1
|
Marella NT, Gil AM, Fan W, Aristizabal CA, Asrani P, Harrington JK, Channing A, Setton M, Shah AM, Levasseur S, Glickstein J, Farooqi KM. 3D-Printed Cardiac Models for Fetal Counseling: A Pilot Study and Novel Approach to Improve Communication. Pediatr Cardiol 2023; 44:1800-1807. [PMID: 37199756 PMCID: PMC10193324 DOI: 10.1007/s00246-023-03177-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 05/05/2023] [Indexed: 05/19/2023]
Abstract
A fetal cardiology consultation involves using two-dimensional drawings to explain the cardiac anatomy which can result in inherent variation in how the congenital heart disease (CHD) is conveyed. In this pilot study, we incorporated three-dimensional printed (3DP) models into fetal counseling to demonstrate feasibility and evaluate the impact on parental knowledge, understanding, and anxiety. Parents with a prenatal diagnosis of a muscular ventricular septal defect (VSD) and/or coarctation of aorta were enrolled. Providers were randomized into a Model or Drawing Group and crossed after six months. Parents completed a survey after the consultation which evaluated knowledge of the CHD lesion, expectant surgical management, self-rated understanding, attitude towards the visualization tool, and anxiety. Twenty-nine patients enrolled over a 12 month period. Twelve consultations were done for coarctation of aorta, 13 for VSD, and four for coarctation with a VSD. Both Model and Drawing groups scored similarly in self-reported understanding and confidence, helpfulness of and improvement in communication with the visualization tool. The Model group had higher scores on questions related to the CHD anatomy and surgical intervention [5 [4-5] versus 4 [3.5-5]], p = 0.23 although this didn't reach statistical significance. For the majority (83%) of consultations, the cardiologist agreed that the 3D model improved communication. In this pilot study, we demonstrate the use of 3DP cardiac models during prenatal CHD counseling is feasible and produces results related to parental understanding and knowledge that are equal to and possibly better than the current standard of care.
Collapse
Affiliation(s)
- Nicole Toscana Marella
- Division of Pediatric Cardiology, NewYork-Presbyterian/Columbia University Irving Medical Center, 3959 Broadway, CHN-2, New York, NY, 10023, USA
- Division of Pediatric Cardiology, Children's National Hospital, Washington, DC, USA
| | - Adriana Montes Gil
- Division of Pediatric Cardiology, NewYork-Presbyterian/Columbia University Irving Medical Center, 3959 Broadway, CHN-2, New York, NY, 10023, USA
| | - Weijia Fan
- Columbia University Mailman School of Public Health, New York, NY, USA
| | | | - Priyanka Asrani
- Division of Pediatric Cardiology, NewYork-Presbyterian/Columbia University Irving Medical Center, 3959 Broadway, CHN-2, New York, NY, 10023, USA
| | - Jamie K Harrington
- Division of Pediatric Cardiology, University of Southern California, Los Angeles, CA, USA
| | - Alexandra Channing
- Division of Pediatric Cardiology, NewYork-Presbyterian/Columbia University Irving Medical Center, 3959 Broadway, CHN-2, New York, NY, 10023, USA
| | - Matan Setton
- Division of Pediatric Cardiology, NewYork-Presbyterian/Columbia University Irving Medical Center, 3959 Broadway, CHN-2, New York, NY, 10023, USA
| | - Amee M Shah
- Division of Pediatric Cardiology, NewYork-Presbyterian/Columbia University Irving Medical Center, 3959 Broadway, CHN-2, New York, NY, 10023, USA
| | - Stéphanie Levasseur
- Division of Pediatric Cardiology, NewYork-Presbyterian/Columbia University Irving Medical Center, 3959 Broadway, CHN-2, New York, NY, 10023, USA
| | - Julie Glickstein
- Division of Pediatric Cardiology, NewYork-Presbyterian/Columbia University Irving Medical Center, 3959 Broadway, CHN-2, New York, NY, 10023, USA
| | - Kanwal M Farooqi
- Division of Pediatric Cardiology, NewYork-Presbyterian/Columbia University Irving Medical Center, 3959 Broadway, CHN-2, New York, NY, 10023, USA.
