Literature DB >> 26396107

Thrombus length discrepancy on dual-phase CT can predict clinical outcome in acute ischemic stroke.

Mina Park1, Kyung-Eun Kim1, Na-Young Shin2, Seung-Koo Lee1, Soo Mee Lim3, Dongbeom Song4, Ji Hoe Heo4, Jin Woo Kim5, Se Won Oh6.   

Abstract

OBJECTIVES: The thrombus length may be overestimated on early arterial computed tomography angiography (CTA) depending on the collateral status. We evaluated the value of a grading system based on the thrombus length discrepancy on dual-phase CT in outcome prediction.
METHODS: Forty-eight acute ischemic stroke patients with M1 occlusion were included. Dual-phase CT protocol encompassed non-contrast enhanced CT, CTA with a bolus tracking technique, and delayed contrast enhanced CT (CECT) performed 40s after contrast injection. The thrombus length discrepancy between CTA and CECT was graded by using a three-point scale: G0 = no difference; G1 = no difference in thrombus length, but in attenuation distal to thrombus; G2 = difference in thrombus length. Univariate and multivariate analyses were performed to define independent predictors of poor clinical outcome at 3 months.
RESULTS: The thrombus discrepancy grade showed significant linear relationships with both the collateral status (P = 0.008) and the presence of antegrade flow on DSA (P = 0.010) with good interobserver agreement (κ = 0.868). In a multivariate model, the presence of thrombus length discrepancy (G2) was an independent predictor of poor clinical outcome [odds ratio = 11.474 (1.350-97.547); P =0.025].
CONCLUSIONS: The presence of thrombus length discrepancy on dual-phase CT may be a useful predictor of unfavourable clinical outcome in acute M1 occlusion patients. KEY POINTS: • Early arterial phase CTA may underestimate thrombus length. • Thrombus length discrepancy grade reflects collateral status or presence of antegrade flow. • Outcome prediction may be better with thrombus length grade than collateral score.

Entities:  

Keywords:  Brain Infarction; Middle cerebral artery; Neuroimaging; Stroke; Tomography, X-Ray computed

Mesh:

Substances:

Year:  2015        PMID: 26396107     DOI: 10.1007/s00330-015-4018-3

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  31 in total

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