scholarly journals The Possibility for Iodine Concentration Determination in a Phantom with Known Titers of an Iodine-Containing Contrast Agent, by Using Dual-Energy Computed Tomography

2020 ◽  
Vol 100 (6) ◽  
pp. 335-338
Author(s):  
A. S. Chaban ◽  
V. E. Sinitsyn
Keyword(s):  
Computed Tomography ◽  
Contrast Agent ◽  
Measurement Errors ◽  
Iodine Concentration ◽  
Dual Energy ◽  
In Vivo Studies ◽  
Single Source ◽  
Dual Energy Computed Tomography ◽  
True Concentration

Objective: to study the capabilities of single-source dual-energy computed tomography (DECT) in quantifying the concentration of iodine in solutions.Material and methods. Single-source DECT was performed using a phantom containing a set of 5 tubes with a different titer of the iodine-containing contrast agent Iopamidol. Further, the obtained images were used to construct iodine maps; and the concentration of iodine was measured within the volume of the titrated contrast agent.Results. Despite a high correlation between the measured iodine concentration in solution with the true concentration (Pearson's correlation coefficient r = 0.98; p < 0.01), there is a measurement error that was 4.8 to 23% at different dilutions.Conclusion. Signal-source rapid voltage switching DECT does not allow precise measurements of the true concentration of iodine in solution. To eliminate measurement errors in further in vivo studies using singlesource DECT, it may be that attention must be paid to the measurement of normalized iodine concentration. 

scholarly journals Quantification of Iodine Concentration Using Single-Source Dual-Energy Computed Tomography in a Calf Liver

2018 ◽  
Vol 42 (2) ◽  
pp. 222-229 ◽  
Author(s):  
Andrea Agostini ◽  
Usman Mahmood ◽  
Yusuf Erdi ◽  
Alessandra Borgheresi ◽  
Monica Ragucci ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Iodine Concentration ◽  
Dual Energy ◽  
Single Source ◽  
Dual Energy Computed Tomography

scholarly journals In vivo determination of renal stone composition with dual-energy computed tomography

2014 ◽  
Vol 18 (1) ◽  
Author(s):  
John-Henry Corbett ◽  
Werner S. Harmse
Keyword(s):  
Computed Tomography ◽  
Uric Acid ◽  
Renal Stone ◽  
Effective Atomic Number ◽  
Renal Stones ◽  
Dual Energy ◽  
Single Source ◽  
Stone Composition ◽  
Dual Energy Computed Tomography

Background: Composition of renal stones influences management of patients with renal stone disease. Currently stone composition can only be analysed ex vivo after stone extraction or passage, but recent introduction of dual-energy computed tomography (CT) to clinical practice has raised interest in the ability of this technology to determine composition of renal stones in vivo.Objectives: To determine renal stone composition in patients using single-source dual-energy rapid-peak kilovolt (kVp) switching CT.Method: Nineteen patients with renal stones for percutaneous nephrolithotomy were evaluated with single-source dual-energy computed tomography on a Discovery CT 750HD. The Gemstone Spectral Imaging (GSI) effective atomic number (Zeff) and attenuation at 70 keV monochromatic energy were used to predict the stone composition. Infrared spectroscopy and x-ray diffraction of stones after extraction served as the reference standard.Results: Two (10.5%) of the 19 stones had uric acid as major component. The other 17 (89.5%) were calcium-based stones. No statistically significant difference between the GSI Zeff and calculated effective atomic number (Z) for stone compounds was found. The GSI Zeff and attenuation could differentiate between uric acid and non-uric acid stones. No differentiation between different calcium stones could be made.Conclusion: Uric acid and non-uric acid renal stones can be differentiated with single-source dual-energy in vivo. The GSI Zeff reflects the dominant material in polycrystalline stones.

