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High-resolution 3D reconstructions of human vasculatures: creation of educational tools and benchtop models for transcatheter devices

Authors :
Paul A. Iaizzo
Kendall Emfield
Tinen L. Iles
Mikayle A. Holm
Source :
Cardiovascular Intervention and Therapeutics. 37:519-525
Publication Year :
2021
Publisher :
Springer Science and Business Media LLC, 2021.

Abstract

Transcatheter therapies are a common way to treat cardiovascular diseases. These therapies are complicated by significant anatomical patient-to-patient variations that exist in terms of transcatheter vascular pathways. Adding to the complexity of transcatheter procedures, the training tools used for physician education often overlook vast patient-to-patient variations and utilize idealized models of patient anatomy that may be unrealistic. In this study, anatomically accurate models were created from high-resolution images of real patient vasculatures. Using fourteen human cadavers donated for research, we collected high-resolution images to generate 3D computational renderings of various patient anatomies. These models make up the “Transcatheter Pathways Vasculature Database” that can be used for physician education and training, as well as improving transcatheter delivery system design. We performed multiple studies that emphasize the anatomical differences that exist in patient vasculatures. Using 3D printing and virtual reality, we developed educational materials and benchtop models to train physicians using true patient anatomies. These tools can also provide device designers with data to improve their products based on real patient vessels. The “Transcatheter Pathways Vasculature Database” highlights differences between patient vasculatures. By educating and training physicians with patient anatomies that accurately represent significant patient-to-patient variations, learning is more translatable to what is seen in the clinic.

Details

ISSN :
18684297 and 18684300
Volume :
37
Database :
OpenAIRE
Journal :
Cardiovascular Intervention and Therapeutics
Accession number :
edsair.doi...........037aaab2c871105034e2fe186c7f096c
Full Text :
https://doi.org/10.1007/s12928-021-00804-4