Literature DB >> 16145473

Cystine: helical computerized tomography characterization of rough and smooth calculi in vitro.

Samuel C Kim1, Erin K Hatt, James E Lingeman, Robert B Nadler, James A McAteer, James C Williams.   

Abstract

PURPOSE: The classification of cystine stones into rough and smooth varieties has been suggested as an aid to choosing treatment for these difficult stones. Since the surface of stones is difficult to visualize preoperatively, we tested the hypothesis that the surface morphology of cystine stones correlates with their internal structure, as viewed by helical computerized tomography (CT).
MATERIALS AND METHODS: Cystine stones were examined visually and categorized into rough (15 stones) and smooth (16 stones) subpopulations of similar size. Each stone was scanned in a helical CT scanner (GE Quad Scanner) to assess radiological characteristics and to measure attenuation values. Scans were also performed using a microCT 20 high resolution laboratory scanner (Scanco Medical AG, Bassersdorf, Switzerland) at 34 microm voxel size and the percent of internal voids was determined.
RESULTS: Mean helical CT attenuation values +/- SD for rough stones were lower than for smooth stones (702 +/- 206 vs 921 +/- 51 HU, p <0.002) and the radiological appearance of rough stones suggested radiolucent voids. Internal voids in rough stones were confirmed using micro CT. Rough cystine stones contained a higher percent of internal voids (0.30% vs 0.06%, p <0.0001).
CONCLUSIONS: Rough cystine stones can be distinguished from smooth stones using helical CT in vitro, suggesting that it may be possible to distinguish these stones preoperatively. Since rough cystine stones have been reported to be susceptible to shock wave lithotripsy, the identification of this morphology of cystine stones in the patient using attenuation values and appearance on helical CT could be valuable for planning treatment.

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Year:  2005        PMID: 16145473     DOI: 10.1097/01.ju.0000173636.19741.24

Source DB:  PubMed          Journal:  J Urol        ISSN: 0022-5347            Impact factor:   7.450


  10 in total

Review 1.  Micro-computed tomography for analysis of urinary calculi.

Authors:  James C Williams; James A McAteer; Andrew P Evan; James E Lingeman
Journal:  Urol Res       Date:  2010-10-22

2.  The role of trapped bubbles in kidney stone detection with the color Doppler ultrasound twinkling artifact.

Authors:  Julianna C Simon; Oleg A Sapozhnikov; Wayne Kreider; Michael Breshock; James C Williams; Michael R Bailey
Journal:  Phys Med Biol       Date:  2018-01-09       Impact factor: 3.609

3.  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

4.  Differentiation of calcium oxalate monohydrate and calcium oxalate dihydrate stones using quantitative morphological information from micro-computerized and clinical computerized tomography.

Authors:  Xinhui Duan; Mingliang Qu; Jia Wang; James Trevathan; Terri Vrtiska; James C Williams; Amy Krambeck; John Lieske; Cynthia McCollough
Journal:  J Urol       Date:  2012-11-07       Impact factor: 7.450

5.  Variability of protein content in calcium oxalate monohydrate stones.

Authors:  James C Williams; Chad A Zarse; Molly E Jackson; Frank A Witzmann; James A McAteer
Journal:  J Endourol       Date:  2006-08       Impact factor: 2.942

Review 6.  How should patients with cystine stone disease be evaluated and treated in the twenty-first century?

Authors:  Kim Hovgaard Andreassen; Katja Venborg Pedersen; Susanne Sloth Osther; Helene Ulrik Jung; Søren Kissow Lildal; Palle Joern Sloth Osther
Journal:  Urolithiasis       Date:  2015-11-27       Impact factor: 3.436

7.  Cystine calculi: correlation of CT-visible structure, CT number, and stone morphology with fragmentation by shock wave lithotripsy.

Authors:  Samuel C Kim; Erin K Burns; James E Lingeman; Ryan F Paterson; James A McAteer; James C Williams
Journal:  Urol Res       Date:  2007-10-27

8.  Using micro computed tomographic imaging for analyzing kidney stones.

Authors:  James C Williams; James E Lingeman; Michel Daudon; Dominique Bazin
Journal:  C R Chim       Date:  2021-06-29       Impact factor: 3.117

9.  Non-contrast computed tomography characteristics in a large cohort of cystinuria patients.

Authors:  Hannah Warren; Daniel Poon; Rohit Srinivasan; Kerushan Thomas; Giles Rottenberg; Matthew Bultitude; Kay Thomas
Journal:  World J Urol       Date:  2020-11-09       Impact factor: 4.226

10.  The Long-Term Follow-Up of Patients with Cystine Stones: A Single-Center Experience for 13 Years.

Authors:  Toshifumi Takahashi; Shinya Somiya; Katsuhiro Ito; Toru Kanno; Yoshihito Higashi; Hitoshi Yamada
Journal:  J Clin Med       Date:  2021-03-24       Impact factor: 4.241

  10 in total

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