Literature DB >> 21112712

Dual energy computed tomography of lung nodules: differentiation of iodine and calcium in artificial pulmonary nodules in vitro.

Naomi Knöss1, Beata Hoffmann, Bernhard Krauss, Martin Heller, Jürgen Biederer.   

Abstract

BACKGROUND: Iodine enhancement is a marker for malignancy in pulmonary nodules. The purpose of this in vitro study was to assess whether dual energy computed tomography (DECT) can be used to detect iodine and to distinguish iodine from disperse calcifications in artificial pulmonary nodules.
MATERIALS AND METHODS: Small, medium, and large artificial nodules (n=54), with increasing concentrations of iodine or calcium corresponding to an increase in Hounsfield Units (HU) of 15, 30, 45, and 90 at 120 kV, were scanned in a chest phantom with DECT at 80 and 140 kV. Attenuation values of each nodule were measured using semi-automated volumetric analysis. The mean DE ratio with 95% confidence intervals (CI) was calculated for each nodule.
RESULTS: The mean maximum diameter of the 18 small nodules was 12 mm (standard deviation: 0.4), 16 mm (0.4) for the 18 medium nodules, and 30 mm (1.1) for the 18 large nodules. There was no overlap of 95% CI of DE ratios of iodine and calcium in nodules≥16 mm. In nodules<16 mm, there was an overlap of DE ratios in low contrast lesions.
CONCLUSION: DECT can distinguish iodine from calcium in artificial nodules≥16 mm in vitro. In smaller lesions, a clear differentiation is not possible.
Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.

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Year:  2010        PMID: 21112712     DOI: 10.1016/j.ejrad.2010.11.001

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  9 in total

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Review 2.  Pulmonary arteriovenous malformations: diagnosis.

Authors:  Sachin S Saboo; Murthy Chamarthy; Sanjeev Bhalla; Harold Park; Patrick Sutphin; Fernando Kay; John Battaile; Sanjeeva P Kalva
Journal:  Cardiovasc Diagn Ther       Date:  2018-06

3.  Epidermal growth factor receptor mutations in lung adenocarcinoma: associations between dual-energy spectral CT measurements and histologic results.

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Journal:  J Cancer Res Clin Oncol       Date:  2020-09-26       Impact factor: 4.553

4.  Differentiation of low-attenuation intracranial hemorrhage and calcification using dual-energy computed tomography in a phantom system.

Authors:  Jessica L Nute; Lucia Le Roux; Adam G Chandler; Veera Baladandayuthapani; Dawid Schellingerhout; Dianna D Cody
Journal:  Invest Radiol       Date:  2015-01       Impact factor: 6.016

5.  Identification of epidermal growth factor receptor mutations in pulmonary adenocarcinoma using dual-energy spectral computed tomography.

Authors:  Meng Li; Li Zhang; Wei Tang; Yu-Jing Jin; Lin-Lin Qi; Ning Wu
Journal:  Eur Radiol       Date:  2018-10-26       Impact factor: 5.315

6.  Texture analysis of iodine maps and conventional images for k-nearest neighbor classification of benign and metastatic lung nodules.

Authors:  Liliana Caldeira; Thorsten Persigehl; Simon Lennartz; Alina Mager; Nils Große Hokamp; Sebastian Schäfer; David Zopfs; David Maintz; Hans Christian Reinhardt; Roman K Thomas
Journal:  Cancer Imaging       Date:  2021-01-26       Impact factor: 3.909

7.  Postinterventional Assessment after Stent and Flow-Diverter Implantation Using CT: Influence of Spectral Image Reconstructions and Different Device Types.

Authors:  C Zaeske; T Hickethier; J Borggrefe; L Goertz; R Dettmeyer; M Schlamann; N Abdullayev; C Kabbasch
Journal:  AJNR Am J Neuroradiol       Date:  2020-12-31       Impact factor: 3.825

8.  Correlation between tumor size and blood volume in lung tumors: a prospective study on dual-energy gemstone spectral CT imaging.

Authors:  Masahiko Aoki; Yoshihiro Takai; Yuichiro Narita; Katsumi Hirose; Mariko Sato; Hiroyoshi Akimoto; Hideo Kawaguchi; Yoshiomi Hatayama; Hiroyuki Miura; Shuichi Ono
Journal:  J Radiat Res       Date:  2014-05-14       Impact factor: 2.724

9.  Can Spectral CT Imaging Improve the Differentiation between Malignant and Benign Solitary Pulmonary Nodules?

Authors:  Ying Zhang; Jiejun Cheng; Xiaolan Hua; Mingji Yu; Chengdong Xu; Feng Zhang; Jianrong Xu; Huawei Wu
Journal:  PLoS One       Date:  2016-02-03       Impact factor: 3.240

  9 in total

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