Dual-energy computed tomography with advanced postimage acquisition data processing: improved determination of urinary stone composition.
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.
Type
Journal articleSubject
Analysis of VarianceHumans
Nonlinear Dynamics
Radiographic Image Interpretation, Computer-Assisted
Tomography, X-Ray Computed
Urinary Calculi
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https://hdl.handle.net/10161/3382Published Version (Please cite this version)
10.1089/end.2009.0193Publication Info
Ferrandino, MN; Pierre, SA; Simmons, WN; Paulson, EK; Albala, DM; & Preminger, GM (2010). Dual-energy computed tomography with advanced postimage acquisition data processing:
improved determination of urinary stone composition. J Endourol, 24(3). pp. 347-354. 10.1089/end.2009.0193. Retrieved from https://hdl.handle.net/10161/3382.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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Show full item recordScholars@Duke
Michael Nicolo Ferrandino
Associate Professor of Surgery
This author no longer has a Scholars@Duke profile, so the information shown here reflects
their Duke status at the time this item was deposited.
Erik Karl Paulson
Chair, Department of Radiology
Research interests include (1) CT dose reduction, (2) clinical evaluation and applications
of state-of-the-art imaging technology with an emphasis on computed body tomography,
ultrasound, and magnetic resonance imaging, (3) imaging technology for hepatic lesion
detection and characterization, (4) image guided percutaneous biopsies and interventional
procedures, and (5) imaging of pancreatic pathology
Glenn Michael Preminger
James F. Glenn, M.D. Distinguished Professor of Urology
1. Minimally invasive management of urologic diseases 2. Minimally invasive management
of renal and ureteral stones 3. Medical management of nephrolithiasis 4. Bioeffects
of shock wave lithotripsy 5. Basic physics of shock wave lithotripsy 6. Intracorporeal
lithotripsy for stone fragmentation 7. Minimally invasive management of urinary tract
obstruction, including ureteropelvic junction obstruction and ureteral strictures
8. Enhanced imaging modalities f
Walter Neal Simmons
Gendell Family Professor of the Practice
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