| Dual-energy computed tomography with advanced postimage acquisition data processing: improved determination of urinary stone composition. | |
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MedLine Citation:
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PMID: 20105031 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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INTRODUCTION: The characterization of urinary calculi using noninvasive methods has the potential to affect clinical management. CT remains the gold standard for diagnosis of urinary calculi, but has not reliably differentiated varying stone compositions. Dual-energy CT (DECT) has emerged as a technology to improve CT characterization of anatomic structures. This study aims to assess the ability of DECT to accurately discriminate between different types of urinary calculi in an in vitro model using novel postimage acquisition data processing techniques. METHODS: Fifty urinary calculi were assessed, of which 44 had >or=60% composition of one component. DECT was performed utilizing 64-slice multidetector CT. The attenuation profiles of the lower-energy (DECT-Low) and higher-energy (DECT-High) datasets were used to investigate whether differences could be seen between different stone compositions. RESULTS: Postimage acquisition processing allowed for identification of the main different chemical compositions of urinary calculi: brushite, calcium oxalate-calcium phosphate, struvite, cystine, and uric acid. Statistical analysis demonstrated that this processing identified all stone compositions without obvious graphical overlap. CONCLUSION: Dual-energy multidetector CT with postprocessing techniques allows for accurate discrimination among the main different subtypes of urinary calculi in an in vitro model. The ability to better detect stone composition may have implications in determining the optimum clinical treatment modality for urinary calculi from noninvasive, preprocedure radiological assessment. |
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Authors:
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Michael N Ferrandino; Sean A Pierre; Walter Neal Simmons; Erik K Paulson; David M Albala; Glenn M Preminger |
Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Journal of endourology / Endourological Society Volume: 24 ISSN: 1557-900X ISO Abbreviation: J. Endourol. Publication Date: 2010 Mar |
Date Detail:
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Created Date: 2010-03-25 Completed Date: 2010-06-30 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 8807503 Medline TA: J Endourol Country: United States |
Other Details:
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Languages: eng Pagination: 347-54 Citation Subset: IM |
Affiliation:
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Division of Urology, Duke University Medical Center, Durham, North Carolina 27710, USA. michael.ferrandino@duke.edu |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Analysis of Variance Humans Nonlinear Dynamics Radiographic Image Interpretation, Computer-Assisted / methods* Tomography, X-Ray Computed / methods* Urinary Calculi / chemistry*, radiography* |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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