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      A patient-specific multi-modality abdominal aortic aneurysm imaging phantom

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          Abstract

          Purpose

          Multimodality imaging of the vascular system is a rapidly growing area of innovation and research, which is increasing with awareness of the dangers of ionizing radiation. Phantom models that are applicable across multiple imaging modalities facilitate testing and comparisons in pre-clinical studies of new devices. Additionally, phantom models are of benefit to surgical trainees for gaining experience with new techniques. We propose a temperature-stable, high-fidelity method for creating complex abdominal aortic aneurysm phantoms that are compatible with both radiation-based, and ultrasound-based imaging modalities, using low cost materials.

          Methods

          Volumetric CT data of an abdominal aortic aneurysm were acquired. Regions of interest were segmented to form a model compatible with 3D printing. The novel phantom fabrication method comprised a hybrid approach of using 3D printing of water-soluble materials to create wall-less, patient-derived vascular structures embedded within tailored tissue-mimicking materials to create realistic surrounding tissues. A non-soluble 3-D printed spine was included to provide a radiological landmark.

          Results

          The phantom was found to provide realistic appearances with intravascular ultrasound, computed tomography and transcutaneous ultrasound. Furthermore, the utility of this phantom as a training model was demonstrated during a simulated endovascular aneurysm repair procedure with image fusion.

          Conclusion

          With the hybrid fabrication method demonstrated here, complex multimodality imaging patient-derived vascular phantoms can be successfully fabricated. These have potential roles in the benchtop development of emerging imaging technologies, refinement of novel minimally invasive surgical techniques and as clinical training tools.

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          Most cited references24

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          The Society for Vascular Surgery practice guidelines on the care of patients with an abdominal aortic aneurysm.

          Decision-making related to the care of patients with an abdominal aortic aneurysm (AAA) is complex. Aneurysms present with varying risks of rupture, and patient-specific factors influence anticipated life expectancy, operative risk, and need to intervene. Careful attention to the choice of operative strategy along with optimal treatment of medical comorbidities is critical to achieving excellent outcomes. Moreover, appropriate postoperative surveillance is necessary to minimize subsequent aneurysm-related death or morbidity.
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            The risk of rupture in untreated aneurysms: the impact of size, gender, and expansion rate.

            The purpose of this study was to establish the risk of rupture as related to size of abdominal aortic aneurysm (AAA), gender, and expansion of the aneurysm. Between 1976 and 2001, 476 patients with conditions considered unfit for surgery with AAA 5.0 cm or more were followed with computed tomographic scans every 6 months until rupture, surgery, death, or deletion from follow-up. Surgery was performed for rupture (n = 22), improved medical condition (n = 37), increase in size (n = 95), symptoms (n = 17), and other reasons (n = 24). Fifty ruptures occurred during the follow-up period. The average risk of rupture (and standard error) in male patients with 5.0-cm to 5.9-cm AAA was 1.0% (0.01%) per year, in female patients with 5.0-cm to 5.9-cm AAA was 3.9% (0.15%) per year, in male patients with 6.0-cm or greater AAA was 14.1% (0.18%) per year, and in female patients with 6.0-cm or greater AAA was 22.3% (0.95%) per year. The risk of rupture in male patients with AAA 5.0 to 5.9 cm is low. The four-time higher risk of rupture in female patients with AAA 5.0 to 5.9 cm suggests a lower threshold for surgery be considered in fit women. The data regarding risk of rupture in patients with AAA 6.0 cm or more may allow more appropriate decision analysis for surgery in patients with unfit conditions with large AAA.
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              A simulator for training in endovascular aneurysm repair: The use of three dimensional printers

              To develop an endovascular aneurysm repair (EVAR) simulation system using three dimensional (3D) printed aneurysms, and to evaluate the impact of patient specific training prior to EVAR on the surgical performance of vascular surgery residents in a university hospital in Brazil.
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                Author and article information

                Contributors
                a.desjardins@ucl.ac.uk
                Journal
                Int J Comput Assist Radiol Surg
                Int J Comput Assist Radiol Surg
                International Journal of Computer Assisted Radiology and Surgery
                Springer International Publishing (Cham )
                1861-6410
                1861-6429
                10 April 2022
                10 April 2022
                2022
                : 17
                : 9
                : 1611-1617
                Affiliations
                [1 ]GRID grid.52788.30, ISNI 0000 0004 0427 7672, Wellcome Trust-EPSRC Centre for Interventional and Surgical Sciences, ; London, W1W 7TS UK
                [2 ]GRID grid.83440.3b, ISNI 0000000121901201, Department of Medical Physics and Bioengineering, , University College London, ; London, WC1E 6BT UK
                [3 ]GRID grid.426108.9, ISNI 0000 0004 0417 012X, Department of Cardiology, , Royal Free Hospital, ; London, NW3 2QG UK
                [4 ]GRID grid.426108.9, ISNI 0000 0004 0417 012X, Department of Vascular Surgery, , Royal Free Hospital, ; London, NW3 2QG UK
                [5 ]GRID grid.83440.3b, ISNI 0000000121901201, Division of Surgery and Interventional Science, , University College London, ; London, W1W 7TY UK
                Author information
                http://orcid.org/0000-0002-2267-0924
                http://orcid.org/0000-0002-8506-8623
                http://orcid.org/0000-0002-0439-8509
                http://orcid.org/0000-0001-5877-9174
                http://orcid.org/0000-0001-6826-4211
                http://orcid.org/0000-0003-4962-2348
                http://orcid.org/0000-0002-0108-8169
                http://orcid.org/0000-0002-2532-8614
                http://orcid.org/0000-0002-1932-1811
                Article
                2612
                10.1007/s11548-022-02612-4
                9463301
                35397710
                355667b4-8814-4558-9369-d61aba3ebcdf
                © The Author(s) 2022

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 10 January 2022
                : 15 March 2022
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100004440, Wellcome Trust;
                Award ID: 203145Z/16/Z
                Award ID: NS/A000050/1
                Award Recipient :
                Categories
                Original Article
                Custom metadata
                © CARS 2022

                ultrasound,imaging phantoms,tissue-mimicking material,vascular,abdominal aortic aneurysm

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