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 |