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.

Details

Title
Tobacco use and age are associated with different morphologic features of anterior communicating artery aneurysms
Author
Zhang, Jian 1 ; Lai Pui Man Rosalind 2 ; Can, Anil 3 ; Mukundan Srinivasan 4 ; Castro, Victor M 5 ; Dligach Dmitriy 6 ; Finan, Sean 7 ; Gainer, Vivian S 8 ; Shadick, Nancy A 9 ; Savova Guergana 7 ; Murphy, Shawn N 10 ; Cai Tianxi 11 ; Weiss, Scott T 12 ; Du, Rose 13 

 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) 
 Harvard Medical School, Department of Neurosurgery, Brigham and Women’s Hospital, Boston, USA (GRID:grid.38142.3c) (ISNI:000000041936754X) 
 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) 
 Brigham and Women’s Hospital, Department of Radiology, Boston, USA (GRID:grid.62560.37) (ISNI:0000 0004 0378 8294) 
 Massachusetts General Brigham, Research Information Systems and Computing, Boston, USA (GRID:grid.62560.37) 
 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) 
 Boston Children’s Hospital Informatics Program, Boston, USA (GRID:grid.2515.3) (ISNI:0000 0004 0378 8438) 
 Massachusetts General Brigham, Research Information Systems and Computing, Boston, USA (GRID:grid.2515.3) 
 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) 
Publication year
2021
Publication date
2021
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2493702667
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.