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      We are delighted to announce that CVIA has received its first Journal Impact Factor (0.5) in the 2023 Journal Citation Reports Release.

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      Early-Stage Research on Innovative Technologies and Devices in Cardiovascular Diseases

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      Deadline for Submission: 31 December 2023

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      Using 3D-Printed Models to Advance Clinical Care



            Structural Heart is a new field within the division of cardiovascular service lines. Structural heart has broadened the scope of delivery of cardiovascular care with its ability to deliver new valves and devices to heart patients who were once turned down for traditional open-heart surgery through the use of transcatheter delivery systems and device designs. However, in the absence of an open-surgical field, the main limitation in transcatheter device development and patient-centric care is the inability of the Structural Heart Implanter to palpate the patient’s cardiac anatomy for device sizing and delivery. Application of 3D printing and 3D modeling are becoming a useful toolkit for Structural Heart Implanters, Imagers, and Device specialists within the Heart Team to use as a communication tool and case planning resource to optimize patient care, and patient safety. Transcatheter interventions have revolutionized not only the field of cardiology, but additionally the field of biomedical engineering within Cardiovascular Medicine through the incorporation of 3D simulation technology.

            Main article text


            Since its commercialization in the 1980s, three-dimensional (3D) printing has grown to a more than $7 billion industry (in 2018), with much of this growth driven by its applications in medicine [1]. Healthcare is one of the largest beneficiaries of 3D printing as the technology’s ability to cost-effectively manufacture unique and geometrically complex objects makes it an excellent choice for patient-specific products. Examples of 3D printing in the clinical setting include anatomical models for surgical planning and training, patient-matched surgical instruments, and a variety of implantable devices designed to fit a patient’s unique anatomy. To date, more than 80 3D printed medical devices have been cleared by the US Food and Drug Administration [2].

            Defining 3D Printing

            3D printing, or additive manufacturing, creates a 3D physical object by building one layer of material upon another until the 3D shape is created. This method allows greater design freedom, higher part complexity, and the ability to manufacture unique objects more rapidly than conventional manufacturing techniques. 3D printing is available in several different technologies, with stereolithography, selective laser sintering, material jetting, and fused-deposition modeling being the primary methods used in medicine. Each technology has its advantages, depending on the unique characteristics and material requirements of the 3D printed object.

            Medical Applications of 3D Printing

            Medical applications of 3D printing have diversified greatly since the early 1990s. When 3D printing first emerged, it was a technology applied for surgical preprocedural visualization and planning, enabling surgeons to hold their patient’s anatomy in their hands before operation. Once 3D printing became a standard of care in clinical professions such as dentistry and craniomaxillofacial surgery and demonstrated market potential, the industry made investments in more sophisticated software tools to increase the scalability of personalized medicine enabled by 3D printing. The first wearable 3D printed products soon emerged with the digitization of hearing aid manufacturing. Nearly all hearing aid shells are now manufactured by 3D printers, and other wearable technologies, such as custom, 3D printed eyeglasses, are increasingly popular and widespread (Figure 1).

            Figure 1:

            3D Printed Glasses.

            In the last decade, implantable 3D printed devices have also emerged, allowing implants to be designed and manufactured specific to a patient’s anatomy. These innovations leverage metal materials and are primarily used for orthopedic joint replacement in cases of complex revision surgery or challenging anatomy. Additionally, the development of virtual planning solutions has been instrumental in the rise in popularity of 3D printed surgical tools, enabling the conversion of a software plan to the operating room via a custom instrument or guide made specific to a patients anatomy.

            3D Printing in Cardiology

            Cardiology has been later in adopting 3D printing primarily due to an absence of physician access to imaging hardware and software capable of acquiring the necessary medical imaging dataset to facilitate this technological advancement. Within the past 5 years, the availability of new-generation electrocardiographic gated multidetector cardiac computed tomography (CT) scanners, the development of advanced 3D transesophageal echocardiographic imaging capabilities, and improvements in biomedical engineering software supporting 3D printing have all contributed to significant growth in the use of the technology in cardiology. 3D printing applications have grown rapidly in popularity largely as a tool to aid in procedure visualization and planning. The complex and unique geometry associated with congenital heart conditions has made 3D printing exceptionally well suited to presurgical planning in the field, allowing a multidisciplinary team to gain a better understanding of anomalous anatomy and optimal treatment approaches (Figure 2). Furthermore, interventional cardiologists and pediatric cardiothoracic surgeons have adopted 3D printing as a tool to assist with device selection and approach for challenging structural heart procedures.

