Literature DB >> 27769822

Variability of CT Attenuation Measurements in Virtual Unenhanced Images Generated Using Multimaterial Decomposition from Fast Kilovoltage-switching Dual-energy CT.

Ravi K Kaza1, Evan A Raff2, Matthew S Davenport3, Shokoufeh Khalatbari4.   

Abstract

RATIONALE AND
OBJECTIVES: To compare Hounsfield unit (HU) data obtained from true-unenhanced (TUE) and virtual-unenhanced (VUE) imaging obtained with a fast kv-switching dual-energy computed tomography (CT) scanner using multimaterial decomposition algorithm.
MATERIALS AND METHODS: In this Institutional Review Board-approved, Health Insurance Portability and Accountability Act-compliant, retrospective cohort study, CT scans of 19 patients undergoing multiphasic renal protocol abdominal CT on a fast kv-switching dual-energy CT scanner were reviewed. CT numbers were measured on the matched TUE and VUE generated using a multimaterial decomposition algorithm with selective iodine suppression, and postcontrast images at predefined locations in seven organs. Six hundred sixty regions of interest were placed at 132 locations. Agreement was assessed with paired t test, Pearson's correlation, and Bland-Altman analysis.
RESULTS: Mean TUE and VUE measurements were not significantly different in the corticomedullary (P = 0.25) or nephrographic (P = 0.10) phases. There was a strong correlation between TUE and VUE CT numbers (corticomedullary: r = 0.90, nephrographic: r = 0.90, each P < 0.001). Discrepancies ≥5 HU occurred 46 times (35%, 46 of 132) in the corticomedullary phase and 44 times (33%, 44 of 132) in the nephrographic phase. Discrepancies ≥10 HU occurred in 7% (9 of 132 in both corticomedullary and nephrographic phases). Interphase, intrasubject VUE CT numbers were strongly correlated (r = 0.93, P < 0.001), but discrepancies ≥5 HU (22% [29 of 132]) and ≥10 HU (2% [3 of 132]) occurred. There was no significant correlation between the true postcontrast CT number and the magnitude of VUE-TUE discrepancy (r = -0.04, P = 0.6).
CONCLUSION: CT numbers on VUE images generated from fast kv-switching dual-energy CT scans strongly correlate with TUE CT numbers on a population basis, but commonly vary 5-9 HU on a per-patient basis.
Copyright © 2017 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Dual-energy CT; Virtual unenhanced imaging; multimaterial decomposition

Mesh:

Substances:

Year:  2016        PMID: 27769822     DOI: 10.1016/j.acra.2016.09.002

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  6 in total

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Authors:  Shanigarn Thiravit; Christina Brunnquell; Larry M Cai; Mena Flemon; Achille Mileto
Journal:  Eur Radiol       Date:  2020-11-18       Impact factor: 5.315

2.  Compatibility of true and virtual unenhanced attenuation in rapid kV-switching dual energy CT.

Authors:  İlkay Çamlıdağ
Journal:  Diagn Interv Radiol       Date:  2020-03       Impact factor: 2.630

Review 3.  Diagnostic accuracy of virtual non-contrast enhanced dual-energy CT for diagnosis of adrenal adenoma: A systematic review and meta-analysis.

Authors:  Michael J Connolly; Matthew D F McInnes; Mohamed El-Khodary; Trevor A McGrath; Nicola Schieda
Journal:  Eur Radiol       Date:  2017-03-13       Impact factor: 5.315

Review 4.  Quantitative dual-energy CT techniques in the abdomen.

Authors:  Giuseppe V Toia; Achille Mileto; Carolyn L Wang; Dushyant V Sahani
Journal:  Abdom Radiol (NY)       Date:  2021-09-01

5.  Dual-Energy CT Images: Pearls and Pitfalls.

Authors:  Anushri Parakh; Simon Lennartz; Chansik An; Prabhakar Rajiah; Benjamin M Yeh; Frank J Simeone; Dushyant V Sahani; Avinash R Kambadakone
Journal:  Radiographics       Date:  2021 Jan-Feb       Impact factor: 5.333

6.  Comparison of enhancement quantification from virtual unenhanced images to true unenhanced images in multiphase renal Dual-Energy computed tomography: A phantom study.

Authors:  D Olivia Popnoe; Chaan S Ng; Shouhao Zhou; S Cheenu Kappadath; Tinsu Pan; A Kyle Jones
Journal:  J Appl Clin Med Phys       Date:  2019-08       Impact factor: 2.102

  6 in total

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