- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04788082
Clinical Impact of Rapid Prototyping 3D Models for Surgical Management
Clinical Impact of Rapid Prototyping 3D Models of Congenital Heart Disease on Surgical Management
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
3D imaging and rapid prototyping 3D printing technology have advanced to the point where it is feasible to marry the two to produce a patient-matched and accurate 3D model of congenital heart defects. The production of a 3D model of the heart may be particularly useful in anticipation of surgery such that the operator can plan and visualize the surgery prior to the surgical date with a physical heart he or she can manipulate in their hands.
Preliminary studies demonstrate potential for clinical impact of 3D models on patient care and patient outcomes. 3D models have long been shown to enhance education and communication of anatomy. In 2008 Kim et al reviewed 3D printed models as an emerging technology in management of congenital heart disease, and also suggests that physical models may also help enhance patients and physicians' understanding of congenital heart disease. Our group has also published on the clinical and educational value of these 3D heart models. To date, no systematic trial identifying the value of 3D models on procedural planning has been published.
Study Type
Phase
- Not Applicable
Contacts and Locations
Study Locations
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Arizona
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Phoenix, Arizona, United States, 85016
- Phoenix Children's Hospital
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District of Columbia
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Washington, District of Columbia, United States, 20010
- Children's National Medical Center
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Pennsylvania
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Philadelphia, Pennsylvania, United States, 19104
- Children's Hospital of Philadelphia
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
Pediatric subjects undergoing primary complex two-ventricle repair of congenital heart defect, including but not limited to:
- double outlet right ventricle (DORV),
- transposition of the great arteries with ventricular septal defect and pulmonary stenosis (TGA/VSD/PS),
- truncus arteriosus with ventricular septal defect (TA/VSD)
- congenitally corrected transposition of the arteries with pulmonary stenosis (CCTGA/PS).
Patient who will undergo preoperative cardiac MR or cardiac CT imaging
a. Images will be validated by the IRC prior to inclusion
- Written informed consent (and assent when applicable) and HIPAA authorization obtained from subject or subject's legal representative and ability for subject to comply with the requirements of the study.
Exclusion Criteria:
Complex defects involving atrioventricular valve anomalies
- complete or transitional atrioventricular canal
- double inlet left ventricle
- tricuspid atresia
- mitral atresia
- Defects with valve dysfunction requiring an extensive valvuloplasty
Patients with a contraindication to MRI scanning will be excluded unless they are referred for a cardiac CT per clinical standard of practice. These contraindications include patients with the following devices:
- Central nervous system aneurysm clips
- Implanted neural stimulator
- Implanted cardiac pacemaker or defibrillator which are not MR safe or MR conditional according to the manufacturer
- Cochlear implant
- Ocular foreign body (e.g. metal shavings)
- Implanted Insulin pump
- Metal shrapnel or bullet.
- Any contraindications to receiving IV gadolinium contrast, determined clinically
- Subjects where MRI or CT images are acquired more than six months prior to the scheduled surgical date
- Subjects where date of scan to date of surgery is less than 10 calendar days
- Subjects where MRI or CT reconstruction is limited due to poor image acquisition as solely determined by the Image Reconstruction Center.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Treatment
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Single
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
No Intervention: Control
Standard of care (not involving 3D printing)
|
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Experimental: 3D Model
3D printed models (at least one rigid blood volume model and one flexible shell model) will be used for surgical planning.
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Prior to surgical intervention, the surgeon will be exposed to clinically-indicated images and a patient-specific 3D printed model of the subject's heart anatomy.
