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Donthula R, Li W, Duvvada A, Dyer D, Uppu SC. Normative Computed Tomography Angiography Values of the Aortic Root, Aorta and Aortic arch in Children. RESEARCH SQUARE 2024:rs.3.rs-4406785. [PMID: 38798643 PMCID: PMC11118707 DOI: 10.21203/rs.3.rs-4406785/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
Purpose Normative values for intracardiac and extracardiac vascular structures help in understanding normal growth and changes over time in children; this normative data are not currently available for ECG-gated Computed Tomography Angiography (CTA). We sought to establish ECG-gated CTA derived normative values for the aortic root, aorta and aortic arch in children. Methods and Results Aortic root, ascending aorta, aortic arch, and descending aorta were measured in systole and diastole in 100 subjects who had ECG-gated CTA at our center between January 2015 through December 2020 and met our inclusion criteria. The allometric exponent (AE) for each parameter was derived, and the parameter/body surface areaAE (BSAAE) was established using the previously described methods. Using this data, normalized mean, cross-sectional area, and standard deviation were calculated. Z-score curves were plotted in relation to the BSA for all measurements. Conclusion Our study reports systolic and diastolic ECG-gated CTA Z-scores along with normative curves in relation to BSA for the aortic root, aorta and aortic arch in children.
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Affiliation(s)
| | - Wen Li
- the University of Texas McGovern Medical School at Houston
| | | | | | - Santosh C Uppu
- The University of Texas Health Science Center at Houston
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2
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Donthula R, Li W, Kaur H, Adebo DA, Uppu SC. Normative computed tomography angiography values of the main and branch pulmonary arteries in children. Eur J Pediatr 2024; 183:1183-1193. [PMID: 38078969 DOI: 10.1007/s00431-023-05363-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 11/17/2023] [Accepted: 11/30/2023] [Indexed: 02/07/2024]
Abstract
Non-invasive cardiac imaging like echocardiogram, cardiac magnetic resonance imaging (CMR), and computed tomography angiography (CTA) play a key role in the diagnosis, aid in management and follow-up of congenital heart disease patients. Normative data for intracardiac and extracardiac vascular structures in children are currently available for echocardiogram, CMR, and non-gated CTA. We sought to establish systolic and diastolic normative data for main and branch pulmonary arteries in children using electrocardiogram (ECG)-gated CTA. Diameters and cross-sectional areas of the main and branch pulmonary arteries were measured in systole and diastole based on the aortic valve position (open versus closed) in 100 subjects who had ECG-gated cardiac CTA at our center between January 2015 through December 2020 and met our inclusion criteria. The allometric exponent (AE) for each parameter was derived, and the parameter/body surface area (BSAAE) was established using the previously described methods. A total of 100 children aged 0-18 years were analyzed; mean age was 5.3 years (SD, 6.1 years). Z-score curves were plotted in relation to the BSA for the mean, maximum, and minimum diameters and cross-sectional area of the main and branch pulmonary arteries for systole and diastole. Conclusion: We report systolic and diastolic mean, maximum, and minimum diameters and cross-sectional areas along with Z-scores and normative curves for the main and branch pulmonary arteries in children derived using ECG-gated cardiac CTA. We believe our results can help identify abnormally sized main and branch pulmonary arteries. What is Known: • Normative data for intracardiac and extracardiac vascular structures in the pediatric population are available for echocardiography, cardiac MRI and non-ECG gated CTA. • Z-scores with standard deviations are commonly used in children, but SDs are not constant across body sizes due to heteroscedasticity. What is New: • Allometric exponent was derived for each parameter and the parameter/body surface area (BSA) was established. • This is the first ECG-gated CTA study to provide normative en face systolic, diastolic diameters and cross-sectional areas along with Z-scores and normative curves for the main and branch pulmonary arteries in children.
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Affiliation(s)
- Rakesh Donthula
- The University of Texas Health Science Center at Houston, Children's Memorial Hermann Hospital, Houston, TX, 77030, USA
| | - Wen Li
- Division of Clinical and Translational Sciences, Department of Internal Medicine, the University of Texas McGovern Medical School at Houston, Houston, TX, 77030, USA
- Biostatistics/Epidemiology/Research Design (BERD) Component, Center for Clinical and Translational Sciences (CCTS), The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Harmanpreet Kaur
- The University of Texas Health Science Center at Houston, Children's Memorial Hermann Hospital, Houston, TX, 77030, USA
| | - Dilachew A Adebo
- The University of Texas Health Science Center at Houston, Children's Memorial Hermann Hospital, Houston, TX, 77030, USA
| | - Santosh C Uppu
- The University of Texas Health Science Center at Houston, Children's Memorial Hermann Hospital, Houston, TX, 77030, USA.
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3
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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: 0] [Impact Index Per Article: 0] [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.
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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.
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4
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Yaprak F, Ozer MA, Govsa F, Cinkooglu A, Pinar Y, Gokmen G. Prespecialist perceptions of three-dimensional heart models in anatomical education. Surg Radiol Anat 2023; 45:1165-1175. [PMID: 37537403 DOI: 10.1007/s00276-023-03211-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Accepted: 07/18/2023] [Indexed: 08/05/2023]
Abstract
PURPOSE This article aims to discuss the use of three-dimensional (3D) printed models of vascular variation cases as an educational tool for undergraduate and postgraduate anatomy students. METHODS This advanced study involved ten anatomy assistants who were provided with five distinct cases of congenital cardiovascular variations, each accompanied by a computed tomography angiography (CT-A) and 1:1 solid model format. The residents were asked to generate perceptions for both formats and then compare these perceptions based on identifying the variation, defining the structural features, and evaluating relevant educational perspectives. RESULTS The vascular origin measurement values compared to the statistically evaluated real values of the related cases showed that models were 1:1 identical copies. Qualitative assessment feedback from five stations supported the usefulness of 3D models as educational tools for organ anatomy, simulation of variational structures, and overall medical education and anatomy training. Models showcasing different anatomical variations such as aortic arch with Type 2 pattern, a right-sided aortic arch with Type 2 pattern, an aberrant right subclavian artery, arteria lusoria in thorax, and a left coronary artery originating from pulmonary trunk in an Alcapa type pattern allow for better analysis due to their complex anatomies, thus optimizing the study of variation-specific anatomy. The perception level in the 3D model contained higher points in all of the nine parameters, namely identification of cardiovascular variations, defining the vessel with anomaly, aortic arch branch count and appearance order, feasibility of using it in peers and student education. 3D models received a score 9.1 points, while CT-A images were rated at 4.8 out of 10. CONCLUSION 3D printed anatomical models of variational cardiovascular anatomy serve as essential components of anatomy training and postgraduate clinical perception by granting demonstrative feedback and a superior comprehension of the visuospatial relationship between the anatomical structures.
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Affiliation(s)
- Fulya Yaprak
- Department of Anatomy, Digital Imaging and 3D Modelling Laboratory, Faculty of Medicine, Ege University, Izmir, Turkey
- Department of Anatomy, Faculty of Medicine, Izmir Democracy University, Izmir, Turkey
| | - Mehmet Asim Ozer
- Department of Anatomy, Digital Imaging and 3D Modelling Laboratory, Faculty of Medicine, Ege University, Izmir, Turkey
| | - Figen Govsa
- Department of Anatomy, Digital Imaging and 3D Modelling Laboratory, Faculty of Medicine, Ege University, Izmir, Turkey.
| | - Akin Cinkooglu
- Department of Radiology, Faculty of Medicine, Ege University, Izmir, Turkey
| | - Yelda Pinar
- Department of Anatomy, Digital Imaging and 3D Modelling Laboratory, Faculty of Medicine, Ege University, Izmir, Turkey
| | - Gokhan Gokmen
- Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey
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5
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Liang J, Lu B, Zhao X, Wang J, Zhao D, Zhang G, Zhu B, Ma Q, Pan G, Li D. Feasibility analyses of virtual models and 3D printing for surgical simulation of the double-outlet right ventricle. Med Biol Eng Comput 2022; 60:3029-3040. [DOI: 10.1007/s11517-022-02660-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Accepted: 04/22/2022] [Indexed: 11/30/2022]
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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: 0.5] [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]
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7
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An impact of three dimensional techniques in virtual reality. Int J Health Sci (Qassim) 2022. [DOI: 10.53730/ijhs.v6ns4.6481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Three dimensional (3D) imaging play a prominent role in the diagnosis, treatment planning, and post-therapeutic monitoring of patients with Rheumatic Heart Disease (RHD) or mitral valve disease. More interactive and realistic medical experiences take an advantage of advanced visualization techniques like augmented, mixed, and virtual reality to analyze the 3D models. Further, 3D printed mitral valve model is being used in medical field. All these technologies improve the understanding of the complex morphologies of mitral valve disease. Real-time 3D Echocardiography has attracted much more attention in medical researches because it provides interactive feedback to acquire high-quality images as well as timely spatial information of the scanned area and hence is necessary for intraoperative ultrasound examinations. In this article, three dimensional techniques and its impacts in mitral valve disease are reviewed. Specifically, the data acquisition techniques, reconstruction algorithms with clinical applications are presented. Moreover, the advantages and disadvantages of state-of-the-art approaches are discussed in detail.
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8
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Ghosh RM, Jolley MA, Mascio CE, Chen JM, Fuller S, Rome JJ, Silvestro E, Whitehead KK. Clinical 3D modeling to guide pediatric cardiothoracic surgery and intervention using 3D printed anatomic models, computer aided design and virtual reality. 3D Print Med 2022; 8:11. [PMID: 35445896 PMCID: PMC9027072 DOI: 10.1186/s41205-022-00137-9] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Accepted: 03/12/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Surgical and catheter-based interventions for congenital heart disease require precise understanding of complex anatomy. The use of three-dimensional (3D) printing and virtual reality to enhance visuospatial understanding has been well documented, but integration of these methods into routine clinical practice has not been well described. We review the growth and development of a clinical 3D modeling service to inform procedural planning within a high-volume pediatric heart center. METHODS Clinical 3D modeling was performed using cardiac magnetic resonance (CMR) or computed tomography (CT) derived data. Image segmentation and post-processing was performed using FDA-approved software. Patient-specific anatomy was visualized using 3D printed models, digital flat screen models and virtual reality. Surgical repair options were digitally designed using proprietary and open-source computer aided design (CAD) based modeling tools. RESULTS From 2018 to 2020 there were 112 individual 3D modeling cases performed, 16 for educational purposes and 96 clinically utilized for procedural planning. Over the 3-year period, demand for clinical modeling tripled and in 2020, 3D modeling was requested in more than one-quarter of STAT category 3, 4 and 5 cases. The most common indications for modeling were complex biventricular repair (n = 30, 31%) and repair of multiple ventricular septal defects (VSD) (n = 11, 12%). CONCLUSIONS Using a multidisciplinary approach, clinical application of 3D modeling can be seamlessly integrated into pre-procedural care for patients with congenital heart disease. Rapid expansion and increased demand for utilization of these tools within a high-volume center demonstrate the high value conferred on these techniques by surgeons and interventionalists alike.
