Key result
Virtual monoenergetic images at 55 keV improved diagnostic accuracy for detecting incidental pulmonary embolism compared to standard CTpv images.
Why the study?
Do virtual monoenergetic images at low kiloelectronvolt levels improve diagnostic accuracy for detecting incidental pulmonary embolism in oncological follow-up portal-venous phase dual-energy CT compared to linearly blended CTpv images?
Case-Control (n=52)
Do virtual monoenergetic images at low kiloelectronvolt levels improve diagnostic accuracy for detecting incidental pulmonary embolism in oncological follow-up portal-venous phase dual-energy CT compared to linearly blended CTpv images?
Monoenergetic image reconstructions from DE-CT data sets at low kiloelectronvolt levels significantly improve diagnostic accuracy and confidence for detecting incidental pulmonary embolism in oncological follow-up portal-venous phase CT staging.
Answers are grounded in this paper and cite their sources.
May enhance incidental PE detection on oncologic portal-venous CT; leaves open prospective validation before practice change.
OBJECTIVES: The aim of this study was to evaluate the diagnostic accuracy of virtual monoenergetic images (MEI+) at low kiloelectronvolt levels for the detection of incidental pulmonary embolism (PE) in oncological follow-up portal-venous phase dual-energy (DE-CTpv) staging. MATERIALS AND METHODS: Twenty-six patients with incidental PE in DE-CTpv staging, which was confirmed by computed tomography pulmonary angiography (CTPA), were included in this study. In addition, 26 matched control patients who were negative for PE in both DE-CTpv and CTPA were included. All examinations were performed on a third-generation DE-CT system in single-energy (CTPA) and dual-energy mode (DE-CTpv). Subsequently, 2 series of MEI+ data sets were reconstructed at 40 and 55 keV from the DE-CTpv data and compared with CTPA and the linearly blended CTpv images. Diagnostic accuracy and diagnostic confidence were calculated and compared for MEI+ reconstructions and for CTpv images regarding the detection of PE with CTPA as standard of reference. RESULTS: In 3 patients, PE was only detectable in CTPA and in the 40-kV and 55-kV MEI+ reconstructions but not in CTpv images. Diagnostic accuracy increased significantly for both MEI+ series (40 keV; area under the curve [AUC], 0.928; 95% confidence interval [CI], 0.879-0.978; 55 keV; AUC, 0.960; 95% CI, 0.922-0.998) as compared with CTpv (AUC, 0.814; 95% CI, 0.741-0.887; P ≤ 0.004). Diagnostic confidence was rated highest in CTPA (median, 5; range, 3-5) followed by 55-keV MEI+ and 40-keV MEI+ (median, 5; range, 2-5 and median, 5; range, 2-5, respectively) and was lowest for CTpv (median, 4; range, 1-5), with significant differences to CTPA and MEI+ reconstructions (P ≤ 0.001). CONCLUSIONS: Monoenergetic image reconstructions from DE-CT data sets at low kiloelectronvolt levels improve diagnostic accuracy for the detection of incidental PE in oncological follow-up DE-CTpv staging, with the highest subjective diagnostic confidence in MEI+ at 55 keV.
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Weiß et al. (2016) conducted a case-control in Incidental pulmonary embolism (n=52). Virtual monoenergetic images (MEI+) from DE-CTpv data vs. Linearly blended CTpv images was evaluated on Diagnostic accuracy for detecting incidental PE (AUC, 95% CI 0.922-0.998, p=≤ 0.004). Virtual monoenergetic images at 55 keV improved diagnostic accuracy for detecting incidental pulmonary embolism compared to standard CTpv images.
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