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REVIEW article

Front. Cardiovasc. Med.
Sec. Cardiovascular Surgery
Volume 11 - 2024 | doi: 10.3389/fcvm.2024.1485267

Application of Three-Dimensional Printing in the Planning and Execution of Aortic Aneurysm Repair

Provisionally accepted
  • 1 Western Michigan University Homer Stryker M.D. School of Medicine, Kalamazoo, United States
  • 2 University of Colorado, Denver, Colorado, United States
  • 3 Southern Illinois University, Springfield, United States

The final, formatted version of the article will be published soon.

    Introduction: The accuracy of fenestrations in stent-grafts for complex aortic aneurysms and dissections can be significantly improved using 3D printed phantoms. Standardization is enhanced by using artificial intelligence (AI) for image pre-processing prior to 3D printing. These methods address fallacies in centerline image analysis and manual image pre-processing. This review examines the application of 3D printing and AI in complex aortic aneurysm repair, highlighting current clinical trends.Methods: An exhaustive literature review was performed using keywords like "3D printing", "Artificial intelligence", "Thoracoabdominal aneurysm", "Abdominal aortic aneurysm", "Aortic arch aneurysm", "Endovascular repair", "Open repair" in PubMed and Google Scholar indexes up to June 2022.Results: This analysis included seven studies: four focused on 3D printed phantoms for endovascular repair of various aortic pathologies (aortic arch, thoracoabdominal aorta, juxtarenal and pararenal aorta), one on open thoracoabdominal aneurysm (TAAA) repair using 3D printed models for graft construction, and two on the use of convolutional neural networks (CNN), an AI based technology, for pre-processing of aortic computed tomography angiography (CTA) images.The application of 3D printing and AI-based image pre-processing in planning of complex aortic aneurysm offers several benefits, including enhanced patient and trainee education, more accurate fenestration placement, reduced surgical time and complications, and decreased surgeon stress.

    Keywords: Endovascular aneurysm repair, 3D phantoms, artificial intelligence, Thoracoabdominal aortic aneurysms, physician-modified endovascular grafts

    Received: 23 Aug 2024; Accepted: 30 Dec 2024.

    Copyright: © 2024 Patel, Choi, Ku, Vergara, Malgor, Patel and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Yong Li, Western Michigan University Homer Stryker M.D. School of Medicine, Kalamazoo, United States

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.