• Journal of Korean Neurosurgical Society
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• 제61권2호
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• pp.282-286
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• 2018

True extracranial carotid artery aneurysms (ECCAs) are uncommon. Atherosclerosis is the most common etiological factor. Neck pain, a pulsatile mass and murmur at auscultation are the most common symptoms. ECCAs may exhibit severe clinical manifestations due to complications. Cases of rupture can be fatal. There is a risk of distal embolization and stroke in thrombosed cases. We discuss two cases of enlarged ECCA treated surgically in the light of the most recent literature.

• Journal of Korean Neurosurgical Society
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• 제67권2호
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• pp.166-176
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• 2024

Objective : Three-dimensional (3D) printing in vascular surgery is trending and is useful for the visualisation of intracranial aneurysms for both surgeons and trainees. The 3D models give the surgeon time to practice before hand and plan the surgery accordingly. The aim of this study was to examine the effect of preoperative planning with 3D printing models of aneurysms in terms of surgical time and patient outcomes. Methods : Forty patients were prospectively enrolled in this study and divided into two groups : groups I and II. In group I, only the angiograms were studied before surgery. Solid 3D modelling was performed only for group II before the operation and was studied accordingly. All surgeries were performed by the same senior vascular neurosurgeon. Demographic data, surgical data, both preoperative and postoperative modified Rankin scale (mRS) scores, and Glasgow outcome scores (GOS) were evaluated. Results : The average time of surgery was shorter in group II, and the difference was statistically significant between the two groups (p<0.001). However, no major differences were found for the GOS, hospitalisation time, or mRS. Conclusion : This study is the first prospective study of the utility of 3D aneurysm models. We show that 3D models are useful in surgery preparation. In the near future, these models will be used widely to educate trainees and pre-plan surgical options for senior surgeons.