Abstract

To facilitate pre-clinical animal and in-silico clinical trials for implantable pulmonary artery pressure sensors, understanding the respective species pulmonary arteries (PA) anatomy is important. Thus, morphological parameters describing PA of pigs and sheep, which are common animal models, were compared with humans. Retrospective computed tomography data of 41 domestic pigs (82.6 ± 18.8 kg), 14 sheep (49.1 ± 6.9 kg), and 49 patients (76.8 ± 18.2 kg) were used for reconstruction of the subject-specific PA anatomy. 3D surface geometries including main, left, and right PA as well as LPA and RPA side branches were manually reconstructed. Then, specific geometric parameters (length, diameters, taper, bifurcation angle, curvature, and cross-section enlargement) affecting device implantation and post-interventional device effect and efficacy were automatically calculated. For both animal models, significant differences to the human anatomy for most geometric parameters were found, even though the respective parameters’ distributions also featured relevant overlap. Out of the two animal models, sheep seem to be better suitable for a preclinical study when considering only PA morphology. Reconstructed geometries are provided as open data for future studies. These findings support planning of preclinical studies and will help to evaluate the results of animal trials.

Details

Title
CT-based comparison of porcine, ovine, and human pulmonary arterial morphometry
Author
Goubergrits, Leonid 1 ; Schafstedde, Marie 1 ; Cesarovic, Nikola 2 ; Szengel, Angelika 3 ; Schmitt, Boris 1 ; Wiegand, Moritz 1 ; Romberg, Jan 4 ; Arndt, Andreas 4 ; Kuehne, Titus 1 ; Brüning, Jan 1 

 Deutsches Herzzentrum Der Charité (DHZC), Institute of Computer-Assisted Cardiovascular Medicine, Berlin, Germany (GRID:grid.418209.6) (ISNI:0000 0001 0000 0404); Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, Germany (GRID:grid.6363.0) (ISNI:0000 0001 2218 4662) 
 ETH Zurich, Department of Health Sciences and Technology, Zurich, Switzerland (GRID:grid.5801.c) (ISNI:0000 0001 2156 2780) 
 1000Shapes GmbH, Berlin, Germany (GRID:grid.5801.c) 
 Biotronik, Berlin, Germany (GRID:grid.467249.a) (ISNI:0000 0004 0389 1291) 
Pages
20211
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2892063884
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.