MRI-based training model for left atrial appendage closure.

LAA closure Training model Transseptal puncture

Journal

International journal of computer assisted radiology and surgery
ISSN: 1861-6429
Titre abrégé: Int J Comput Assist Radiol Surg
Pays: Germany
ID NLM: 101499225

Informations de publication

Date de publication:
Nov 2023
Historique:
received: 05 01 2023
accepted: 09 03 2023
pubmed: 31 3 2023
medline: 31 3 2023
entrez: 30 3 2023
Statut: ppublish

Résumé

Percutaneous closure of the left atrial appendage (LAA) reduces the risk of embolic stroke in patients with atrial fibrillation. Thereby, the optimal transseptal puncture (TSP) site differs due to the highly variable anatomical shape of the LAA, which is rarely considered in existing training models. Based on non-contrast-enhanced magnetic resonance imaging (MRI) volumes, we propose a training model for LAA closure with interchangeable and patient-specific LAA enabling LAA-specific identification of the TSP site best suited. Based on patient-specific MRI data, silicone models of the LAAs were produced using a 3D-printed cast model. In addition, an MRI-derived 3D-printed base model was set up, including the right and left atrium with predefined passages in the septum, mimicking multiple TSP sites. The various silicone models and a tube mimicking venous access were connected to the base model. Empirical use of the model allowed the demonstration of its usability. Patient-specific silicone models of the LAA could be generated from all LAA patient MRI datasets. The influence of various combinations regarding TSP sites and LAA shapes could be demonstrated as well as the technical functionality of the occluder system. Via the attached tube mimicking the venous access, the correct handling of the deployment catheter even in case of not optimal puncture site could be practiced. The proposed contrast-agent and radiation-free MRI-based training model for percutaneous LAA closure enables the pre-interventional assessment of the influence of the TSP site on the access of patient-specific LAA shapes. A straightforward replication of this work is measured by using clinically available imaging protocols and a widespread 3D printer technique to build the model.

Identifiants

pubmed: 36997829
doi: 10.1007/s11548-023-02870-w
pii: 10.1007/s11548-023-02870-w
pmc: PMC10589139
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2111-2116

Subventions

Organisme : Bundesministerium für Bildung und Forschung
ID : 13GW0372C

Informations de copyright

© 2023. The Author(s).

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Auteurs

Dagmar Bertsche (D)

Department of Internal Medicine II, Ulm University Medical Center, Ulm, Germany.

Mona Pfisterer (M)

Department of Internal Medicine II, Ulm University Medical Center, Ulm, Germany.

Tillman Dahme (T)

Department of Internal Medicine II, Ulm University Medical Center, Ulm, Germany.

Leonhard-Moritz Schneider (LM)

Department of Internal Medicine II, Ulm University Medical Center, Ulm, Germany.

Patrick Metze (P)

Department of Internal Medicine II, Ulm University Medical Center, Ulm, Germany.

Ina Vernikouskaya (I)

Department of Internal Medicine II, Ulm University Medical Center, Ulm, Germany.

Volker Rasche (V)

Department of Internal Medicine II, Ulm University Medical Center, Ulm, Germany. volker.rasche@uni-ulm.de.

Classifications MeSH