Computerized Differentiation of Growth Status for Abdominal Aortic Aneurysms: A Feasibility Study-Reference-Cited by-同舟云学术

Computerized Differentiation of Growth Status for Abdominal Aortic Aneurysms: A Feasibility Study

Published:2023-01-05 Issue:4 Volume:16 Page:874-885
ISSN:1937-5387
Container-title:Journal of Cardiovascular Translational Research
language:en
Short-container-title:J. of Cardiovasc. Trans. Res.

Author:

Rezaeitaleshmahalleh Mostafa,Sunderland Kevin W.,Lyu Zonghan,Johnson Tonie,King Kristin,Liedl David A.,Hofer Janet M.,Wang Min,Zhang Xiaoming,Kuczmik Wiktoria,Rasmussen Todd E.,McBane Robert D.,Jiang Jingfeng^ORCID

Funder

Michigan Technological University

Publisher

Springer Science and Business Media LLC

Subject

Genetics (clinical),Cardiology and Cardiovascular Medicine,Pharmaceutical Science,Genetics,Molecular Medicine

Link

https://link.springer.com/content/pdf/10.1007/s12265-022-10352-8.pdf

Reference37 articles.

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2. Olson SL, Wijesinha MA, Panthofer AM, Blackwelder WC, Upchurch GR Jr, Terrin ML, et al. Evaluating growth patterns of abdominal aortic aneurysm diameter with serial computed tomography surveillance. JAMA Surg. 2021;156(4):363–70. https://doi.org/10.1001/jamasurg.2020.7190.

3. Silverstein MD, Pitts SR, Chaikof EL, Ballard DJ. Abdominal aortic aneurysm (AAA): cost-effectiveness of screening, surveillance of intermediate-sized AAA, and management of symptomatic AAA. Proc (Baylor Univ Med Cent). 2005;18(4):345–67. https://doi.org/10.1080/08998280.2005.11928095.

4. Wilmink ABM, Quick CRG, Hubbard CS, Day NE. Effectiveness and cost of screening for abdominal aortic aneurysm: results of a population screening program. J Vasc Surg. 2003;38(1):72–7. https://doi.org/10.1016/S0741-5214(03)00135-6.

5. Collaborators* TR. Surveillance intervals for small abdominal aortic aneurysms: a meta-analysis. JAMA. 2013;309(8):806–13. https://doi.org/10.1001/jama.2013.950.

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2. Computational Hemodynamics-Based Growth Prediction for Small Abdominal Aortic Aneurysms: Laminar Simulations Versus Large Eddy Simulations;Annals of Biomedical Engineering;2024-07-17

3. S-Net: a multiple cross aggregation convolutional architecture for automatic segmentation of small/thin structures for cardiovascular applications;Frontiers in Physiology;2023-11-02

4. Deep-learning-based image segmentation for image-based computational hemodynamic analysis of abdominal aortic aneurysms: a comparison study;Biomedical Physics & Engineering Express;2023-09-12

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