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Long-term predictive factors of the morphology based outcome in bare platinum coiled intracranial aneurysms: Evaluation by pre- and post-contrast 3D time-of-flight MR angiography
Affiliations- Department of Radiology, Division of Cardiovascular Medicine, Graduate School of Medical Science, Kanazawa University, Japan
- Department of Neurosurgery, Division of Neuroscience, Graduate School of Medical Science, Kanazawa University, Japan
- Department of Advanced Medical Imaging, Graduate School of Medical Science, Kanazawa University, Kanazawa, Japan
- Department of Neurosurgery, Fukui Prefectural Hospital, Japan
- Department of Radiology, Fukui Prefectural Hospital, Japan
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Abstract
Our aim was to identify long-term predictive factors of the morphology-based outcome (MBO) of bare platinum coiled intracranial aneurysms.
Materials and MethodsA retrospective analysis of 96 bare platinum coiled intracranial aneurysms followed up from 1997 to 2016 using pre- and post-contrast 3D time-of-flight MR angiography (MRA) was performed. Logistic regression analysis was used to identify factors associated with a positive history of surrounding coil mass enhancement (SCME) and poor MBO. Spearman's rank correlation test was used to analyze the relationship between the initial angiographic result (IAR) class, sequential change of the SCME category, and MBO grade.
ResultsFactors independently associated with poor MBO were incomplete IAR (OR=14.94, 95%CI: 2.46, 289.21, P=0.002) and a history of SCME (OR=4.13, 95% CI: 1.05, 18.65, P=0.043). The MBO grade strongly correlated with the IAR class (correlation coefficient [r]=0.84, P<0.0001). MBO grade correlated with sequential change of the SCME category (r=0.56, P<0.0001). The sequential change of the SCME category correlated with IAR class (r=0.53, P<0.0001).
ConclusionAlthough IAR and its class were strong long-term predictive factors of MBO, a history of SCME and upgrading of sequential change of SCME category were also long-term predictive factors of the MBO of bare platinum coiled intracranial aneurysms.
Abstract
Our aim was to identify long-term predictive factors of the morphology-based outcome (MBO) of bare platinum coiled intracranial aneurysms.
Materials and MethodsA retrospective analysis of 96 bare platinum coiled intracranial aneurysms followed up from 1997 to 2016 using pre- and post-contrast 3D time-of-flight MR angiography (MRA) was performed. Logistic regression analysis was used to identify factors associated with a positive history of surrounding coil mass enhancement (SCME) and poor MBO. Spearman's rank correlation test was used to analyze the relationship between the initial angiographic result (IAR) class, sequential change of the SCME category, and MBO grade.
ResultsFactors independently associated with poor MBO were incomplete IAR (OR=14.94, 95%CI: 2.46, 289.21, P=0.002) and a history of SCME (OR=4.13, 95% CI: 1.05, 18.65, P=0.043). The MBO grade strongly correlated with the IAR class (correlation coefficient [r]=0.84, P<0.0001). MBO grade correlated with sequential change of the SCME category (r=0.56, P<0.0001). The sequential change of the SCME category correlated with IAR class (r=0.53, P<0.0001).
ConclusionAlthough IAR and its class were strong long-term predictive factors of MBO, a history of SCME and upgrading of sequential change of SCME category were also long-term predictive factors of the MBO of bare platinum coiled intracranial aneurysms.
Keywords
Intracranial aneurysm, Endovascular treatment, Magnetic resonance angiography, Contrast enhancement
About this articleTitle
Long-term predictive factors of the morphology based outcome in bare platinum coiled intracranial aneurysms: Evaluation by pre- and post-contrast 3D time-of-flight MR angiography
Journal
Neurologia i Neurochirurgia Polska
Issue
Pages
116-126
Page views
213
Article views/downloads
368
DOI
10.1016/j.pjnns.2017.01.002
Bibliographic record
Neurol Neurochir Pol 2017;51(2):116-126.
Keywords
Intracranial aneurysm
Endovascular treatment
Magnetic resonance angiography
Contrast enhancement
Authors
Fumiaki Ueda
Naoyuki Uchiyama
Masanao Mohri
Kouichi Misaki
Osamu Matsui
Shinya Kida
Junichiro Sanada
Jun Yoshikawa
Hiroyuki Aburano
Yuichi Yoshie
Toshifumi Gabata
