CT texture-based radiomics analysis of carotid arteries identifies vulnerable patients: a preliminary outcome study.
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Authors
Ganeshan, Balaji
Arca, Marcello
Rengo, Marco
Napoli, Alessandro
Groves, Ashley M
Laghi, Andrea
Carbone, Iacopo
Menezes, Leon J
Publication Date
2021-07Journal Title
Neuroradiology
ISSN
0028-3940
Publisher
Springer Science and Business Media LLC
Volume
63
Issue
7
Pages
1043-1052
Language
eng
Type
Article
This Version
AM
Physical Medium
Print-Electronic
Metadata
Show full item recordCitation
Zaccagna, F., Ganeshan, B., Arca, M., Rengo, M., Napoli, A., Rundo, L., Groves, A. M., et al. (2021). CT texture-based radiomics analysis of carotid arteries identifies vulnerable patients: a preliminary outcome study.. Neuroradiology, 63 (7), 1043-1052. https://doi.org/10.1007/s00234-020-02628-0
Abstract
PURPOSE: To assess the potential role of computed tomography (CT) texture analysis (CTTA) in identifying vulnerable patients with carotid artery atherosclerosis. METHODS: In 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 filtration-histogram technique to extract features at different scales corresponding to spatial scale filter (fine = 2 mm, medium = 3 mm, coarse = 4 mm), 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 or the greatest degree of stenosis, in presence of an atherosclerotic plaque, on each side. RESULTS: CTTA 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. CONCLUSION: Our 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.
Keywords
Carotid Arteries, Humans, Tomography, X-Ray Computed, Case-Control Studies, Pilot Projects, Outcome Assessment, Health Care
Embargo Lift Date
2022-07-31
Identifiers
External DOI: https://doi.org/10.1007/s00234-020-02628-0
This record's URL: https://www.repository.cam.ac.uk/handle/1810/325086
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