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Affiliation(s)
- Reena M Ghosh
- Division of Pediatric Cardiology, Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, 19104, PA, USA.
| | - Matthew A Jolley
- Division of Pediatric Cardiology, Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, 19104, PA, USA.,Department of Anesthesia and Critical Care, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Christopher E Mascio
- Division of Cardiothoracic Surgery, Children's Hospital of Philadelphia, Philadelphia, PA, USA.,Division of Cardiovascular and Thoracic Surgery, West Virginia University School of Medicine, Morgantown, WV, USA
| | - Jonathan M Chen
- Division of Cardiothoracic Surgery, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Stephanie Fuller
- Division of Cardiothoracic Surgery, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Jonathan J Rome
- Division of Pediatric Cardiology, Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, 19104, PA, USA
| | - Elizabeth Silvestro
- Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Kevin K Whitehead
- Division of Pediatric Cardiology, Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, 19104, PA, USA
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9
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Feasibility and accuracy of printed models of complex cardiac defects in small infants from cardiac computed tomography. Pediatr Radiol 2021; 51:1983-1990. [PMID: 34129069 DOI: 10.1007/s00247-021-05110-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Revised: 03/04/2021] [Accepted: 05/17/2021] [Indexed: 10/21/2022]
Abstract
BACKGROUND Three-dimensional (3-D) printed models are increasingly used to enhance understanding of complex anatomy in congenital heart disease. OBJECTIVE To assess feasibility and accuracy of 3-D printed models obtained from cardiac CT scans in young children with complex congenital heart diseases. MATERIALS AND METHODS We included children with conotruncal heart anomalies who were younger than 2 years and had a cardiac CT scan in the course of their follow-up. We used cardiac CT scan datasets to generate 3-D models. To assess the models' accuracy, we compared four diameters for each child between the CT images and the printed models, including the largest diameters (Dmax) of ventricular septal defects and aortic annulus and their minimal diameters (Dmin). RESULTS We obtained images from 14 children with a mean age of 5.5 months (range 1-24 months) and a mean weight of 6.7 kg (range 3.4-14.5 kg). We generated 3-D models for all children. Mean measurement difference between CT images and 3-D models was 0.13 mm for Dmin and 0.12 mm for Dmax for ventricular septal defect diameters, and it was 0.16 mm for Dmin and -0.13 mm for Dmax for aortic annulus diameter, indicating a non-clinically significant difference. CONCLUSION Three-dimensional printed models could be feasibly generated from cardiac CT scans in a small pediatric population with complex congenital heart diseases. This technique is highly accurate and reliably reflects the same structural dimensions when compared to CT source images.
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Yıldız O, Köse B, Tanıdır IC, Pekkan K, Güzeltaş A, Haydin S. Single-center experience with routine clinical use of 3D technologies in surgical planning for pediatric patients with complex congenital heart disease. ACTA ACUST UNITED AC 2021; 27:488-496. [PMID: 34313233 DOI: 10.5152/dir.2021.20163] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
PURPOSE This study was planned to assess the application of three-dimensional (3D) cardiac modeling in preoperative evaluation for complex congenital heart surgeries. METHODS From July 2015 to September 2019, 18 children diagnosed with complex congenital heart diseases (CHDs) were enrolled in this study (double outlet right ventricle in nine patients, complex types of transposition of the great arteries in six patients, congenitally corrected transposition of the great arteries in two patients, and univentricular heart in one patient). The patients' age ranged from 7 months to 19 years (median age, 14 months). Before the operation, 3D patient-specific cardiac models were created based on computed tomography (CT) data. Using each patient's data, a virtual computer model (3D mesh) and stereolithographic (SLA) file that would be printed as a 3D model were generated. These 3D cardiac models were used to gather additional data about cardiac anatomy for presurgical decision-making. RESULTS All 18 patients successfully underwent surgeries, and there were no mortalities. The 3D patient-specific cardiac models led to a change from the initial surgical plans in 6 of 18 cases (33%), and biventricular repair was considered feasible. Moreover, the models helped to modify the planned biventricular repair in five cases, for left ventricular outflow tract obstruction removal and ventricular septal defect enlargement. 3D cardiac models enable pediatric cardiologists to better understand the spatial relationships between the ventricular septal defect and great vessels, and they help surgeons identify risk structures more clearly for detailed planning of surgery. There was a strong correlation between the models of the patients and the anatomy encountered during the operation. CONCLUSION 3D cardiac models accurately reveal the patient's anatomy in detail and are therefore beneficial for planning surgery in patients with complex intracardiac anatomy.
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Affiliation(s)
- Okan Yıldız
- Department of Pediatric Cardiovascular Surgery, Mehmet Akif Ersoy Cardiovascular Research and Training Hospital, Istanbul, Turkey
| | - Banu Köse
- Department of Pediatric Cardiology, Mehmet Akif Ersoy Cardiovascular Research and Training Hospital, Istanbul, Turkey
| | | | - Kerem Pekkan
- Department of Pediatric Cardiology, Mehmet Akif Ersoy Cardiovascular Research and Training Hospital, Istanbul, Turkey
| | - Alper Güzeltaş
- Department of Biomedical Engineering, Koç University, Istanbul, Turkey
| | - Sertaç Haydin
- Department of Pediatric Cardiovascular Surgery, Mehmet Akif Ersoy Cardiovascular Research and Training Hospital, Istanbul, Turkey
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11
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Talanki VR, Peng Q, Shamir SB, Baete SH, Duong TQ, Wake N. Three-Dimensional Printed Anatomic Models Derived From Magnetic Resonance Imaging Data: Current State and Image Acquisition Recommendations for Appropriate Clinical Scenarios. J Magn Reson Imaging 2021; 55:1060-1081. [PMID: 34046959 DOI: 10.1002/jmri.27744] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2020] [Revised: 05/08/2021] [Accepted: 05/10/2021] [Indexed: 12/18/2022] Open
Abstract
Three-dimensional (3D) printing technologies have been increasingly utilized in medicine over the past several years and can greatly facilitate surgical planning thereby improving patient outcomes. Although still much less utilized compared to computed tomography (CT), magnetic resonance imaging (MRI) is gaining traction in medical 3D printing. The purpose of this study was two-fold: 1) to determine the prevalence in the existing literature of using MRI to create 3D printed anatomic models for surgical planning and 2) to provide image acquisition recommendations for appropriate clinical scenarios where MRI is the most suitable imaging modality. The workflow for creating 3D printed anatomic models from medical imaging data is complex and involves image segmentation of the regions of interest and conversion of that data into 3D surface meshes, which are compatible with printing technologies. CT is most commonly used to create 3D printed anatomic models due to the high image quality and relative ease of performing image segmentation from CT data. As compared to CT datasets, 3D printing using MRI data offers advantages since it provides exquisite soft tissue contrast needed for accurate organ segmentation and it does not expose patients to unnecessary ionizing radiation. MRI, however, often requires complicated imaging techniques and time-consuming postprocessing procedures to generate high-resolution 3D anatomic models needed for 3D printing. Despite these challenges, 3D modeling and printing from MRI data holds great clinical promises thanks to emerging innovations in both advanced MRI imaging and postprocessing techniques. EVIDENCE LEVEL: 2 TECHNICAL EFFICATCY: 5.
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Affiliation(s)
- Varsha R Talanki
- Department of Radiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Qi Peng
- Department of Radiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Stephanie B Shamir
- Department of Radiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Steven H Baete
- Center for Advanced Imaging Innovation and Research (CAI2R) and Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU Langone Health, NYU Grossman School of Medicine, New York, New York, USA
| | - Timothy Q Duong
- Department of Radiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Nicole Wake
- Department of Radiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York, USA.,Center for Advanced Imaging Innovation and Research (CAI2R) and Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU Langone Health, NYU Grossman School of Medicine, New York, New York, USA
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12
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Yoo SJ, Hussein N, Peel B, Coles J, van Arsdell GS, Honjo O, Haller C, Lam CZ, Seed M, Barron D. 3D Modeling and Printing in Congenital Heart Surgery: Entering the Stage of Maturation. Front Pediatr 2021; 9:621672. [PMID: 33614554 PMCID: PMC7892770 DOI: 10.3389/fped.2021.621672] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Accepted: 01/06/2021] [Indexed: 12/05/2022] Open
Abstract
3D printing allows the most realistic perception of the surgical anatomy of congenital heart diseases without the requirement of physical devices such as a computer screen or virtual headset. It is useful for surgical decision making and simulation, hands-on surgical training (HOST) and cardiovascular morphology teaching. 3D-printed models allow easy understanding of surgical morphology and preoperative surgical simulation. The most common indications for its clinical use include complex forms of double outlet right ventricle and transposition of the great arteries, anomalous systemic and pulmonary venous connections, and heterotaxy. Its utility in congenital heart surgery is indisputable, although it is hard to "scientifically" prove the impact of its use in surgery because of many confounding factors that contribute to the surgical outcome. 3D-printed models are valuable resources for morphology teaching. Educational models can be produced for almost all different variations of congenital heart diseases, and replicated in any number. HOST using 3D-printed models enables efficient education of surgeons in-training. Implementation of the HOST courses in congenital heart surgical training programs is not an option but an absolute necessity. In conclusion, 3D printing is entering the stage of maturation in its use for congenital heart surgery. It is now time for imagers and surgeons to find how to effectively utilize 3D printing and how to improve the quality of the products for improved patient outcomes and impact of education and training.
