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Updated: Mar 29, 2026

Comprehensive Endovascular and Open Surgical Management of Cerebral Arteriovenous Malformations
Published on: October 20, 2017
Complication-Effectiveness Analysis for Brain Arteriovenous Malformation Surgery: A Prospective Cohort Study
Michael Kerin Morgan1, Markus Wiedmann, Nazih N Assaad
1*Department of Clinical Medicine, Macquarie University, Sydney, New South Wales, Australia; ‡Department of Statistics, Macquarie University, Sydney, New South Wales, Australia.
This study introduces complication-effectiveness analysis (CEA) for brain arteriovenous malformations (bAVMs), showing surgical risks vary by Spetzler-Ponce class (SPC). CEA quantifies neurological deficit risk per effective bAVM treatment, aiding treatment decisions.
Area of Science:
- Neurosurgery
- Interventional Neurology
- Medical Statistics
Background:
- Brain arteriovenous malformations (bAVMs) require safe and effective treatment interventions.
- Assessing treatment outcomes necessitates a method that integrates both complication rates and treatment efficacy.
Purpose of the Study:
- To introduce and apply complication-effectiveness analysis (CEA) for evaluating brain arteriovenous malformation (bAVM) treatments.
- To quantify the risk of neurological deficit associated with effectively treated bAVMs based on Spetzler-Ponce class (SPC).
Main Methods:
- Prospective database analysis of 779 patients undergoing 641 microsurgical resections.
- Calculation of surgical complication rates (modified Rankin Scale >1 at 12 months) per SPC.
- Kaplan-Meier analysis for long-term recurrence-free survival and integration into CEA.
Main Results:
- Surgical complication rates for SPC A, B, and C were 1.4%, 20%, and 41%, respectively.
- Nine-year freedom from recurrence was 97% for SPC A and 92% for other bAVMs.
- Nine-year CEA risk for SPC A, B, and C ranged from 1.4%, 22%-24%, and 45%-63%, respectively.
Conclusions:
- Complication-effectiveness analysis (CEA) provides a comprehensive measure of treatment outcomes for bAVMs.
- CEA integrates efficacy and safety, enabling better comparison of different treatment modalities.
- Risk stratification by Spetzler-Ponce class is crucial for understanding treatment outcomes in bAVM intervention.
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