| In vivo identification of uric acid stones with dual-energy CT: diagnostic performance evaluation in patients. | |
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MedLine Citation:
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PMID: 19727931 Owner: NLM Status: In-Process |
Abstract/OtherAbstract:
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BACKGROUND: To prospectively investigate the in vivo diagnostic performance of dual-energy (DE) computed tomography (CT) for the differentiation between uric acid (UA)-containing and non-UA-containing urinary stones. METHODS: DE CT scans were performed in 180 patients with suspected urinary stone disease using a dual-source CT scanner in the DE mode (tube voltages 80 and 140 kV). Urinary stones were classified as UA-containing or non-UA-containing based on CT number measurements and DE software results. Sensitivity, specificity, positive predictive values (PPV), and negative predictive values (NPV) for the detection of UA-containing urinary stones were calculated using the crystallographic stone analysis as the reference standard. RESULTS: DE CT detected 110/180 patients (61%) with urinary stone disease. In 53 patients, stones were sampled. Forty-four out of 53 stones (83%) were non-UA-containing; and nine stones (17%) were UA-containing. The software automatically mapped 52/53 (98%) stones. One non-UA-containing stone (UA, 2 mm) was missed; one UA-containing stone (3 mm) was misclassified by software analysis. The sensitivity, specificity, PPV, and NPV for the detection of UA-containing stones was 89% (8/9, 95% CI: 52-100%), 98% (43/44, 95% CI: 88-100%), 89% (8/9, 95% CI: 52-100%), and 98% (43/44, 95% CI: 88-100%). CONCLUSION: Our results indicate that DE dual-source CT permits for the accurate in vivo differentiation between UA-containing and non-UA-containing urinary stones. |
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Authors:
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Paul Stolzmann; Marko Kozomara; Natalie Chuck; Michael Müntener; Sebastian Leschka; Hans Scheffel; Hatem Alkadhi |
Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't Date: 2009-09-02 |
Journal Detail:
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Title: Abdominal imaging Volume: 35 ISSN: 1432-0509 ISO Abbreviation: Abdom Imaging Publication Date: 2010 Oct |
Date Detail:
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Created Date: 2010-10-04 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9303672 Medline TA: Abdom Imaging Country: United States |
Other Details:
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Languages: eng Pagination: 629-35 Citation Subset: IM |
Affiliation:
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Institute of Diagnostic Radiology, University Hospital Zurich, Raemistr. 100, 8091, Zurich, Switzerland. paul.stolzmann@usz.ch |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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