ArticleComputer methods and programs in biomedicine2021
Defining a master curve of abdominal aortic aneurysm growth and its potential utility of clinical management.
Article in Computer methods and programs in biomedicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Forecasting Patient-Specific Abdominal Aortic Aneurysm Geometry with Mixed-Effects Models.Diagnostics (Basel, Switzerland) · 2026Article
- Geometry quantification for growth assessment of abdominal aortic aneurysms under surveillance.Scientific reports · 2026Article
- Physics-Based Growth and Remodeling Modeling for Virtual Abdominal Aortic Aneurysm Evolution and Growth Prediction.medRxiv : the preprint server for health sciences · 2026Article
- Investigation of commonly used aortic aneurysm growth rate metrics: Comparing their suitability for clinical and research applications.PloS one · 2023Article
- Novel insight of NFrontiers in genetics · 2022Article
- Predicting abdominal aortic aneurysm growth using patient-oriented growth models with two-step Bayesian inference.Computers in biology and medicine · 2020Article
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Authors and funding
8 authors.
Funding
Abstract
objectiveThe maximum diameter measurement of an abdominal aortic aneurysm (AAA), which depends on orthogonal and axial cross-sections or maximally inscribed spheres within the AAA, plays a significant role in the clinical decision making process. This study aims to build a total of 21 morphological parameters from longitudinal CT scans and analyze their correlations. Furthermore, this work explores the existence of a "master curve" of AAA growth, and tests which parameters serve to enhance its predictability for clinical use.
methods106 CT scan images from 25 Korean AAA patients were retrospectively obtained. We subsequently computed morphological parameters, growth rates, and pair-wise correlations, and attempted to enhance the predictability of the growth for high-risk aneurysms using non-linear curve fitting and least-square minimization.
resultsAn exponential AAA growth model was fitted to the maximum spherical diameter, as the best representative of the growth among all parameters (r-square: 0.94) and correctly predicted to 15 of 16 validation scans based on a 95% confidence interval. AAA volume expansion rates were highly correlated (r=0.75) with thrombus accumulation rates.
conclusionsThe exponential growth model using spherical diameter provides useful information about progression of aneurysm size and enables AAA growth rate extrapolation during a given surveillance period.
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