Yield of diagnostic imaging in atraumatic convexity subarachnoid hemorrhage

Author:

Dakay Katarina,Mahta Ali,Rao Shyam,Reznik Michael E,Wendell Linda C,Thompson Bradford B,Potter N Stevenson,Saad Ali,Gandhi Chirag D,Santarelli Justin,Al-Mufti Fawaz,MacGrory Brian,Burton Tina,Jayaraman Mahesh V,McTaggart Ryan A,Furie Karen,Yaghi Shadi,Cutting Shawna

Abstract

IntroductionAtraumatic 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.MethodsWe 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.ResultsWe 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%).ConclusionThe 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.

Publisher

BMJ

Subject

Neurology (clinical),General Medicine,Surgery

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