In recent years, advances in medical imaging and three-dimensional (3D) additive manufacturing techniques have increased the use of 3D-printed anatomical models for surgical planning, device design and testing, customization of prostheses, and medical education. Using 3D-printing technology, we generated patient-specific models of mitral valves from their pre-operative cardiac imaging data and utilized these custom models to educate patients about their anatomy, disease, and treatment. Clinical 3D transthoracic and transesophageal echocardiography images were acquired from patients referred for mitral valve repair surgery and segmented using 3D modeling software. Patient-specific mitral valves were 3D-printed using a flexible polymer material to mimic the precise geometry and tissue texture of the relevant anatomy. 3D models were presented to patients at their pre-operative clinic visit and patient education was performed using either the 3D model or the standard anatomic illustrations. Afterward, patients completed questionnaires assessing knowledge and satisfaction. Responses were calculated based on a 1–5 Likert scale and analyzed using a nonparametric Mann–Whitney test. Twelve patients were presented with a patient-specific 3D-printed mitral valve model in addition to standard education materials and twelve patients were presented with only standard educational materials. The mean survey scores were 64.2 (±1.7) and 60.1 (±5.9), respectively (p = 0.008). The use of patient-specific anatomical models positively impacts patient education and satisfaction, and is a feasible method to open new opportunities in precision medicine.
Skip Nav Destination
Article navigation
September 2019
Technical Briefs
Custom Patient-Specific Three-Dimensional Printed Mitral Valve Models for Pre-Operative Patient Education Enhance Patient Satisfaction and Understanding
Kay S. Hung,
Kay S. Hung
Department of Cardiothoracic Surgery,
Stanford University,
870 Quarry Road Extension,
Palo Alto, CA 94304
e-mail: kayhung@stanford.edu
Stanford University,
870 Quarry Road Extension,
Palo Alto, CA 94304
e-mail: kayhung@stanford.edu
Search for other works by this author on:
Michael J. Paulsen,
Michael J. Paulsen
Department of Cardiothoracic Surgery,
Stanford University,
870 Quarry Road Extension,
Palo Alto, CA 94304
e-mail: mpaulsen@stanford.edu
Stanford University,
870 Quarry Road Extension,
Palo Alto, CA 94304
e-mail: mpaulsen@stanford.edu
Search for other works by this author on:
Hanjay Wang,
Hanjay Wang
Department of Cardiothoracic Surgery,
Stanford University,
870 Quarry Road Extension,
Palo Alto, CA 94304
e-mail: hanjay@stanford.edu
Stanford University,
870 Quarry Road Extension,
Palo Alto, CA 94304
e-mail: hanjay@stanford.edu
Search for other works by this author on:
Camille Hironaka,
Camille Hironaka
Department of Cardiothoracic Surgery,
Stanford University,
870 Quarry Road Extension,
Palo Alto, CA 94304
e-mail: chironak@stanford.edu
Stanford University,
870 Quarry Road Extension,
Palo Alto, CA 94304
e-mail: chironak@stanford.edu
Search for other works by this author on:
Y. Joseph Woo
Y. Joseph Woo
Department of Cardiothoracic Surgery,
Stanford University,
870 Quarry Road Extension,
Palo Alto, CA 94304
e-mail: joswoo@stanford.edu
Stanford University,
870 Quarry Road Extension,
Palo Alto, CA 94304
e-mail: joswoo@stanford.edu
Search for other works by this author on:
Kay S. Hung
Department of Cardiothoracic Surgery,
Stanford University,
870 Quarry Road Extension,
Palo Alto, CA 94304
e-mail: kayhung@stanford.edu
Stanford University,
870 Quarry Road Extension,
Palo Alto, CA 94304
e-mail: kayhung@stanford.edu
Michael J. Paulsen
Department of Cardiothoracic Surgery,
Stanford University,
870 Quarry Road Extension,
Palo Alto, CA 94304
e-mail: mpaulsen@stanford.edu
Stanford University,
870 Quarry Road Extension,
Palo Alto, CA 94304
e-mail: mpaulsen@stanford.edu
Hanjay Wang
Department of Cardiothoracic Surgery,
Stanford University,
870 Quarry Road Extension,
Palo Alto, CA 94304
e-mail: hanjay@stanford.edu
Stanford University,
870 Quarry Road Extension,
Palo Alto, CA 94304
e-mail: hanjay@stanford.edu
Camille Hironaka
Department of Cardiothoracic Surgery,
Stanford University,
870 Quarry Road Extension,
Palo Alto, CA 94304
e-mail: chironak@stanford.edu
Stanford University,
870 Quarry Road Extension,
Palo Alto, CA 94304
e-mail: chironak@stanford.edu
Y. Joseph Woo
Department of Cardiothoracic Surgery,
Stanford University,
870 Quarry Road Extension,
Palo Alto, CA 94304
e-mail: joswoo@stanford.edu
Stanford University,
870 Quarry Road Extension,
Palo Alto, CA 94304
e-mail: joswoo@stanford.edu
Manuscript received January 15, 2019; final manuscript received April 28, 2019; published online July 15, 2019. Assoc. Editor: Kunal Mitra.
J. Med. Devices. Sep 2019, 13(3): 034501 (5 pages)
Published Online: July 15, 2019
Article history
Received:
January 15, 2019
Revised:
April 28, 2019
Citation
Hung, K. S., Paulsen, M. J., Wang, H., Hironaka, C., and Woo, Y. J. (July 15, 2019). "Custom Patient-Specific Three-Dimensional Printed Mitral Valve Models for Pre-Operative Patient Education Enhance Patient Satisfaction and Understanding." ASME. J. Med. Devices. September 2019; 13(3): 034501. https://doi.org/10.1115/1.4043737
Download citation file:
Get Email Alerts
Cited By
Related Articles
Visualization and Hemo-Dynamic Evaluation of Edge-to-Edge Mitral Valve Repair Within Reanimated Swine Hearts
J. Med. Devices (June,2009)
Integrating Physicians, Researchers and Engineers— 60 Years of Medical Device Innovation at Mayo Clinic
J. Med. Devices (June,2008)
3D CAD Based Conceptual Design of a Novel Aortic Valve Stent
J. Med. Devices (June,2009)
CT Visualization of Cryoablation in Pulmonary Veins
J. Med. Devices (June,2009)
Related Proceedings Papers
Related Chapters
Introduction and scope
Impedimetric Biosensors for Medical Applications: Current Progress and Challenges
A Study on the Application of Internet Video in Rural Medicine Distribution
International Conference on Computer Technology and Development, 3rd (ICCTD 2011)
A Conceptual Hierarchy-Based Approach for the Extraction of Medical Knowledge in Psychiatric Diseases
Intelligent Engineering Systems through Artificial Neural Networks Volume 18