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Affiliation(s)
- Shi Joon Yoo
- Department of Diagnostic Imaging, The University of Toronto, Toronto, ON, Canada
- Department of Paediatrics–Division of Cardiology, The University of Toronto, Toronto, ON, Canada
- Center for Image Guided Innovation and Therapeutic Intervention, The University of Toronto, Toronto, ON, Canada
| | - Nabil Hussein
- Center for Image Guided Innovation and Therapeutic Intervention, The University of Toronto, Toronto, ON, Canada
- Department of Surgery-Division of Cardiovascular Surgery, Hospital for Sick Children, The University of Toronto, Toronto, ON, Canada
| | - Brandon Peel
- Center for Image Guided Innovation and Therapeutic Intervention, The University of Toronto, Toronto, ON, Canada
| | - John Coles
- Department of Surgery-Division of Cardiovascular Surgery, Hospital for Sick Children, The University of Toronto, Toronto, ON, Canada
| | - Glen S. van Arsdell
- Department of Surgery, David Geffen School of Medicine at the University of California Los Angeles, Los Angeles, CA, United States
- Department of Surgery, Mattel Children's Hospital at UCLA, Los Angeles, CA, United States
| | - Osami Honjo
- Department of Surgery-Division of Cardiovascular Surgery, Hospital for Sick Children, The University of Toronto, Toronto, ON, Canada
| | - Christoph Haller
- Department of Surgery-Division of Cardiovascular Surgery, Hospital for Sick Children, The University of Toronto, Toronto, ON, Canada
| | - Christopher Z. Lam
- Department of Diagnostic Imaging, The University of Toronto, Toronto, ON, Canada
| | - Mike Seed
- Department of Diagnostic Imaging, The University of Toronto, Toronto, ON, Canada
- Department of Paediatrics–Division of Cardiology, The University of Toronto, Toronto, ON, Canada
| | - David Barron
- Department of Surgery-Division of Cardiovascular Surgery, Hospital for Sick Children, The University of Toronto, Toronto, ON, Canada
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13
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Mowers KL, Fullerton JB, Hicks D, Singh GK, Johnson MC, Anwar S. 3D Echocardiography Provides Highly Accurate 3D Printed Models in Congenital Heart Disease. Pediatr Cardiol 2021; 42:131-141. [PMID: 33083888 DOI: 10.1007/s00246-020-02462-4] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2020] [Accepted: 09/16/2020] [Indexed: 01/22/2023]
Abstract
Cardiac 3D printing is mainly performed from magnetic resonance imaging (MRI) and computed tomography (CT) 3D datasets, though anatomic detail of atrioventricular (AV) valves may be limited. 3D echo provides excellent visualization of AV valves. Thus, we tested the feasibility and accuracy of 3D printing from 3D echo in this pilot series of subjects with congenital heart disease (CHD), with a focus on valve anatomy. Five subjects with CHD were identified. 3D echo data were converted to 3D printable files and printed in collaboration with 3D Systems Healthcare (Golden, Colorado). A novel technique for valve modeling was utilized using commercially available software. Two readers (KM, SA) independently measured valve structures from 3D models and compared to source echo images. 3D printing was feasible for all cases. Table 1 shows measurements comparing 2D echo to 3D models. Bland Altman analysis showed close agreement and no significant bias between 2D and digital 3D models (mean difference 0.0, 95% CI 1.1 to - 1.1) or 2D vs printed 3D models, though with wider limits of agreement (mean difference - 0.3, 95% CI 1.9 to - 2.6). Accuracy of 3D models compared to 2D was within < 0.5 mm. This pilot study shows 3D echo datasets can be used to reliably print AV and semilunar valve structures in CHD. The 3D models are highly accurate compared to the source echo images. This is a novel and value-added technique that adds incremental information on cardiac anatomy over current methods.
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Affiliation(s)
- K L Mowers
- Division of Cardiology, Department of Pediatrics, Washington University in St. Louis School of Medicine, St. Louis, MO, USA
| | | | - D Hicks
- Division of Cardiology, Department of Pediatrics, Washington University in St. Louis School of Medicine, St. Louis, MO, USA
| | - G K Singh
- Division of Cardiology, Department of Pediatrics, Washington University in St. Louis School of Medicine, St. Louis, MO, USA
| | - M C Johnson
- Division of Cardiology, Department of Pediatrics, Washington University in St. Louis School of Medicine, St. Louis, MO, USA
| | - S Anwar
- School of Medicine, University of California, 1975 4th Street Second Floor, Room# A2421, UCSF Box 4029, San Francisco, CA, 94143, USA.
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14
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Current and Future Applications of Virtual, Augmented, and Mixed Reality in Cardiothoracic Surgery. Ann Thorac Surg 2020; 113:681-691. [PMID: 33347848 DOI: 10.1016/j.athoracsur.2020.11.030] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Revised: 10/18/2020] [Accepted: 11/08/2020] [Indexed: 12/23/2022]
Abstract
BACKGROUND This review aims to examine the existing literature to address currently used virtual, augmented, and mixed reality modalities in the areas of preoperative surgical planning, intraoperative guidance, and postoperative management in the field of cardiothoracic surgery. In addition, this innovative technology provides future perspectives and potential benefits for cardiothoracic surgeons, trainees, and patients. METHODS A targeted, non-systematic literature assessment was performed within the Medline and Google Scholar databases to help identify current trends and to provide better understanding of the current state-of-the-art extended reality (XR) modalities in cardiothoracic surgery. Related articles published up to July 2020, are included in the review. RESULTS XR is a novel technique gaining increasing application in cardiothoracic surgery. It provides a three-dimensional (3D) and realistic view of structures and environments and offers the user the ability to interact with digital projections of surgical targets. Recent studies showed the validity and benefits of XR applications in cardiothoracic surgery. Examples include XR-guided pre-operative planning, intraoperative guidance and navigation, post-operative pain and rehabilitation management, surgical simulation, and patient education. CONCLUSIONS XR is gaining interest in the field of cardiothoracic surgery. In particular, there are promising roles for XR applications in televirtuality, surgical planning, surgical simulation, and perioperative management. However, future refinement and research is needed to further implement XR in the aforementioned settings within cardiothoracic surgery.
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15
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Leiner T, Bogaert J, Friedrich MG, Mohiaddin R, Muthurangu V, Myerson S, Powell AJ, Raman SV, Pennell DJ. SCMR Position Paper (2020) on clinical indications for cardiovascular magnetic resonance. J Cardiovasc Magn Reson 2020; 22:76. [PMID: 33161900 PMCID: PMC7649060 DOI: 10.1186/s12968-020-00682-4] [Citation(s) in RCA: 154] [Impact Index Per Article: 38.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Accepted: 09/18/2020] [Indexed: 12/22/2022] Open
Abstract
The Society for Cardiovascular Magnetic Resonance (SCMR) last published its comprehensive expert panel report of clinical indications for CMR in 2004. This new Consensus Panel report brings those indications up to date for 2020 and includes the very substantial increase in scanning techniques, clinical applicability and adoption of CMR worldwide. We have used a nearly identical grading system for indications as in 2004 to ensure comparability with the previous report but have added the presence of randomized controlled trials as evidence for level 1 indications. In addition to the text, tables of the consensus indication levels are included for rapid assimilation and illustrative figures of some key techniques are provided.
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Affiliation(s)
- Tim Leiner
- Department of Radiology, E.01.132, Utrecht University Medical Center, Heidelberglaan 100, 3584CX, Utrecht, The Netherlands.
| | - Jan Bogaert
- Department of Radiology, University Hospitals Leuven, Leuven, Belgium
- Department of Imaging and Pathology, Catholic University Leuven, Herestraat 49, 3000, Leuven, Belgium
| | - Matthias G Friedrich
- Departments of Medicine and Diagnostic Radiology, McGill University, 1001 Decarie Blvd., Montreal, QC, H4A 3J1, Canada
| | - Raad Mohiaddin
- Department of Radiology, Royal Brompton Hospital, Sydney Street, Chelsea, London, SW3 6NP, UK
- National Heart and Lung Institute, Imperial College, South Kensington Campus, London, SW7 2AZ, UK
| | - Vivek Muthurangu
- Centre for Cardiovascular Imaging, Science & Great Ormond Street Hospital for Children, UCL Institute of Cardiovascular, Great Ormond Street, London, WC1N 3JH, UK
| | - Saul Myerson
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, Oxford Centre for Clinical Magnetic Resonance Research (OCMR), University of Oxford, John Radcliffe Hospital, Oxford, OX3 9DU, UK
| | - Andrew J Powell
- Department of Cardiology, Boston Children's Hospital, 300 Longwood Avenue, Farley, 2nd Floor, Boston, MA, 02115, USA
- Department of Pediatrics, Harvard Medical School, 300 Longwood Avenue, Farley, 2nd Floor, Boston, MA, 02115, USA
| | - Subha V Raman
- Krannert Institute of Cardiology, Indiana University School of Medicine, 340 West 10th Street, Fairbanks Hall, Suite 6200, Indianapolis, IN, 46202-3082, USA
| | - Dudley J Pennell
- Royal Brompton Hospital, Sydney Street, Chelsea, London, SW3 6NP, UK
- Imperial College, South Kensington Campus, London, SW7 2AZ, UK
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16
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Goo HW, Park SJ, Yoo SJ. Advanced Medical Use of Three-Dimensional Imaging in Congenital Heart Disease: Augmented Reality, Mixed Reality, Virtual Reality, and Three-Dimensional Printing. Korean J Radiol 2020; 21:133-145. [PMID: 31997589 PMCID: PMC6992436 DOI: 10.3348/kjr.2019.0625] [Citation(s) in RCA: 59] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2019] [Accepted: 10/24/2019] [Indexed: 12/15/2022] Open
Abstract
Three-dimensional (3D) imaging and image reconstruction play a prominent role in the diagnosis, treatment planning, and post-therapeutic monitoring of patients with congenital heart disease. More interactive and realistic medical experiences take advantage of advanced visualization techniques like augmented, mixed, and virtual reality. Further, 3D printing is now used in medicine. All these technologies improve the understanding of the complex morphologies of congenital heart disease. In this review article, we describe the technical advantages and disadvantages of various advanced visualization techniques and their medical applications in the field of congenital heart disease. In addition, unresolved issues and future perspectives of these evolving techniques are described.
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Affiliation(s)
- Hyun Woo Goo
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
| | - Sang Joon Park
- Department of Radiology, Biomedical Research Institute, Seoul National University Hospital, Seoul, Korea
| | - Shi Joon Yoo
- Department of Diagnostic Imaging, The Hospital for Sick Children, University of Toronto, Toronto, Canada
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17
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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: 41] [Impact Index Per Article: 8.2] [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.
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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.
