It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
Abstract
We present a cohort of patients with anterior communicating artery (ACoA) aneurysms to investigate morphological characteristics and clinical factors associated with rupture of the aneurysms. 505 patients with ACoA aneurysms were identified at the Brigham and Women’s Hospital and Massachusetts General Hospital between 1990 and 2016, with available CT angiography (CTA). Three-dimensional (3D) reconstructions were performed to evaluate aneurysmal morphologic features, including location, projection, irregularity, the presence of daughter dome, height, height/width ratio, and relationships between surrounding vessels. Patient risk factors assessed included patient age, sex, tobacco use, alcohol use, and family history of aneurysms and aneurysmal subarachnoid hemorrhage. Logistic regression was used to build a predictive ACoA score for rupture. Morphologic features associated with ruptured ACoA aneurysms were the presence of a daughter dome (OR 21.4, 95% CI 10.6–43.1), smaller neck diameter (OR 0.55, 95% CI 0.42–0.71), larger aspect ratio (OR 3.57, 95% CI 2.05–6.24), larger flow angle (OR 1.03, 95% CI 1.02–1.05), and smaller ipsilateral A2-ACoA angle (OR 0.98, 95% CI 0.97–1.00). Tobacco use was predominantly associated with morphological factors intrinsic to the aneurysm that were associated with rupture while younger age was also associated with morphologic features extrinsic to the aneurysm that were associated with rupture. The ACoA score had good predictive capacity for rupture with AUC = 0.92 using the 0.632 bootstrap cross-validation for correction of overfitting bias. Ruptured ACoA aneurysms were associated with morphological features that are simple to assess using a simple scoring system. Tobacco use and younger age were predominantly associated with intrinsic and extrinsic morphological features characteristic of rupture, respectively.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details
1 Harvard Medical School, Department of Neurosurgery, Brigham and Women’s Hospital, Boston, USA (GRID:grid.38142.3c) (ISNI:000000041936754X); The First Affiliated Hospital of Soochow University, Department of Neurosurgery & Brain and Nerve Research Laboratory, Suzhou, China (GRID:grid.429222.d) (ISNI:0000 0004 1798 0228)
2 Harvard Medical School, Department of Neurosurgery, Brigham and Women’s Hospital, Boston, USA (GRID:grid.38142.3c) (ISNI:000000041936754X)
3 Harvard Medical School, Department of Neurosurgery, Brigham and Women’s Hospital, Boston, USA (GRID:grid.38142.3c) (ISNI:000000041936754X); Amsterdam University Medical Centers, Department of Neurosurgery, Amsterdam, the Netherlands (GRID:grid.7177.6) (ISNI:0000000084992262)
4 Brigham and Women’s Hospital, Department of Radiology, Boston, USA (GRID:grid.62560.37) (ISNI:0000 0004 0378 8294)
5 Massachusetts General Brigham, Research Information Systems and Computing, Boston, USA (GRID:grid.62560.37)
6 Boston Children’s Hospital Informatics Program, Boston, USA (GRID:grid.2515.3) (ISNI:0000 0004 0378 8438); Loyola University, Department of Computer Science, Chicago, USA (GRID:grid.164971.c) (ISNI:0000 0001 1089 6558)
7 Boston Children’s Hospital Informatics Program, Boston, USA (GRID:grid.2515.3) (ISNI:0000 0004 0378 8438)
8 Massachusetts General Brigham, Research Information Systems and Computing, Boston, USA (GRID:grid.2515.3)
9 Brigham and Women’s Hospital, Division of Rheumatology, Immunology and Allergy, Boston, USA (GRID:grid.62560.37) (ISNI:0000 0004 0378 8294)
10 Massachusetts General Brigham, Research Information Systems and Computing, Boston, USA (GRID:grid.2515.3); Massachusetts General Hospital, Department of Neurology, Boston, USA (GRID:grid.32224.35) (ISNI:0000 0004 0386 9924)
11 Harvard T.H. Chan School of Public Health, Boston, USA (GRID:grid.38142.3c) (ISNI:000000041936754X)
12 Brigham and Women’s Hospital, Channing Division of Network Medicine, Boston, USA (GRID:grid.62560.37) (ISNI:0000 0004 0378 8294)
13 Harvard Medical School, Department of Neurosurgery, Brigham and Women’s Hospital, Boston, USA (GRID:grid.38142.3c) (ISNI:000000041936754X); Brigham and Women’s Hospital, Channing Division of Network Medicine, Boston, USA (GRID:grid.62560.37) (ISNI:0000 0004 0378 8294)