Cerebrovascular Disease
Application of 4D-digital subtraction angiography in the evaluation of angioarchitectural charac-teristics of intracranial arteriovenous malformations
Li Zhe, Zhang Qi, Shang Chenghao, Huang Qinghai, Xu Yi, Li Qiang, Liu Jianmin
Published 2023-02-28
Cite as Chin J Neurosurg, 2023, 39(2): 135-139. DOI: 10.3760/cma.j.cn112050-20220127-00058
Abstract
ObjectiveTo investigate the application of 4D digital subtraction angiography (DSA) in the evaluation of angioarchitectural characteristics of intracranial arteriovenous malformations (AVMs).
MethodsA retrospective study was conducted on the clinical data of 34 patients with intracranial AVMs who were evaluated with 4D-DSA at the Neurovascular Center, the First Affiliated Hospital of Naval Medical University from May 2017 to January 2021. The angioarchitectural characteristics of AVM were evaluated by 4D-DSA and traditional methods (2D-DSA combined with 3D-DSA). The quality of visualization of the two methods in evaluating the feeding artery, dangerous structure, the division of the nidus, drainage vein structure, Spetzler-Martin (S-M) grading was manually rated using a 4-point scale from 0 to 4 points. The higher the score, the better visualized.
ResultsThe feeding arteries and S-M grades of AVM revealed with 4D-DSA were nearly accordance with the traditional methods (Z value: -1.70 and -0.63, respectively, both P>0.05). The dangerous structure, the division of the nidus, and the drainage vein structure was better visualized with 4D-DSA (Z value: -4.95, -2.99, and -4.14, respectively, all P<0.05).
ConclusionCompared with traditional method, 4D-DSA is associated with better visualization of the angioarchitecture characteristics including the dangerous structure of intracranial AVM, the division of the nidus, and the drainage vein structure, which can provide more information for choosing treatment strategy.
Key words:
Intracranial arteriovenous malformations; Angiography, digital subtraction; Angioa-rchitectural characteristics
Contributor Information
Li Zhe
Neurovascular Center, the First Affiliated Hospital of Naval Medical University, Shanghai 200433, China
Zhang Qi
Neurovascular Center, the First Affiliated Hospital of Naval Medical University, Shanghai 200433, China
Shang Chenghao
Neurovascular Center, the First Affiliated Hospital of Naval Medical University, Shanghai 200433, China
Huang Qinghai
Neurovascular Center, the First Affiliated Hospital of Naval Medical University, Shanghai 200433, China
Xu Yi
Neurovascular Center, the First Affiliated Hospital of Naval Medical University, Shanghai 200433, China
Li Qiang
Neurovascular Center, the First Affiliated Hospital of Naval Medical University, Shanghai 200433, China
Liu Jianmin
Neurovascular Center, the First Affiliated Hospital of Naval Medical University, Shanghai 200433, China