            Figure 2:

            3D Printed Pediatric Heart used for Congenital Surgical Planning.

            How to Get to 3D Prints: The Workflow

            High-quality cardiac imaging serves as the input to most medical 3D printing workflows. As described in Figure 3, the 3D printing process starts with a patient and the acquisition of medical images. The image-acquisition step is of utmost importance, and it is essential to ensure that the proper imaging modality is used and that optimal data quality is achieved. The resultant medical images, supported in a Digital Imaging and Communications in Medicine (DICOM) format, are then processed with specialized software to isolate the desired anatomical regions of interest. This process, termed segmentation, can be accomplished with both automated and manual software algorithms. Once the relevant anatomy has been isolated from the images, a 3D surface model is rendered, most commonly in a format known as Standard Tessellation Language (STL). Before 3D printing, the STL file is manipulated with 3D software to virtually aid in case planning and to add design requirements based on the intended use and the targeted printing technology. After the 3D-printing process is complete, postprocessing is required to remove residual support material from the object before its use (Figure 3). The robust method outlined here can be applied to planning and device selection in a variety of structural heart procedures, including transcatheter mitral valve replacement (TMVR), transcatheter aortic valve replacement (TAVR), and left atrial appendage (LAA) closure in patients with atrial fibrillation who are at high risk of cerebrovascular events.

            Figure 3:

            Clinical Workflow from Image Acquisition to Making a 3D Print.

            3D Printing in Structural Heart Interventions
            Application of 3D Printing in LAA Interventions

            Traditionally, LAA interventions have been planned with a mixture of transesophageal echocardiography (TEE) and fluoroscopy. However, as has been underappreciated in the past, the LAA is a complex structure with highly variant morphologies that correlate somewhat with patient age and sex [3, 4]. Given this anatomical variability and the challenge it poses to procedure planning, 3D printing offers an elegant solution by allowing cardiologists to determine the landing zone and fit the closure device before implantation, thereby ensuring proper sealing and minimizing complications.

            3D printing in LAA closure was first successfully demonstrated with the WATCHMAN LAA closure device (Boston Scientific, Marlborough, MA, USA) with use of a combination of multidetector CT and stereolithography to generate a 3D print of a patient’s LAA to fit the WATCHMAN device by hand [5]. Subsequent studies demonstrated 3D printing to have reproducibility and feasibility for LAA closure similar to those of various other LAA intervention devices, including the thoracoscopic AtriClip (AtriCure, Mason, OH, USA), LARIAT (SentreHEART, Redwood City, CA, USA), WaveCrest (Coherex Medical, Salt Lake City, UT, USA), and Amplatzer Amulet (St. Jude Medical, St. Paul, MN, USA) devices [6, 7].

            Value of 3D Printing in LAA Interventions

            In the years since, studies have corroborated the efficacy of 3D printing as a technique to improve patient outcomes in LAA closure. Application of 3D printing in LAA interventions differs depending on institutional specific educational needs. Patient-specific 3D printed models can be used to reduce the early-operator learning curve experienced when new technology is introduced in a health system for the first time [8]. In preprocedural planning, 3D prints of the LAA and the adjacent anatomy help not only facilitate an understanding of echocardiographic images and landmarks that will be shown intraprocedurally for device guidance but also allow ex vivo bench-test simulation of devices to understand the device landing zone, device fit, and ability to seal the LAA after implantation [810]. More commonly, 3D prints in LAA interventions have served as a communication tool for implanting physicians, industry clinical field specialists, and interventional imaging physicians to discuss procedural and equipment case plans before initiation of the femoral access.