| |
Collapse
|
2
|
Cardiovascular Computed Tomography in Pediatric Congenital Heart Disease: A State of the Art Review. J Cardiovasc Comput Tomogr 2022; 16:467-482. [DOI: 10.1016/j.jcct.2022.04.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Revised: 04/27/2022] [Accepted: 04/28/2022] [Indexed: 01/04/2023]
|
3
|
|
4
|
Capobussi M, Moja L. An open-access and inexpensive 3D printed otoscope for low-resource settings and health crises. 3D Print Med 2021; 7:36. [PMID: 34787772 PMCID: PMC8595962 DOI: 10.1186/s41205-021-00127-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Accepted: 10/11/2021] [Indexed: 11/10/2022] Open
Abstract
Limited access to key diagnostic tools is detrimental to priority health needs of populations. Ear pain, tenderness, itching, and different degree of hearing loss are common problems which require otoscopy as first diagnostic assessment. Where an otoscope is not available because of budget constraints, a self-fabricated low-cost otoscope might represent a feasible opportunity. In this paper, we share the design and construction process of an open-source, 3D printed, otoscope. The prototype was compared to a commercial solution, demonstrating similar overall quality between the instruments.
Collapse
Affiliation(s)
- Matteo Capobussi
- Department of Biomedical Sciences for Health, University of Milan, Milan, Italy. .,Interuniversity Center in Clinical Research, University of Milan, Milan, Italy.
| | - Lorenzo Moja
- Department of Biomedical Sciences for Health, University of Milan, Milan, Italy
| |
Collapse
|
5
|
Revels JW, Wang SS, Gharai LR, Febbo J, Fadl S, Bastawrous S. The role of CT in planning percutaneous structural heart interventions: Where to measure and why. Clin Imaging 2021; 76:247-264. [PMID: 33991744 DOI: 10.1016/j.clinimag.2021.04.029] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Revised: 04/05/2021] [Accepted: 04/12/2021] [Indexed: 11/18/2022]
Abstract
As research continues to demonstrate successes in the use of percutaneous trans-vascular techniques in structural heart intervention, both the subspecialty trained and non-subspecialty trained cardiac imager find themselves performing and reporting larger amounts of information regarding cardiovascular findings. It is therefore imperative that the imager gains understanding and appreciation for how these various measurements are obtained, as well as their implication in a patient's care. Cardiac gated computed tomography (CT) has solidified its role and ability at providing high resolution images that can be used to obtain the key measurements used in structural heart intervention planning. This manuscript aims to provide an overview of what measurements are necessary to report when interpreting CT examinations purposed for structural heart intervention. This includes a review on indications and brief discussion on complications related to these procedures.
Collapse
Affiliation(s)
- Jonathan W Revels
- Department of Radiology, University of New Mexico, MSC 10 5530, 1 University of New Mexico, Albuquerque, NM 87131, USA. https://twitter.com/JRevRad1
| | - Sherry S Wang
- Department of Radiology and Imaging Sciences, University of Utah, 30 North 1900 East #1A71, Salt Lake City, UT 84132, USA. https://twitter.com/drsherrywang
| | - Leila R Gharai
- Department of Radiology, Virginia Commonwealth University, West Hospital, 1200 East Broad Street, North Wing, Room 2-013, Box 980470, Richmond, VA 23298-0470, USA
| | - Jennifer Febbo
- Department of Radiology, University of New Mexico, MSC 10 5530, 1 University of New Mexico, Albuquerque, NM 87131, USA. https://twitter.com/JennFebb
| | - Shaimaa Fadl
- Department of Radiology, Virginia Commonwealth University, West Hospital, 1200 East Broad Street, North Wing, Room 2-013, Box 980470, Richmond, VA 23298-0470, USA
| | - Sarah Bastawrous
- Department of Radiology, University of Washington, Puget Sound Veterans Administration Hospital, 1959 NE Pacific Street, Room BB308, Box 357115, Seattle, WA 98195, USA. https://twitter.com/sbastawrous1
| |
Collapse
|
6
|
Hassanabad AF, Vasanthan V, Fedak PWM. Commentary: A picture is worth a thousand words: Improving surgical approaches using advanced multimodal cardiac imaging. J Thorac Cardiovasc Surg 2021; 163:e247-e248. [PMID: 33642107 DOI: 10.1016/j.jtcvs.2021.01.125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Revised: 01/28/2021] [Accepted: 01/28/2021] [Indexed: 10/22/2022]
Affiliation(s)
- Ali Fatehi Hassanabad
- Section of Cardiac Surgery, Department of Cardiac Sciences, Libin Cardiovascular Institute, Cumming School of Medicine, Calgary, Alberta, Canada
| | - Vishnu Vasanthan
- Section of Cardiac Surgery, Department of Cardiac Sciences, Libin Cardiovascular Institute, Cumming School of Medicine, Calgary, Alberta, Canada
| | - Paul W M Fedak
- Section of Cardiac Surgery, Department of Cardiac Sciences, Libin Cardiovascular Institute, Cumming School of Medicine, Calgary, Alberta, Canada.
