Original ArticleAnalysis of Multiple Intracranial Aneurysms with Different Outcomes in the Same Patient After Endovascular Treatment
Introduction
Endovascular treatment of intracranial aneurysms is an accepted alternative to microsurgical clipping, with lower morbidity and mortality rates.1 However, the relatively higher rate of recanalization is a major issue for endovascular treatment.1, 2, 3, 4 The mechanisms that lead to aneurysm recanalization are complex and mainly affected by patient-related factors, aneurysm-specific factors, treatment-related factors, and hemodynamics-related factors.2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21 However, not all studies controlled for patient-related factors (patient age, sex, smoking, drinking, hypertension, antiplatelet drugs), disregarding such factors as confounding factors for aneurysm recanalization, when comparing aneurysm-specific and/or treatment-related factors among different patients. More recently, to remove the confounding effect of patients' characteristics on aneurysm rupture risk, some studies introduced multiple intracranial aneurysms.22, 23 Similarly, analyses between recanalized and stable aneurysms in the same patient are of great value, as multiple aneurysms with different outcomes after the same initial treatment method, such as endovascular embolization, are extremely rare, and the findings may provide an important reference.
To our knowledge, this was the first study to evaluate aneurysm-specific, treatment-related, and hemodynamics-related factors associated with aneurysm recanalization of multiple intracranial aneurysms with strict inclusion criteria and to explore the reason why one aneurysm recanalized and the other did not. This study design is of great value because it eliminates the inherent confounding effects, and thus the results may be more valid.
Section snippets
Patients and Aneurysms
All medical data were acquired for diagnostic purposes, and the ethics committee of our hospital approved the retrospective study. Between 2010 and 2015, 763 multiple intracranial aneurysms in 326 patients were diagnosed by digital subtraction angiography (DSA) at our institution. Patients were screened retrospectively based on the following inclusion criteria: 1) for comparison in each patient, at least 2 saccular aneurysms were occluded by endovascular treatment and evaluated at follow-up by
Characteristics of Patients and Aneurysms
There were 13 patients 35–63 years old (mean age 51.62 years) studied, 11 (84.62%) women and 2 (15.38%) men (Table 1). The most common aneurysm site was the internal carotid artery (23 of 26). Of aneurysms, 18 were treated by single ENTERPRISE stent–assisted coiling, and the others were treated by coiling only. Recanalized aneurysms underwent retreatment with coils (cases 1, 6, 10, and 11) and a Low-Profile Visualized Intraluminal Support device (LVIS; MicroVention-Terumo, Tustin, California,
Discussion
The ultimate goal of endovascular treatment is to exclude the aneurysm sac from the native intracranial circulation. In contrast to clips, coils separate arterial tissue and keep the aneurysm orifice open, permitting perfusion of the aneurysm between the clefts of coil, which is not beneficial for endothelialization across the neck.34 Therefore, aneurysm recanalization after endovascular treatment remains a major issue. To identify factors related to recanalization and reduce the risk of
Conclusions
Using a combination of aneurysm-specific, treatment-related, and hemodynamics-related analysis, we found that small aneurysm size and neck width, unruptured aneurysm, and perianeurysmal hemodynamics with marked reduction were important factors associated with midterm durability of aneurysm embolization. Multiple intracranial aneurysms with different outcomes after endovascular treatment may be a useful disease model in which patient-specific risk factors are balanced to investigate possible
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Conflict of interest statement: This work was supported by the National Natural Science Foundation of China Grant Nos. 81301003, 81171079, 81471167, 81371315, and 81220108007; Special Research Project for Capital Health Development Grant No. 2014-1-1071; and National Institutes of Health Grant No. R01NS 091075.
Linkai Jing and Jian Liu are co–first authors.