Literature DB >> 26427864

Predicting the mineral composition of ureteral stone using non-contrast computed tomography.

Takashi Kawahara1,2,3, Hiroshi Miyamoto4, Hiroki Ito5,6, Hideyuki Terao6, Manabu Kakizoe6, Yoshitake Kato6, Hitoshi Ishiguro4, Hiroji Uemura5, Masahiro Yao5, Junichi Matsuzaki6.   

Abstract

We investigated the correlation between computed tomography (CT) density of ureteral stones and their mineral composition. A total of 346 patients who underwent ureteroscopic lithotripsy for calculi all fragments of which were acquired at a single institution from 2009 to 2011 were analyzed. The maximum and mean CT densities were measured preoperatively. A mineral analysis revealed calcium oxalate in 203 (58.7 %), mixed calcium oxalate and calcium phosphate in 78 (23.0 %), calcium phosphate in 18 (5.2 %), uric acid in 8 (2.3 %), struvite in 3 (0.9 %), and cysteine in 5 (1.4 %). The mean Hounsfield units (HUs) of the CT density were 1046 HUs in calcium oxalate, 1101 HUs in mixed calcium oxalate and calcium phosphate, 835 HUs in calcium phosphate, 549 HUs in uric acid, 729 HUs in struvite, and 698 HUs in cystine. The HUs in calcium oxalate were significantly higher than those in uric acid (p < 0.01) and struvite (p < 0.01). Those in monohydrate stones were significantly higher, compared with dehydrate stones (p < 0.05). We analyzed the largest number of stones than each published study to correlate their mineral composition and CT density. Calcium component stones showed significantly higher CT densities than other types.

Entities:  

Keywords:  Calcium; Computed tomography; Stone composition; Ureter stone; Ureteral calculi; Ureteroscopic lithotripsy; Ureteroscopy

Mesh:

Year:  2015        PMID: 26427864     DOI: 10.1007/s00240-015-0823-z

Source DB:  PubMed          Journal:  Urolithiasis        ISSN: 2194-7228            Impact factor:   3.436


  23 in total

1.  Comparison of helical computerized tomography and plain radiography for estimating urinary stone size.

Authors:  Narendra Narepalem; Chandru P Sundaram; Illya C Boridy; Yan Yan; Jay P Heiken; Ralph V Clayman
Journal:  J Urol       Date:  2002-03       Impact factor: 7.450

2.  Automated renal stone volume measurement by noncontrast computerized tomography is more reproducible than manual linear size measurement.

Authors:  Sutchin R Patel; Paul Stanton; Nathan Zelinski; Edward J Borman; Myron A Pozniak; Stephen Y Nakada; Perry J Pickhardt
Journal:  J Urol       Date:  2011-10-20       Impact factor: 7.450

3.  A 970 Hounsfield units (HU) threshold of kidney stone density on non-contrast computed tomography (NCCT) improves patients' selection for extracorporeal shockwave lithotripsy (ESWL): evidence from a prospective study.

Authors:  Idir Ouzaid; Said Al-qahtani; Sébastien Dominique; Vincent Hupertan; Pédro Fernandez; Jean-François Hermieu; Vincent Delmas; Vincent Ravery
Journal:  BJU Int       Date:  2012-02-28       Impact factor: 5.588

4.  Stone area and volume are correlated with operative time for cystolithotripsy for bladder calculi using a holmium: yttrium garnet laser.

Authors:  Takashi Kawahara; Hiroki Ito; Hideyuki Terao; Takehiko Ogawa; Hiroji Uemura; Yoshinobu Kubota; Junichi Matsuzaki
Journal:  Scand J Urol Nephrol       Date:  2012-03-27

5.  Acute ureteral obstruction: value of secondary signs of helical unenhanced CT.

Authors:  R C Smith; M Verga; N Dalrymple; S McCarthy; A T Rosenfield
Journal:  AJR Am J Roentgenol       Date:  1996-11       Impact factor: 3.959

6.  The most reliable preoperative assessment of renal stone burden as a predictor of stone-free status after flexible ureteroscopy with holmium laser lithotripsy: a single-center experience.

