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Updated: Jan 28, 2026
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Predicting Catalyst Extrudate Breakage Based on the Modulus of Rupture
Published on: May 13, 2018
8.6K
Clinical Scales in Aneurysm Rupture Prediction
Sebastian Sanchez1, Jacob M Miller1, Edgar A Samaniego1,2,3
1Department of Neurology University of Iowa Hospitals and Clinics Iowa City IA USA.
Stroke (Hoboken, N.J.)
|January 26, 2026
Summary
Predicting unruptured brain aneurysm rupture risk is difficult. Current clinical scales like PHASES, ELAPSS, and UIATS have limitations, prompting research into new biomarkers and tools for better risk assessment.
Area of Science:
- Neurology
- Neurosurgery
- Radiology
Background:
- Incidental discovery of unruptured intracranial aneurysms is rising due to increased neuroimaging use.
- Accurate prediction of aneurysm rupture risk remains a significant clinical challenge.
Purpose of the Study:
- To review existing clinical scales for aneurysm rupture prediction (PHASES, ELAPSS, UIATS).
- To analyze risk factors and performance of current scales.
- To explore novel biomarkers and tools for improved rupture risk assessment.
Main Methods:
- Literature review of clinical scales and risk factors for unruptured intracranial aneurysms.
- Analysis of published studies evaluating the performance of PHASES, ELAPSS, and UIATS.
- Discussion of emerging biomarkers and predictive tools.
Main Results:
- Established clinical scales (PHASES, ELAPSS, UIATS) have shortcomings limiting routine use.
- Analysis reveals limitations in the risk factors and predictive accuracy of current scales.
- New biomarkers and advanced tools show promise for enhancing rupture risk prediction.
Conclusions:
- Current clinical scales for unruptured intracranial aneurysm rupture risk are inadequate for routine practice.
- Further research into novel biomarkers and predictive tools is essential for improving patient management.
- Enhanced risk stratification is needed to guide treatment decisions for unruptured aneurysms.
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