            In real-world outcomes comparing 3D-print-planned LAA closure with the standard procedure with the WATCHMAN device, Li et al. found that 3D printing increased procedural success by reducing the occurrence of residual shunts due to incomplete closure; moreover, the 3D-printing group had significantly less radiation exposure as a result of increased planning before the procedure [11]. Similarly, Hell et al. [12] found that CT-based 3D-printing modeling was an effective method for accurate LAA sizing in 95% of patients, whereas TEE alone would have undersized the device in 45% of patients.

            The value of 3D printing is not limited to device sizing. Liu et al. [13] generated 3D prints of the LAA from 3D-TEE datasets and found the 3D prints were able to predict procedural challenges and select WATCHMAN sizes that were consistent with those used in the actual surgery. Additional studies expanded the role of 3D printing beyond procedural planning and sizing to impacting the investigator learning curve. Preprocedural use of 3D printing was found to correlate with a reduction in the implanter operator learning curve with the Amulet device [14]. Long-term value of 3D printing was demonstrated by Conti et al. [15], who demonstrated a significantly higher proportion of patients with postoperative LAA leak secondary to underestimation of prosthesis size in the standard-TEE-approach group as opposed to the CT-based 3D-printing cohort.

            Further studies have demonstrated the utility of 3D printing not just for device sizing but also for optimizing additional aspects of the LAA closure procedure. A prospective study by Eng et al. [9] found that use of CT and 3D printing with the WATCHMAN occluder decreased the number of fluoroscopic angles used in the procedure, and reduced both the overall procedure time and the average number of devices used per procedure, again illustrating the advantages of 3D printing over the traditional approach. Similarly, Obasare et al. [16] found CT-based 3D printing to be a rapid, reliable, and intuitive method for determining the best landing zone, and demonstrated its superiority to the standard approach in a wide variety of dimensions. 3D printing was correlated with reduced procedure time, reduced anesthesia time, reduced fluoroscopy time, absence of peridevice leak, reduced transseptal puncture to catheter removal time, reduced number of device deployments, and reduced number of devices used. Yet many of these potential suboptimal outcomes arise from the lack of personalized devices for patient-specific anatomy. 3D printing may ultimately be only the first step toward personalized medicine for effective LAA occlusion. Work is already being performed demonstrating potential outlines for a 3D-printing process to create implants that fit the exact anatomy of each patient’s unique LAA [17] (Figure 4).

            Figure 4:

            3D Printed Adult Heart.

            Viewing the adult heart from the apex of the left ventricle into the mitral apparatus, shown in gold is the mitral valve and its subchordal apparatus in the left atrium during diastole.

            Application of 3D Printing in Transcatheter Mitral Valve Interventions

            3D printing has also been applied with success in transcatheter mitral valve interventions (TMVR) (Figure 3). Transcatheter mitral valve interventions are a relatively new field of transcatheter interventions. Patients referred for potential TMVR are evaluated by a multidisciplinary heart team after they have been rejected for traditional open-heart surgery given their underlying frailty or likely inability to recover from surgery. In the absence of surgical bail out for a transcatheter procedure, TMVR interventions are high-risk procedures. Complications such as device embolization, paravalvular leak (PAL), and left ventricular outflow tract (LVOT) obstruction are well documented in the field of transcatheter interventions [18, 19]. LVOT obstruction is the most feared complication after TMVR as this is associated with catastrophic death in both the near term and the long term [1821].

            The value of 3D printing and computer simulation in TMVR is difficult to quantify. Much like the use of parachutes in the PARACHUTE study, the purpose of the 3D print in preprocedural planning is to prevent a complication [22]. In a patient with a large LVOT and minimal risk of LVOT obstruction, there may be little value to 3D printing the anatomy. However, for early operators who are starting to perform TMVR, and early operators who are starting to plan TMVR case plans, the value of the 3D print is in understanding the anatomy that a surgeon can palpate but that a transcatheter-trained implanter and an imager would not comprehend. The value of this in preventing death, and preventing life-threatening LVOT obstruction and hemodynamic collapse, is not quantifiable. Once the early-operator learning curve has plateaued, the value of the 3D print may diminish, and dependency on 3D computer-aided design (CAD) simulation is sufficient for all operators to comprehend. However, until all implanters and operators achieve this level of 3D spatial knowledge, the 3D print serves as a planning, bench-testing, and case communication tool [23].