Other Names:
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Time Frame |
---|---|
Time under cardiopulmonary bypass
Time Frame: peri-operative
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peri-operative
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Mortality
Time Frame: Up to 30 days post-operative
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Up to 30 days post-operative
|
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Intraoperative death or intraprocedural death
Time Frame: peri-operative
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peri-operative
|
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Unexpected Cardiac arrest during or following procedure
Time Frame: From surgical date through 30 days post-operative
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From surgical date through 30 days post-operative
|
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Bleeding, Requiring reoperation
Time Frame: From surgical date through 30 days post-operative
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From surgical date through 30 days post-operative
|
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Sternum left open, Unplanned
Time Frame: From surgical date through 30 days post-operative
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From surgical date through 30 days post-operative
|
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Unplanned cardiac reoperation
Time Frame: From surgical date through 30 days post-operative
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From surgical date through 30 days post-operative
|
|
Unplanned non-cardiac reoperation
Time Frame: From surgical date through 30 days post-operative
|
From surgical date through 30 days post-operative
|
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Mechanical circulatory support (IABP, VAD, ECMO, or CPS)
Time Frame: From surgical date through 30 days post-operative
|
Answer "yes"/"no"
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From surgical date through 30 days post-operative
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Arrhythmia necessitating pacemaker, Permanent pacemaker
Time Frame: From surgical date through 30 days post-operative
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From surgical date through 30 days post-operative
|
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Renal failure (discharge dialysis)
Time Frame: From surgical date through 30 days post-operative
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acute renal failure, Acute renal failure requiring dialysis at the time of hospital discharge
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From surgical date through 30 days post-operative
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Renal failure (temporary dialysis)
Time Frame: From surgical date through 30 days post-operative
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acute renal failure, Acute renal failure requiring temporary dialysis with the need for dialysis not present at hospital discharge
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From surgical date through 30 days post-operative
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Renal failure (hemofiltration)
Time Frame: From surgical date through 30 days post-operative
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acute renal failure, Acute renal failure requiring temporary hemofiltration with the need for dialysis not present at hospital discharge
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From surgical date through 30 days post-operative
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Sepsis
Time Frame: From surgical date through 30 days post-operative
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Sepsis (following Society of Thoracic Surgery definition)
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From surgical date through 30 days post-operative
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Seizure
Time Frame: From surgical date through 30 days post-operative
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Seizure (following Society of Thoracic Surgery definition)
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From surgical date through 30 days post-operative
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Stroke
Time Frame: From surgical date through 30 days post-operative
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Stroke (following Society of Thoracic Surgery definition)
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From surgical date through 30 days post-operative
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Vocal cord dysfunction (possible recurrent laryngeal nerve injury)
Time Frame: From surgical date through 30 days post-operative
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From surgical date through 30 days post-operative
|
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Other operative/procedural complication
Time Frame: From surgical date through 30 days post-operative
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Other operative/procedural complication (following Society of Thoracic Surgery definition)
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From surgical date through 30 days post-operative
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Technology Assessment
Time Frame: Preop, Periop, and up to 30 days a
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A survey will be given to the surgeons assessing technology acceptance of the 3D printed heart models
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Preop, Periop, and up to 30 days a
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Collaborators and Investigators
Investigators
- Principal Investigator: Laura Olivieri, MD, Children's National Research Institute
- Principal Investigator: Stephen Pophal, MD, Phoenix Children's Hospital
- Principal Investigator: Yoav Dori, MD, Children's Hospital of Philadelphia
Publications and helpful links
General Publications
- Cardoen B, Demeulemeester E, Beliën J. Operating room planning and scheduling: A literature review. European Journal of Operational Research 201(3): 921-932, 2010.
- Costello JP, Olivieri LJ, Krieger A, Thabit O, Marshall MB, Yoo SJ, Kim PC, Jonas RA, Nath DS. Utilizing Three-Dimensional Printing Technology to Assess the Feasibility of High-Fidelity Synthetic Ventricular Septal Defect Models for Simulation in Medical Education. World J Pediatr Congenit Heart Surg. 2014 Jul;5(3):421-6. doi: 10.1177/2150135114528721.
- Costello JP, Olivieri LJ, Su L, Krieger A, Alfares F, Thabit O, Marshall MB, Yoo SJ, Kim PC, Jonas RA, Nath DS. Incorporating three-dimensional printing into a simulation-based congenital heart disease and critical care training curriculum for resident physicians. Congenit Heart Dis. 2015 Mar-Apr;10(2):185-90. doi: 10.1111/chd.12238. Epub 2014 Nov 11.
- Cui X, Boland T, D'Lima DD, Lotz MK. Thermal inkjet printing in tissue engineering and regenerative medicine. Recent Pat Drug Deliv Formul. 2012 Aug;6(2):149-55. Review.
- Davis FD, Bagozzi RP, Warshaw PR. User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science 35(8): 982-1003, 1989.
- Dexter F, Macario A. Changing allocations of operating room time from a system based on historical utilization to one where the aim is to schedule as many surgical cases as possible. Anesth Analg. 2002 May;94(5):1272-9, table of contents.
- Does RJMM, Vermaat TMB, Verver JPS, Bisgaard S, Van Den Heuvel J. Reducing Start Time Delays in Operating Rooms. Journal of Quality Technology 41(1): 95-109, 2009.
- Ejaz F, Ryan J, Henriksen M, Stomski L, Feith M, Osborn M, Pophal S, Richardson R, Frakes D. Color-coded patient-specific physical models of congenital heart disease. Rapid Prototyping Journal 20(4): 336-343, 2014.
- Gelijns AC, Moskowitz AJ, Acker MA, Argenziano M, Geller NL, Puskas JD, Perrault LP, Smith PK, Kron IL, Michler RE, Miller MA, Gardner TJ, Ascheim DD, Ailawadi G, Lackner P, Goldsmith LA, Robichaud S, Miller RA, Rose EA, Ferguson TB Jr, Horvath KA, Moquete EG, Parides MK, Bagiella E, O'Gara PT, Blackstone EH; Cardiothoracic Surgical Trials Network (CTSN). Management practices and major infections after cardiac surgery. J Am Coll Cardiol. 2014 Jul 29;64(4):372-81. doi: 10.1016/j.jacc.2014.04.052.
- Hu A, Wilson T, Ladak H, Haase P, Doyle P, Fung K. Evaluation of a three-dimensional educational computer model of the larynx: voicing a new direction. J Otolaryngol Head Neck Surg. 2010 Jun;39(3):315-22.
