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Noise-Optimized Virtual Monoenergetic Dual-Energy CT Improves Diagnostic Accuracy for the Detection of Active Arterial Bleeding of the Abdomen.
- Source :
-
Journal of vascular and interventional radiology : JVIR [J Vasc Interv Radiol] 2017 Sep; Vol. 28 (9), pp. 1257-1266. Date of Electronic Publication: 2017 Jul 19. - Publication Year :
- 2017
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Abstract
- Purpose: To evaluate diagnostic accuracy of a noise-optimized virtual monoenergetic imaging (VMI+) reconstruction technique for detection of active arterial abdominal bleeding on dual-energy (DE) CT angiography compared with standard image reconstruction.<br />Materials and Methods: DE CT angiography data sets of 71 patients (46 men; age 63.6 y ± 13.3) with suspected arterial bleeding of the abdomen or pelvis were reconstructed with standard linearly blended (F&#95;0.5), VMI+, and traditional virtual monoenergetic imaging (VMI) algorithms in 10-keV increments from 40 to 100 keV. Attenuation measurements were performed in the descending aorta, area of hemorrhage, and feeding artery to calculate contrast-to-noise ratios (CNRs) in patients with active arterial bleeding. Based on quantitative image quality results, the best series for each reconstruction technique were chosen to analyze the diagnostic performance of 3 blinded radiologists.<br />Results: DE CT angiography showed acute arterial bleeding in 36 patients. Mean CNR was superior in 40-keV VMI+ compared with VMI series (all P < .001), which showed highest CNRs in 70-keV VMI and F&#95;0.5 (21.6 ± 7.9, 12.9 ± 4.7, and 10.4 ± 3.6) images. Area under the curve analysis for detection of arterial bleeding showed significantly superior (P < .001) results for 40-keV VMI+ (0.963) compared with 70-keV VMI (0.775) and F&#95;0.5 (0.817) series.<br />Conclusions: Diagnostic accuracy in patients with active arterial bleeding of the abdomen can be significantly improved using VMI+ reconstructions at 40 keV compared with standard linearly blended and traditional VMI series in DE CT angiography.<br /> (Copyright © 2017 SIR. Published by Elsevier Inc. All rights reserved.)
Details
- Language :
- English
- ISSN :
- 1535-7732
- Volume :
- 28
- Issue :
- 9
- Database :
- MEDLINE
- Journal :
- Journal of vascular and interventional radiology : JVIR
- Publication Type :
- Academic Journal
- Accession number :
- 28734847
- Full Text :
- https://doi.org/10.1016/j.jvir.2017.06.011