open access

Vol 51, No 2 (2017)
Original research articles
Submitted: 2016-05-17
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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

Fumiaki Ueda, Naoyuki Uchiyama, Masanao Mohri, Kouichi Misaki, Osamu Matsui, Shinya Kida, Junichiro Sanada, Jun Yoshikawa, Hiroyuki Aburano, Yuichi Yoshie, Toshifumi Gabata
DOI: 10.1016/j.pjnns.2017.01.002
·
Neurol Neurochir Pol 2017;51(2):116-126.

open access

Vol 51, No 2 (2017)
Original research articles
Submitted: 2016-05-17

Abstract

Purpose

Our aim was to identify long-term predictive factors of the morphology-based outcome (MBO) of bare platinum coiled intracranial aneurysms.

Materials and Methods

A 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.

Results

Factors 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).

Conclusion

Although 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

Purpose

Our aim was to identify long-term predictive factors of the morphology-based outcome (MBO) of bare platinum coiled intracranial aneurysms.

Materials and Methods

A 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.

Results

Factors 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).

Conclusion

Although 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.

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Keywords

Intracranial aneurysm, Endovascular treatment, Magnetic resonance angiography, Contrast enhancement

About this article
Title

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

Vol 51, No 2 (2017)

Pages

116-126

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

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