3.8 Article

Clinical 3D modeling to guide pediatric cardiothoracic surgery and intervention using 3D printed anatomic models, computer aided design and virtual reality

Journal

3D PRINTING IN MEDICINE
Volume 8, Issue 1, Pages -

Publisher

SPRINGERNATURE
DOI: 10.1186/s41205-022-00137-9

Keywords

Congenital heart disease; Surgical planning; Imaging; Magnetic resonance imaging; 3D printing; Virtual reality; Computer aided design; Pediatric cardiology; Cardiothoracic surgery; Cardiac catheterization

Funding

  1. National Institutes of Health Institutional Training Grant [T32GM008562]
  2. National Institutes of Health [R01 HL153166]
  3. CHOP Cardiac Center Research Grant

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This study reviewed the growth and development of a clinical 3D modeling service in a high-volume pediatric heart center. The results showed that the demand for clinical modeling tripled over a 3-year period and that 3D modeling was highly valued by surgeons and interventionalists for procedural planning in congenital heart disease cases.
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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