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18
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Parthasarathy J, Krishnamurthy R, Ostendorf A, Shinoka T, Krishnamurthy R. 3D printing with MRI in pediatric applications. J Magn Reson Imaging 2019; 51:1641-1658. [PMID: 31329332 DOI: 10.1002/jmri.26870] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2019] [Revised: 07/01/2019] [Accepted: 07/01/2019] [Indexed: 12/12/2022] Open
Abstract
3D printing (3DP) applications for clinical evaluation, preoperative planning, patient and trainee education, and simulation has increased in the past decade. Most of the applications are found in cardiovascular, head and neck, orthopedic, neurological, urological, and oncological surgical cases. This review has three parts. The first part discusses the technical pathway to realizing a physical model, 3DP considerations in pediatric MRI image acquisition, data and resolution requirements, and related structural segmentation and postprocessing steps needed to generalize both virtual and physical models. Standard practices and processing software used in these processes will be assessed. The second part discusses complementary examples in pediatric applications, including cases from cardiology, neuroradiology, neurology, and neurosurgery, head and neck, orthopedics, pelvic and urological applications, oncological applications, and fetal imaging. The third part explores other 3D printing applications and considerations such as using 3DP to develop tissue-specific phantoms and devices for testing in the MR environment, to educate patients and their families, to train clinicians and students, and facility requirements for building a 3DP program. Level of Evidence: 5 Technical Efficacy: Stage 5 J. Magn. Reson. Imaging 2020;51:1641-1658.
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Affiliation(s)
| | | | - Adam Ostendorf
- Department of Neurology Nationwide Children's Hospital, Columbus, Ohio, USA
| | - Toshiharu Shinoka
- Department of Cardiothoracic Surgery, Nationwide Children's Hospital, Columbus, Ohio, USA
| | - Rajesh Krishnamurthy
- The Department of Radiology, Nationwide Children's Hospital, Columbus, Ohio, USA
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19
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Burkhardt BEU, Brown NK, Carberry JE, Velasco Forte MN, Byrne N, Greil G, Hussain T, Tandon A. Creating three dimensional models of the right ventricular outflow tract: influence of contrast, sequence, operator, and threshold. Int J Cardiovasc Imaging 2019; 35:2067-2076. [PMID: 31203535 DOI: 10.1007/s10554-019-01646-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2019] [Accepted: 06/07/2019] [Indexed: 11/29/2022]
Abstract
The use of 3D printed models of the right ventricular outflow tract (RVOT) for surgical and interventional planning is growing and often requires image segmentation of cardiac magnetic resonance (CMR) images. Segmentation results may vary based on contrast, image sequence, signal threshold chosen by the operator, and manual post-processing. The purpose of this study was to determine potential biases and post-processing errors in image segmentation to enable informed decisions. Models of the RVOT and pulmonary arteries from twelve patients who had contrast enhanced CMR angiography with gadopentetate dimeglumine (GPD), gadofosveset trisodium (GFT), and a post-GFT inversion-recovery (IR) whole heart sequence were segmented, trimmed, and aligned by three operators. Geometric agreement and minimal RVOT diameters were compared between sequences and operators. To determine the contribution of threshold, interoperator variability was compared between models created by the same two operators using the same versus different thresholds. Geometric agreement by Dice between objects was high (intraoperator: 0.89-0.95; interoperator: 0.95-0.97), without differences between sequences. Minimal RVOT diameters differed on average by - 1.9 to - 1.3 mm (intraoperator) and by 0.4 to 1.4 mm (interoperator). The contribution of threshold to interoperator geometric agreement was not significant (same threshold: 0.96 ± 0.06, different threshold: 0.93 ± 0.05; p = 0.181), but minimal RVOT diameters were more variable with different versus constant thresholds (- 9.12% vs. 2.42%; p < 0.05). Thresholding does not significantly change interoperator variability for geometric agreement, but does for minimal RVOT diameter. Minimal RVOT diameters showed clinically relevant variation within and between operators.
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Affiliation(s)
- Barbara E U Burkhardt
- Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX, USA. .,Pediatric Cardiology, Department of Surgery, Pediatric Heart Center, University Children's Hospital Zurich, Steinwiesstr. 75, 8032, Zurich, Switzerland.
| | - Nicholas K Brown
- Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Jaclyn E Carberry
- Division of Imaging Sciences and Biomedical Engineering, King's College London, London, UK
| | | | - Nicholas Byrne
- Division of Imaging Sciences and Biomedical Engineering, King's College London, London, UK
| | - Gerald Greil
- Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX, USA.,Division of Imaging Sciences and Biomedical Engineering, King's College London, London, UK.,Department of Biomedical Engineering, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Tarique Hussain
- Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX, USA.,Division of Imaging Sciences and Biomedical Engineering, King's College London, London, UK.,Department of Biomedical Engineering, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Animesh Tandon
- Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX, USA.,Department of Biomedical Engineering, University of Texas Southwestern Medical Center, Dallas, TX, USA
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20
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Bramlet M, Olivieri L, Farooqi K, Ripley B, Coakley M. Impact of Three-Dimensional Printing on the Study and Treatment of Congenital Heart Disease. Circ Res 2019; 120:904-907. [PMID: 28302738 DOI: 10.1161/circresaha.116.310546] [Citation(s) in RCA: 44] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Matthew Bramlet
- From the Pediatric Cardiology, University of Illinois College of Medicine at Peoria (M.B.); Advanced Imaging and Modeling Initiative, Jump Trading Simulation and Education Center, Peoria, IL (M.B.); Division of Cardiology, Children's National Medical Center, Northwest, Washington, DC (L.O.); Rutgers, Division of Pediatric Cardiology, Department of Pediatrics, New Jersey Medical School, Newark (K.F.); Division of Pediatric Cardiology, Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY (K.F.); Radiology, VA Puget Sound Health Care System and University of Washington Medical School, Seattle (B.R.); and Bioinformatics and Computational Biosciences Branch, Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD (M.C.).
| | - Laura Olivieri
- From the Pediatric Cardiology, University of Illinois College of Medicine at Peoria (M.B.); Advanced Imaging and Modeling Initiative, Jump Trading Simulation and Education Center, Peoria, IL (M.B.); Division of Cardiology, Children's National Medical Center, Northwest, Washington, DC (L.O.); Rutgers, Division of Pediatric Cardiology, Department of Pediatrics, New Jersey Medical School, Newark (K.F.); Division of Pediatric Cardiology, Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY (K.F.); Radiology, VA Puget Sound Health Care System and University of Washington Medical School, Seattle (B.R.); and Bioinformatics and Computational Biosciences Branch, Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD (M.C.)
| | - Kanwal Farooqi
- From the Pediatric Cardiology, University of Illinois College of Medicine at Peoria (M.B.); Advanced Imaging and Modeling Initiative, Jump Trading Simulation and Education Center, Peoria, IL (M.B.); Division of Cardiology, Children's National Medical Center, Northwest, Washington, DC (L.O.); Rutgers, Division of Pediatric Cardiology, Department of Pediatrics, New Jersey Medical School, Newark (K.F.); Division of Pediatric Cardiology, Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY (K.F.); Radiology, VA Puget Sound Health Care System and University of Washington Medical School, Seattle (B.R.); and Bioinformatics and Computational Biosciences Branch, Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD (M.C.)
| | - Beth Ripley
- From the Pediatric Cardiology, University of Illinois College of Medicine at Peoria (M.B.); Advanced Imaging and Modeling Initiative, Jump Trading Simulation and Education Center, Peoria, IL (M.B.); Division of Cardiology, Children's National Medical Center, Northwest, Washington, DC (L.O.); Rutgers, Division of Pediatric Cardiology, Department of Pediatrics, New Jersey Medical School, Newark (K.F.); Division of Pediatric Cardiology, Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY (K.F.); Radiology, VA Puget Sound Health Care System and University of Washington Medical School, Seattle (B.R.); and Bioinformatics and Computational Biosciences Branch, Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD (M.C.)
| | - Meghan Coakley
- From the Pediatric Cardiology, University of Illinois College of Medicine at Peoria (M.B.); Advanced Imaging and Modeling Initiative, Jump Trading Simulation and Education Center, Peoria, IL (M.B.); Division of Cardiology, Children's National Medical Center, Northwest, Washington, DC (L.O.); Rutgers, Division of Pediatric Cardiology, Department of Pediatrics, New Jersey Medical School, Newark (K.F.); Division of Pediatric Cardiology, Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY (K.F.); Radiology, VA Puget Sound Health Care System and University of Washington Medical School, Seattle (B.R.); and Bioinformatics and Computational Biosciences Branch, Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD (M.C.)
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21
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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: 1.0] [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.
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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
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22
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Qasim M, Haq F, Kang MH, Kim JH. 3D printing approaches for cardiac tissue engineering and role of immune modulation in tissue regeneration. Int J Nanomedicine 2019; 14:1311-1333. [PMID: 30863063 PMCID: PMC6388753 DOI: 10.2147/ijn.s189587] [Citation(s) in RCA: 59] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Conventional tissue engineering, cell therapy, and current medical approaches were shown to be successful in reducing mortality rate and complications caused by cardiovascular diseases (CVDs). But still they have many limitations to fully manage CVDs due to complex composition of native myocardium and microvascularization. Fabrication of fully functional construct to replace infarcted area or regeneration of progenitor cells is important to address CVDs burden. Three-dimensional (3D) printed scaffolds and 3D bioprinting technique have potential to develop fully functional heart construct that can integrate with native tissues rapidly. In this review, we presented an overview of 3D printed approaches for cardiac tissue engineering, and advances in 3D bioprinting of cardiac construct and models. We also discussed role of immune modulation to promote tissue regeneration.
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Affiliation(s)
- Muhammad Qasim
- Department of Stem Cell and Regenerative Biotechnology, Humanized Pig Research Centre (SRC), Konkuk University, Seoul, South Korea,
| | - Farhan Haq
- Department of Biosciences, Comsats University, Islamabad, Pakistan
| | - Min-Hee Kang
- Department of Stem Cell and Regenerative Biotechnology, Humanized Pig Research Centre (SRC), Konkuk University, Seoul, South Korea,
| | - Jin-Hoi Kim
- Department of Stem Cell and Regenerative Biotechnology, Humanized Pig Research Centre (SRC), Konkuk University, Seoul, South Korea,
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23
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Apostolopoulou SC, Manginas A, Kelekis NL, Noutsias M. Cardiovascular imaging approach in pre and postoperative tetralogy of Fallot. BMC Cardiovasc Disord 2019; 19:7. [PMID: 30616556 PMCID: PMC6323806 DOI: 10.1186/s12872-018-0996-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2018] [Accepted: 12/27/2018] [Indexed: 11/10/2022] Open
Abstract
Advances in the medical and surgical management of Tetralogy of Fallot have led to marked increase of the number and age of survivors. Imaging in patients with Tetralogy of Fallot plays a crucial role in the diagnosis and follow up, and essentially guides management and intervention in this entity. This study systematically reviews the imaging modalities used in patients with Tetralogy of Fallot in the evaluation of preoperative and postoperative anatomic and hemodynamic lesions, as well as disease progression in this diagnosis. Various invasive and noninvasive imaging modalities, most commonly echocardiography and cardiovascular magnetic resonance, computed tomography and angiocardiography provide the imaging information required for diagnosis, management and follow up in Tetralogy of Fallot. The choice of the appropriate imaging tool or their combination is guided by the clinical question, the patient's clinical condition and contraindications as well as the strengths and weaknesses of each imaging modality. Tetralogy of Fallot is the most common complex congenital heart disease with long term survivors that need close follow up and complicated management, including multiple surgical and transcatheter interventions. Knowledge of the role and protocols of imaging in Tetralogy of Fallot is extremely important for the clinical as well as the imaging physician in order to optimize patients' management and long-term prognosis.
