Feasibility of discriminating uric acid from non-uric acid renal stones using consecutive spatially registered low- and high-energy scans obtained on a conventional CT scanner.
AJR Am J Roentgenol
; 204(1): 92-7, 2015 Jan.
Article
em En
| MEDLINE
| ID: mdl-25539242
ABSTRACT
OBJECTIVE:
The objective of our study was to show the feasibility of distinguishing between uric acid (UA) and non-UA renal stones using two consecutive spatially registered low- and high-energy scans acquired on a conventional CT system. SUBJECTS ANDMETHODS:
A total of 33 patients undergoing clinically indicated dual-source dual-energy CT examinations to differentiate UA from non-UA renal stones were enrolled in this study. Immediately after patients underwent clinically indicated dual-source dual-energy CT, two consecutive scans (one at 80 kV and one at 140 kV) were obtained on a conventional CT scanner over the region limited to the stones identified on the dual-source scans. After 3D deformable registration of the 80- and 140-kV images, UA and non-UA stones were identified using commercial software. The sensitivity, specificity, and accuracy of stone classification were calculated using the dual-source results as the reference standard.RESULTS:
A total of 469 stones were identified in the dual-source examinations (26 UA and 443 non-UA stones). The average in-plane stone diameter was 4.4 ± 2.5 (SD) mm (range, 2.0-18.9 mm). The overall sensitivity, specificity, and accuracy for identifying UA stones were 73.1%, 90.1%, and 89.1%, respectively. The sensitivity, specificity, and accuracy were 94.7%, 96.9%, and 96.8% for stones 3 mm or larger (n = 341 [19 UA and 322 non-UA]).CONCLUSION:
Accurate differentiation of UA from non-UA renal stones is feasible using two consecutively acquired and spatially registered conventional CT scans.Palavras-chave
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Base de dados:
MEDLINE
Assunto principal:
Ácido Úrico
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Cálculos Renais
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Tomografia Computadorizada por Raios X
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Imagem Radiográfica a Partir de Emissão de Duplo Fóton
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Técnica de Subtração
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Imageamento Tridimensional
Idioma:
En
Ano de publicação:
2015
Tipo de documento:
Article