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Feasibility and accuracy of printed models of complex cardiac defects in small infants from cardiac computed tomography
- Source :
- Pediatric Radiology. 51:1983-1990
- Publication Year :
- 2021
- Publisher :
- Springer Science and Business Media LLC, 2021.
-
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.
- 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
Subjects
Details
- ISSN :
- 14321998 and 03010449
- Volume :
- 51
- Database :
- OpenAIRE
- Journal :
- Pediatric Radiology
- Accession number :
- edsair.doi...........a6e464c3863f5a80cb634f1cae40d543
- Full Text :
- https://doi.org/10.1007/s00247-021-05110-y