dc.creatorMeyer, Mathias
dc.creatorNelson, Rendon
dc.creatorVernuccio, Federica
dc.creatorGonzález, Fernando
dc.creatorFarjat, Alfredo
dc.creatorPatel, Bhavik
dc.creatorSamei, Ehsan
dc.creatorHenzler, Thomas
dc.creatorSchoenberg, Stefan
dc.creatorMarin, Daniele
dc.date.accessioned2020-09-04T19:16:07Z
dc.date.accessioned2023-05-19T14:49:31Z
dc.date.available2020-09-04T19:16:07Z
dc.date.available2023-05-19T14:49:31Z
dc.date.created2020-09-04T19:16:07Z
dc.date.issued2019-05
dc.identifierMeyer M, Nelson RC, Vernuccio F, et al. Virtual Unenhanced Images at Dual-Energy CT: Influence on Renal Lesion Characterization. Radiology. 2019;291(2):381-390. doi:10.1148/radiol.2019181100
dc.identifierhttps://doi.org/10.1148/radiol.2019181100
dc.identifierhttp://hdl.handle.net/11447/3403
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/6302597
dc.description.abstractBackground Dual-energy (DE) CT allows reconstruction of virtual noncontrast (VNC) images from a single-phase contrast agent-enhanced examination, potentially reducing the need for multiphasic CT to characterize renal lesions. However, data regarding diagnostic performance of VNC images for the characterization of renal lesions are limited. Purpose To determine whether renal mass CT performed by using VNC images allows for reliable identification of renal lesions and differentiation of contrast-enhanced from unenhanced lesions, compared with unenhanced images. Materials and Methods This is a retrospective study of 293 patients (105 women [mean age, 65 years; age range, 18-91 years] and 188 men [mean age, 66 years; age range, 23-90 years] with 379 renal lesions [craniocaudal diameter, 1.0-4.0 cm]) who underwent a single-energy unenhanced CT examination followed by a nephrographic-phase DE CT between June 2013 and October 2017 by using one of four different DE CT platforms from two vendors. VNC images were calculated by using vendor-specific algorithms. Each lesion was classified in a blinded and independent fashion by using the VNC or unenhanced image in combination with the nephrographic images. Attenuation measurements were obtained on the VNC, unenhanced, and nephrographic images. Unenhanced images and pathologic or imaging follow-up for more than 24 months served as reference standard. Results There was strong overall agreement between VNC and unenhanced images for renal lesion characterization (Cramer V = 0.85). VNC images yielded a high diagnostic performance (area under the receiver operating characteristic curve, 0.91; 95% confidence interval: 0.86, 0.95) for facilitation of differentiation of contrast-enhanced from unenhanced renal lesions. However, there was a reduction in diagnostic performance for depicting contrast-enhanced renal lesions by using VNC compared with unenhanced images (area under the receiver operating characteristic curve, 0.91 [95% confidence interval: 0.86, 0.95] vs 0.96 [95% confidence interval: 0.93, 0.99]; P < .001). Mean absolute difference between the VNC and unenhanced attenuation was 9.2 HU ± 8.7. Conclusion Virtual noncontrast images enabled accurate renal lesion characterization, albeit with a reduction in diagnostic performance for contrast-enhanced lesion characterization.
dc.languageen
dc.publisherRSNA
dc.subjectVirtual noncontrast (VNC)
dc.subjectImaging
dc.subjectRenal lesions
dc.titleVirtual Unenhanced Images at Dual-Energy CT: Influence on Renal Lesion Characterization
dc.typeArticle


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