| |
Collapse
|
7
|
Kim B, Loke YH, Mass P, Irwin MR, Capeland C, Olivieri L, Krieger A. A Novel Virtual Reality Medical Image Display System for Group Discussions of Congenital Heart Disease: Development and Usability Testing. JMIR Cardio 2020; 4:e20633. [PMID: 33289675 PMCID: PMC7755535 DOI: 10.2196/20633] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2020] [Revised: 10/12/2020] [Accepted: 10/24/2020] [Indexed: 12/29/2022] Open
Abstract
Background The complex 3-dimensional (3D) nature of anatomical abnormalities in congenital heart disease (CHD) necessitates multidisciplinary group discussions centered around the review of medical images such as magnetic resonance imaging. Currently, group viewings of medical images are constrained to 2-dimensional (2D) cross-sectional displays of 3D scans. However, 2D display methods could introduce additional challenges since they require physicians to accurately reconstruct the images mentally into 3D anatomies for diagnosis, staging, and planning of surgery or other therapies. Virtual reality (VR) software may enhance diagnosis and care of CHD via 3D visualization of medical images. Yet, present-day VR developments for medicine lack the emphasis on multiuser collaborative environments, and the effect of displays and level of immersion for diagnosing CHDs have not been studied. Objective The objective of the study was to evaluate and compare the diagnostic accuracies and preferences of various display systems, including the conventional 2D display and a novel group VR software, in group discussions of CHD. Methods A total of 22 medical trainees consisting of 1 first-year, 10 second-year, 4 third-year, and 1 fourth-year residents and 6 medical students, who volunteered for the study, were formed into groups of 4 to 5 participants. Each group discussed three diagnostic cases of CHD with varying structural complexity using conventional 2D display and group VR software. A group VR software, Cardiac Review 3D, was developed by our team using the Unity engine. By using different display hardware, VR was classified into nonimmersive and full-immersive settings. The discussion time, diagnostic accuracy score, and peer assessment were collected to capture the group and individual diagnostic performances. The diagnostic accuracies for each participant were scored by two experienced cardiologists following a predetermined answer rubric. At the end of the study, all participants were provided a survey to rank their preferences of the display systems for performing group medical discussions. Results Diagnostic accuracies were highest when groups used the full-immersive VR compared with the conventional and nonimmersive VR (χ22=9.0, P=.01) displays. Differences between the display systems were more prominent with increasing case complexity (χ22=14.1, P<.001) where full-immersive VR had accuracy scores that were 54.49% and 146.82% higher than conventional and nonimmersive VR, respectively. The diagnostic accuracies provided by the two cardiologists for each participant did not statistically differ from each other (t=–1.01, P=.31). The full-immersive VR was ranked as the most preferred display for performing group CHD discussions by 68% of the participants. Conclusions The most preferred display system among medical trainees for visualizing medical images during group diagnostic discussions is full-immersive VR, with a trend toward improved diagnostic accuracy in complex anatomical abnormalities. Immersion is a crucial feature of displays of medical images for diagnostic accuracy in collaborative discussions.
