Outcomes of middle meningeal artery embolization for treating chronic subdural hematoma
HTML: 342
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Authors
The study evaluates chronic subdural hematoma (cSDH) middle meningeal artery (MMA) embolization efficacy and safety. A prospective interventional study was conducted in Viet Duc Hospital from November 2021 to April 2024. All consecutive cSDH MMA embolization patients were included. Clinical and imaging data were collected before and one month after treatment. The study included 31 42-cSDH patients. Of these, 25.8% had hematoma evacuation, 83.9% were treated with surgery and embolization, and 16.1% with embolization alone. 92.9% of procedures used polyvinyl alcohol particles. The success rate was 92.9% and complications 7.1%. Asymptomatic external carotid artery vasospasm and MMA rupture occurred. Functional improvement occurred in 91.7% of patients one month after treatment. Significantly lower mean modified Rankin Scale (mRS) score (0.2±0.7 vs. 1.7±0.9; P=0.000) and higher proportion of patients with ≤2 mRS score (95.8% vs. 74.1%) were observed after treatment. Hematoma thickness decreased significantly (P=0.00) from 21.5±7.9 mm to 8.3±4.1 mm. The midline shift decreased significantly from 7.4±5.0 mm to 0.7±1.2 mm (P=0.00). Just one patient (4.2%) needed surgery. MMA embolization alone or with surgery appears to treat cSDH safely and effectively.
Downloads
PlumX Metrics
PlumX Metrics provide insights into the ways people interact with individual pieces of research output (articles, conference proceedings, book chapters, and many more) in the online environment. Examples include, when research is mentioned in the news or is tweeted about. Collectively known as PlumX Metrics, these metrics are divided into five categories to help make sense of the huge amounts of data involved and to enable analysis by comparing like with like.
How to Cite
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
PAGEPress has chosen to apply the Creative Commons Attribution NonCommercial 4.0 International License (CC BY-NC 4.0) to all manuscripts to be published.