Assessment of post-infarct ventricular septal defects through 3D printing and statistical shape analysis: Supplementary table

Background: Post-infarct ventricular septal defect (PIVSD) is a serious complication of myocardial

infarction. We evaluated 3D-printing models in PIVSD clinical assessment and the feasibility of statistical

shape modeling for morphological analysis of the defects. Methods: Models (n = 15) reconstructed

from computed tomography data were evaluated by clinicians (n = 8). Statistical shape modeling was

performed on 3D meshes to calculate the mean morphological configuration of the defects. Results:

Clinicians’ evaluation highlighted the models’ utility in displaying defects for interventional/surgical

planning, education/training and device development. However, models lack dynamic representation.

Morphological analysis was feasible and revealed oval-shaped (n = 12) and complex channel-like (n = 3)

defects. Conclusion: 3D-PIVSD models can complement imaging data for teaching and procedural

planning. Statistical shape modeling is feasible in this scenario.