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A novel approach for local abdominal aortic aneurysm growth quantification

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Abstract

Although aneurysm size still remains the most accepted predictor of rupture risk, abdominal aortic aneurysms (AAAs) with maximum diameter smaller than 5 cm may also rupture. Growth rate is an additional marker for rupture risk as it potentially reflects an undesirable wall remodeling that leads to fast regional growth. Currently, an indication for surgery is an expansion rate >10 mm/year, measured as change in maximum diameter over time. However, as AAA expansion is non-uniform, it is questionable whether measurement of maximum diameter change over time can capture increased localized remodeling activity. A method for estimating AAA surface area growth is introduced, providing a better measure of local wall deformation. The proposed approach is based on the non-rigid iterative closest point algorithm. Optimization and validation is performed using 12 patient-specific AAA geometries artificially deformed to produce a target surface with known nodal displacements. Mesh density sensitivity, range of uncertainty, and method limitations are discussed. Application to ten AAA patient-specific follow-ups suggested that maximum diameter growth does not correlate strongly with the maximum surface growth (R 2 = 0.614), which is not always colocated with maximum diameter, or uniformly distributed. Surface growth quantification could reinforce the quality of aneurysm surveillance programs.

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Acknowledgements

The authors would like to thank Dr. Emmanuel Audenaert, MD, Ph.D., at Ghent University for useful discussions on the ICP algorithm and his advice and suggestions for its adaptation. The work was financially supported in part by the Action “Supporting Postdoctoral Researchers”, co-financed by the European Social Fund (ESF) and the Greek State (LS7_2224). Additionally, it was supported in part by the European Commission (EC) via the European Regional Development Fund and the General Secretariat for Research and Technology (GSRT) of the Hellenic Ministry of Education via the BIOSYS Research Project, Action KRIPIS, Project No. MIS-448301 (2013SE01380036).

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Author notes

  1. Iordan Iordanov

    Present address: LORIA - UMR 7503, 615, rue du Jardin Botanique, B.P. 101, 54602, Villers-lés-Nancy cedex, France

Authors and Affiliations

  1. Institute of Applied and Computational Mathematics, Foundation for Research and Technology - Hellas, Nikolaou Plastira 100, Vassilika Vouton, 700 13, Heraklion, Crete, Greece

    Eleni Metaxa, Iordan Iordanov & Yannis Papaharilaou

  2. School of Applied Sciences, Technological Educational Institute of Crete, Chania, Greece

    Emmanuel Maravelakis

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  1. Eleni Metaxa
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  2. Iordan Iordanov
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  3. Emmanuel Maravelakis
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  4. Yannis Papaharilaou
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Correspondence to Yannis Papaharilaou.

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Metaxa, E., Iordanov, I., Maravelakis, E. et al. A novel approach for local abdominal aortic aneurysm growth quantification. Med Biol Eng Comput 55, 1277–1286 (2017). https://doi.org/10.1007/s11517-016-1592-8

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  • DOI: https://doi.org/10.1007/s11517-016-1592-8

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