A novel imaging biomarker for prediction of cerebrovascular ischemic events: Pericarotid fat density.
Am J Emerg Med
; 84: 130-134, 2024 Oct.
Article
en En
| MEDLINE
| ID: mdl-39116673
ABSTRACT
BACKGROUND:
To investigate the relationship between pericarotid fat density measured in carotid CTA and vulnerable carotid plaque.METHODS:
This retrospective study included 374 participants who underwent carotid CTA between June 1, 2021, and December 1, 2021 (234 males, median age 68 years [interquartile range 61-75]). Two groups, symptomatic and asymptomatic, were defined based on either diffusion-weighted MRI or a clinical history of acute ischemia or TIA within 6 months before or after CTA. The relationship between pericarotid fat density and cerebrovascular ischemic events was assessed using receiver operating characteristic analysis and binary logistic regression analysis.RESULTS:
In the symptomatic group (n = 135), mean pericarotid fat density (-63.3 ± 21.7 vs. -81.7 ± 16.9 HU, respectively; p < 0.001) and median maximum plaque thickness (4 [interquartile range 3-6] vs. 3.7 [interquartile range 2.6-4.7] mm, respectively; p = 0.002) were higher, while plaque density (42.1 ± 19.6 vs. 50.6 ± 20.4 HU, respectively; p = 0.001) was lower compared to the asymptomatic group. Pericarotid fat density (OR 1.038, 95% CI 1.023-1.053, p < 0.001) was identified as an independent predictor for symptomatic patients. The optimal cut-off value for pericarotid fat density predicting symptomatic patients was estimated as -74 HU (area under the curve 0.753, 95% CI0.699-0.808, p < 0.001). Inter-reader agreement for pericarotid fat density was found to be almost perfect (intraclass correlation coefficient 0.818, 95% CI 0.770-0.856, p < 0.001).CONCLUSION:
Pericarotid fat density may serve as an imaging biomarker in predicting acute cerebrovascular ischemic events.Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Tejido Adiposo
Límite:
Aged
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Female
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Humans
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Male
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Middle aged
Idioma:
En
Revista:
Am J Emerg Med
Año:
2024
Tipo del documento:
Article
Pais de publicación:
Estados Unidos