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.

背景：梗死后室间隔缺损（Post-infarct Ventricular Septal Defect, PIVSD）是心肌梗死的严重并发症。本研究评估了3D打印模型在PIVSD临床评估中的应用价值，以及统计形状建模（Statistical Shape Modeling, SSM）用于缺损形态学分析的可行性。方法：研究团队对15例基于计算机断层扫描（Computed Tomography, CT）数据重建的模型开展临床评估，评估者为8名临床医师；同时通过3D网格开展统计形状建模，以计算缺损的平均形态学构型。结果：临床医师的评估结果显示，此类模型可清晰展示缺损情况，适用于介入/手术规划、教学培训以及器械研发，但无法呈现动态变化过程。形态学分析具备可行性，结果显示缺损可分为椭圆形（12例）与复杂通道状（3例）两类。结论：3D打印PIVSD模型可作为影像学数据的补充，用于教学与操作规划；在此场景下，统计形状建模具备实际应用可行性。