10439-009-9805-z · Cited by 25
Transcatheter Aortic Valve Replacement for Patients with Heart Failure
Himbert, D., & Vahanian, A. S. (2015) · Heart Failure Clinics · doi:10.1016/j.hfc.2014.12.003 · Cited by 21
Rojas, G., Gálvez, M., Potler, N. V., Craddock, R. C., Margulies, D. S., Castellanos, F. X., & Milham, M. P. (2014) · Frontiers in Neuroscience · doi:10.3389/fnins.2014.00328 · Cited by 21
Pavicevic, J., Nguyen‐Kim, T. D. L., Caliskan, E., Reser, D., Frauenfelder, T., Plass, A., Stähli, B. E., Maier, W., Seifert, B., Maisano, F., et al. (2014) · International Journal of Cardiology · doi:10.1016/j.ijcard.2014.12.032 · Cited by 11
Cited by
Sorted by citations
Designing Biomaterials for 3D Printing
Güvendiren, M., Molde, J., Soares, R. M. D., & Kohn, J. (2016) · ACS Biomaterials Science & Engineering · doi:10.1021/acsbiomaterials.6b00121 · Cited by 761
Li, Y., Feng, Z., Hao, L., Huang, L., Xin, C., Wang, Y., Bilotti, E., Essa, K., Zhang, H., Li, Z., et al. (2020) · Advanced Materials Technologies · doi:10.1002/admt.201900981 · Cited by 621
Applications of 3D printing in cardiovascular diseases
Giannopoulos, A. A., Mitsouras, D., Yoo, S., Liu, P. P., Chatzizisis, Y. S., & Rybicki, F. J. (2016) · Nature Reviews Cardiology · doi:10.1038/nrcardio.2016.170 · Cited by 423
Self-citationThe role of additive manufacturing for biomedical applications: A critical review
Kumar, R., Kumar, M., & Chohan, J. S. (2021) · Journal of Manufacturing Processes · doi:10.1016/j.jmapro.2021.02.022 · Cited by 383
Garcia, J., Yang, Z., Mongrain, R., Leask, R. L., & Lachapelle, K. J. (2017) · BMJ Simulation & Technology Enhanced Learning · doi:10.1136/bmjstel-2017-000234 · Cited by 348
Metadata
- Authors
- Ripley, B., Kelil, T., Cheezum, M. K., Goncalves, A., Di Carli, M. F., Rybicki, F. J., Steigner, M., Mitsouras, D., & Blankstein, R.
- Affiliations
- Brigham and Women's Hospital (US)
- University of Ottawa (CA)
- Corresponding author
- Blankstein, Ron
- Venue
- Journal of Cardiovascular Computed Tomography
- Publisher
- Elsevier BV
- Published
- 2016-01
- Volume
- 10
- Issue
- 1
- Pages
- 28-36
- ISSN
- 1876-861X (ISSN-L)
- 1934-5925
- PMC
- PMC5573584
- OpenAlex
- W2213274111
- Cited by
- 205
- References
- 28
- Citations by year
- 2026: 3 · 2025: 10 · 2024: 12 · 2023: 15 · 2022: 17 · 2021: 18 · 2020: 31 · 2019: 23 · 2018: 29 · 2017: 36 · 2016: 11
- FWCI
- 18.44
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of cardiovascular computed tomography (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Institute of Biomedical Imaging and Bioengineering (K01EB015868)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac Valve Diseases and Treatments
- Physical Sciences › Engineering › Biomedical Engineering › Anatomy and Medical Technology
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Aortic Disease and Treatment Approaches
- Keywords
- 3D printing, transcatheter aortic valve implantation, paravalvular aortic regurgitation, aortic root, patient-specific 3D models, cardiac CT, surgical planning, valve sizing, aortic annulus measurement
- MeSH terms
- Aged, Aged, 80 and over, Aortic Valve, Aortic Valve Insufficiency, Aortography, Computer Simulation, Female, Heart Valve Prosthesis, Humans, Male, Models, Anatomic, Models, Cardiovascular, Prosthesis Design, Tomography, X-Ray Computed, User-Computer Interface, Treatment Outcome, Prosthesis Fitting, Equipment Failure Analysis, Imaging, Three-Dimensional, Transcatheter Aortic Valve Replacement, Patient-Specific Modeling, Printing, Three-Dimensional
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review