Feasibility and Safety of Cone-Beam Computed Tomography Advanced Navigation to Optimize Intra-arterial Chemotherapy Infusion of Skull Base Tumors

锥形束计算机断层扫描先进导航技术在优化颅底肿瘤动脉内化疗灌注中的可行性和安全性

阅读:1

Abstract

Purpose  To assess the feasibility and safety of cone-beam computed tomography (CBCT) advanced navigation for optimizing intra-arterial chemotherapy infusion (IACI) in patients with skull base tumors. Materials and Methods  Retrospective review on 10 consecutive IACI procedures performed in five patients (four women, 1 man) over a 1-year period. The median age of the patients was 71 years (interquartile range: 34-74). During the procedures, a CBCT-based navigation software was employed to evaluate tumor perfusion and guide the infusion methods. Catheterization of the primary tumor feeding vessel was performed in seven cases when it originated from the external carotid artery, whereas a temporary balloon-assisted occlusion technique was utilized in the remaining three cases where the tumor was primarily fed by the internal carotid artery. Carboplatin, topotecan, and melphalan were injected over a 10-minute period. Fluoroscopy time, reference dose, and Kerma area product, which estimates effective dose, were analyzed. Results  The technical success rate was 100%, with a median procedure length of 82 minutes (79-90). The median fluoroscopy time was 11.3 minutes (9.4-16.9), reference dose was 93.5 mGy (62-256.5), and Kerma area product was 11.6 Gy.cm (2) (9.5-25.4). The median effective dose was 3.8 mSv (1.5-5.1). The median follow-up duration was 233.5 days (186.3-432). One severe adverse event was reported, involving a right brachial hematoma and brachiocephalic artery dissection related to catheterization through a type III aortic arch. Three patients exhibited disease progression, but two patients showed stable disease. Conclusion  IACI for skull base tumors guided by CBCT navigation is both feasible and safe.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。