ArticleTherapeutic advances in neurological disorders2020
Rupture risk assessment for multiple intracranial aneurysms: why there is no need for dozens of clinical, morphological and hemodynamic parameters.
Article in Therapeutic advances in neurological disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed, 31 citations in OpenAlex.
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- Sex Differences in Intracranial Aneurysms: A Matched Cohort Study.Journal of personalized medicine · 2024Article
- Computational study of effect of hybrid nanoparticles on hemodynamics and thermal transfer in ruptured arteries with pathological dilation.Scientific reports · 2024Article
- A model with multiple intracranial aneurysms: possible hemodynamic mechanisms of aneurysmal initiation, rupture and recurrence.Chinese neurosurgical journal · 2024Article
- Application of zone classification in multiple intracranial aneurysmal subarachnoid hemorrhage treatment strategies.Heliyon · 2024Article
- Associations between morphological parameters and ruptured anterior communicating artery aneurysm: A propensity score-matched, single center, case-control study.Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2024Article
- Endovascular treatment of multiple intracranial aneurysms in patients with subarachnoid hemorrhage: one or multiple sessions?Frontiers in neurology · 2023Article
- Assessing the risk of intracranial aneurysm rupture using computational fluid dynamics: a pilot study.Frontiers in neurology · 2023Article
- Geometric uncertainty in intracranial aneurysm rupture status discrimination: a two-site retrospective study.BMJ open · 2022Article
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- Numerical Assessment of the Risk of Abnormal Endothelialization for Diverter Devices: Clinical Data Driven Numerical Study.Journal of personalized medicine · 2022Article
- Deep Shape Features for Predicting Future Intracranial Aneurysm Growth.Frontiers in physiology · 2021Article
- Can Endovascular Treatment of Fusiform Intracranial Aneurysms Restore the Healthy Hemodynamic Environment?-A Virtual Pilot Study.Frontiers in neurology · 2021Article
- The Analysis of Morphoradiological Parameters in Predicting Risk of Basilar Artery Tip Aneurysm Rupture: A Retrospective Cohort Study.International journal of general medicine · 2021Article
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10 authors at 2 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
introductionA multitude of approaches have been postulated for assessing the risk of intracranial aneurysm rupture. However, the amount of potential predictive factors is not applicable in clinical practice and they are rejected in favor of the more practical PHASES score. For the subgroup of multiple intracranial aneurysms (MIAs), the PHASES score might severely underestimate the rupture risk, as only the aneurysm with the largest diameter is considered for risk evaluation.
methodsIn this study, we investigated 38 patients harboring a total number of 87 MIAs with respect to their morphological and hemodynamical characteristics. For the determination of the best suited parameters regarding their predictive power for aneurysm rupture, we conducted three phases of statistical evaluation. The statistical analysis aimed to identify parameters that differ significantly between ruptured and unruptured aneurysms, show smallest possible correlations among each other and have a high impact on rupture risk prediction.
resultsSignificant differences between ruptured and unruptured aneurysms were found in 16 out of 49 parameters. The lowest correlation were found for gamma, aspect ratio (AR1), aneurysm maximal relative residence time (Aneurysm_RRT_max) and aneurysm mean relative residence time. The data-driven parameter selection yielded a significant correlation of only two parameters (AR1 and the Aneurysm_RRT_max) with rupture state (area under curve = 0.75).
conclusionA high number of established morphological and hemodynamical parameters seem to have no or only low effect on prediction of aneurysm rupture in patients with MIAs. For best possible rupture risk assessment of patients with MIAs, only the morphological parameter AR1 and the hemodynamical parameter Aneurysm_RRT_max need to be included in the prediction model.
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