Show simple item record Ferrandino, MN Pierre, SA Simmons, WN Paulson, EK Albala, DM Preminger, GM
dc.coverage.spatial United States 2011-04-15T16:46:25Z 2010-03
dc.identifier.citation J Endourol, 2010, 24 (3), pp. 347 - 354
dc.description.abstract 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.
dc.format.extent 347 - 354
dc.language eng
dc.language.iso en_US en_US
dc.relation.ispartof J Endourol
dc.relation.isversionof 10.1089/end.2009.0193
dc.subject Analysis of Variance
dc.subject Humans
dc.subject Nonlinear Dynamics
dc.subject Radiographic Image Interpretation, Computer-Assisted
dc.subject Tomography, X-Ray Computed
dc.subject Urinary Calculi
dc.title Dual-energy computed tomography with advanced postimage acquisition data processing: improved determination of urinary stone composition.
dc.type Journal Article
dc.description.version Version of Record en_US 2010-3-0 en_US
duke.description.endpage 354 en_US
duke.description.issue 3 en_US
duke.description.startpage 347 en_US
duke.description.volume 24 en_US
dc.relation.journal Journal of Endourology en_US
pubs.issue 3
pubs.organisational-group /Duke
pubs.organisational-group /Duke/Pratt School of Engineering
pubs.organisational-group /Duke/Pratt School of Engineering/Mechanical Engineering and Materials Science
pubs.organisational-group /Duke/School of Medicine
pubs.organisational-group /Duke/School of Medicine/Clinical Science Departments
pubs.organisational-group /Duke/School of Medicine/Clinical Science Departments/Radiology
pubs.organisational-group /Duke/School of Medicine/Clinical Science Departments/Radiology/Radiology, Abdominal Imaging
pubs.organisational-group /Duke/School of Medicine/Clinical Science Departments/Surgery
pubs.organisational-group /Duke/School of Medicine/Clinical Science Departments/Surgery/Surgery, Urology
pubs.publication-status Published
pubs.volume 24
dc.identifier.eissn 1557-900X

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