Neck geometry and shape compactness as additional haemodynamic modulators in abdominal aortic aneurysms
4 affiliations
- 1School of Engineering, The University of Manchester 1 , Manchester, UK
- 2University of Texas 2 , Austin, TX, USA
- 3University of Sydney 3 , Australia
- 4Faculty of Biology, Medicine and Health, The University of Manchester 4 , Manchester, UK
Abstract
We present an automated, constraint-aware framework to generate demographically stratified virtual populations of abdominal aortic aneurysms (AAAs) and quantify, at cohort scale, how neck geometry, shape compactness and maximum diameter jointly modulate AAA haemodynamics. Using 258 computed tomography angiography-derived cases, we generated 182 validated AAA geometries and ran 364 simulations, extracting 10 geometric descriptors and correlating them with six haemodynamic biomarkers. The automated framework blends statistically grounded sampling, anatomical plausibility and regional morphing to provide a scalable route for reproducible computational fluid dynamics to uncover geometry–biomarker relations at cohort scale. Proximal neck diameter and sphericity were the dominant determinants of wall shear magnitude. Neck diameter increased mean wall shear stress (WSS) (r≈0.49) while reducing peak WSS0.95 (r≈−0.31) and low-time-averaged WSS area (r≈−0.27), whereas sphericity, a largely under-explored AAA shape descriptor, was the strongest inverse correlate of mean WSS (r≈−0.57). Maximum diameter minimally affected peak shear (r≈+0.06) but was associated with reduced mean WSS (r≈−0.41). Convexity, another such descriptor, was the dominant correlate of oscillatory shear, increasing oscillatory shear index (r≈+0.46) while modestly lowering mean WSS (r≈−0.28). The framework reveals neck calibre and shape compactness, not maximum diameter alone, as dominant modulators of AAA haemodynamics.
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BibTeX
@article{nandurdikar2026neck,
title = {{Neck geometry and shape compactness as additional haemodynamic modulators in abdominal aortic aneurysms}},
author = {Vijay Nandurdikar and Aryan Tyagi and Tejas Canchi and Alejandro F. Frangi and Alistair Revell and Ajay B. Harish},
journal = {Royal Society Open Science},
year = {2026},
month = sep,
doi = {10.1098/rsos.260428},
url = {https://royalsocietypublishing.org/rsos/article/13/9/260428/483442/Neck-geometry-and-shape-compactness-as-additional},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - Neck geometry and shape compactness as additional haemodynamic modulators in abdominal aortic aneurysms
AU - Vijay Nandurdikar
AU - Aryan Tyagi
AU - Tejas Canchi
AU - Alejandro F. Frangi
AU - Alistair Revell
AU - Ajay B. Harish
PY - 2026
DA - 2026/09/30
JO - Royal Society Open Science
DO - 10.1098/rsos.260428
UR - https://royalsocietypublishing.org/rsos/article/13/9/260428/483442/Neck-geometry-and-shape-compactness-as-additional
AB - We present an automated, constraint-aware framework to generate demographically stratified virtual populations of abdominal aortic aneurysms (AAAs) and quantify, at cohort scale, how neck geometry, shape compactness and maximum diameter jointly modulate AAA haemodynamics. Using 258 computed tomography angiography-derived cases, we generated 182 validated AAA geometries and ran 364 simulations, extracting 10 geometric descriptors and correlating them with six haemodynamic biomarkers. The automated framework blends statistically grounded sampling, anatomical plausibility and regional morphing to provide a scalable route for reproducible computational fluid dynamics to uncover geometry–biomarker relations at cohort scale. Proximal neck diameter and sphericity were the dominant determinants of wall shear magnitude. Neck diameter increased mean wall shear stress (WSS) (r≈0.49) while reducing peak WSS0.95 (r≈−0.31) and low-time-averaged WSS area (r≈−0.27), whereas sphericity, a largely under-explored AAA shape descriptor, was the strongest inverse correlate of mean WSS (r≈−0.57). Maximum diameter minimally affected peak shear (r≈+0.06) but was associated with reduced mean WSS (r≈−0.41). Convexity, another such descriptor, was the dominant correlate of oscillatory shear, increasing oscillatory shear index (r≈+0.46) while modestly lowering mean WSS (r≈−0.28). The framework reveals neck calibre and shape compactness, not maximum diameter alone, as dominant modulators of AAA haemodynamics.
SN - 2054-5703
ER -