Literature DB >> 19487466

Dual-energy CT in patients suspected of having renal masses: can virtual nonenhanced images replace true nonenhanced images?

Anno Graser1, Thorsten R C Johnson, Elizabeth M Hecht, Christoph R Becker, Christianne Leidecker, Michael Staehler, Christian G Stief, Henriette Hildebrandt, Myrna C B Godoy, Myra E Finn, Flora Stepansky, Maximilian F Reiser, Michael Macari.   

Abstract

PURPOSE: To qualitatively and quantitatively compare virtual nonenhanced (VNE) data sets derived from dual-energy (DE) computed tomography (CT) with true nonenhanced (TNE) data sets in the same patients and to calculate potential radiation dose reductions for a dual-phase renal multidetector CT compared with a standard triple-phase protocol.
MATERIALS AND METHODS: This prospective study was approved by the institutional review board; all patients provided written informed consent. Seventy one men (age range, 30-88 years) and 39 women (age range, 22-87 years) underwent preoperative DE CT that included unenhanced, DE nephrographic, and delayed phases. DE CT parameters were 80 and 140 kV, 96 mAs (effective). Collimation was 14 x 1.2 mm. CT numbers were measured in renal parenchyma and tumor, liver, aorta, and psoas muscle. Image noise was measured on TNE and VNE images. Exclusion of relevant anatomy with the 26-cm field of view detector was quantified with a five-point scale (0 = none, 4 = >75%). Image quality and noise (1 = none, 5 = severe) and acceptability for VNE and TNE images were rated. Effective radiation doses for DE CT and TNE images were calculated. Differences were tested with a Student t test for paired samples.
RESULTS: Mean CT numbers (+/- standard deviation) on TNE and VNE images, respectively, for renal parenchyma were 30.8 HU +/- 4.0 and 31.6 HU +/- 7.1, P = .29; liver, 55.8 HU +/- 8.6 and 57.8 HU +/- 10.1, P = .11; aorta, 42.1 HU +/- 4.1 and 43.0 HU +/- 8.8, P = .16; psoas, 47.3 HU +/- 5.6 and 48.1 HU +/- 9.3 HU, P = .38. No exclusion of the contralateral kidney was seen in 50 patients, less than 25% was seen in 43, 25%-50% was seen in 13, and 50%-75% was seen in four. Mean image noise was 1.71 +/- 0.71 for VNE and 1.22 +/- 0.45 for TNE (P < .001); image quality was 1.70 HU +/- 0.72 for VNE and 1.15 HU +/- 0.36 for TNE (P < .0001). In all but three patients radiologists accepted VNE images as replacement for TNE images. Mean effective dose for DE CT scans of the abdomen was 5.21 mSv +/- 1.86 and that for nonenhanced scans was 4.97 mSv +/- 1.43. Mean dose reduction by omitting the TNE scan was 35.05%.
CONCLUSION: In patients with renal masses, DE CT can provide high-quality VNE data sets, which are a reasonable approximation of TNE data sets. Integration of DE scanning into a renal mass protocol will lower radiation exposure by 35%.

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Year:  2009        PMID: 19487466     DOI: 10.1148/radiol.2522080557

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  91 in total

1.  Differentiation of hemorrhage from iodinated contrast in different intracranial compartments using dual-energy head CT.

Authors:  C M Phan; A J Yoo; J A Hirsch; R G Nogueira; R Gupta
Journal:  AJNR Am J Neuroradiol       Date:  2012-01-19       Impact factor: 3.825

Review 2.  Dual-energy computed tomography applications in uroradiology.

Authors:  Jong Park; Hersh Chandarana; Michael Macari; Alec J Megibow
Journal:  Curr Urol Rep       Date:  2012-02       Impact factor: 3.092

Review 3.  [Strategies for reducing the CT radiation dose].

Authors:  S T Schindera; C Nauer; R Treier; P Trueb; G von Allmen; P Vock; Z Szucs-Farkas
Journal:  Radiologe       Date:  2010-12       Impact factor: 0.635

4.  Preliminary experience with abdominal dual-energy CT (DECT): true versus virtual nonenhanced images of the liver.

Authors:  C N De Cecco; V Buffa; S Fedeli; A Vallone; R Ruopoli; M Luzietti; V Miele; M Rengo; M Maurizi Enrici; P Fina; A Laghi; V David
Journal:  Radiol Med       Date:  2010-09-17       Impact factor: 3.469

5.  Liver virtual non-enhanced CT with dual-source, dual-energy CT: a preliminary study.

Authors:  Long-Jiang Zhang; Jin Peng; Sheng-Yong Wu; Z Jane Wang; Xin-Sheng Wu; Chang-Sheng Zhou; Xue-Man Ji; Guang-Ming Lu
Journal:  Eur Radiol       Date:  2010-09       Impact factor: 5.315

6.  Iodine quantification with dual-energy CT: phantom study and preliminary experience with VX2 residual tumour in rabbits after radiofrequency ablation.

Authors:  Y Li; G Shi; S Wang; S Wang; R Wu
Journal:  Br J Radiol       Date:  2013-07-24       Impact factor: 3.039

7.  Diagnostic performance of dual-energy CT and subtraction CT for renal lesion detection and characterization.

Authors:  Ali Pourvaziri; Anushri Parakh; Amirkasra Mojtahed; Avinash Kambadakone; Dushyant Vasudeo Sahani
Journal:  Eur Radiol       Date:  2019-05-27       Impact factor: 5.315

8.  Virtual nonenhanced abdominal dual-energy MDCT: Analysis of image characteristics.

Authors:  Jacob Sosna; Shmuel Mahgerefteh; Liran Goshen; Galit Kafri; Galit Aviram; Arye Blachar
Journal:  World J Radiol       Date:  2012-04-28

9.  Virtual versus true non-contrast dual-energy CT imaging for the diagnosis of aortic intramural hematoma.

Authors:  Salim Si-Mohamed; Nicolas Dupuis; Valérie Tatard-Leitman; David Rotzinger; Sara Boccalini; Matthias Dion; Alain Vlassenbroek; Philippe Coulon; Yoad Yagil; Nadav Shapira; Philippe Douek; Loic Boussel
Journal:  Eur Radiol       Date:  2019-07-01       Impact factor: 5.315

10.  Can single-phase dual-energy CT reliably identify adrenal adenomas?

Authors:  A Helck; N Hummel; F G Meinel; T Johnson; K Nikolaou; A Graser
Journal:  Eur Radiol       Date:  2014-05-08       Impact factor: 5.315

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