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A Cohort Longitudinal Study Identifies Morphology and Hemodynamics Predictors of Abdominal Aortic Aneurysm Growth

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Abstract

Abdominal aortic aneurysms (AAA) are localized, commonly occurring aortic dilations. Following rupture only immediate treatment can prevent morbidity and mortality. AAA maximal diameter and growth are the current metrics to evaluate the associated risk and plan intervention. Although these criteria alone lack patient specificity, predicting their evolution would improve clinical decision. If the disease is known to be associated with altered morphology and blood flow, intraluminal thrombus deposit and clinical symptoms, the growth mechanisms are yet to be fully understood. In this retrospective longitudinal study of 138 scans, morphological analysis and blood flow simulations for 32 patients with clinically diagnosed AAAs and several follow-up CT-scans, are performed and compared to 9 control subjects. Several metrics stratify patients between healthy, low and high risk groups. Local correlations between hemodynamic metrics and AAA growth are also explored but due to their high inter-patient variability, do not explain AAA heterogeneous growth. Finally, high-risk predictors trained with successively clinical, morphological, hemodynamic and all data, and their link to the AAA evolution are built from supervise learning. Predictive performance is high for morphological, hemodynamic and all data, in contrast to clinical data. The morphology-based predictor exhibits an interesting effort-predictability tradeoff to be validated for clinical translation.

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Notes

  1. Approval \(\#12.153\) from the research ethics committee of the University of Montreal Health Centre (CHUM).

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Acknowledgements

The authors thank Daniel Stubbs and Compute Canada for the HPC support. The presented work relies on open-source projects and their community, especially OpenFOAM and ITKSnap (http://www.itksnap.org). This work has been supported by the Collaborative Research and Development Grants No. 460903-13 provided by the Natural Sciences and Engineering Research Council of Canada (NSERC) and the Industry-partnered Collaborative Research Grant No. 124294 from the Canadian Institutes of Health Research (CIHR).

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  1. Inria, Centre de recherche de Paris, 75012, Paris, France

    Florian Joly & Irene Vignon-Clementel

  2. Department of Medical Imaging, University of Montreal Hospital Research Center, Montreal, H2X0C1, Canada

    Gilles Soulez, Simon Lessard & Claude Kauffmann

  3. Sorbonne Université, Laboratoire Jacques-Louis Lions, 75005, Paris, France

    Florian Joly & Irene Vignon-Clementel

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Joly, F., Soulez, G., Lessard, S. et al. A Cohort Longitudinal Study Identifies Morphology and Hemodynamics Predictors of Abdominal Aortic Aneurysm Growth. Ann Biomed Eng 48, 606–623 (2020). https://doi.org/10.1007/s10439-019-02375-1

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