Prevalence and the predictive performance of the dynamic CT-angiography spot sign in an observational cohort with intracerebral hemorrhage.


Journal

Medicine
ISSN: 1536-5964
Titre abrégé: Medicine (Baltimore)
Pays: United States
ID NLM: 2985248R

Informations de publication

Date de publication:
20 Nov 2020
Historique:
entrez: 21 11 2020
pubmed: 22 11 2020
medline: 15 12 2020
Statut: ppublish

Résumé

The CT-angiography (CTA) spot sign is a predictor of hematoma expansion (HE). We have previously reported on the use of dynamic CTA (dCTA) to detect spot sign, and to study its formation over the acquisition period. In this study, we report the frequency of dCTA spot sign in acute intracerebral hemorrhage, its sensitivity and specificity to predict HE, and explore the rate of contrast extravasation in relation to hematoma growth.We enrolled consecutive patients presenting with primary intracerebral hemorrhage within 4.5 hours. All patients underwent a dCTA protocol acquired over 60 seconds following contrast injection. We calculated frequency of the dCTA spot sign, predictive performance, and rate of contrast extravasation. We compared extravasation rates to the dichotomous definition of significant HE (defined as 6 mL or 33% growth).In 78 eligible patients, dCTA spot sign frequency was 44.9%. In 61 patients available for expansion analysis, sensitivity and specificity of dCTA spot sign was 65.4% and 62.9%, respectively. Contrast extravasation rate did not significantly predict HE (Odds Ratio 15.6 for each mL/min [95% confidence interval 0.30-820.25], P = .17). Correlation between extravasation rate and HE was low (r = 0.297, P= .11). Patients with significant HE had a higher rate of extravasation as compared to those without (0.12 mL/min vs 0.04 mL/min, P = .03).Dynamic CTA results in a higher frequency of spot sign positivity, but with modest sensitivity and specificity to predict expansion. Extravasation rate is likely related to HE, but a single measurement may be insufficient to predict the magnitude of expansion.

Identifiants

pubmed: 33217856
doi: 10.1097/MD.0000000000023278
pii: 00005792-202011200-00071
pmc: PMC7676581
doi:

Types de publication

Journal Article Observational Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

e23278

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Auteurs

Dar Dowlatshahi (D)

Department of Medicine.
School of Epidemiology and Public Health, University of Ottawa and Ottawa Hospital Research Institute, Ottawa.

Hee Sahng Chung (HS)

Department of Medicine.

Michael Reaume (M)

Department of Medicine.

Matthew J Hogan (MJ)

Department of Medicine.

Dylan Blacquiere (D)

Department of Medicine.

Grant Stotts (G)

Department of Medicine.

Michel Shamy (M)

Department of Medicine.

Franco Momoli (F)

School of Epidemiology and Public Health, University of Ottawa and Ottawa Hospital Research Institute, Ottawa.

Richard Aviv (R)

Division of Neuroradiology and Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada.

Andrew M Demchuk (AM)

Departments of Clinical Neurosciences and Radiology, Hotchkiss Brain Institute, University of Calgary, Calgary, AB.

Santanu Chakraborty (S)

Department of Medical Imaging, University of Ottawa and Ottawa Hospital Research Institute, Ottawa, Canada.

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Classifications MeSH