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Beyond Coiling: A Comparative Analysis of Survey-Reported Preferences for Endovascular Cerebral Aneurysm Occlusion
Sanjana R Salwi1, Thilan Tudor1, Oleg Shekhtman1
1Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Background:
Aneurysm treatment options are rapidly evolving, as evidenced by the recent introduction and widespread adoption of flow diversion and intrasaccular devices. However, there is a need to understand how these newer technologies are used for difficult-to-treat aneurysms. The main aims of this study were to investigate the variation in aneurysm treatment recommendations among neurosurgeons, interventional radiologists, and interventional neurologists and to generally describe trends in endovascular treatment.
Methods:
In this survey-based study conducted from June to September 2024, participants were presented with clinical vignettes and asked to choose preferred treatment options, with responses analyzed based on demographic variables including specialty, age, and training prior to and after the introduction of flow diversion.
Results:
A total of 108 respondents completed the study with a representative mix of specialties-(45 (42.5%) radiologists, 22 (20.8%) neurologists, and 39 (36.8%) neurosurgeons. Sixty-six (61.1%) trained after the introduction of flow diversion. Treatment recommendations were significantly different by specialty (p < 0.001). The Kappa statistic to assess variation in responses showed significant variation in treatment preferences across aneurysm subtypes, ranging from poor (κ = 0.07) to fair (0.31). Treatment of ruptured aneurysms varied by specialty with radiologists opting for stent-assisted coiling at a higher rate than neurologists or neurosurgeons (p < 0.001). There was no significant difference in rates of recommending flow diversion or intrasaccular devices between those who had trained before and after their introduction (p = 0.97).
Conclusion:
The study highlights the dynamic nature of aneurysm management and considerable variability among different specialties. Further exploration into the rationale for each decision is needed to understand how specialty training affects these decisions.
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