Visibility of bronchial arteries using virtual and advanced virtual monoenergetic imaging.
Acta Radiol
; 61(12): 1618-1627, 2020 Dec.
Article
em En
| MEDLINE
| ID: mdl-32429673
BACKGROUND: The utility of virtual monoenergetic imaging (VMI) for fine arteries has not been well clarified. PURPOSE: To assess bronchial artery visualization using VMI and noise-optimized advanced VMI (VMI+). MATERIAL AND METHODS: Eighty-seven patients with esophageal cancer underwent computed tomography (CT) using a third-generation dual-source system before surgery. Tube voltages were set to 90 kVp and 150 kVp, respectively. Images were reconstructed using VMI and VMI+ with energy levels of 40-120 keV (in 10-keV increments); composite images equivalent to CT images at 105 kVp were also generated. The CT attenuation value and contrast-to-noise ratio (CNR) of bronchial arteries using VMI and VMI+ were compared with those obtained using composite imaging. Two radiologists subjectively analyzed bronchial artery visualization with reference to the composite image. RESULTS: CT attenuation values for bronchial arteries using VMI at 40-60 keV and VMI+ at 40 keV and 50 keV were significantly higher than those obtained using composite imaging (P < 0.05). CNR using VMI at 40-60 keV was significantly higher than that obtained using composite imaging (P < 0.05), whereas no differences were noted for values obtained using composite imaging between VMI+ at 40 keV and 50 keV. In the subjective analysis, VMI at 40 keV and 50 keV yielded significantly better visibility of bronchial arteries than VMI+ (P < 0.05). CONCLUSION: VMI and VMI+ at low voltages (40-50 keV) may be useful for bronchial artery visualization. VMI+ may be less effective for fine vessels as bronchial artery visualization.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Artérias Brônquicas
/
Angiografia por Tomografia Computadorizada
Limite:
Adult
/
Aged
/
Aged80
/
Female
/
Humans
/
Male
/
Middle aged
Idioma:
En
Revista:
Acta Radiol
Ano de publicação:
2020
Tipo de documento:
Article