Files and links (1)
Accepted (AM)Open Access (License Unspecified), Open
Journal article
Quantitative Assessment of Abdominal Aortic Aneurysm Geometry
Annals of biomedical engineering, v 39(1), pp 277-286
01 Jan 2011
PMID: 20890661
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Recent studies have shown that the maximum transverse diameter of an abdominal aortic aneurysm (AAA) and expansion rate are not entirely reliable indicators of rupture potential. We hypothesize that aneurysm morphology and wall thickness are more predictive of rupture risk and can be the deciding factors in the clinical management of the disease. A non-invasive, image-based evaluation of AAA shape was implemented on a retrospective study of 10 ruptured and 66 unruptured aneurysms. Three-dimensional models were generated from segmented, contrast-enhanced computed tomography images. Geometric indices and regional variations in wall thickness were estimated based on novel segmentation algorithms. A model was created using a J48 decision tree algorithm and its performance was assessed using ten-fold cross validation. Feature selection was performed using the chi(2)-test. The model correctly classified 65 datasets and had an average prediction accuracy of 86.6% (kappa = 0.37). The highest ranked features were sac length, sac height, volume, surface area, maximum diameter, bulge height, and intra-luminal thrombus volume. Given that individual AAAs have complex shapes with local changes in surface curvature and wall thickness, the assessment of AAA rupture risk should be based on the accurate quantification of aneurysmal sac shape and size.
Metrics
Details
- Title
- Quantitative Assessment of Abdominal Aortic Aneurysm Geometry
- Creators
- Judy Shum - Carnegie Mellon UniversityGiampaolo Martufi - KTH Royal Institute of TechnologyElena Di Martino - University of CalgaryChristopher B. Washington - Allegheny General HospitalJoseph Grisafi - Allegheny General HospitalSatish C. Muluk - Allegheny General HospitalEnder A. Finol - Carnegie Mellon University
- Publication Details
- Annals of biomedical engineering, v 39(1), pp 277-286
- Publisher
- Springer Nature
- Number of pages
- 10
- Grant note
- R21EB007651; R21EB008804; R15HL087268 / NIH; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA John and Claire Bertucci Graduate Fellowship Carnegie Mellon University's Biomedical Engineering Department Bill and Melinda Gates Foundation; Bill & Melinda Gates Foundation
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Cardiothoracic Surgery
- Web of Science ID
- WOS:000287213100024
- Scopus ID
- 2-s2.0-78650871050
- Other Identifier
- 991021944133804721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Engineering, Biomedical