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Affiliation(s)
- Sotiria C. Apostolopoulou
- Department of Pediatric Cardiology & Adult Congenital Heart Disease, Onassis Cardiac Surgery Center, 356 Syngrou Ave, 176 74 Athens, GR Greece
| | - Athanassios Manginas
- Interventional Cardiology and Cardiology Department, Mediterraneo Hospital, Athens, Greece
| | - Nikolaos L. Kelekis
- 2nd Department of Radiology, General University Hospital “ATTIKON”, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Michel Noutsias
- Mid-German Heart Center, Department of Internal Medicine III (KIM-III), Division of Cardiology, Angiology and Intensive Medical Care, University Hospital Halle, Martin-Luther-University Halle, Ernst-Grube-Strasse 40, D-06120 Halle (Saale), Germany
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24
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Garekar S, Bharati A, Kothari F, Patil S, Dhake S, Mali S, Mhatre A, Bind D, Joshi A, Soni B, Malankar D. Virtual three-dimensional model for preoperative planning in a complex case of a double outlet right ventricle. Ann Pediatr Cardiol 2019; 12:295-297. [PMID: 31516286 PMCID: PMC6716306 DOI: 10.4103/apc.apc_141_18] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
A 3-year-old child with a complex variant of double outlet right ventricle achieved a successful biventricular repair after detailed delineation of the intracardiac anatomy on multimodality imaging. A virtual three-dimensional (3D) model based on computed tomography was used successfully in the absence of an actual 3D-printed model. This case report seeks to highlight and hence increase the utilization of the virtual 3D model in resource-limited settings.
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Affiliation(s)
- Swati Garekar
- Division of Pediatric Cardiology, Fortis Hospital, Mumbai, Maharashtra, India
| | - Alpa Bharati
- Division of Radiology, BJ Wadia, Childrens Hospital, Mumbai, Maharashtra, India
| | | | - Sachin Patil
- Division of Anesthesiology and Intensive Care, Fortis Hospital, Mumbai, Maharashtra, India
| | - Shyam Dhake
- Division of Anesthesiology and Intensive Care, Fortis Hospital, Mumbai, Maharashtra, India
| | - Shivaji Mali
- Division of Anesthesiology and Intensive Care, Fortis Hospital, Mumbai, Maharashtra, India
| | - Amit Mhatre
- Division of Intensive Care, Fortis Hospital, Mumbai, Maharashtra, India
| | - Dilip Bind
- Division of Intensive Care, Fortis Hospital, Mumbai, Maharashtra, India
| | - Ashwini Joshi
- Division of Radiology, Fortis Hospital, Mumbai, Maharashtra, India
| | - Bharat Soni
- Division of Pediatric Cardiac Surgery, Fortis Hospital, Mumbai, Maharashtra, India
| | - Dhananjay Malankar
- Division of Pediatric Cardiac Surgery, Fortis Hospital, Mumbai, Maharashtra, India
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Batteux C, Haidar MA, Bonnet D. 3D-Printed Models for Surgical Planning in Complex Congenital Heart Diseases: A Systematic Review. Front Pediatr 2019; 7:23. [PMID: 30805324 PMCID: PMC6378296 DOI: 10.3389/fped.2019.00023] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2018] [Accepted: 01/21/2019] [Indexed: 01/29/2023] Open
Abstract
Background: 3D technology support is an emerging technology in the field of congenital heart diseases (CHD). The goals of 3D printings or models is mainly a better analysis of complex anatomies to optimize the surgical repair or intervention planning. Method: We performed a systematic review to evaluate the accuracy and reliability of CHD modelization and 3D printing, as well as the proof of concept of the benefit of 3D printing in planning interventions. Results: Correlation studies showed good results with anatomical measurements. This technique can therefore be considered reliable with the limit of the operator's subjectivity in modelizing the defect. In cases series, the benefits of the 3D technology have been shown for describing the vessels anatomy and guiding the surgical approach. For intra-cardiac complex anatomy, 3D models have been shown helpful for the planification of intracardiac repair. However, there is still lack of evidence based approach for the usefulness of 3D models in CHD in changing outcomes after surgery or interventional procedures due to the difficulty to design a prospective study with comprehensive and clinically meaningful end-points. Conclusion: 3D technology can be used to improve the understanding of anatomy of complex CHD and to guide surgical strategy. However, there is a need to design clinical studies to identify the place of this approach in the current clinical practice.
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Affiliation(s)
- Clément Batteux
- Department of Congenital and Pediatric Cardiology, Centre de Référence Malformations Cardiaques Congénitales Complexes, Hôpital Necker-Enfants Malades, Assistance Publique-Hopitaux de Paris, Université Paris Descartes, Sorbonne Paris Cité, Paris, France
| | - Moussa A Haidar
- Department of Congenital and Pediatric Cardiology, Centre de Référence Malformations Cardiaques Congénitales Complexes, Hôpital Necker-Enfants Malades, Assistance Publique-Hopitaux de Paris, Université Paris Descartes, Sorbonne Paris Cité, Paris, France
| | - Damien Bonnet
- Department of Congenital and Pediatric Cardiology, Centre de Référence Malformations Cardiaques Congénitales Complexes, Hôpital Necker-Enfants Malades, Assistance Publique-Hopitaux de Paris, Université Paris Descartes, Sorbonne Paris Cité, Paris, France
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Chepelev L, Wake N, Ryan J, Althobaity W, Gupta A, Arribas E, Santiago L, Ballard DH, Wang KC, Weadock W, Ionita CN, Mitsouras D, Morris J, Matsumoto J, Christensen A, Liacouras P, Rybicki FJ, Sheikh A. Radiological Society of North America (RSNA) 3D printing Special Interest Group (SIG): guidelines for medical 3D printing and appropriateness for clinical scenarios. 3D Print Med 2018; 4:11. [PMID: 30649688 PMCID: PMC6251945 DOI: 10.1186/s41205-018-0030-y] [Citation(s) in RCA: 140] [Impact Index Per Article: 23.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2018] [Accepted: 09/19/2018] [Indexed: 02/08/2023] Open
Abstract
Medical three-dimensional (3D) printing has expanded dramatically over the past three decades with growth in both facility adoption and the variety of medical applications. Consideration for each step required to create accurate 3D printed models from medical imaging data impacts patient care and management. In this paper, a writing group representing the Radiological Society of North America Special Interest Group on 3D Printing (SIG) provides recommendations that have been vetted and voted on by the SIG active membership. This body of work includes appropriate clinical use of anatomic models 3D printed for diagnostic use in the care of patients with specific medical conditions. The recommendations provide guidance for approaches and tools in medical 3D printing, from image acquisition, segmentation of the desired anatomy intended for 3D printing, creation of a 3D-printable model, and post-processing of 3D printed anatomic models for patient care.
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Affiliation(s)
- Leonid Chepelev
- Department of Radiology and The Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON Canada
| | - Nicole Wake
- Center for Advanced Imaging Innovation and Research (CAI2R), Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU School of Medicine, New York, NY USA
- Sackler Institute of Graduate Biomedical Sciences, NYU School of Medicine, New York, NY USA
| | | | - Waleed Althobaity
- Department of Radiology and The Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON Canada
| | - Ashish Gupta
- Department of Radiology and The Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON Canada
| | - Elsa Arribas
- Department of Diagnostic Radiology, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Lumarie Santiago
- Department of Diagnostic Radiology, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - David H Ballard
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, Saint Louis, MO USA
| | - Kenneth C Wang
- Baltimore VA Medical Center, University of Maryland Medical Center, Baltimore, MD USA
| | - William Weadock
- Department of Radiology and Frankel Cardiovascular Center, University of Michigan, Ann Arbor, MI USA
| | - Ciprian N Ionita
- Department of Neurosurgery, State University of New York Buffalo, Buffalo, NY USA
| | - Dimitrios Mitsouras
- Department of Radiology and The Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON Canada
| | | | | | - Andy Christensen
- Department of Radiology and The Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON Canada
| | - Peter Liacouras
- 3D Medical Applications Center, Walter Reed National Military Medical Center, Washington, DC, USA
| | - Frank J Rybicki
- Department of Radiology and The Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON Canada
| | - Adnan Sheikh
- Department of Radiology and The Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON Canada
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3D printing for congenital heart disease: a single site's initial three-yearexperience. 3D Print Med 2018; 4:10. [PMID: 30649650 PMCID: PMC6223396 DOI: 10.1186/s41205-018-0033-8] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2018] [Accepted: 10/08/2018] [Indexed: 11/25/2022] Open
Abstract
Background 3D printing is an ideal manufacturing process for creating patient-matched models (anatomical models) for surgical and interventional planning. Cardiac anatomical models have been described in numerous case studies and journal publications. However, few studies attempt to describe wider impact of the novel planning augmentation tool. The work here presents the evolution of an institution’s first 3 full years of 3D prints following consistent integration of the technology into clinical workflow (2012–2014) - a center which produced 79 models for surgical planning (within that time frame). Patient outcomes and technology acceptance following implementation of 3D printing were reviewed. Methods A retrospective analysis was designed to investigate the anatomical model’s impact on time-based surgical metrics. A contemporaneous cohort of standard-of-care pre-procedural planning (no anatomical models) was identified for comparative analysis. A post-surgery technology acceptance assessment was also employed in a smaller subset to measure perceived efficacy of the anatomical models. The data was examined. Results Within the timeframe of the study, 928 primary-case cardiothoracic surgeries (encompassing both CHD and non-CHD surgeries) took place at the practicing pediatric hospital. One hundred sixty four anatomical models had been generated for various purposes. An inclusion criterion based on lesion type limited those with anatomic models to 33; there were 113 cases matching the same criterion that received no anatomical model. Time-based metrics such as case length-of-time showed a mean reduction in overall time for anatomical models. These reductions were not statistically significant. The technology acceptance survey did demonstrate strong perceived efficacy. Anecdotal vignettes further support the technology acceptance. Discussion & conclusion The anatomical models demonstrate trends for reduced operating room and case length of time when compared with similar surgeries in the same time-period; in turn, these reductions could have significant impact on patient outcomes and operating room economics. While analysis did not yield robust statistical powering, strong Cohen’s d values suggest poor powering may be more related to sample size than non-ideal outcomes. The utility of planning with an anatomical model is further supported by the technology acceptance study which demonstrated that surgeons perceive the anatomical models to be an effective tool in surgical planning for a complex CHD repair. A prospective multi-center trial is currently in progress to further validate or reject these findings.