Single-Source Dual-Energy Computed Tomography Detects Disk Injury in Patients with Vertebral Fractures

2019 ◽  
Author(s):  
Torsten Diekhoff ◽  
Michael Fuchs ◽  
Nils Engelhard ◽  
Kay-Geert Hermann ◽  
Michael Putzier ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Vertebral Fractures ◽  
Dual Energy ◽  
Single Source ◽  
Dual Energy Computed Tomography

Ex Vivo Renal Stone Characterization with Single-Source Dual-Energy Computed Tomography: A Multiparametric Approach

2016 ◽  
Vol 23 (8) ◽  
pp. 969-976 ◽  
Author(s):  
J. Scott Kriegshauser ◽  
Alvin C. Silva ◽  
Robert G. Paden ◽  
Miao He ◽  
Mitchell R. Humphreys ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Renal Stone ◽  
Ex Vivo ◽  
Dual Energy ◽  
Single Source ◽  
Dual Energy Computed Tomography

scholarly journals Quantitative Assessment of Thyroid Nodules Using Dual-Energy Computed Tomography: Iodine Concentration Measurement and Multiparametric Texture Analysis for Differentiating between Malignant and Benign Lesions

2020 ◽  
Vol 2020 ◽  
pp. 1-8 ◽  
Author(s):  
Hayato Tomita ◽  
Hirofumi Kuno ◽  
Kotaro Sekiya ◽  
Katharina Otani ◽  
Osamu Sakai ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Texture Analysis ◽  
Thyroid Nodules ◽  
Texture Features ◽  
Iodine Content ◽  
Iodine Concentration ◽  
Dual Energy ◽  
Concentration Measurement ◽  
Cross Sectional ◽  
Dual Energy Computed Tomography

Background and Objectives. Thyroid nodules are increasingly being detected during cross-sectional imaging of the neck and chest. The purpose of this study is to investigate the efficacy of dual-energy computed tomography (DECT) using iodine concentration measurement and multiparametric texture analysis of monochromatic images for differentiating between benign and malignant thyroid nodules. Materials and Methods. This retrospective study included 34 consecutive patients who presented with thyroid nodules and underwent noncontrast DECT between 2015 and 2016. Manual segmentation of each thyroid nodule by monochromatic imaging (40, 60, and 80 keV) was performed, and an in-house developed MATLAB-based texture analysis program was used to extract 41 textures. Iodine material decomposition and CT attenuation slopes were also measured. Histopathologic findings of ultrasound-guided biopsies over a follow-up period of at least one year were used as reference standards. Basic descriptive statistics and areas under receiver operating characteristic curves (AUCs) were evaluated. Results. The 34 nodules comprised 14 benign nodules and 20 malignant nodules. Iodine content and Hounsfield unit curve slopes did not differ significantly between benign and malignant thyroid nodules (P=0.480–0.670). However, significant differences in the texture features of monochromatic images were observed between benign and malignant nodules: histogram mean and median, co-occurrence matrix contrast, gray-level gradient matrix (GLGM) skewness, and mean gradients and variance of gradients for GLGM at 80 keV (P=0.014–0.044). The highest AUC was 0.77, for the histogram mean and median of images acquired at 80 keV. Conclusions. Texture features extracted from monochromatic images using DECT, specifically acquired at high keV, may be a promising diagnostic approach for thyroid nodules. A further large study for incidental thyroid nodules using DECT texture analysis is required to validate our results.

scholarly journals Identification of benign and malignant thyroid nodules by in vivo iodine concentration measurement using single-source dual energy CT

Medicine ◽  
2016 ◽  
Vol 95 (39) ◽  
pp. e4816 ◽  
Author(s):  
Shun-Yu Gao ◽  
Xiao-Yan Zhang ◽  
Wei Wei ◽  
Xiao-Ting Li ◽  
Yan-Ling Li ◽  
...  
Keyword(s):  
Thyroid Nodules ◽  
Iodine Concentration ◽  
Dual Energy ◽  
Concentration Measurement ◽  
Dual Energy Ct ◽  
Single Source
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