Three-dimensional fusion imaging to assess apposition of low-profile visualized intraluminal support stent for intracranial aneurysm coiling
World Neurosurgery: X(2024)
摘要
Objective
To investigate on three-dimensional (3D) fusion images the apposition of low-profile visualized intraluminal support (LVIS) stents in intracranial aneurysms after treatment and assess inter-rater reliability.
Materials and Methods
Records of all patients with unruptured intracranial aneurysms who were treated with the LVIS stent were retrospectively accessed and included in this study. Two neurosurgeons evaluated the presence of malapposition between the vessel walls and the stent trunk (crescent sign) and the vessel wall and the stent edges (edge malappostion) on 3D fusion images. These images were high-resolution cone-beam computed tomography images of the LVIS stent fused with 3D-digital subtraction angiography images of the vessels. Associations between malapposition and aneurysm location were assessed by Fisher’s exact test, and inter-rater agreement was estimated using Cohen’s kappa statistic.
Results
Forty consecutive patients were included. In all patients, 3D fusion imaging successfully visualized the tantalum helical strands and the closed-cell structure of the nitinol material of the low-profile visualized intraluminal support. A crescent sign was observed in 27.5% and edge malapposition in 47.5% of the patients. Malapposition was not significantly associated with location (p=0.23 crescent sign, p=0.07 edge malapposition). Almost perfect (κ=0.88) and substantial (κ=0.76) agreements between the two raters were found for the detection of crescent signs and edge appositions, respectively.
Conclusions
3D fusion imaging provided clear visualization of the LVIS stent and parent arteries, and could detect malapposition with excellent inter-rater reliability. This technique may provide valuable guidance for surgeons in determining postoperative management.
更多查看译文
关键词
Aneurysm,Angiography,C-arm,Coiling,Computed tomography,Stent
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要