Verification of a simplified aneurysm dimensionless flow parameter to predict intracranial aneurysm rupture status

Author:

Yang Runlin1ORCID,Ren Yifan2,Kok Hong Kuan3,Smith Paul D45,Kebria Parham Mohsenzadeh6,Khosravi Abbas6,Maingard Julian278,Yeo Melissa9,Hall Jonathan10,Foo Michelle2,Zhou Kevin11,Jhamb Ashu12,Russell Jeremy13,Brooks Mark214,Asadi Hamed7814

Affiliation:

1. Department of Radiology, Austin Hospital , Melbourne, 3084, Australia

2. Interventional Radiology Service—Department of Radiology, Austin Hospital , Melbourne, 3084, Australia

3. Interventional Radiology Service, Northern Health Radiology , Melbourne, 3076, Australia

4. Melbourne Medical School, The University of Melbourne , Parkville, 3052, Australia

5. Department of Neurosurgery, St Vincent’s Hospital , Melbourne, 3065, Australia

6. Institute for Intelligent Systems Research and Innovation, Deakin University , Waurn Ponds, 3216, Australia

7. Interventional Neuroradiology Service—Department of Radiology, Austin Hospital , Melbourne, 3084, Australia

8. School of Medicine—Faculty of Health, Deakin University , Waurn Ponds, 3216, Australia

9. Department of Radiology, Western Health , Melbourne, 3011, Australia

10. Department of Radiology, St Vincent’s Hospital Melbourne , Melbourne, 3065, Australia

11. Department of Radiology, Monash Health, Monash University , Melbourne, 3168, Australia

12. Interventional Radiology Service—Department of Radiology, St Vincent’s Hospital Melbourne , Melbourne, 3065, Australia

13. Department of Neurosurgery, Austin Hospital , Melbourne, 3084, Australia

14. The Florey Institute of Neuroscience and Mental Health , Melbourne, 3052, Australia

Abstract

Abstract Objectives Aneurysm number (An) is a novel prediction tool utilizing parameters of pulsatility index (PI) and aneurysm geometry. An has been shown to have the potential to differentiate intracranial aneurysm (IA) rupture status. The objective of this study is to investigate the feasibility and accuracy of An for IA rupture status prediction using Australian based clinical data. Methods A retrospective study was conducted across three tertiary referral hospitals between November 2017 and November 2020 and all saccular IAs with known rupture status were included. Two sets of An values were calculated based on two sets of PI values previously reported in the literature. Results Five hundred and four IA cases were included in this study. The results demonstrated no significant difference between ruptured and unruptured status when using An ≥1 as the discriminator. Further analysis showed no strong correlation between An and IA subtypes. The area under the curve (AUC) indicated poor performance in predicting rupture status (AUC1 = 0.55 and AUC2 = 0.56). Conclusions This study does not support An ≥1 as a reliable parameter to predict the rupture status of IAs based on a retrospective cohort. Although the concept of An is supported by hemodynamic aneurysm theory, further research is needed before it can be applied in the clinical setting. Advances in knowledge This study demonstrates that the novel prediction tool, An, proposed in 2020 is not reliable and that further research of this hemodynamic model is needed before it can be incorporated into the prediction of IA rupture status.

Publisher

Oxford University Press (OUP)

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