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Updated: Jan 26, 2026

Microsurgical Clip Obliteration of Middle Cerebral Aneurysm Using Intraoperative Flow Assessment
Published on: September 25, 2009
Predicting Outcomes for Cerebral Aneurysms Treated with Flow Diversion: A Comparison Between 4 Grading Scales
Daniel M S Raper1, Ching-Jen Chen1, Jeyan Kumar1
1Department of Neurosurgery, University of Virginia, Charlottesville, Virginia, USA.
The Flow-Diverting Stent Score (FDSS) showed some association with aneurysm occlusion after flow diversion, but its predictive ability was insufficient for widespread clinical use. Other scales did not predict outcomes.
Area of Science:
- Neurosurgery
- Interventional Radiology
- Vascular Medicine
Background:
- Several grading scales exist for angiographic outcomes after flow diversion for cerebral aneurysms.
- No single scale has achieved widespread adoption or independent validation in neurosurgical literature.
Purpose of the Study:
- To evaluate the predictive ability of four reported grading scales for aneurysm occlusion after flow diversion.
- To determine if any scale could reliably predict treatment success.
Main Methods:
- A retrospective analysis of a prospectively maintained institutional database was performed.
- Four previously reported grading scales were applied to 99 aneurysms in 90 patients treated with flow-diverting stents.
- Patient and aneurysm factors were analyzed to compare scale performance.
Main Results:
- The Flow-Diverting Stent Score (FDSS) was the only scale significantly associated with aneurysm occlusion (P=0.004).
- Lower FDSS scores correlated with higher rates of occlusion.
- The OKM, Kamran-Byrne, and SMART scales did not predict occlusion, even after adjustments. The FDSS AUC was 0.675.
Conclusions:
- While the FDSS showed a significant association with occlusion, its predictive power was below the threshold for broad clinical utility.
- The high overall occlusion rates following flow diversion may limit the value of predictive grading scales.
- Further research may be needed to develop more robust predictive tools for flow diversion outcomes.
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