Yield of diagnostic imaging in atraumatic convexity subarachnoid hemorrhage.


Journal

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

Informations de publication

Date de publication:
Dec 2019
Historique:
accepted: 08 04 2019
pubmed: 12 5 2019
medline: 6 2 2020
entrez: 12 5 2019
Statut: ppublish

Résumé

Atraumatic convexity subarachnoid hemorrhage is a subtype of spontaneous subarachnoid hemorrhage that often presents a diagnostic challenge. Common etiologies include cerebral amyloid angiopathy, vasculopathies, and coagulopathy; however, aneurysm is rare. Given the broad differential of causes of convexity subarachnoid hemorrhage, we assessed the diagnostic yield of common tests and propose a testing strategy. We performed a single-center retrospective study on consecutive patients with atraumatic convexity subarachnoid hemorrhage over a 2-year period. We obtained and reviewed each patient's imaging and characterized the frequency with which each test ultimately diagnosed the cause. Additionally, we discuss clinical features of patients with convexity subarachnoid hemorrhage with respect to the mechanism of hemorrhage. We identified 70 patients over the study period (mean (SD) age 64.70 (16.9) years, 35.7% men), of whom 58 patients (82%) had a brain MRI, 57 (81%) had non-invasive vessel imaging, and 27 (38.5%) underwent catheter-based angiography. Diagnoses were made using only non-invasive imaging modalities in 40 patients (57%), while catheter-based angiography confirmed the diagnosis in nine patients (13%). Further clinical history and laboratory testing yielded a diagnosis in an additional 17 patients (24%), while the cause remained unknown in four patients (6%). The etiology of convexity subarachnoid hemorrhage may be diagnosed in most cases via non-invasive imaging and a thorough clinical history. However, catheter angiography should be strongly considered when non-invasive imaging fails to reveal the diagnosis or to better characterize a vascular malformation. Larger prospective studies are needed to validate this algorithm.

Identifiants

pubmed: 31076550
pii: neurintsurg-2019-014781
doi: 10.1136/neurintsurg-2019-014781
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1222-1226

Informations de copyright

© Author(s) (or their employer(s)) 2019. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

Auteurs

Katarina Dakay (K)

Department of Neurology, Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA.

Ali Mahta (A)

Department of Neurology, Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA.
Department of Neurosurgery, Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA.

Shyam Rao (S)

Department of Neurology, Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA.
Department of Neurosurgery, Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA.

Michael E Reznik (ME)

Department of Neurology, Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA.
Department of Neurosurgery, Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA.

Linda C Wendell (LC)

Department of Neurology, Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA.
Department of Neurosurgery, Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA.

Bradford B Thompson (BB)

Department of Neurology, Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA.
Department of Neurosurgery, Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA.

N Stevenson Potter (NS)

Department of Neurology, Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA.
Department of Neurosurgery, Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA.

Ali Saad (A)

Department of Neurology, Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA.

Chirag D Gandhi (CD)

Department of Neurosurgery, Westchester Medical Center at New York Medical College, Valhalla, New York, USA.

Justin Santarelli (J)

Department of Neurosurgery, Westchester Medical Center at New York Medical College, Valhalla, New York, USA.

Fawaz Al-Mufti (F)

Department of Neurosurgery, Westchester Medical Center at New York Medical College, Valhalla, New York, USA.

Brian MacGrory (B)

Department of Neurology, Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA.

Tina Burton (T)

Department of Neurology, Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA.

Mahesh V Jayaraman (MV)

Department of Neurology, Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA.
Department of Neurosurgery, Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA.
Department of Diagnostic Imaging, Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA.

Ryan A McTaggart (RA)

Department of Neurology, Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA.
Department of Neurosurgery, Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA.
Department of Diagnostic Imaging, Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA.

Karen Furie (K)

Department of Neurology, Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA.

Shadi Yaghi (S)

Department of Neurology, Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA.
Department of Neurology, NYU Langone Health, New York, New York, USA.

Shawna Cutting (S)

Department of Neurology, Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA.

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