            The ability to 3D print and model a patient’s anatomy before high-risk TMVR interventions greatly helps in determining a patient’s eligibility for the procedure. Wang et al. [23] first pioneered an approach that combines CAD and 3D printed heart models for transcatheter heart valve testing, allowing physicians to simulate the procedure both virtually and in a 3D model, assessing different angles, depths of deployment, and device fit to measure LVOT surface area and determine the risk of neo-LVOT/LVOT obstruction (Figure 5). Later, Wang et al. [24] validated this method in a multicenter trial of patients with severe mitral valve dysfunction, from degenerative surgical mitral ring, bioprosthesis, or severe native mitral stenosis from mitral annular calcification. They performed computer simulations and 3D-printing as part of the analysis using the model as previously described, and then compared predictions with surgical outcome. Of the cases that resulted in neo-LVOT obstruction, they found that the model’s predicted neo-LVOT surface area had 100% sensitivity and 96.8% specificity for predicting TMVR-induced LVOT obstruction, a compelling result indicative of the need for additional investigation and integration into clinical practice. El Sabbagh et al. [25] retrospectively evaluated a case series of patients who underwent TMVR and found that sizing with a 3D print was consistent with the valve used in the procedure in six of eight patients, and LVOT obstruction and paravalvular gaps that occurred in several of the patients during the actual procedure were predicted by the model. As 3D printing in transcatheter interventions is in its infancy and most TMVR technologies are still in early-feasibility clinical trials, virtual modeling 3D printing will continue to serve a greater role for patient care in and delivery of TMVR therapies.

            Figure 5:

            Modeling to Predict Left Ventricular Outflow Tract Obstruction (LVOT) before Transcatheter Mitral Valve Replacement (TMVR).

            Panel A demonstrates the patient’s baseline left-sided heart anatomy from a preprocedural computed tomography scan. In panel B, the proposed virtual transcatheter heart valve is simulated 80% ventricular in the left ventricle, and 20% atrial for TMVR landing zone depiction. The smallest cross-sectional intersection between the basal anteroseptal wall of the left ventricle and the transcatheter heart valve is taken in the steps shown in panels C–E, and is reflected in purple as the neo-LVOT.

            Application of 3D Printing in TAVR

            3D printing has also become a significant area of investigation in TAVR. Physical 3D prints allows investigators to perform modeling of the aortic root ex vivo to fit TAVR devices before the procedure to predict patient risk of PVL. In a retrospective, single-center study by Hosny et al. [26], 30 patients who had undergone TAVR with either a balloon-expandable or a self-expanding valve were selected, 15 of whom had a successful annular seal and 15 of whom had demonstrated PVL. After software analysis of the patients’ preprocedural CT scans, 3D printed models of the aortic root were created to retrospectively size the valves. Incorporation of the 3D prints demonstrated investigator ability to correctly detect the adequateness of annular seal in 73.3% of patients who had received a balloon-expandable valve and in 60% of patients who had received a self-expanding valve. Moreover, regions of the valve with inadequate seal corresponded well with PVL regions detected on postprocedural TEE. Ripley et al. [27] constructed 3D printed aortic root models from 16 patients who had undergone TAVR, and found that their models were highly correlative to predicting PVL in six of nine patients and absence of PVL in five of seven patients.

            Beyond rigid 3D printed models, work has been pioneered on soft-tissue-mimicking models. Qian et al. [28] studied flexible tissue-mimicking 3D prints of the aortic root and found that the annular bulge index, a measurement developed to determine post-TAVR annular strain unevenness in 3D models, was a highly accurate predictor of post-TAVR PAL. The annular bulge index originally derived from 3D prints outperformed other, more established variables investigated. A 3D-printing approach using the annular bulge index has also been investigated in TAVR. In patients with severe aortic stenosis secondary to bicuspid aortic valve disease, the 3D-print annular bulge index has similarly been demonstrated to be an accurate predictor of PVL in this subset patient population [29].

