Defining a master curve of abdominal aortic aneurysm growth and its potential utility of clinical management

Date

2021-09-01

Author

Akkoyun, Emrah
Gharahi, Hamidreza
Kwon, Sebastian T.
Zambrano, Byron A.
Rao, Akshay
Acar, Aybar Can
Lee, Whal
Baek, Seungik

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The 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. Methods: 106 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. Results: An 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. Conclusions: The 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.

URI

https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85109175078&origin=inward
https://hdl.handle.net/11511/91358

Journal

Computer Methods and Programs in Biomedicine

DOI

https://doi.org/10.1016/j.cmpb.2021.106256

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Graduate School of Informatics, Article

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Citation Formats

E. Akkoyun et al., “Defining a master curve of abdominal aortic aneurysm growth and its potential utility of clinical management,” Computer Methods and Programs in Biomedicine, pp. 0–0, 2021, Accessed: 00, 2021. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85109175078&origin=inward.