Magnetic resonance imaging changes in spinal arteriovenous fistulae treated by endovascular means: are they reliable to predict complete cure of the fistula?

Fistula MRI Spine

Journal

Journal of neurointerventional surgery
ISSN: 1759-8486
Titre abrégé: J Neurointerv Surg
Pays: England
ID NLM: 101517079

Informations de publication

Date de publication:
31 Oct 2024
Historique:
received: 01 07 2024
accepted: 11 09 2024
medline: 1 11 2024
pubmed: 1 11 2024
entrez: 31 10 2024
Statut: aheadofprint

Résumé

Regression or disappearance of MRI abnormalities is usually observed after treatment of spinal dural arteriovenous fistulae (sDAVF). To assess the correlation between spinal MRI (sMRI) changes with sDAVF exclusion and clinical outcome. Imaging data of patients treated with endovascular embolization for sDAVF between 2007 and 2023 were retrospectively analyzed. Spinal cord edema and perimedullary flow voids at baseline and 3-months' follow-up were compared between patients with and without sDAVF persistent occlusion and clinical improvement on the Aminoff and Logue Scale. Twenty-five patients were included in this study. At 3-months' follow-up, regression of spinal cord edema was significantly associated with sDAVF persistent occlusion (P=0.038). The combination of edema and flow voids regression was significantly associated with higher odds of a cured sDAVF (P<0.001) and clinical improvement (P<0.01). Improvement in the combination of the above-mentioned sMRI signs presented high sensitivity (100% (95% CI 78.20%-100%)) and negative predictive value (100% (95% CI 47.82%-100%)) for the detection of sDAVF cure compared with the criterion standard (digital subtraction angiography (DSA)). Patients with both spinal cord edema and flow voids regression at 3 months were more likely to present with a persistent occlusion of sDAVF and clinical improvement after endovascular embolization. Patients without sMRI improvement should be referred for DSA to seek recurrence of sDAVF.

Sections du résumé

BACKGROUND BACKGROUND
Regression or disappearance of MRI abnormalities is usually observed after treatment of spinal dural arteriovenous fistulae (sDAVF).
OBJECTIVE OBJECTIVE
To assess the correlation between spinal MRI (sMRI) changes with sDAVF exclusion and clinical outcome.
METHODS METHODS
Imaging data of patients treated with endovascular embolization for sDAVF between 2007 and 2023 were retrospectively analyzed. Spinal cord edema and perimedullary flow voids at baseline and 3-months' follow-up were compared between patients with and without sDAVF persistent occlusion and clinical improvement on the Aminoff and Logue Scale.
RESULTS RESULTS
Twenty-five patients were included in this study. At 3-months' follow-up, regression of spinal cord edema was significantly associated with sDAVF persistent occlusion (P=0.038). The combination of edema and flow voids regression was significantly associated with higher odds of a cured sDAVF (P<0.001) and clinical improvement (P<0.01). Improvement in the combination of the above-mentioned sMRI signs presented high sensitivity (100% (95% CI 78.20%-100%)) and negative predictive value (100% (95% CI 47.82%-100%)) for the detection of sDAVF cure compared with the criterion standard (digital subtraction angiography (DSA)).
CONCLUSIONS CONCLUSIONS
Patients with both spinal cord edema and flow voids regression at 3 months were more likely to present with a persistent occlusion of sDAVF and clinical improvement after endovascular embolization. Patients without sMRI improvement should be referred for DSA to seek recurrence of sDAVF.

Identifiants

pubmed: 39481882
pii: jnis-2024-022176
doi: 10.1136/jnis-2024-022176
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© Author(s) (or their employer(s)) 2024. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

Auteurs

Julien Allard (J)

Department of Interventional Neuroradiology, Pitié-Salpêtrière University Hospital, Paris, France jfx.allard@gmail.com.

Pierre-Marie Chiaroni (PM)

Department of Neuroradiology, Pitié-Salpêtrière University Hospital, Paris, France.
Sorbonne Université, Paris, France.

Mahmoud Elhorany (M)

Department of Neuroradiology, Pitié-Salpêtrière University Hospital, Paris, France.

Romain Coudert (R)

Department of Neuroradiology, Pitié-Salpêtrière University Hospital, Paris, France.

Damien Parat (D)

Department of Neuroradiology, Pitié-Salpêtrière University Hospital, Paris, France.

Mehdi Bensemain (M)

Department of Neuroradiology, Pitié-Salpêtrière University Hospital, Paris, France.

Sam Ghazanfari (S)

Cerebrovascular Emergency Department, Pitié-Salpêtrière University Hospital, Paris, France.

Anne-Laure Boch (AL)

Department of Neurosurgery, Pitié-Salpêtrière University Hospital, Paris, France.

Kevin Premat (K)

Department of Neuroradiology, Pitié-Salpêtrière University Hospital, Paris, France.

Stephanie Lenck (S)

Department of Neuroradiology, Pitié-Salpêtrière University Hospital, Paris, France.

Nader-Antoine Sourour (NA)

Department of Neuroradiology, Pitié-Salpêtrière University Hospital, Paris, France.

Eimad Shotar (E)

Department of Neuroradiology, Pitié-Salpêtrière University Hospital, Paris, France.

Frédéric Clarençon (F)

Department of Neuroradiology, Pitié-Salpêtrière University Hospital, Paris, France.
Sorbonne Université, Paris, France.

Classifications MeSH