1. Feasibility and accuracy of printed models of complex cardiac defects in small infants from cardiac computed tomography
- Author
-
Aitor Guitarte, Yves Dulac, Philippe Acar, Xavier Alacoque, Clément Karsenty, Jerome Briot, and Khaled Hadeed
- Subjects
Cardiac computed tomography ,medicine.diagnostic_test ,Heart disease ,business.industry ,Ultrasound ,Computed tomography ,medicine.disease ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,0302 clinical medicine ,Pediatrics, Perinatology and Child Health ,Conotruncal defect ,Cardiac defects ,medicine ,Radiology, Nuclear Medicine and imaging ,Cardiac skeleton ,Nuclear medicine ,business ,030217 neurology & neurosurgery ,Neuroradiology - Abstract
Three-dimensional (3-D) printed models are increasingly used to enhance understanding of complex anatomy in congenital heart disease. To assess feasibility and accuracy of 3-D printed models obtained from cardiac CT scans in young children with complex congenital heart diseases. 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). 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. 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.
- Published
- 2021
- Full Text
- View/download PDF