            3D Printing in Simulation Training

            Given the ability of models to be used in a bench-test environment to predict potential outcomes of transcatheter interventions, multiple 3D printed simulation training tools have been developed to decrease the learning curve for new technology development and implementation. 3D printing was studied by Rotman et al. [30] as part of a more complex modeling tool, termed the Replicator, to simulate TAVR devices and train interventional cardiologists. The Replicator starts with 3D printing to construct an accurate model of upper-body vasculature, and also contains an automated Windkessel mechanism to simulate physiological flow. Researchers are able to simulate calcified aortic valves in the Replicator and then model TAVR procedures with an experienced cardiologist, comparing procedure metrics with established clinical data in patients. Early results demonstrate the Replicator is able to produce procedure metrics comparable to clinical data, and its use is thus an effective method for TAVR valve bench testing and physician training. Application of 3D-print-based simulation training may have a role not only in the early-operator learning curve but also in preparation for navigating challenging anatomies and new-device-technology learning curves.


            As the emphasis on personalized, patient-centered healthcare continues to grow, it is unsurprising that 3D printing is increasingly being recognized as an indispensable tool for best practices, both in cardiology and in the larger medical field. Given the technology’s demonstrated benefits in risk reduction, decreasing radiation exposure, shortening procedure times, reducing the number of devices used, and improving overall procedural outcomes via modeling and planning, it is clear that 3D printing has significant advantages in cardiology for patients and providers alike. Moving forward, the continued success of structural heart disease therapies will be driven by innovation and improvements in 3D-printing and 3D-modeling methods and by increasing access of this technology to a wider subset of providers. To that end, it will be important to reduce cost, while also engaging in advocacy to guarantee that the laborious and interdisciplinary nature of this work is adequately compensated; notably, Medicare does not have a reimbursement code for 3D printing, and this currently limits the technology’s feasibility on a national scale. Although the barriers that prevent adoption of 3D printing and 3D modeling as the standard of care are not insignificant, the 3D-printing and 3D-modeling technology as it exists today does not solve every problem inherent to structural heart interventions. The real value of personalized medicine and patient-centric care has not yet been fully discovered. For physicians and patients alike, continued research and refinement of this new clinical workflow is worthy of more investigation in cardiology and in medicine as a whole to ensure that each patient is treated as the anatomically distinct individual they are.


            The authors thank Dr. Scott Dulchavsky, Mark Coticchia, and Ruth Fisher for their support of 3D printing in healthcare delivery at Henry Ford Health System.

            Conflict of Interest

            Dee Dee Wang is a consultant to Edwards Lifesciences, Boston Scientific, and Materialise, and receives research grants from Boston Scientific. Todd Pietila is employed by Materialise. William W. O’Neill is a consultant to Edwards Lifesciences, Medtronic, Boston Scientific, Abbott, and St. Jude Medical, and serves on the board of Neovasc. Marianne Rollet, Eric Myers, Molly Pantelic, Thomas Song, and Milan Pantelic declare they have no conflicts of interest.


            1. Wohlers TTCI, DiegelO, KowenJ. Wohlers report 2018. 3D printing and additive manufacturing state of the industry. Annual worldwide progress report. Fort Collins: Wohlers Associates; 2018.

            2. RiclesLM, CoburnJC, Di PrimaM, OhSS. Regulating 3D-printed medical products. Sci Transl Med 2018;10(461). pii: eaan6521. doi: 10.1126/scitranslmed.aan6521.

            3. HirataY, KusunoseK, YamadaH, ShimizuR, ToriiY, NishioS, et al. Age-related changes in morphology of left atrial appendage in patients with atrial fibrillation. Int J Cardiovasc Imaging 2018;34:321–8.

            4. KaminskiR, KosinskiA, BralaM, PiwkoG, LewickaE, Dąbrowska-KugackaA, et al. Variability of the left atrial appendage in human hearts. PLoS One 2015;10:e0141901.