Collapse
Affiliation(s)
- Byeol Kim
- University of Maryland, College Park, MD, United States
| | - Yue-Hin Loke
- Children's National Hospital, Washington, DC, United States
| | - Paige Mass
- Children's National Hospital, Washington, DC, United States
| | | | | | - Laura Olivieri
- Children's National Hospital, Washington, DC, United States
| | - Axel Krieger
- University of Maryland, College Park, MD, United States
| |
Collapse
|
8
|
Smerling J, Marboe CC, Lefkowitch JH, Pavlicova M, Bacha E, Einstein AJ, Naka Y, Glickstein J, Farooqi KM. Utility of 3D Printed Cardiac Models for Medical Student Education in Congenital Heart Disease: Across a Spectrum of Disease Severity. Pediatr Cardiol 2019; 40:1258-1265. [PMID: 31240370 DOI: 10.1007/s00246-019-02146-8] [Citation(s) in RCA: 47] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2019] [Accepted: 06/20/2019] [Indexed: 10/26/2022]
Abstract
The most common modes of medical education for congenital heart disease (CHD) rely heavily on 2-dimensional imaging. Three-dimensional (3D) printing technology allows for the creation of physical cardiac models that can be used for teaching trainees. 3D printed cardiac models were created for the following lesions: pulmonic stenosis, atrial septal defect, tetralogy of Fallot, d-transposition of the great arteries, coarctation of the aorta, and hypoplastic left heart syndrome. Medical students participated in a workshop consisting of different teaching stations. At the 3D printed station, students completed a pre- and post-intervention survey assessing their knowledge of each cardiac lesion on a Likert scale. Students were asked to rank the educational benefit of each modality. Linear regression was utilized to assess the correlation of the mean increase in knowledge with increasing complexity of CHD based on the Aristotle Basic Complexity Level. 45 medical students attended the CHD workshop. Students' knowledge significantly improved for every lesion (p < 0.001). A strong positive correlation was found between mean increase in knowledge and increasing complexity of CHD (R2 = 0.73, p < 0.05). The 3D printed models, pathology specimens and spoken explanation were found to be the most helpful modalities. Students "strongly agreed" the 3D printed models made them more confident in explaining congenital cardiac anatomy to others (mean = 4.23, ± 0.69), and that they recommend the use of 3D models for future educational sessions (mean = 4.40, ± 0.69). 3D printed cardiac models should be included in medical student education particularly for lesions that require a complex understanding of spatial relationships.
Collapse
Affiliation(s)
- Jennifer Smerling
- Department of Pediatrics, Columbia University Irving Medical Center, New York, NY, USA
| | - Charles C Marboe
- Department of Pathology, Columbia University Irving Medical Center, New York, NY, USA
| | - Jay H Lefkowitch
- Department of Pathology, Columbia University Irving Medical Center, New York, NY, USA
| | - Martina Pavlicova
- Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Emile Bacha
- Division of Pediatric Cardiothoracic Surgery, Department of Surgery, Columbia University Medical Center, New York, NY, USA
| | - Andrew J Einstein
- Division of Cardiology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA.,Department of Radiology, Columbia University Irving Medical Center, New York, NY, USA
| | - Yoshifumi Naka
- Division of Cardiothoracic Surgery, Department of Surgery, Columbia University Irving Medical Center, New York, NY, USA
| | - Julie Glickstein
- Division of Cardiology, Department of Pediatrics, Columbia University Irving Medical Center, 3959 Broadway, CHN-2, New York, NY, 10023, USA
| | - Kanwal M Farooqi
- Division of Cardiology, Department of Pediatrics, Columbia University Irving Medical Center, 3959 Broadway, CHN-2, New York, NY, 10023, USA.
| |
Collapse
|
9
|
Hung KS, Paulsen MJ, Wang H, Hironaka C, Woo YJ. Custom Patient-Specific Three-Dimensional Printed Mitral Valve Models for Pre-Operative Patient Education Enhance Patient Satisfaction and Understanding. J Med Device 2019. [DOI: 10.1115/1.4043737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Abstract
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.
