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The Unruptured Intracranial Aneurysm Treatment Score as a predictor of aneurysm growth or rupture.

Authors :
Molenberg, Rob
Aalbers, Marlien W.
Mazuri, Aryan
Luijckx, Gert Jan
Metzemaekers, Jan D. M.
Groen, Rob J. M.
Uyttenboogaart, Maarten
van Dijk, J. Marc C.
Source :
European Journal of Neurology; Mar2021, Vol. 28 Issue 3, p837-843, 7p
Publication Year :
2021

Abstract

Background and purpose: The Unruptured Intracranial Aneurysm Treatment Score (UIATS) was built to harmonize the treatment decision making on unruptured intracranial aneurysms. Therefore, it may also function as a predictor of aneurysm progression. In this study, we aimed to assess the validity of the UIATS model to identify aneurysms at risk of growth or rupture during follow‐up. Methods: We calculated the UIATS for a consecutive series of conservatively treated unruptured intracranial aneurysms, included in our prospectively kept neurovascular database. Computed tomography angiography and/or magnetic resonance angiography imaging at baseline and during follow‐up was analyzed to detect aneurysm growth. We defined rupture as a cerebrospinal fluid or computed tomography–proven subarachnoid hemorrhage. We calculated the area under the receiver operator curve, sensitivity, and specificity, to determine the performance of the UIATS model. Results: We included 214 consecutive patients with 277 unruptured intracranial aneurysms. Aneurysms were followed for a median period of 1.3 years (range 0.3–11.7 years). During follow‐up, 17 aneurysms enlarged (6.1%), and two aneurysms ruptured (0.7%). The UIATS model showed a sensitivity of 80% and a specificity of 44%. The area under the receiver operator curve was 0.62 (95% confidence interval 0.46–0.79). Conclusions: Our observational study involving consecutive patients with an unruptured intracranial aneurysm showed poor performance of the UIATS model to predict aneurysm growth or rupture during follow‐up. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13515101
Volume :
28
Issue :
3
Database :
Complementary Index
Journal :
European Journal of Neurology
Publication Type :
Academic Journal
Accession number :
148558606
Full Text :
https://doi.org/10.1111/ene.14636