Unknown

Dataset Information

0

Artificial vascular models for endovascular training (3D printing).


ABSTRACT: The endovascular technique has led to a revolution in the care of patients with vascular disease; however, acquiring and maintaining proficiency over a broad spectrum of procedures is challenging. Three-dimensional (3D) printing technology allows the production of models that can be used for endovascular training. This article aims to explain the process and technologies available to produce vascular models for endovascular training, using 3D printing technology. The data are based on the group experience and a review of the literature. Different 3D printing methods are compared, describing their advantages, disadvantages and potential roles in surgical training. The process of 3D printing a vascular model based on an imaging examination consists of the following steps: image acquisition, image post-processing, 3D printing and printed model post-processing. The entire process can take a week. Prospective studies have shown that 3D printing can improve surgical planning, especially in complex endovascular procedures, and allows the production of efficient simulators for endovascular training, improving residents' surgical performance and self-confidence.

SUBMITTER: Torres I 

PROVIDER: S-EPMC6604582 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature

altmetric image

Publications

Artificial vascular models for endovascular training (3D printing).

Torres Inez I   De Luccia Nelson N  

Innovative surgical sciences 20180811 3


The endovascular technique has led to a revolution in the care of patients with vascular disease; however, acquiring and maintaining proficiency over a broad spectrum of procedures is challenging. Three-dimensional (3D) printing technology allows the production of models that can be used for endovascular training. This article aims to explain the process and technologies available to produce vascular models for endovascular training, using 3D printing technology. The data are based on the group  ...[more]

Similar Datasets

| S-EPMC4981149 | biostudies-other
| S-EPMC10730511 | biostudies-literature
| S-EPMC8878064 | biostudies-literature
| S-EPMC9295047 | biostudies-literature
| S-EPMC5408980 | biostudies-literature
| S-EPMC7678976 | biostudies-literature
| S-EPMC6462944 | biostudies-literature
| S-EPMC11312310 | biostudies-literature
| S-EPMC10491519 | biostudies-literature
| S-EPMC7317697 | biostudies-literature