Asif Ashar, Shearn Andrew Iu, Turner Mark S, Ordoñez Maria V, Sophocleous Froso, Mendez-Santos Ana, Valverde Israel, Angelini Gianni D, Caputo Massimo, Hamilton Mark Ck, Biglino Giovanni
Bristol Medical School, University of Bristol, Bristol Royal Infirmary, Upper Maudlin St, Bristol, BS2 8HW, UK.
Bristol Heart Institute, Bristol Royal Infirmary, Upper Maudlin St, Bristol, BS2 8HW, UK.
J 3D Print Med. 2023 Mar;7(1):3DP3. doi: 10.2217/3dp-2022-0012. Epub 2023 Jan 18.
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.
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.
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.
3D-PIVSD models can complement imaging data for teaching and procedural planning. Statistical shape modeling is feasible in this scenario.
心肌梗死后室间隔缺损(PIVSD)是心肌梗死的一种严重并发症。我们评估了3D打印模型在PIVSD临床评估中的作用以及统计形状建模用于缺损形态分析的可行性。
由计算机断层扫描数据重建的模型(n = 15)由临床医生(n = 8)进行评估。对3D网格进行统计形状建模以计算缺损的平均形态结构。
临床医生的评估突出了模型在为介入/手术规划、教育/培训和器械研发展示缺损方面的效用。然而,模型缺乏动态展示。形态分析是可行的,并且揭示出椭圆形缺损(n = 12)和复杂的通道样缺损(n = 3)。
3D-PIVSD模型可补充成像数据用于教学和操作规划。在这种情况下,统计形状建模是可行的。