Variation of degree of stenosis quantification using different energy level with dual energy CT scanner.


Journal

Neuroradiology
ISSN: 1432-1920
Titre abrégé: Neuroradiology
Pays: Germany
ID NLM: 1302751

Informations de publication

Date de publication:
Mar 2019
Historique:
received: 13 08 2018
accepted: 20 11 2018
pubmed: 17 12 2018
medline: 9 4 2019
entrez: 17 12 2018
Statut: ppublish

Résumé

To investigate the variation in the quantification of the carotid degree of stenosis (DoS) with a dual energy computed tomography (CT), using different energy levels during the image reconstruction. In this retrospective study, 53 subjects (37 males; mean age 67 ± 11 years; age range 47-83 years) studied with a multi-energy CT scanner were included. Datasets were reconstructed on a dedicated workstation and from the CT raw data multiple datasets were generated at the following monochromatic energy levels: 66, 70, 77, and 86 kilo-electronvolt (keV). Two radiologists independently performed all measurements for quantification of the degree of stenosis. Wilcoxon test was used to test the differences between the Hounsifield unit (HU) values in the plaques at different keV. The Wilcoxon analysis showed a statistically significant difference (p = 0.001) in the DoS assessment among the different keVs selected. The Bland-Altman analysis showed that the DoS difference had a linear relation with the keV difference (the bigger is the difference in keV, the bigger is the variation in DoS) and that for different keVs, the difference in DoS is reduced with its increase. A standardization in the use of the energy level during the image reconstruction should be considered.

Identifiants

pubmed: 30554271
doi: 10.1007/s00234-018-2142-x
pii: 10.1007/s00234-018-2142-x
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

285-291

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Auteurs

Luca Saba (L)

Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.) di Cagliari, Polo di Monserrato s.s. 554 Monserrato, 09045, Cagliari, Italy. lucasaba@tiscali.it.

Giovanni Maria Argioas (GM)

Department of Radiology, AOB di Cagliari, 09045, Cagliari, Italy.

Pierleone Lucatelli (P)

Department of Radiological, Oncological and Anatomopathological Sciences-Radiology, 'Sapienza' University of Rome, Rome, Italy.

Francesco Lavra (F)

Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.) di Cagliari, Polo di Monserrato s.s. 554 Monserrato, 09045, Cagliari, Italy.

Jasjit S Suri (JS)

Diagnostic and Monitoring Division, AtheroPoint™ LLC, Roseville, CA, 95661, USA.
Department of Electrical Engineering, University of Idaho (Affl.), Moscow, ID, USA.

Max Wintermark (M)

Department of Neuroimaging and Neurointervention, Stanford University Medical Center, Stanford, CA, USA.

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Classifications MeSH