- Kim MS, Hansgen AR, Wink O, Quaife RA, Carroll JD. Rapid prototyping: a new tool in understanding and treating structural heart disease. Circulation. 2008 May 6;117(18):2388-94. doi: 10.1161/CIRCULATIONAHA.107.740977. Review.
- King WR, He J. A meta-analysis of the technology acceptance model. Information & Management 43(6): 740-755, 2006.
- Kutty S, Graney BA, Khoo NS, Li L, Polak A, Gribben P, Hammel JM, Smallhorn JF, Danford DA. Serial assessment of right ventricular volume and function in surgically palliated hypoplastic left heart syndrome using real-time transthoracic three-dimensional echocardiography. J Am Soc Echocardiogr. 2012 Jun;25(6):682-9. doi: 10.1016/j.echo.2012.02.008. Epub 2012 Mar 14.
- Lang RM, Badano LP, Tsang W, Adams DH, Agricola E, Buck T, Faletra FF, Franke A, Hung J, de Isla LP, Kamp O, Kasprzak JD, Lancellotti P, Marwick TH, McCulloch ML, Monaghan MJ, Nihoyannopoulos P, Pandian NG, Pellikka PA, Pepi M, Roberson DA, Shernan SK, Shirali GS, Sugeng L, Ten Cate FJ, Vannan MA, Zamorano JL, Zoghbi WA; American Society of Echocardiography; European Association of Echocardiography. EAE/ASE recommendations for image acquisition and display using three-dimensional echocardiography. J Am Soc Echocardiogr. 2012 Jan;25(1):3-46. doi: 10.1016/j.echo.2011.11.010.
- Mavroudis C, Backer C, Idriss RF. Pediatric Cardiac Surgery, 4 edition. Hoboken, NJ, Wiley-Blackwell, 2012.
- Moreno Cegarra JL, Cegarra Navarro JG, Córdoba Pachón JR. Applying the technology acceptance model to a Spanish City Hall. International Journal of Information Management 34(4): 437-445, 2014.
- Mottl-Link S, Hübler M, Kühne T, Rietdorf U, Krueger JJ, Schnackenburg B, De Simone R, Berger F, Juraszek A, Meinzer HP, Karck M, Hetzer R, Wolf I. Physical models aiding in complex congenital heart surgery. Ann Thorac Surg. 2008 Jul;86(1):273-7. doi: 10.1016/j.athoracsur.2007.06.001.
- O'Brien PC, Fleming TR. A multiple testing procedure for clinical trials. Biometrics. 1979 Sep;35(3):549-56.
- Olivieri L, Krieger A, Chen MY, Kim P, Kanter JP. 3D heart model guides complex stent angioplasty of pulmonary venous baffle obstruction in a Mustard repair of D-TGA. Int J Cardiol. 2014 Mar 15;172(2):e297-8. doi: 10.1016/j.ijcard.2013.12.192. Epub 2014 Jan 8.
- Ryan JR, Moe TG, Richardson R, Frakes DH, Nigro JJ, Pophal S. A novel approach to neonatal management of tetralogy of Fallot, with pulmonary atresia, and multiple aortopulmonary collaterals. JACC Cardiovasc Imaging. 2015 Jan;8(1):103-104. doi: 10.1016/j.jcmg.2014.04.030. Epub 2014 Nov 12.
- Sodian R, Weber S, Markert M, Rassoulian D, Kaczmarek I, Lueth TC, Reichart B, Daebritz S. Stereolithographic models for surgical planning in congenital heart surgery. Ann Thorac Surg. 2007 May;83(5):1854-7.
- Weidenbach M, Rázek V, Wild F, Khambadkone S, Berlage T, Janousek J, Marek J. Simulation of congenital heart defects: a novel way of training in echocardiography. Heart. 2009 Apr;95(8):636-41. doi: 10.1136/hrt.2008.156919. Epub 2009 Jan 8.
- Wypij D, Newburger JW, Rappaport LA, duPlessis AJ, Jonas RA, Wernovsky G, Lin M, Bellinger DC. The effect of duration of deep hypothermic circulatory arrest in infant heart surgery on late neurodevelopment: the Boston Circulatory Arrest Trial. J Thorac Cardiovasc Surg. 2003 Nov;126(5):1397-403. doi: 10.1016/s0022-5223(03)00940-1.
- Yarbrough AK, Smith TB. Technology acceptance among physicians: a new take on TAM. Med Care Res Rev. 2007 Dec;64(6):650-72. Epub 2007 Aug 23. Review.
Helpful Links
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Anticipated)
Study Completion (Anticipated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
- Heart Diseases
- Cardiovascular Diseases
- Congenital Abnormalities
- Heart Defects, Congenital
- Cardiovascular Abnormalities
- Heart Septal Defects
- Heart Septal Defects, Ventricular
- Transposition of Great Vessels
- Double Outlet Right Ventricle
- Congenitally Corrected Transposition of the Great Arteries
- Situs Inversus
Other Study ID Numbers
- 15-090
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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