Authors:  Hiroki Ito; Takashi Kawahara; Hideyuki Terao; Takehiko Ogawa; Masahiro Yao; Yoshinobu Kubota; Junichi Matsuzaki
Journal:  Urology       Date:  2012-06-01       Impact factor: 2.649

7.  Hounsfield units on computed tomography predict calcium stone subtype composition.

Authors:  Sutchin R Patel; George Haleblian; August Zabbo; Gyan Pareek
Journal:  Urol Int       Date:  2009-09-10       Impact factor: 2.089

8.  Computed tomography-determined stone-free rates for ureteroscopy of upper-tract stones.

Authors:  Amanda Macejko; Onisuru T Okotie; Lee C Zhao; Jonathan Liu; Kent Perry; Robert B Nadler
Journal:  J Endourol       Date:  2009-03       Impact factor: 2.942

9.  Acute flank pain: comparison of non-contrast-enhanced CT and intravenous urography.

Authors:  R C Smith; A T Rosenfield; K A Choe; K R Essenmacher; M Verga; M G Glickman; R C Lange
Journal:  Radiology       Date:  1995-03       Impact factor: 11.105

10.  CT visible internal stone structure, but not Hounsfield unit value, of calcium oxalate monohydrate (COM) calculi predicts lithotripsy fragility in vitro.

Authors:  Chad A Zarse; Tariq A Hameed; Molly E Jackson; Yuri A Pishchalnikov; James E Lingeman; James A McAteer; James C Williams
Journal:  Urol Res       Date:  2007-06-13
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  6 in total

1.  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

2.  Small-angle X-ray scattering (SAXS) and nitrogen porosimetry (NP): two novel techniques for the evaluation of urinary stone hardness.

Authors:  Nick Vordos; Stilianos Giannakopoulos; Etienne F Vansant; Christos Kalaitzis; John W Nolan; Dimitrios V Bandekas; Ioannis Karavasilis; Athanasios Ch Mitropoulos; Stavros Touloupidis
Journal:  Int Urol Nephrol       Date:  2018-08-20       Impact factor: 2.370

3.  Ex vivo study: is it possible to overcome the blurriness caused by holmium laser fragmentation of kidney stones?

Authors:  Murat Tuğrul Eren; Hakan Özveri; Murat Kolay; Neslihan Yıldırım Saral; Mustafa Serteser
Journal:  Urolithiasis       Date:  2021-10-11       Impact factor: 3.436

4.  The combination of mean and maximum Hounsfield Unit allows more accurate prediction of uric acid stones.

Authors:  Long Qin; Jianhua Zhou; Wei Hu; Hu Zhang; Yunhui Tang; Mingyong Li
Journal:  Urolithiasis       Date:  2022-06-06       Impact factor: 2.861

5.  A new prediction model for operative time of flexible ureteroscopy with lithotripsy for the treatment of renal stones.

Authors:  Shinnosuke Kuroda; Hiroki Ito; Kentaro Sakamaki; Tadashi Tabei; Takashi Kawahara; Atsushi Fujikawa; Kazuhide Makiyama; Masahiro Yao; Hiroji Uemura; Junichi Matsuzaki
Journal:  PLoS One       Date:  2018-02-13       Impact factor: 3.240

6.  Influence of a Deep Learning Noise Reduction on the CT Values, Image Noise and Characterization of Kidney and Ureter Stones.

Authors:  Andrea Steuwe; Birte Valentin; Oliver T Bethge; Alexandra Ljimani; Günter Niegisch; Gerald Antoch; Joel Aissa
Journal:  Diagnostics (Basel)       Date:  2022-07-05
  6 in total

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