Collapse
Affiliation(s)
- Kay S. Hung
- Department of Cardiothoracic Surgery, Stanford University, 870 Quarry Road Extension, Palo Alto, CA 94304 e-mail:
| | - Michael J. Paulsen
- Department of Cardiothoracic Surgery, Stanford University, 870 Quarry Road Extension, Palo Alto, CA 94304 e-mail:
| | - Hanjay Wang
- Department of Cardiothoracic Surgery, Stanford University, 870 Quarry Road Extension, Palo Alto, CA 94304 e-mail:
| | - Camille Hironaka
- Department of Cardiothoracic Surgery, Stanford University, 870 Quarry Road Extension, Palo Alto, CA 94304 e-mail:
| | - Y. Joseph Woo
- Department of Cardiothoracic Surgery, Stanford University, 870 Quarry Road Extension, Palo Alto, CA 94304 e-mail:
| |
Collapse
|
10
|
|
11
|
Garner KH, Singla DK. 3D modeling: a future of cardiovascular medicine. Can J Physiol Pharmacol 2019; 97:277-286. [DOI: 10.1139/cjpp-2018-0472] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Cardiovascular disease resulting from atypical cardiac structures continues to be a leading health concern despite advancements in diagnostic imaging and surgical techniques. However, the ability to visualize spatial relationships using current technologies remains a challenge. Therefore, 3D modeling has gained significant interest to understand complex and atypical cardiovascular disorders. Moreover, 3D modeling can be personalized and patient-specific. 3D models have been demonstrated to aid surgical planning and simulation, enhance communication among surgeons and patients, optimize medical device design, and can be used as a potential teaching tool in medical schools. In this review, we discuss the key components needed to generate cardiac 3D models. We highlight prevalent structural conditions that have utilized 3D modeling in pre-operative planning. Furthermore, we discuss the current limitations of routine use of 3D models in the clinic as well as future directions for utilization of this technology in the cardiovascular field.
Collapse
Affiliation(s)
- Kaley H. Garner
- Division of Metabolic and Cardiovascular Sciences, Burnett School of Biomedical Sciences, College of Medicine, University of Central Florida, Orlando, FL 32816, USA
- Division of Metabolic and Cardiovascular Sciences, Burnett School of Biomedical Sciences, College of Medicine, University of Central Florida, Orlando, FL 32816, USA
| | - Dinender K. Singla
- Division of Metabolic and Cardiovascular Sciences, Burnett School of Biomedical Sciences, College of Medicine, University of Central Florida, Orlando, FL 32816, USA
| |
Collapse
|
12
|
Bateman MG, Durfee WK, Iles TL, Martin CM, Liao K, Erdman AG, Iaizzo PA. Cardiac patient-specific three-dimensional models as surgical planning tools. Surgery 2019; 167:259-263. [PMID: 30792012 DOI: 10.1016/j.surg.2018.11.022] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2018] [Revised: 11/13/2018] [Accepted: 11/16/2018] [Indexed: 12/23/2022]
Abstract
BACKGROUND Three-dimensional printing is an additive manufacturing method that builds objects from digitally generated computational models. Core technologies behind three-dimensional printing are evolving rapidly with major advances in materials, resolution, and speed that enable greater realism and higher accuracy. These improvements have led to novel applications of these processes in the medical field. METHODS The process of going from a medical image data set (computed tomography, magnetic resonance imaging, ultrasound) to a physical three-dimensional print includes several steps that are described. Medical images originate from Digital Imaging and Communications in Medicine files or data sets, the current standard for storing and transmitting medical images. Via Digital Imaging and Communications in Medicine manipulation software packages, a segmentation process, and manual intervention by an expert user, three-dimensional digital and printed models can be constructed in great detail. RESULTS Cardiovascular medicine is one of the fastest growing applications for medical three-dimensional printing. The technology is more frequently being used for patient and clinician education, preprocedural planning, and medical device design and prototyping. We report on three case studies, describing how our three-dimensional printing has contributed to the care of cardiac patients at the University of Minnesota. CONCLUSION Medical applications of computational three-dimensional modeling and printing are already extensive and growing rapidly and are routinely used for visualizing complex anatomies from patient imaging files to plan surgeries and create surgical simulators. Studies are needed to determine whether three-dimensional printed models are cost effective and can consistently improve clinical outcomes before they become part of routine clinical practice.
Collapse
Affiliation(s)
- Michael G Bateman
- Department of Surgery, University of Minnesota, Minneapolis, MN; Visible Heart Laboratories, University of Minnesota, Minneapolis, MN
| | - William K Durfee
- Institute for Engineering in Medicine University of Minnesota, Minneapolis, MN
| | - Tinen L Iles
- Department of Surgery, University of Minnesota, Minneapolis, MN; Visible Heart Laboratories, University of Minnesota, Minneapolis, MN
| | - Cindy M Martin
- Department of Cardiology, University of Minnesota, Minneapolis, MN
| | - Kenneth Liao
- Department of Surgery, University of Minnesota, Minneapolis, MN
| | - Arthur G Erdman
- Institute for Engineering in Medicine University of Minnesota, Minneapolis, MN
| | - Paul A Iaizzo
- Department of Surgery, University of Minnesota, Minneapolis, MN; Visible Heart Laboratories, University of Minnesota, Minneapolis, MN; Institute for Engineering in Medicine University of Minnesota, Minneapolis, MN.
