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Abstract
Risk of intracranial aneurysm rupture could be affected by geometric features of intracranial aneurysms and the surrounding vasculature in a location specific manner. Our goal is to investigate the morphological characteristics associated with ruptured posterior communicating artery (PCoA) aneurysms, as well as patient factors associated with the morphological parameters. Three-dimensional morphological parameters in 409 patients with 432 PCoA aneurysms diagnosed at the Brigham and Women’s Hospital and Massachusetts General Hospital between 1990 and 2016 who had available CT angiography (CTA) or digital subtraction angiography (DSA) were evaluated. Morphological parameters examined included aneurysm wall irregularity, presence of a daughter dome, presence of hypoplastic or aplastic A1 arteries and hypoplastic or fetal PCoA, perpendicular height, width, neck diameter, aspect and size ratio, height/width ratio, and diameters and angles of surrounding parent and daughter vessels. Univariable and multivariable statistical analyses were performed to determine the association of morphological parameters with rupture of PCoA aneurysms. Additional analyses were performed to determine the association of patient factors with the morphological parameters. Irregular, multilobed PCoA aneurysms with larger height/width ratios and larger flow angles were associated with ruptured PCoA aneurysms, whereas perpendicular height was inversely associated with rupture in a multivariable model. Older age was associated with lower aspect ratio, with a trend towards lower height/width ratio and smaller flow angle, features that are associated with a lower rupture risk. Morphological parameters are easy to assess and could help in risk stratification in patients with unruptured PCoA aneurysms. PCoA aneurysms diagnosed at older age have morphological features associated with lower risk.
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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 and 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 Brigham and Women’s Hospital, Department of Radiology, Boston, USA (GRID:grid.62560.37) (ISNI:0000 0004 0378 8294)
4 Partners Healthcare, Research Information Systems and Computing, Boston, USA (GRID:grid.452687.a) (ISNI:0000 0004 0378 0997)
5 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)
6 Boston Children’s Hospital Informatics Program, Boston, USA (GRID:grid.2515.3) (ISNI:0000 0004 0378 8438)
7 Brigham and Women’s Hospital, Department of Medicine, Boston, USA (GRID:grid.62560.37) (ISNI:0000 0004 0378 8294); Tsinghua University, Center for Statistical Science, Beijing, China (GRID:grid.12527.33) (ISNI:0000 0001 0662 3178)
8 Brigham and Women’s Hospital, Division of Rheumatology, Immunology and Allergy, Boston, USA (GRID:grid.62560.37) (ISNI:0000 0004 0378 8294)
9 Partners Healthcare, Research Information Systems and Computing, Boston, USA (GRID:grid.452687.a) (ISNI:0000 0004 0378 0997); Massachusetts General Hospital, Department of Neurology, Boston, USA (GRID:grid.32224.35) (ISNI:0000 0004 0386 9924)
10 Harvard School of Public Health, Biostatistics, Boston, USA (GRID:grid.38142.3c) (ISNI:000000041936754X)
11 Brigham and Women’s Hospital, Department of Medicine, Boston, USA (GRID:grid.62560.37) (ISNI:0000 0004 0378 8294); Brigham and Women’s Hospital, Channing Division of Network Medicine, Boston, USA (GRID:grid.62560.37) (ISNI:0000 0004 0378 8294)
12 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)




