Prediction of degree of carotid stenosis with the transluminal attenuation difference ratio.


Journal

Diagnostic and interventional radiology (Ankara, Turkey)
ISSN: 1305-3612
Titre abrégé: Diagn Interv Radiol
Pays: Turkey
ID NLM: 101241152

Informations de publication

Date de publication:
May 2020
Historique:
pubmed: 20 2 2020
medline: 3 3 2021
entrez: 20 2 2020
Statut: ppublish

Résumé

We aimed to assess the diagnostic performance of transluminal attenuation difference (TAD) in predicting the severity of internal carotid artery (ICA) stenosis. The study cohort consisted of 48 patients with <50% stenosis, 50%-69% stenosis, 70%-99% stenosis, and 51 controls without plaque development in ICA. A total of 143 measurements were performed through right and left internal and common carotid arteries. The TAD ratio was calculated as the difference between the mean attenuation values of the common carotid artery (CCA) and ICA, divided by the MAV of the CCA, multiplied by 100. TAD ratio was significantly higher in severe (>70%) stenosis compared with control arteries and low-moderate stenosis. A TAD ratio cutoff of 4.5 predicted 70%-99% stenosis with a sensitivity of 100% and specificity of 93%. The inter- and intraobserver agreements in TAD measurements were almost perfect (ICC, 0.89-0.86). Assessment of TAD ratio predicts the degree of stenosis in concordance with NASCET system.

Identifiants

pubmed: 32071030
doi: 10.5152/dir.2019.19259
pmc: PMC7239356
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

249-254

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Auteurs

Ayşegül Gürsoy Çoruh (A)

Department of Radiology, Ankara University School of Medicine, Ankara, Turkey.

Elif Peker (E)

Department of Radiology, Ankara University School of Medicine, Ankara, Turkey.

Başak Gülpınar (B)

Department of Radiology, Ankara University School of Medicine, Ankara, Turkey.

Mine Hayriye Sorgun (MH)

Department of Neurology, Ankara University School of Medicine, Ankara, Turkey.

Atilla Halil Elhan (AH)

Department of Biostatistics, Ankara University School of Medicine, Ankara, Turkey.

Ömer Suat Fitoz (ÖS)

Department of Radiology, Ankara University School of Medicine, Ankara, Turkey.

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Classifications MeSH