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.
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.
Authors: James Feghali; Abhishek Gami; Risheng Xu; Christopher M Jackson; Rafael J Tamargo; Cameron G McDougall; Judy Huang; Justin M Caplan Journal: Neurosurg Rev Date: 2021-04-02 Impact factor: 3.042
Authors: Ahilan Kailaya-Vasan; Joseph Frantzias; Jayantan Kailaya-Vasan; Ian A Anderson; Daniel C Walsh Journal: Acta Neurochir (Wien) Date: 2021-05-06 Impact factor: 2.816