Predicting difficulty in Flow Re-direction Endoluminal Device (FRED) deployment using angiography: A technical note

Hiroya Morita; Kiyoshi Kazekawa; Noriaki Tashiro; Hiroto Kawano; Hiroshi Aikawa

Neuroscience Informatics (Jun 2022)

Predicting difficulty in Flow Re-direction Endoluminal Device (FRED) deployment using angiography: A technical note

Hiroya Morita,
Kiyoshi Kazekawa,
Noriaki Tashiro,
Hiroto Kawano,
Hiroshi Aikawa

Affiliations

Hiroya Morita: Corresponding author at: Department of Neurosurgery, Fukuoka Neurosurgical Hospital, 5-3-15 Osa, Minami-ku, Fukuoka 811-1313, Japan.; Department of Neurosurgery, Fukuoka Neurosurgical Hospital, Fukuoka, Fukuoka, Japan
Kiyoshi Kazekawa: Department of Neurosurgery, Fukuoka Neurosurgical Hospital, Fukuoka, Fukuoka, Japan
Noriaki Tashiro: Department of Neurosurgery, Fukuoka Neurosurgical Hospital, Fukuoka, Fukuoka, Japan
Hiroto Kawano: Department of Neurosurgery, Fukuoka Neurosurgical Hospital, Fukuoka, Fukuoka, Japan
Hiroshi Aikawa: Department of Neurosurgery, Fukuoka Neurosurgical Hospital, Fukuoka, Fukuoka, Japan

Journal volume & issue: Vol. 2, no. 2
p. 100073

Abstract

Read online

The Flow Re-direction Endoluminal Device (FRED) is widely used to treat large intracranial unruptured cerebral aneurysms; however, some cases of deployment failure have been observed. Most of these cases occur in internal carotid artery aneurysms around the siphon. We report a method that we developed to predict the success of FRED deployment by using a preoperative angiography in simple lateral view.

Published in Neuroscience Informatics

ISSN: 2772-5286 (Online)
Publisher: Elsevier
Country of publisher: France
LCC subjects: Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry
Website: https://www.journals.elsevier.com/neuroscience-informatics

About the journal

Abstract

Keywords