MRI and CT imaging biomarkers of cerebral amyloid angiopathy in lobar intracerebral hemorrhage

脑淀粉样血管病 医学 脑出血 磁共振成像 蛛网膜下腔出血 神经影像学 放射科 病理 内科学 痴呆 疾病 精神科
作者
Ghil Schwarz,Gargi Banerjee,Isabel C. Hostettler,Gareth Ambler,David Seiffge,Hatice Özkan,Simone Browning,Robert Simister,Duncan Wilson,Hannah Cohen,Tarek Yousry,Rustam Al‐Shahi Salman,Gregory Y.H. Lip,Martin M. Brown,Keith W. Muir,Henry Houlden,Hans Rolf Jäger,David J. Werring
出处
期刊:International Journal of Stroke [SAGE]
卷期号:18 (1): 85-94 被引量:21
标识
DOI:10.1177/17474930211062478
摘要

BACKGROUND: Cerebral amyloid angiopathy (CAA), a common cause of intracerebral hemorrhage (ICH), is diagnosed using the Boston criteria including magnetic resonance imaging (MRI) biomarkers (cerebral microbleeds (CMBs) and cortical superficial siderosis (cSS). The simplified Edinburgh criteria include computed tomography (CT) biomarkers (subarachnoid extension (SAE) and finger-like projections (FLPs)). The underlying mechanisms and diagnostic accuracy of CT compared to MRI biomarkers of CAA are unknown. METHODS: We included 140 survivors of spontaneous lobar supratentorial ICH with both acute CT and MRI. We assessed associations between MRI and CT biomarkers and the diagnostic accuracy of CT- compared to MRI-based criteria. RESULTS: FLPs were more common in patients with strictly lobar CMB (44.7% vs 23.5%; p = 0.014) and SAE was more common in patients with cSS (61.3% vs 31.2%; p = 0.002). The high probability of the CAA category of the simplified Edinburgh criteria showed 87.2% (95% confidence interval (CI): 78.3-93.4) specificity, 29.6% (95% CI: 18.0-43.6) sensitivity, 59.3% (95% CI: 38.8-77.6) positive predictive value, and 66.4% (95%: CI 56.9-75.0) negative predictive value, 2.3 (95% CI: 1.2-4.6) positive likelihood ratio and 0.8 (95% CI 0.7-1.0) negative likelihood ratio for probable CAA (vs non-probable CAA), defined by the modified Boston criteria; the area under the receiver operating characteristic curve (AUROC) was 0.62 (95% CI: 0.54-0.71). CONCLUSION: In lobar ICH survivors, we found associations between putative biomarkers of parenchymal CAA (FLP and strictly lobar CMBs) and putative biomarkers of leptomeningeal CAA (SAE and cSS). In a hospital population, CT biomarkers might help rule-in probable CAA (diagnosed using the Boston criteria), but their absence is probably not as useful to rule it out, suggesting an important continued role for MRI in ICH survivors with suspected CAA.
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