Computed Tomography Texture Analysis of Carotid Plaque as Predictor of Unfavorable Outcome after Carotid Artery Stenting : A Preliminary Study

Novel biomarkers are advocated to manage carotid plaques. Therefore, we aimed to test the association between textural features of carotid plaque at computed tomography angiography (CTA) and unfavorable outcome after carotid artery stenting (CAS). Between January 2010 and January 2021, were selected 172 patients (median age, 77 years; 112/172, 65% men) who underwent CAS with CTA of the supra-aortic vessels performed within prior 6 months. Standard descriptors of the density histogram were derived by open-source software automated analysis obtained by CTA plaque segmentation. Multiple logistic regression analysis, receiver operating characteristic (ROC) curve analysis and the area under the ROC (AUC) were used to identify potential prognostic variables and to assess the model performance for predicting unfavorable outcome (periprocedural death or myocardial infarction and any ipsilateral acute neurological event). Unfavorable outcome occurred in 17/172 (10%) patients (median age, 79 years; 12/17, 70% men). Kurtosis was an independent predictor of unfavorable outcome (odds ratio, 0.79; confidence interval, 0.65-0.97; p = 0.029). The predictive model for unfavorable outcome including CTA textural features outperformed the model without textural features (AUC 0.789 vs. 0.695, p = 0.004). In patients with stenotic carotid plaque, kurtosis derived by CTA density histogram analysis is an independent predictor of unfavorable outcome after CAS.

Medienart:

E-Artikel

Erscheinungsjahr:

2021

Erschienen:

2021

Enthalten in:

Zur Gesamtaufnahme - volume:11

Enthalten in:

Diagnostics (Basel, Switzerland) - 11(2021), 12 vom: 27. Nov.

Sprache:

Englisch

Beteiligte Personen:

Colombi, Davide [VerfasserIn]
Bodini, Flavio Cesare [VerfasserIn]
Rossi, Beatrice [VerfasserIn]
Bossalini, Margherita [VerfasserIn]
Risoli, Camilla [VerfasserIn]
Morelli, Nicola [VerfasserIn]
Petrini, Marcello [VerfasserIn]
Sverzellati, Nicola [VerfasserIn]
Michieletti, Emanuele [VerfasserIn]

Links:

Volltext

Themen:

Brain
Carotid artery disorders
Computer software applications
Journal Article
Stents
Vascular accident

Anmerkungen:

Date Revised 28.12.2021

published: Electronic

Citation Status PubMed-not-MEDLINE

doi:

10.3390/diagnostics11122214

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM334793572