Literature DB >> 15302469

Spiral computed tomography: role in determination of chemical compositions of pure and mixed urinary stones--an in vitro study.

Serkan Deveci1, Mehmet Coşkun, M Ilteriş Tekin, Levent Peşkircioglu, N Cağla Tarhan, Hakan Ozkardeş.   

Abstract

OBJECTIVES: To determine the chemical composition of pure and mixed urinary calculi by multislice helical computed tomography (CT) in an in vitro setting. CT is becoming the preferred radiologic examination in diagnosis and management of calculus disease. The management of calculus disease can be facilitated by ascertaining the stone composition. Unnecessary shock wave treatment could be avoided if the fragility of the stones could be predicted at diagnosis.
METHODS: A total of 107 stones (86 pure and 21 mixed) were measured in a multislice helical scanner within an air-filled environment. The scans were performed at two energy levels, 80 kV and 120 kV, with a 1-mm slice thickness. The chemical compositions of the urinary stones were assessed on the basis of the differences in the densities measured in Hounsfield units. The stones were assigned to six different groups according to the density measured in Hounsfield units: uric acid, struvite, cystine, calcium phosphate, calcium oxalate monohydrate, and calcium oxalate dihydrate.
RESULTS: The differences in the density measured by multislice helical CT at 120 kV for the six groups of pure stones were statistically significant. The densities of the different regions within the mixed stones were also significantly different statistically from each other. The densities of the different regions measured in the mixed stones were not different from the densities of the corresponding pure stones. This finding supports the idea that different chemical compositions within a stone can be identified by their densities measured by multislice helical CT.
CONCLUSIONS: The chemical compositions of both pure and mixed stones can be determined by multislice helical CT in an in vitro setting. The feasibility of in vivo determinations remains to be clarified.

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Year:  2004        PMID: 15302469     DOI: 10.1016/j.urology.2004.03.029

Source DB:  PubMed          Journal:  Urology        ISSN: 0090-4295            Impact factor:   2.649


  19 in total

1.  Predictive value of low tube voltage and dual-energy CT for successful shock wave lithotripsy: an in vitro study.

Authors:  Remo Largo; Paul Stolzmann; Christian D Fankhauser; Cédric Poyet; Pirmin Wolfsgruber; Tullio Sulser; Hatem Alkadhi; Sebastian Winklhofer
Journal:  Urolithiasis       Date:  2015-09-21       Impact factor: 3.436

Review 2.  [Urinary calculi. Metabolism and diagnosis].

Authors:  R E Hautmann; M Straub
Journal:  Urologe A       Date:  2006-09       Impact factor: 0.639

Review 3.  [Diagnostic imaging--the end of intravenous urography?].

Authors:  W L Strohmaier; R Bartunek
Journal:  Urologe A       Date:  2008-05       Impact factor: 0.639

4.  Determining the composition of urinary tract calculi using stone-targeted dual-energy CT: evaluation of a low-dose scanning protocol in a clinical environment.

Authors:  Richard J Chaytor; Krishnamoorthy Rajbabu; Paul A Jones; Liam McKnight
Journal:  Br J Radiol       Date:  2016-09-21       Impact factor: 3.039

5.  Using Helical CT to Predict Stone Fragility in Shock Wave Lithotripsy (SWL).

Authors:  James C Williams; Chad A Zarse; Molly E Jackson; James E Lingeman; James A McAteer
Journal:  AIP Conf Proc       Date:  2007-04-05

6.  A novel method for prediction of stone composition: the average and difference of Hounsfield units and their cut-off values.

Authors:  Serdar Celik; Ertugrul Sefik; Ismail Basmacı; Ibrahim Halil Bozkurt; Mehmet Erhan Aydın; Tarık Yonguc; Tansu Degirmenci
Journal:  Int Urol Nephrol       Date:  2018-07-06       Impact factor: 2.370

7.  Can the Hounsfield unit predict the success of medically expulsive therapy?

Authors:  Sakip Erturhan; Omer Bayrak; Ahmet Mete; Ilker Seckiner; Gokhan Urgun; Kemal Sarica
Journal:  Can Urol Assoc J       Date:  2013 Nov-Dec       Impact factor: 1.862

8.  Estimation of urinary stone composition by automated processing of CT images.

Authors:  Grégoire Chevreau; Jocelyne Troccaz; Pierre Conort; Raphaëlle Renard-Penna; Alain Mallet; Michel Daudon; Pierre Mozer
Journal:  Urol Res       Date:  2009-08-27

9.  Dual energy can accurately differentiate uric acid-containing urinary calculi from calcium stones.

Authors:  A Spek; F Strittmatter; A Graser; P Kufer; C Stief; M Staehler
Journal:  World J Urol       Date:  2016-01-09       Impact factor: 4.226

10.  Dual-energy computed tomography for the differentiation of uric acid stones: ex vivo performance evaluation.

Authors:  Paul Stolzmann; Hans Scheffel; Katharina Rentsch; Thomas Schertler; Thomas Frauenfelder; Sebastian Leschka; Tullio Sulser; Borut Marincek; Hatem Alkadhi
Journal:  Urol Res       Date:  2008-06-11
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