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Olivieri LJ, Zurakowski D, Ramakrishnan K, Su L, Alfares FA, Irwin MR, Heichel J, Krieger A, Nath DS. Novel, 3D Display of Heart Models in the Postoperative Care Setting Improves CICU Caregiver Confidence. World J Pediatr Congenit Heart Surg 2018; 9:206-213. [PMID: 29544410 DOI: 10.1177/2150135117745005] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Postoperative care delivered in the pediatric cardiac intensive care unit (CICU) relies on providers' understanding of patients' congenital heart defects (CHDs) and procedure performed. Novel, bedside use of virtual, three-dimensional (3D) heart models creates access to patients' CHD to improve understanding. This study evaluates the impact of patient-specific virtual 3D heart models on CICU provider attitudes and care delivery. METHODS Virtual 3D heart models were created from standard preoperative cardiac imaging of ten patients with CHD undergoing repair and displayed on a bedside tablet in the CICU. Providers completed a Likert questionnaire evaluating the models' value in understanding anatomy and improving care delivery. Responses were compared using two-tailed t test and Mann-Whitney U test and were also compared to previously collected CICU provider responses regarding use of printed 3D heart models. RESULTS Fifty-three clinicians (19 physicians, 34 nurses/trainees) participated; 49 (92%) of 53 and 44 (83%) of 53 reported at least moderate to high satisfaction with the virtual 3D heart's ability to enhance understanding of anatomy and surgical repair, respectively. Seventy-one percent of participants felt strongly that virtual 3D models improved their ability to manage postoperative problems. The majority of both groups (63% physicians, 53% nurses) felt that virtual 3D heart models improved CICU handoffs. Virtual 3D heart models were as effective as printed models in improving understanding and care delivery, with a noted provider preference for printed 3D heart models. CONCLUSIONS Virtual 3D heart models depicting patient-specific CHDs are perceived to improve understanding and postoperative care delivery in the CICU.
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Affiliation(s)
- Laura J Olivieri
- 1 Division of Cardiology, Children's National Medical Center, Washington, DC, USA
| | - David Zurakowski
- 2 Department of Anesthesia, Boston Children's Hospital, Harvard School of Medicine, Boston, MA, USA.,3 Department of Surgery, Boston Children's Hospital, Harvard School of Medicine, Boston, MA, USA
| | - Karthik Ramakrishnan
- 1 Division of Cardiology, Children's National Medical Center, Washington, DC, USA
| | - Lillian Su
- 4 Division of Critical Care, Children's National Medical Center, Washington, DC, USA
| | - Fahad A Alfares
- 1 Division of Cardiology, Children's National Medical Center, Washington, DC, USA
| | | | - Jenna Heichel
- 4 Division of Critical Care, Children's National Medical Center, Washington, DC, USA
| | - Axel Krieger
- 6 Department of Bioengineering, Sheikh Zayed Institute for Surgical Innovation, Children's National Medical Center, Washington, DC, USA.,7 Department of Mechanical Engineering, University of Maryland, College Park, MD, USA
| | - Dilip S Nath
- 8 Division of Cardiovascular Surgery, Children's National Medical Center, Washington, DC, USA
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Abstract
PURPOSE OF REVIEW Advances in medical imaging and three-dimensional (3D) reconstruction software have enabled a proliferation of 3D modeling and 3D printing for clinical applications. In particular, 3D printing has garnered an extraordinary media presence over the past few years. There is growing optimism that 3D printing can address patient specificity and complexity for improved interventional and surgical planning. Will this relatively untested technology bring about a paradigm shift in the clinical environment, or is it just a transient fad? RECENT FINDINGS Case studies and series centered around 3D printing are omnipresent in clinical and engineering journals. These primarily qualitative studies support the potential efficacy of the emerging technology. Few studies analyze the value of 3D printing, weighing its potential benefits against increasing costs (e.g., institutional overhead, labor, and materials). SUMMARY Clinical integration of 3D printing is growing rapidly, and its adoption into clinical practice presents unique workflow challenges. There are numerous clinical trials on the horizon that will finally help to elucidate the measured impact of 3D printing on clinical outcomes through quantitative analyses of clinical and economic metrics. The contrived integration of 3D printing into clinical practice seems all but certain as the value of this technology becomes more and more evident.
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El Sabbagh A, Eleid MF, Al-Hijji M, Anavekar NS, Holmes DR, Nkomo VT, Oderich GS, Cassivi SD, Said SM, Rihal CS, Matsumoto JM, Foley TA. The Various Applications of 3D Printing in Cardiovascular Diseases. Curr Cardiol Rep 2018; 20:47. [PMID: 29749577 DOI: 10.1007/s11886-018-0992-9] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
PURPOSE OF REVIEW To highlight the various applications of 3D printing in cardiovascular disease and discuss its limitations and future direction. RECENT FINDINGS Use of handheld 3D printed models of cardiovascular structures has emerged as a facile modality in procedural and surgical planning as well as education and communication. Three-dimensional (3D) printing is a novel imaging modality which involves creating patient-specific models of cardiovascular structures. As percutaneous and surgical therapies evolve, spatial recognition of complex cardiovascular anatomic relationships by cardiologists and cardiovascular surgeons is imperative. Handheld 3D printed models of cardiovascular structures provide a facile and intuitive road map for procedural and surgical planning, complementing conventional imaging modalities. Moreover, 3D printed models are efficacious educational and communication tools. This review highlights the various applications of 3D printing in cardiovascular diseases and discusses its limitations and future directions.
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Affiliation(s)
- Abdallah El Sabbagh
- Department of Cardiovascular Diseases, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Mackram F Eleid
- Department of Cardiovascular Diseases, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Mohammed Al-Hijji
- Department of Cardiovascular Diseases, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Nandan S Anavekar
- Department of Cardiovascular Diseases, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - David R Holmes
- Department of Cardiovascular Diseases, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Vuyisile T Nkomo
- Department of Cardiovascular Diseases, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | | | | | - Sameh M Said
- Division of Cardiovascular Surgery, Mayo Clinic, Rochester, MN, USA
| | - Charanjit S Rihal
- Department of Cardiovascular Diseases, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | | | - Thomas A Foley
- Department of Cardiovascular Diseases, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
- Department of Radiology, Mayo Clinic, Rochester, MN, USA.
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Anwar S, Singh GK, Miller J, Sharma M, Manning P, Billadello JJ, Eghtesady P, Woodard PK. 3D Printing is a Transformative Technology in Congenital Heart Disease. JACC Basic Transl Sci 2018; 3:294-312. [PMID: 30062215 PMCID: PMC6059001 DOI: 10.1016/j.jacbts.2017.10.003] [Citation(s) in RCA: 53] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2017] [Revised: 10/08/2017] [Accepted: 10/11/2017] [Indexed: 12/26/2022]
Abstract
Survival in congenital heart disease has steadily improved since 1938, when Dr. Robert Gross successfully ligated for the first time a patent ductus arteriosus in a 7-year-old child. To continue the gains made over the past 80 years, transformative changes with broad impact are needed in management of congenital heart disease. Three-dimensional printing is an emerging technology that is fundamentally affecting patient care, research, trainee education, and interactions among medical teams, patients, and caregivers. This paper first reviews key clinical cases where the technology has affected patient care. It then discusses 3-dimensional printing in trainee education. Thereafter, the role of this technology in communication with multidisciplinary teams, patients, and caregivers is described. Finally, the paper reviews translational technologies on the horizon that promise to take this nascent field even further.
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Key Words
- 3D printing
- 3D, three-dimensional
- ACHD, adults with congenital heart disease
- APC, aortopulmonary collaterals
- ASD, atrial septal defect
- CHD, congenital heart disease
- CT, computed tomography
- DORV, double outlet right ventricle
- MAPCAs, multiple aortopulmonary collaterals
- MRI, magnetic resonance imaging
- OR, operating room
- VSD, ventricular septal defect
- cardiac imaging
- cardiothoracic surgery
- congenital heart disease
- simulation
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Affiliation(s)
- Shafkat Anwar
- Division of Cardiology, Department of Pediatrics, Washington University School of Medicine, St. Louis, Missouri
| | - Gautam K. Singh
- Division of Cardiology, Department of Pediatrics, Washington University School of Medicine, St. Louis, Missouri
| | - Jacob Miller
- Division of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, St. Louis, Missouri
| | - Monica Sharma
- Division of Cardiology, Department of Pediatrics, Washington University School of Medicine, St. Louis, Missouri
| | - Peter Manning
- Division of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, St. Louis, Missouri
| | - Joseph J. Billadello
- Division of Cardiovascular Medicine, Department of Internal Medicine, Washington University School of Medicine, St. Louis, Missouri
| | - Pirooz Eghtesady
- Division of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, St. Louis, Missouri
| | - Pamela K. Woodard
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri
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Clinical value of patient-specific three-dimensional printing of congenital heart disease: Quantitative and qualitative assessments. PLoS One 2018; 13:e0194333. [PMID: 29561912 PMCID: PMC5862481 DOI: 10.1371/journal.pone.0194333] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2017] [Accepted: 02/12/2018] [Indexed: 11/29/2022] Open
Abstract
Objective Current diagnostic assessment tools remain suboptimal in demonstrating complex morphology of congenital heart disease (CHD). This limitation has posed several challenges in preoperative planning, communication in medical practice, and medical education. This study aims to investigate the dimensional accuracy and the clinical value of 3D printed model of CHD in the above three areas. Methods Using cardiac computed tomography angiography (CCTA) data, a patient-specific 3D model of a 20-month-old boy with double outlet right ventricle was printed in Tango Plus material. Pearson correlation coefficient was used to evaluate correlation of the quantitative measurements taken at analogous anatomical locations between the CCTA images pre- and post-3D printing. Qualitative analysis was conducted by distributing surveys to six health professionals (two radiologists, two cardiologists and two cardiac surgeons) and three medical academics to assess the clinical value of the 3D printed model in these three areas. Results Excellent correlation (r = 0.99) was noted in the measurements between CCTA and 3D printed model, with a mean difference of 0.23 mm. Four out of six health professionals found the model to be useful in facilitating preoperative planning, while all of them thought that the model would be invaluable in enhancing patient-doctor communication. All three medical academics found the model to be helpful in teaching, and thought that the students will be able to learn the pathology quicker with better understanding. Conclusion The complex cardiac anatomy can be accurately replicated in flexible material using 3D printing technology. 3D printed heart models could serve as an excellent tool in facilitating preoperative planning, communication in medical practice, and medical education, although further studies with inclusion of more clinical cases are needed.
