Spectral CT in patients with acute thoracoabdominal bleeding-a safe technique to improve diagnostic confidence and reduce dose?


Journal

Medicine
ISSN: 1536-5964
Titre abrégé: Medicine (Baltimore)
Pays: United States
ID NLM: 2985248R

Informations de publication

Date de publication:
Jun 2019
Historique:
entrez: 25 6 2019
pubmed: 25 6 2019
medline: 10 7 2019
Statut: ppublish

Résumé

Computed tomography (CT) protocols for the detection of bleeding sources often include unenhanced CT series to distinguish contrast agent extravasation from calcification. This study evaluates whether virtual non-contrast images (VNC) can safely replace real non-contrast images (RNC) in the search for acute thoracoabdominal bleeding and whether monoenergetic imaging can improve the detection of the bleeding source.The 32 patients with active bleeding in spectral CT angiography (SCT) were retrospectively analyzed. RNC and SCT series were acquired including VNC and monoenergetic images at 40, 70, and 140 keV. CT numbers were measured in regions of interest (ROIs) in different organs and in the bleeding jet for quantitative image analysis (contrast-to-noise ratios [CNR] and signal-to-noise ratio [SNR]). Additionally, 2 radiologists rated detectability of the bleeding source in the different CT series. Wilcoxon rank test for related samples was used.VNC series suppressed iodine sufficiently but not completely (CT number of aorta: RNC: 33.3±12.3, VNC: 44.8 ± 9.5, P = .01; bleeding jet: RNC: 43.1 ± 16.9, VNC: 56.3 ± 16.7, P = .02). VNC showed significantly higher signal-to-noise ratios than RNC for all regions investigated. Contrast-to-noise ratios in the bleeding jet were significantly higher in 40 keV images than in standard 140 keV images. The 40 keV images were also assigned the best subjective ratings for bleeding source detection.VNC can safely replace RNC in a CT protocol used to search for bleeding sources, thereby reducing radiation exposure by 30%. Low-keV series may enhance diagnostic confidence in the detection of bleeding sources.

Identifiants

pubmed: 31232952
doi: 10.1097/MD.0000000000016101
pii: 00005792-201906210-00036
pmc: PMC6636944
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e16101

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Auteurs

Johannes Kahn (J)

Department of Radiology, Charité, Berlin.

Uli Fehrenbach (U)

Department of Radiology, Charité, Berlin.

Georg Böning (G)

Department of Radiology, Charité, Berlin.

Felix Feldhaus (F)

Department of Radiology, Charité, Berlin.

Martin Maurer (M)

Department of Diagnostic, Interventional and Pediatric Radiology, Inselspital, University of Bern, Bern.

Diane Renz (D)

Department of Radiology, University of Jena, Jena.

Florian Streitparth (F)

Department of Radiology, Ludwig-Maximilians-University, München, Germany.

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