            5. OttonJM, SpinaR, SulasR, SubbiahRN, JacobsN, MullerDW, et al. Left atrial appendage closure guided by personalized 3D-printed cardiac reconstruction. JACC Cardiovasc Interv 2015;8:1004–6.

            6. PellegrinoPL, FassiniG, Di BiaseM, TondoC. Left atrial appendage closure guided by 3D printed cardiac reconstruction: emerging directions and future trends. J Cardiovasc Electrophysiol 2016;27:768–71.

            7. LitwinowiczR, WitowskiJ, SitkowskiM, FilipG, BochenekM, MichalskiM, et al. Applications of low-cost 3D printing in left atrial appendage closure using epicardial approaches – initial clinical experience. Kardiochir Torakochir Pol 2018;15:135–40.

            8. WangDD, EngM, KupskyD, MyersE, ForbesM, RahmanM, et al. Application of 3-dimensional computed tomographic image guidance to WATCHMAN implantation and impact on early operator learning curve: single-center experience. JACC Cardiovasc Interv 2016;9:2329–40.

            9. EngMH, WangDD, GreenbaumAB, GheewalaN, KupskyD, AkaT, et al. Prospective, randomized comparison of 3-dimensional computed tomography guidance versus TEE data for left atrial appendage occlusion (PRO3DLAAO). Catheter Cardiovasc Interv 2018;92:401–7.

            10. WangDD, ForbesTJ, LeeJC, EngMH. Echocardiographic Imaging for left atrial appendage occlusion: transesophageal echocardiography and intracardiac echocardiographic imaging. Interv Cardiol Clin 2018;7:219–28.

            11. LiH, Qingyao, Bingshen, ShuM, Lizhong, WangX, et al. Application of 3D printing technology to left atrial appendage occlusion. Int J Cardiol 2017;231:258–63.

            12. HellMM, AchenbachS, YooIS, FrankeJ, BlachutzikF, RoetherJ, et al. 3D printing for sizing left atrial appendage closure device: head-to-head comparison with computed tomography and transoesophageal echocardiography. EuroIntervention 2017;13:1234–41.

            13. LiuP, LiuR, ZhangY, LiuY, TangX, ChengY. The value of 3D printing models of left atrial appendage using real-time 3D transesophageal echocardiographic data in left atrial appendage occlusion: applications toward an era of truly personalized medicine. Cardiology 2016;135:255–61.

            14. HachullaAL, NobleS, GuglielmiG, AgulleiroD, MullerH, ValleeJP. 3D-printed heart model to guide LAA closure: useful in clinical practice? Eur Radiol 2019;29:251–8.

            15. ContiM, MarconiS, MuscogiuriG, GuglielmoM, BaggianoA, ItalianoG, et al. Left atrial appendage closure guided by 3D computed tomography printing technology: a case control study. J Cardiovasc Comput Tomogr 2018. pii: S1934-5925(18)30300-9. doi: 10.1016/j.jcct.2018.10.024. [Epub ahead of print].

            16. ObasareE, MainigiSK, MorrisDL, SlipczukL, GoykhmanI, FriendE, et al. CT based 3D printing is superior to transesophageal echocardiography for pre-procedure planning in left atrial appendage device closure. Int J Cardiovasc Imaging 2018;34:821–31.

            17. RobinsonSS, AlaieS, SidotiH, AugeJ, BaskaranL, AvilésK, et al. Patient-specific design of a soft occluder for the left atrial appendage. Nat Biomed Eng 2018;2:8–16.

            18. GuerreroM, EleidM, FoleyT, SaidS, RihalC. Transseptal transcatheter mitral valve replacement in severe mitral annular calcification (transseptal valve-in-MAC). Ann Cardiothorac Surg 2018;7:830–3.

            19. GuerreroM, UrenaM, HimbertD, WangDD, EleidM, KodaliS, et al. 1-Year outcomes of transcatheter mitral valve replacement in patients with severe mitral annular calcification. J Am Coll Cardiol 2018;71:1841–53.

            20. GuerreroM, RihalC. Taking transcatheter mitral valve replacement to the next level. Circ Cardiovasc Interv 2018;11:e007369.

