CT texture-based radiomics analysis of carotid arteries identifies vulnerable patients: a preliminary outcome study.
dc.contributor.author | Zaccagna, Fulvio | |
dc.contributor.author | Ganeshan, Balaji | |
dc.contributor.author | Arca, Marcello | |
dc.contributor.author | Rengo, Marco | |
dc.contributor.author | Napoli, Alessandro | |
dc.contributor.author | Rundo, Leonardo | |
dc.contributor.author | Groves, Ashley M | |
dc.contributor.author | Laghi, Andrea | |
dc.contributor.author | Carbone, Iacopo | |
dc.contributor.author | Menezes, Leon J | |
dc.date.accessioned | 2021-07-12T23:32:35Z | |
dc.date.available | 2021-07-12T23:32:35Z | |
dc.date.issued | 2021-07 | |
dc.identifier.issn | 0028-3940 | |
dc.identifier.uri | https://www.repository.cam.ac.uk/handle/1810/325086 | |
dc.description.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. | |
dc.format.medium | Print-Electronic | |
dc.language | eng | |
dc.publisher | Springer Science and Business Media LLC | |
dc.rights | All rights reserved | |
dc.subject | Carotid Arteries | |
dc.subject | Humans | |
dc.subject | Tomography, X-Ray Computed | |
dc.subject | Case-Control Studies | |
dc.subject | Pilot Projects | |
dc.subject | Outcome Assessment, Health Care | |
dc.title | CT texture-based radiomics analysis of carotid arteries identifies vulnerable patients: a preliminary outcome study. | |
dc.type | Article | |
prism.endingPage | 1052 | |
prism.issueIdentifier | 7 | |
prism.publicationDate | 2021 | |
prism.publicationName | Neuroradiology | |
prism.startingPage | 1043 | |
prism.volume | 63 | |
dc.identifier.doi | 10.17863/CAM.72541 | |
dcterms.dateAccepted | 2020-12-17 | |
rioxxterms.versionofrecord | 10.1007/s00234-020-02628-0 | |
rioxxterms.version | AM | |
rioxxterms.licenseref.uri | http://www.rioxx.net/licenses/all-rights-reserved | |
rioxxterms.licenseref.startdate | 2021-07 | |
dc.contributor.orcid | Zaccagna, Fulvio [0000-0001-6838-9532] | |
dc.contributor.orcid | Rundo, Leonardo [0000-0003-3341-5483] | |
dc.identifier.eissn | 1432-1920 | |
rioxxterms.type | Journal Article/Review | |
cam.issuedOnline | 2021-01-03 | |
cam.orpheus.success | Mon Jul 19 11:29:45 BST 2021 - Embargo updated | |
rioxxterms.freetoread.startdate | 2022-07-31 |
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