To assess the potential role of Computed Tomography (CT) texture analysis (CTTA) in identifying vulnerable patients with carotid artery atherosclerosis.
MethodsIn this case-control pilot study, 12 patients with carotid atherosclerosis and a subsequent history of Transient Ischemic Attack or Stroke were age and sex matched with 12 control cases with asymptomatic carotid atherosclerosis (follow-up time 103.58±9.2 months).CTTA was performed using a commercially available research software package (TexRAD) by an operator blinded to clinical data. CTTA comprised a filtrationhistogram technique to extract features at different scales corresponding to spatial scale filter (fine=2mm, medium=3mm, coarse=4mm), followed by quantification using histogram-based statistical parameters: mean, kurtosis, skewness, entropy, standard deviation and mean value of positive pixels. A single axial slice was selected to best represent the largest cross-section of the carotid bifurcation on each side.
ResultsCTTA revealed a statistically significant difference in skewness between symptomatic and asymptomatic patients at the medium (0.22±0.35 vs -0.18±0.39, p<0.001) and coarse (0.23±0.22 vs 0.03±0.29, p=0.003) texture scales. At the fine-texture scale, skewness (0.20±0.59 vs -0.18±0.58, p=0.009) and standard deviation (366.11±117.19 vs 300.37±82.51, p=0.03) were significant before correction.
ConclusionOur pilot study highlights the potential of CTTA to identify vulnerable patients in stroke and TIA. CT texture may have the potential to act as a novel risk stratification tool in patients with carotid atherosclerosis.