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Anatomical Repair Conversion After Bidirectional Cavopulmonary Shunt for Complex Cardiac Anomalies: Palliation is Not a One-Way Path. Pediatr Cardiol 2018; 39:604-609. [PMID: 29297105 DOI: 10.1007/s00246-017-1800-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2017] [Accepted: 12/22/2017] [Indexed: 10/18/2022]
Abstract
Complex cardiac anomalies are sometimes channeled toward Fontan palliation for various reasons. Nevertheless, anatomical repair after bidirectional cavopulmonary shunt may be another option with theoretical benefits. In this study, we report our experience with anatomical repair conversion in challenging patients who had been palliated with bidirectional cavopulmonary shunt. Retrospective review was conducted in patients who underwent anatomical repair conversion from prior bidirectional cavopulmonary shunt palliation between January 2008 and March 2016. Patients who underwent a planned staged 1½-ventricular repair were excluded. Twenty-three patients underwent anatomical repair conversion at a median age of 6.5 years (range 2.7-20.0 years). The interval time between palliation and conversion was 4.6 ± 2.4 years (range 0.9-12.4). Indications for conversion were high-risk Fontan candidates (n = 11) and preference for biventricular anatomy (n = 12). In eight of the patients, bidirectional cavopulmonary shunts were taken down and superior vena cava was reconnected to the right atrium with Gore-Tex tube or bovine jugular venous tube. Mean cardiopulmonary bypass and aortic cross-clamp times were 225.6 ± 107.0 and 138.3 ± 76.6 min, respectively. After a mean follow-up of 2.7 ± 2.2 years, there was no mortality and reoperation. No patients presented sinoatrial node dysfunction and superior venous cave stenosis. All the patients were in the New York Heart Association functional class I or II. Patients with previous bidirectional cavopulmonary shunt should be re-evaluated before completion of Fontan and, if cardiac anatomy allows, anatomical repair conversion may be considered, especially in patients with high-risk Fontan completion. Initial bidirectional cavopulmonary shunt palliation should not be considered as a one-way path to Fontan. Although technically challenging, early- and mid-term clinical results of anatomical repair conversion were satisfactory.
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Subat A, Goldberg A, Demaria S, Katz D. The Utility of Simulation in the Management of Patients With Congenital Heart Disease: Past, Present, and Future. Semin Cardiothorac Vasc Anesth 2017; 22:81-90. [PMID: 29231093 DOI: 10.1177/1089253217746243] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Significant advancements have been made in the diagnosis and management of congenital heart disease (CHD). As a result, a higher percentage of these patients are surviving to adulthood. Despite this improvement in management, these patients remain at higher risk of morbidity and mortality, particularly in the perioperative setting. One new area of interest in these patients is the implementation of simulation-based medical education. Simulation has demonstrated various benefits across high-acuity scenarios encountered in the hospital. In CHD, simulation has been used in the training of pediatrics residents, assessment of intraoperative complications, echocardiography, and anatomic modeling with 3-dimensional printing. Here, we describe the current state of simulation in CHD, its role in training care providers for the management of this population, and future directions of CHD simulation.
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Affiliation(s)
- Ali Subat
- 1 Icahn School of Medicine at Mt Sinai, New York, NY, USA
| | | | - Samuel Demaria
- 1 Icahn School of Medicine at Mt Sinai, New York, NY, USA
| | - Daniel Katz
- 1 Icahn School of Medicine at Mt Sinai, New York, NY, USA
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Kankala RK, Zhu K, Li J, Wang CS, Wang SB, Chen AZ. Fabrication of arbitrary 3D components in cardiac surgery: from macro-, micro- to nanoscale. Biofabrication 2017; 9:032002. [PMID: 28770811 DOI: 10.1088/1758-5090/aa8113] [Citation(s) in RCA: 53] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Fabrication of tissue-/organ-like structures at arbitrary geometries by mimicking the properties of the complex material offers enormous interest to the research and clinical applicability in cardiovascular diseases. Patient-specific, durable, and realistic three-dimensional (3D) cardiac models for anatomic consideration have been developed for education, pro-surgery planning, and intra-surgery guidance. In cardiac tissue engineering (TE), 3D printing technology is the most convenient and efficient microfabrication method to create biomimetic cardiovascular tissue for the potential in vivo implantation. Although booming rapidly, this technology is still in its infancy. Herein, we provide an emphasis on the application of this technology in clinical practices, micro- and nanoscale fabrications by cardiac TE. Initially, we will give an overview on the fabrication methods that can be used to synthesize the arbitrary 3D components with controlled features and will subsequently highlight the current limitations and future perspective of 3D printing used for cardiovascular diseases.
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Affiliation(s)
- Ranjith Kumar Kankala
- Institute of Biomaterials and Tissue Engineering, Huaqiao University, Xiamen 361021, People's Republic of China. Fujian Provincial Key Laboratory of Biochemical Technology, Xiamen 361021, People's Republic of China
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Foley TA, El Sabbagh A, Anavekar NS, Williamson EE, Matsumoto JM. 3D-Printing: Applications in Cardiovascular Imaging. CURRENT RADIOLOGY REPORTS 2017. [DOI: 10.1007/s40134-017-0239-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
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Abstract
Objective: The application of 3-D printing has been increasingly used in medicine, with research showing many applications in cardiovascular disease. This systematic review analyzes those studies published about the applications of 3-D printed, patient-specific models in cardiovascular and cerebrovascular diseases. Methods: A search of PubMed/Medline and Scopus databases was performed to identify studies investigating the 3-D printing in cardiovascular and cerebrovascular diseases. Only studies based on patient’s medical images were eligible for review, while reports on in vitro phantom or review articles were excluded. Results: A total of 48 studies met selection criteria for inclusion in the review. A range of patient-specific 3-D printed models of different cardiovascular and cerebrovascular diseases were generated in these studies with most of them being developed using cardiac CT and MRI data, less commonly with 3-D invasive angiographic or echocardiographic images. The review of these studies showed high accuracy of 3-D printed, patient-specific models to represent complex anatomy of the cardiovascular and cerebrovascular system and depict various abnormalities, especially congenital heart diseases and valvular pathologies. Further, 3-D printing can serve as a useful education tool for both parents and clinicians, and a valuable tool for pre-surgical planning and simulation. Conclusion: This systematic review shows that 3-D printed models based on medical imaging modalities can accurately replicate complex anatomical structures and pathologies of the cardiovascular and cerebrovascular system. 3-D printing is a useful tool for both education and surgical planning in these diseases.
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Garekar S, Bharati A, Chokhandre M, Mali S, Trivedi B, Changela VP, Solanki N, Gaikwad S, Agarwal V. Clinical Application and Multidisciplinary Assessment of Three Dimensional Printing in Double Outlet Right Ventricle With Remote Ventricular Septal Defect. World J Pediatr Congenit Heart Surg 2017; 7:344-50. [PMID: 27142402 DOI: 10.1177/2150135116645604] [Citation(s) in RCA: 69] [Impact Index Per Article: 9.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2015] [Accepted: 03/08/2016] [Indexed: 01/07/2023]
Abstract
BACKGROUND Double outlet right ventricle (DORV) with two well-developed ventricles and with a remote ventricular septal defect (VSD) may present a therapeutic challenge. Echocardiographic imaging of such complex cases does not always provide all of the information required to decide on an operative approach (biventricular or univentricular) and to design an intracardiac baffle to direct left ventricular outflow through the VSD and to the aorta for biventricular repair. A three dimensional (3D) printed model of the heart based upon data derived from computed tomography (CT) or magnetic resonance imaging (MRI) may contribute to a more complete appreciation of the intracardiac anatomy. METHODS From April to September 2015, six consecutive patients with DORV and remote VSD underwent CT/MRI scans. Data sets from these studies were used to generate life-size 3D models using a 3D printer. We compared the assessment of 3D printed heart model findings with information obtained from echocardiography, CT, or cardiac MRI and with details of the surgeon's intraoperative direct observations when available. Quantification of the information provided by the 3D model was achieved using a unique scale that was created for the purpose of this study. The accuracy and utility of information derived preoperatively from the models were assessed. RESULTS Six data sets from six patients were analyzed. Five data sets could be successfully used to create sandstone models using 3D printing. The five patients ranged from 7 months to 11 years of age and weighed 6.7 to 26 kg. The spatial orientation of the heart in the thorax, the relationships of the great arteries and the semilunar valves, the size and location of the VSD were well appreciated in all models, as were the anticipated dimensions and orientation of a surgically planned interventricular baffle. Three of the five patients underwent successful biventricular repair. CONCLUSION The 3D printed models scored higher than conventional imaging, with respect to most aspects of the surface spatial orientation and intracardiac anatomy. The models are a useful adjunct in preoperative assessment of complex DORV. The unique scale helps quantify the advantages and limitations of the 3D heart models.
