Nevin Manimala Statistics

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

J 3D Print Med. 2023 Mar;7(1):3DP3. doi: 10.2217/3dp-2022-0012. Epub 2023 Jan 18.


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.

PMID:36911812 | PMC:PMC9990116 | DOI:10.2217/3dp-2022-0012

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