| |
Collapse
|
13
|
Haleem A, Javaid M, Saxena A. Additive manufacturing applications in cardiology: A review. Egypt Heart J 2018; 70:433-441. [PMID: 30591768 PMCID: PMC6303383 DOI: 10.1016/j.ehj.2018.09.008] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2018] [Accepted: 09/28/2018] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Additive manufacturing (AM) has emerged as a serious planning, strategy, and education tool in cardiovascular medicine. This review describes and illustrates the application, development and associated limitation of additive manufacturing in the field of cardiology by studying research papers on AM in medicine/cardiology. METHODS Relevant research papers till August 2018 were identified through Scopus and examined for strength, benefits, limitation, contribution and future potential of AM. With the help of the existing literature & bibliometric analysis, different applications of AM in cardiology are investigated. RESULTS AM creates an accurate three-dimensional anatomical model to explain, understand and prepare for complex medical procedures. A prior study of patient's 3D heart model can help doctors understand the anatomy of the individual patient, which may also be used create training modules for institutions and surgeons for medical training. CONCLUSION AM has the potential to be of immense help to the cardiologists and cardiac surgeons for intervention and surgical planning, monitoring and analysis. Additive manufacturing creates a 3D model of the heart of a specific patient in lesser time and cost. This technology is used to create and analyse 3D model before starting actual surgery on the patient. It can improve the treatment outcomes for patients, besides saving their lives. Paper summarised additive manufacturing applications particularly in the area of cardiology, especially manufacturing of a patient-specific artificial heart or its component. Model printed by this technology reduces risk, improves the quality of diagnosis and preoperative planning and also enhanced team communication. In cardiology, patient data of heart varies from patient to patient, so AM technologies efficiently produce 3D models, through converting the predesigned virtual model into a tangible object. Companies explore additive manufacturing for commercial medical applications.
Collapse
Affiliation(s)
- Abid Haleem
- Department of Mechanical Engineering, Jamia Millia Islamia, New Delhi, India
| | - Mohd Javaid
- Department of Mechanical Engineering, Jamia Millia Islamia, New Delhi, India
| | - Anil Saxena
- Cardiac Pacing & Electrophysiology, Fortis Escorts, New Delhi, India
| |
Collapse
|
14
|
Pavlosky A, Glauche J, Chambers S, Al-Alawi M, Yanev K, Loubani T. Validation of an effective, low cost, Free/open access 3D-printed stethoscope. PLoS One 2018. [PMID: 29538426 PMCID: PMC5851543 DOI: 10.1371/journal.pone.0193087] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
The modern acoustic stethoscope is a useful clinical tool used to detect subtle, pathological changes in cardiac, pulmonary and vascular sounds. Currently, brand-name stethoscopes are expensive despite limited innovations in design or fabrication in recent decades. Consequently, the high cost of high quality, brand name models serves as a barrier to clinicians practicing in various settings, especially in low- and middle-income countries. In this publication, we describe the design and validation of a low-cost open-access (Free/Libre) 3D-printed stethoscope which is comparable to the Littmann Cardiology III for use in low-access clinics.
Collapse
Affiliation(s)
- Alexander Pavlosky
- Faculty of Medicine, University of Western Ontario, London, Ontario, Canada
| | - Jennifer Glauche
- No institutional affiliation (Independent contractors), Cologne, Germany
| | - Spencer Chambers
- Faculty of Medicine, University of Western Ontario, London, Ontario, Canada
| | | | - Kliment Yanev
- No institutional affiliation (Independent contractors), Cologne, Germany
| | - Tarek Loubani
- Faculty of Medicine, University of Western Ontario, London, Ontario, Canada.,Glia, Inc., London, Canada.,Division of Emergency Medicine, Department of Medicine, University of Western Ontario, London, Ontario, Canada.,Division of Emergency Medicine, London Health Sciences Centre, London, Ontario, Canada.,Division of Emergency Medicine, Al-Shifa Hospital, Gaza City, Occupied Palestinian Territories
| |
Collapse
|