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Affiliation(s)
- Swati Garekar
- Division of Pediatric Cardiology, Fortis Child Heart Mission, Fortis Hospital, Mumbai, India
| | - Alpa Bharati
- Department of Radiology, LTMG Hospital, Sion, Mumbai, India Department of Radiology, NM Medical Centre, Mumbai, India
| | - Manish Chokhandre
- Division of Pediatric Cardiology, Fortis Child Heart Mission, Fortis Hospital, Mumbai, India
| | - Shivaji Mali
- Division of Pediatric Cardiology, Fortis Child Heart Mission, Fortis Hospital, Mumbai, India
| | - Bhadra Trivedi
- Division of Pediatric Cardiology, Fortis Child Heart Mission, Fortis Hospital, Mumbai, India
| | - Vishal P Changela
- Division of Pediatric Cardiology, Fortis Child Heart Mission, Fortis Hospital, Mumbai, India
| | | | - Sarang Gaikwad
- Division of Pediatric Cardiology, Fortis Child Heart Mission, Fortis Hospital, Mumbai, India
| | - Vijay Agarwal
- Division of Pediatric Cardiology, Fortis Child Heart Mission, Fortis Hospital, Mumbai, India
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Bhatla P, Tretter JT, Ludomirsky A, Argilla M, Latson LA, Chakravarti S, Barker PC, Yoo SJ, McElhinney DB, Wake N, Mosca RS. Utility and Scope of Rapid Prototyping in Patients with Complex Muscular Ventricular Septal Defects or Double-Outlet Right Ventricle: Does it Alter Management Decisions? Pediatr Cardiol 2017; 38:103-114. [PMID: 27837304 DOI: 10.1007/s00246-016-1489-1] [Citation(s) in RCA: 58] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2016] [Accepted: 10/25/2016] [Indexed: 11/26/2022]
Abstract
Rapid prototyping facilitates comprehension of complex cardiac anatomy. However, determining when this additional information proves instrumental in patient management remains a challenge. We describe our experience with patient-specific anatomic models created using rapid prototyping from various imaging modalities, suggesting their utility in surgical and interventional planning in congenital heart disease (CHD). Virtual and physical 3-dimensional (3D) models were generated from CT or MRI data, using commercially available software for patients with complex muscular ventricular septal defects (CMVSD) and double-outlet right ventricle (DORV). Six patients with complex anatomy and uncertainty of the optimal management strategy were included in this study. The models were subsequently used to guide management decisions, and the outcomes reviewed. 3D models clearly demonstrated the complex intra-cardiac anatomy in all six patients and were utilized to guide management decisions. In the three patients with CMVSD, one underwent successful endovascular device closure following a prior failed attempt at transcatheter closure, and the other two underwent successful primary surgical closure with the aid of 3D models. In all three cases of DORV, the models provided better anatomic delineation and additional information that altered or confirmed the surgical plan. Patient-specific 3D heart models show promise in accurately defining intra-cardiac anatomy in CHD, specifically CMVSD and DORV. We believe these models improve understanding of the complex anatomical spatial relationships in these defects and provide additional insight for pre/intra-interventional management and surgical planning.
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Affiliation(s)
- Puneet Bhatla
- Division of Pediatric Cardiology, New York University Langone Medical Center, 401-403 East 34th Street, New York, NY, 10016, USA.
- Department of Radiology, New York University Langone Medical Center, New York, NY, USA.
| | - Justin T Tretter
- Division of Pediatric Cardiology, New York University Langone Medical Center, 401-403 East 34th Street, New York, NY, 10016, USA
| | - Achi Ludomirsky
- Division of Pediatric Cardiology, New York University Langone Medical Center, 401-403 East 34th Street, New York, NY, 10016, USA
| | - Michael Argilla
- Division of Pediatric Cardiology, New York University Langone Medical Center, 401-403 East 34th Street, New York, NY, 10016, USA
| | - Larry A Latson
- Department of Radiology, New York University Langone Medical Center, New York, NY, USA
| | - Sujata Chakravarti
- Division of Pediatric Cardiology, New York University Langone Medical Center, 401-403 East 34th Street, New York, NY, 10016, USA
| | - Piers C Barker
- Division of Pediatric Cardiology, Duke University Medical Center, Durham, NC, USA
| | - Shi-Joon Yoo
- Department of Radiology, The Hospital of Sick Children, Toronto, Canada
| | - Doff B McElhinney
- Division of Pediatric Cardiology, New York University Langone Medical Center, 401-403 East 34th Street, New York, NY, 10016, USA
- Lucille Packard Children's Hospital Stanford Heart Center Clinical and Translational Research Program, Department of Cardiothoracic Surgery, Stanford University, Palo Alto, CA, USA
| | - Nicole Wake
- Department of Radiology, Center for Advanced Imaging Innovation and Research, Bernard and Irene Schwartz Center for Biomedical Imaging, New York University Langone Medical Center, New York, NY, USA
| | - Ralph S Mosca
- Department of Cardiac Surgery, New York University Langone Medical Center, New York, NY, USA
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Cardiovascular 3D Printing. 3D Print Med 2017. [DOI: 10.1007/978-3-319-61924-8_7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022] Open
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Yoo SJ, van Arsdell GS. 3D Printing in Surgical Management of Double Outlet Right Ventricle. Front Pediatr 2017; 5:289. [PMID: 29379778 PMCID: PMC5770889 DOI: 10.3389/fped.2017.00289] [Citation(s) in RCA: 45] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2017] [Accepted: 12/18/2017] [Indexed: 02/03/2023] Open
Abstract
Double outlet right ventricle (DORV) is a heterogeneous group of congenital heart diseases that require individualized surgical approach based on precise understanding of the complex cardiovascular anatomy. Physical 3-dimensional (3D) print models not only allow fast and unequivocal perception of the complex anatomy but also eliminate misunderstanding or miscommunication among imagers and surgeons. Except for those cases showing well-recognized classic surgical anatomy of DORV such as in cases with a typical subaortic or subpulmonary ventricular septal defect, 3D print models are of enormous value in surgical decision and planning. Furthermore, 3D print models can also be used for rehearsal of the intended procedure before the actual surgery on the patient so that the outcome of the procedure is precisely predicted and the procedure can be optimally tailored for the patient's specific anatomy. 3D print models are invaluable resource for hands-on surgical training of congenital heart surgeons.
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Affiliation(s)
- Shi-Joon Yoo
- Department of Diagnostic Imaging, Hospital for Sick Children, University of Toronto, Toronto, ON, Canada.,Division of Cardiology, Department of Paediatrics, Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
| | - Glen S van Arsdell
- Division of Cardiovascular Surgery, Department of Surgery, Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
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Kappanayil M, Koneti NR, Kannan RR, Kottayil BP, Kumar K. Three-dimensional-printed cardiac prototypes aid surgical decision-making and preoperative planning in selected cases of complex congenital heart diseases: Early experience and proof of concept in a resource-limited environment. Ann Pediatr Cardiol 2017; 10:117-125. [PMID: 28566818 PMCID: PMC5431022 DOI: 10.4103/apc.apc_149_16] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/16/2023] Open
Abstract
Introduction: Three-dimensional. (3D) printing is an innovative manufacturing process that allows computer-assisted conversion of 3D imaging data into physical “printouts” Healthcare applications are currently in evolution. Objective: The objective of this study was to explore the feasibility and impact of using patient-specific 3D-printed cardiac prototypes derived from high-resolution medical imaging data (cardiac magnetic resonance imaging/computed tomography [MRI/CT]) on surgical decision-making and preoperative planning in selected cases of complex congenital heart diseases (CHDs). Materials and Methods: Five patients with complex CHD with previously unresolved management decisions were chosen. These included two patients with complex double-outlet right ventricle, two patients with criss-cross atrioventricular connections, and one patient with congenitally corrected transposition of great arteries with pulmonary atresia. Cardiac MRI was done for all patients, cardiac CT for one; specific surgical challenges were identified. Volumetric data were used to generate patient-specific 3D models. All cases were reviewed along with their 3D models, and the impact on surgical decision-making and preoperative planning was assessed. Results: Accurate life-sized 3D cardiac prototypes were successfully created for all patients. The models enabled radically improved 3D understanding of anatomy, identification of specific technical challenges, and precise surgical planning. Augmentation of existing clinical and imaging data by 3D prototypes allowed successful execution of complex surgeries for all five patients, in accordance with the preoperative planning. Conclusions: 3D-printed cardiac prototypes can radically assist decision-making, planning, and safe execution of complex congenital heart surgery by improving understanding of 3D anatomy and allowing anticipation of technical challenges.
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Affiliation(s)
- Mahesh Kappanayil
- Department of Pediatric Cardiology, Amrita Institute of Medical Sciences, Kochi, Kerala, India
| | | | - Rajesh R Kannan
- Department of Radiology, Amrita Institute of Medical Sciences, Kochi, Kerala, India
| | - Brijesh P Kottayil
- Department of Cardiothoracic Surgery, Amrita Institute of Medical Sciences, Kochi, Kerala, India
| | - Krishna Kumar
- Department of Pediatric Cardiology, Amrita Institute of Medical Sciences, Kochi, Kerala, India
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Abstract
3D-printed models fabricated from CT, MRI, or echocardiography data provide the advantage of haptic feedback, direct manipulation, and enhanced understanding of cardiovascular anatomy and underlying pathologies. Reported applications of cardiovascular 3D printing span from diagnostic assistance and optimization of management algorithms in complex cardiovascular diseases, to planning and simulating surgical and interventional procedures. The technology has been used in practically the entire range of structural, valvular, and congenital heart diseases, and the added-value of 3D printing is established. Patient-specific implants and custom-made devices can be designed, produced, and tested, thus opening new horizons in personalized patient care and cardiovascular research. Physicians and trainees can better elucidate anatomical abnormalities with the use of 3D-printed models, and communication with patients is markedly improved. Cardiovascular 3D bioprinting and molecular 3D printing, although currently not translated into clinical practice, hold revolutionary potential. 3D printing is expected to have a broad influence in cardiovascular care, and will prove pivotal for the future generation of cardiovascular imagers and care providers. In this Review, we summarize the cardiovascular 3D printing workflow, from image acquisition to the generation of a hand-held model, and discuss the cardiovascular applications and the current status and future perspectives of cardiovascular 3D printing.
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Abstract
PURPOSE OF REVIEW Spurred by numerous recent technological advances, cardiac MRI (CMR) is now the gold standard for anatomic evaluation, quantitative assessment of chamber size and function, flow quantification, and tissue characterization. This review focuses on recent advances in pediatric and congenital CMR, highlighting recent safety data, and discussing future directions. RECENT FINDINGS CMR has become an important component of risk stratification and procedural planning in numerous congenital and pediatric heart diseases. Innovative approaches to image acquisition and reconstruction are leading the way toward fast, high-resolution, three- and four-dimensional datasets for delineation of cardiac anatomy, function, and flow. In addition, techniques for assessing the composition of the myocardium may help elucidate the pathophysiology of late complications, identify patients at risk for heart failure, and assist in the evaluation of therapeutic strategies. SUMMARY CMR provides invaluable morphologic, hemodynamic, and functional data that help guide diagnosis, assessment, and management of pediatric and adult congenital heart disease. As imaging techniques advance and data accumulate on the relative and additive value of CMR in patient care, its role in a multimodality approach to the care of this population of patients is becoming clear and is likely to continue to evolve.
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