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Dual-energy Computed Tomography gemstone spectral imaging: new horizons in visualization and differentiation of kidney stones composition

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dc.contributor.author Condrea, Silviu
dc.contributor.author Ersov, Serghei
dc.contributor.author Balabchina, Ana
dc.contributor.author Saptefrati, Xenia
dc.date.accessioned 2020-06-23T18:27:41Z
dc.date.available 2020-06-23T18:27:41Z
dc.date.issued 2018
dc.identifier.citation CONDREA, Silviu, ERSOV, Serghei, BALABCHINA, Anna, SAPTEFRATI, Xenia. Dual-energy Computed Tomography gemstone spectral imaging: new horizons in visualization and differentiation of kidney stones composition. In: The Moldovan Medical Journal. 2018, vol. 61, RMI Congress Issue, p. 63. ISSN 2537-6381.
dc.identifier.issn 2537-6373
dc.identifier.issn 2537-6381
dc.identifier.uri http://moldmedjournal.md/wp-content/uploads/2018/05/The-Moldovan-Medical-Journal-vol-61-mai.pdf
dc.identifier.uri http://repository.usmf.md/handle/20.500.12710/10688
dc.description Department of Radiology and Computed Tomography, Republican Medical Diagnostic Center Nicolae Testemitsanu State University of Medicine and Pharmacy, Chisinau, the Republic of Moldova, The IVth Congress of Radiology and Medical Imaging of the Republic of Moldova with international participation, Chisinau, May 31 – June 2, 2018 en_US
dc.description.abstract Background: Optimization of viewing tools and understanding the chemical composition of renal calculi become essential for choosing the best treatment strategy. In this study we aimed to assess the localization and chemical composition of renal stones using gemstone spectral imaging (GSI) color map mode on a single-source dual-energy computed tomography (CT). Material and methods: A total of 45 urinary stones with an unknown chemical composition were imaged with a dual-energy CT scanner using special scanning protocols with different combinations of tube voltage and conventional polychromatic imaging. The mean attenuation value (in Hounsfield units) of each stone was recorded on both low- and high-energy CT images for each protocol. The dual-energy CT ratio of the mean attenuation value of each stone was computed for each protocol. The difference between the CT numbers obtained was compared among the stone groups. Results: The obtained data enabled us to classify the urinary stones into 3 main groups: uric acid (n = 11), oxalate (n = 24) and phosphate (n = 10) stones. The estimated sensitivity and specificity of dual-energy CT for detecting uric acid stones was 98.0 and 99.2%, calcium stones – 95.1% and 97%; and mixed stones – 93.0% and 94.5% accordingly. Conclusions: Single-source dual-energy CT with GSI represents a perspective modality for evaluating the characteristics and chemical composition of urinary stones. The CT results were consistent with the spectral data, suggesting that spectral CT imaging techniques can be accurately used to improve the stone differentiation capability of dual-energy CT imaging. en_US
dc.language.iso en en_US
dc.publisher The Scientific Medical Association of the Republic of Moldova en_US
dc.relation.ispartof The Moldovan Medical Journal: The IVth Congress of Radiology and Medical Imaging of the Republic of Moldova with international participation, Chisinau, May 31 – June 2, 2018
dc.subject Dual-energy CT en_US
dc.subject Kidney stones en_US
dc.subject Spectrum optimization en_US
dc.title Dual-energy Computed Tomography gemstone spectral imaging: new horizons in visualization and differentiation of kidney stones composition en_US
dc.type Article en_US


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