            21. GuerreroM, UrenaM, WangDD, O’NeillW, FeldmanT. Reply: patient-specific computer modeling for the planning of transcatheter mitral valve replacement. J Am Coll Cardiol 2018;72:958.

            22. YehRW, ValsdottirLR, YehMW, ShenC, KramerDB, StromJB, et al. Parachute use to prevent death and major trauma when jumping from aircraft: randomized controlled trial. Br Med J 2018;363:k5094.

            23. WangDD, EngM, GreenbaumA, MyersE, ForbesM, PantelicM, et al. Predicting LVOT obstruction after TMVR. JACC Cardiovasc Imaging 2016;9:1349–52.

            24. WangDD, EngMH, GreenbaumAB, MyersE, ForbesM, KarabonP, et al. Validating a prediction modeling tool for left ventricular outflow tract (LVOT) obstruction after transcatheter mitral valve replacement (TMVR). Catheter Cardiovasc Interv 2018;92:379–87.

            25. El SabbaghA, EleidMF, MatsumotoJM, AnavekarNS, Al-HijjiMA, SaidSM, et al. Three-dimensional prototyping for procedural simulation of transcatheter mitral valve replacement in patients with mitral annular calcification. Catheter Cardiovasc Interv 2018;92:E537–49.

            26. HosnyA, DilleyJD, KelilT, MathurM, DeanMN, WeaverJC, et al. Pre-procedural fit-testing of TAVR valves using parametric modeling and 3D printing. J Cardiovasc Comput Tomogr 2019;13:21–30.

            27. RipleyB, KelilT, CheezumMK, GoncalvesA, Di CarliMF, RybickiFJ, et al. 3D printing based on cardiac CT assists anatomic visualization prior to transcatheter aortic valve replacement. J Cardiovasc Comput Tomogr 2016;10:28–36.

            28. QianZ, WangK, LiuS, ZhouX, RajagopalV, MeduriC, et al. Quantitative prediction of paravalvular leak in transcatheter aortic valve replacement based on tissue-mimicking 3D printing. JACC Cardiovasc Imaging 2017;10:719–31.

            29. LeeAPW, LeongCWM, KwokKW, FanYT. Using 3D printed models for planning transcatheter aortic valve implantation in patients with bicuspid aortic valve. J Am Coll Cardiol 2018;71:suppl., p. A1130.

            30. RotmanOM, KovarovicB, SadasivanC, GrubergL, LieberB, BluesteinD. Realistic vascular replicator for TAVR procedures. Cardiovasc Eng Technnol 2018;9:339–50.

            Author and article information

            Cardiovascular Innovations and Applications
            Compuscript (Ireland )
            April 2019
            April 2019
            : 4
            : 1
            : 53-61
            [1] 1Center for Structural Heart Disease, Division of Cardiology, Henry Ford Health System, 2799 West Grand Boulevard, Detroit, MI 48202, USA
            [2] 2Department of Radiology, Henry Ford Health System, 2799 West Grand Boulevard, Detroit, MI 48202, USA
            [3] 3Materialise, 44650 Helm Ct, Plymouth, MI 48170, USA
            [4] 4Henry Ford Innovation Institute, Henry Ford Health System, 2799 West Grand Boulevard, Detroit, MI 48202, USA
            Author notes
            Correspondence: Dee Dee Wang, MD, FACC, FASE, FSCCT, Director, Structural Heart Imaging, Center for Structural Heart Disease, Henry Ford Hospital, 2799 West Grand Blvd, Clara Ford Pavilion, 432, Detroit, MI 48202, USA, Tel.: +1-313-9168708, E-mail: dwang2@ 123456hfhs.org
            Copyright © 2019 Cardiovascular Innovations and Applications

            This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 Unported License (CC BY-NC 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See https://creativecommons.org/licenses/by-nc/4.0/.

            : 18 February 2019
            : 22 March 2019
            : 25 March 2019

            General medicine,Medicine,Geriatric medicine,Transplantation,Cardiovascular Medicine,Anesthesiology & Pain management
            3D printing,Left atrial appendage,TAVR,transcatheter mitral valve,structural heart


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