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Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12710/10688
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dc.contributor.authorCondrea, Silviu
dc.contributor.authorErsov, Serghei
dc.contributor.authorBalabchina, Ana
dc.contributor.authorSaptefrati, Xenia
dc.date.accessioned2020-06-23T18:27:41Z
dc.date.available2020-06-23T18:27:41Z
dc.date.issued2018
dc.identifier.citationCONDREA, 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.issn2537-6373
dc.identifier.issn2537-6381
dc.identifier.urihttp://moldmedjournal.md/wp-content/uploads/2018/05/The-Moldovan-Medical-Journal-vol-61-mai.pdf
dc.identifier.urihttp://repository.usmf.md/handle/20.500.12710/10688
dc.descriptionDepartment 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, 2018en_US
dc.description.abstractBackground: 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.isoenen_US
dc.publisherThe Scientific Medical Association of the Republic of Moldovaen_US
dc.relation.ispartofThe 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.subjectDual-energy CTen_US
dc.subjectKidney stonesen_US
dc.subjectSpectrum optimizationen_US
dc.titleDual-energy Computed Tomography gemstone spectral imaging: new horizons in visualization and differentiation of kidney stones compositionen_US
dc.typeArticleen_US
Appears in Collections:The Moldovan Medical Journal, Vol. 61, May 2018 RMI Congress Issue

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