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Middle cerebral arterial bifurcation aneurysms are associated with bifurcation angle and high tortuosity - 08/12/21

Doi : 10.1016/j.neurad.2021.12.001 
Xuejing Zhang 1, Weili Hao 1, Siqin Han 2, Chun-Feng Ren 3, Lei Yang 1, Yongfeng Han 1, Bulang Gao 1,
1 Department of Medical Research and Neurosurgery, Shijiazhuang People's Hospital 
2 Hebei Medical University 
3 Zhengzhou University First Affiliated Hospital 

Corresponding author: Bulang Gao, Department of Medical Research and Neurosurgery, Shijiazhuang People's Hospital, 9 Fangbei Road, Shijiazhuang, Hebei Province, China 050011, Phone: 08617603119660Department of Medical Research and NeurosurgeryShijiazhuang People's Hospital, 9 Fangbei RoadShijiazhuangHebei Province050011China
En prensa. Manuscrito Aceptado. Disponible en línea desde el Wednesday 08 December 2021
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Highlights

MCA Bifurcation angle has a higher value in in distinguishing MCA aneurysmal from non-aneurysmal bifurcations.
Arterial tortuosity from the parent artery to the branch forming a smaller angle with the parent artery has a higher value in distinguishing MCA aneurysmal from non-aneurysmal bifurcations.
Arterial tortuosity from the parent artery to the contralateral branch is the best indicator for distinguishing types C from D aneurysmal bifurcations.

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Abstract

Purpose: To investigate the association of middle cerebral artery (MCA) bifurcation aneurysms with bifurcation morphology.

Materials and methods: 205 patients were enrolled, including 61 patients with MCA bifurcation aneurysms and 144 non-aneurysmal subjects. Aneurysmal cases were divided into types C (aneurysm neck on extension of the parent artery centerline) and D (deviating neck). The radius of the parent artery M1 (RP), smaller (RS) and larger (RL) branches, smaller (φS) and larger (φL) lateral angles, bifurcation angle, and arterial tortuosity (TS) and (TL) were analyzed. Logistic regression and receiver operator characteristic (ROC) curve analysis were performed to identify risk factors and predictive values for MCA aneurysm presence and types. Results: In aneurysmal MCA bifurcations, bifurcating angle, TS, TL and RL were significantly larger (P<0.01) while φS was smaller (P<0.001) than those in controls. The bifurcation angle, TS and LogitP were better morphological parameters for predicting MCA aneurysm presence with the AUC of 0.795, 0.932 and 0.951, respectively. Significant (P<0.05) differences were observed in the bifurcation angle, φL, RP, RL and TL between types C and D aneurysmal bifurcations. TL was an independent factor in discriminating types C from D aneurysms with an AUC of 0.802.

Conclusions: Bifurcation angle and arterial tortuosity from the parent artery to the branch forming a smaller angle with the parent artery have a higher value in distinguishing MCA aneurysmal from non-aneurysmal bifurcations, and the tortuosity from the parent artery to the contralateral branch is the best indicator for distinguishing types C from D aneurysmal bifurcations.

El texto completo de este artículo está disponible en PDF.

Graphical Abstract




Image, graphical abstract

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Keywords : Middle cerebral artery, Aneurysm, Arterial tortuosity, Bifurcation angle, Lateral angle


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