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Correspondence on " 'An eye for an eye' therapeutic strategy for cavernous sinus dural arteriovenous fistula" by Xu .
J Neurointerv Surg
January 2025
Department of Neurosurgery, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
Efficacy and safety of the PHIL embolic agent in the treatment of intracranial dural arteriovenous fistulas: results of the PHIL-dAVF study.
J Neurointerv Surg
January 2025
Diagnostic and Therapeutic Neuroradiology, Hôpital Purpan, Toulouse, France.
Background And Purpose: Embolization is the first-line treatment for dural arteriovenous fistulas (dAVF). The precipitating hydrophobic injectable liquid (PHIL) embolic agent is a non-adhesive copolymer with specific features and endovascular behavior. This study assessed its safety and efficacy in a prospective real-life cohort.
View Article and Find Full Text PDFTransradial cerebral angiography in the neonate and infant: a case series.
J Neurointerv Surg
January 2025
Radiology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
Background: We aim to share our experience of transradial access (TRA) for cerebral angiography and intervention in five patients ranging from 6 days to 7 months of age.
Methods: In this institutional review board-approved, retrospective case series, we reviewed all patients who underwent TRA for cerebral angiography with and without intervention. We describe three techniques for radial artery cannulation, namely: (1) bareback; (2) with a micropuncture sheath; and (3) with an intravenous catheter.
Classification of arteriovenous fistula sounds using a convolutional block attention module and long short-term memory neural network.
Front Physiol
December 2024
Department of Nephrology, People's Hospital of Zhengzhou University, Zhengzhou, China.
The assessment of vascular accessibility in patients undergoing hemodialysis is predominantly reliant on manual inspection, a method that is associated with several limitations. In this study, we propose an alternative approach by recording the acoustic signals produced by the arteriovenous fistula (AVF) and employing deep learning techniques to analyze these sounds as an objective complement to traditional AVF evaluation methods. Auscultation sounds were collected from 800 patients, with each recording lasting between 24 and 30 s.
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