Literature DB >> 19752613

Hounsfield units on computed tomography predict calcium stone subtype composition.

Sutchin R Patel1, George Haleblian, August Zabbo, Gyan Pareek.   

Abstract

INTRODUCTION: Hounsfield unit (HU) determination of urinary stones on noncontrast computed tomography (NCCT) has been shown to predict stone composition. However, no in vivo studies have attempted to radiographically separate the various calcium stone compositions. We investigate the efficacy of HU measurement on NCCT to determine if it can differentiate the various calcium stone subtypes. PATIENTS AND METHODS: Of the 684 patients who had undergone ureteroscopy at our institution from 1/2003 to 10/2007, 100 were identified with a documented NCCT, a chemical stone analysis and a stone size >5 mm but <2 cm.
RESULTS: Stone compositions were categorized as 100-80% calcium oxalate monohydrate (CaOMH) (n = 24), <80-60% CaOMH (n = 21), <60-50% CaOMH (n = 11) calcium oxalate dihydrate (CaODH) (n = 16), apatite (n = 9), brushite (n = 4), cystine (n = 2) and uric acid (n = 13). Mean HU were 879 +/- 230, 769 +/- 295, 717 +/- 304, and 517 +/- 203 for the 100-80% CaOMH, <80-60% CaOMH, <60-50% CaOMH and CaODH groups, respectively. The average HU for the apatite, brushite, cystine and uric acid groups were 844 +/- 346, 1,123 +/- 254, 550 +/- 74 and 338 +/- 145, respectively. The CaOMH groups together had a significantly higher HU than the CaODH group (p < 0.05) and a significantly lower HU than the brushite group (p < 0.05).
CONCLUSIONS: HU measurement of urinary stones on NCCT may be used to separate some calcium stone subtypes, specifically CaOMH and CaODH. This information may be useful in counseling patients on treatment options for patients requiring intervention. Copyright (c) 2009 S. Karger AG, Basel.

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Year:  2009        PMID: 19752613     DOI: 10.1159/000230020

Source DB:  PubMed          Journal:  Urol Int        ISSN: 0042-1138            Impact factor:   2.089


  14 in total

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

Authors:  Takashi Kawahara; Hiroshi Miyamoto; Hiroki Ito; Hideyuki Terao; Manabu Kakizoe; Yoshitake Kato; Hitoshi Ishiguro; Hiroji Uemura; Masahiro Yao; Junichi Matsuzaki
Journal:  Urolithiasis       Date:  2015-10-01       Impact factor: 3.436

2.  Diagnostic utility of attenuation measurement (Hounsfield units) in computed tomography stonogram in predicting the radio-opacity of urinary calculi in plain abdominal radiographs.

Authors:  Michael E Chua; Glenn T Gatchalian; Michael Vincent Corsino; Buenaventura B Reyes
Journal:  Int Urol Nephrol       Date:  2012-05-12       Impact factor: 2.370

Review 3.  Usefulness of hounsfield unit and density in the assessment and treatment of urinary stones.

Authors:  Adnan Gücük; Uğur Uyetürk
Journal:  World J Nephrol       Date:  2014-11-06

4.  The hounsfield unit value calculated with the aid of non-contrast computed tomography and its effect on the outcome of percutaneous nephrolithotomy.

Authors:  Alper Gok; Haci Polat; Ali Cift; Mehmet Ozgur Yucel; Bahri Gok; Mehmet Sirik; Can Benlioglu; Bedreddin Kalyenci
Journal:  Urolithiasis       Date:  2015-03-29       Impact factor: 3.436

5.  Fragility of brushite stones in shock wave lithotripsy: absence of correlation with computerized tomography visible structure.

Authors:  James C Williams; Tariq Hameed; Molly E Jackson; Syed Aftab; Alessia Gambaro; Yuri A Pishchalnikov; James E Lingeman; James A McAteer
Journal:  J Urol       Date:  2012-07-21       Impact factor: 7.450

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.  Evaluation of Hounsfield Units as a predictive factor for the outcome of extracorporeal shock wave lithotripsy and stone composition.

Authors:  Takehiko Nakasato; Jun Morita; Yoshio Ogawa
Journal:  Urolithiasis       Date:  2014-08-20       Impact factor: 3.436

Review 8.  Techniques for Minimizing Radiation Exposure During Evaluation, Surgical Treatment, and Follow-up of Urinary Lithiasis.

Authors:  Javier L Arenas; D Duane Baldwin
Journal:  Curr Urol Rep       Date:  2015-07       Impact factor: 3.092

9.  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

10.  Determination of optimal imaging settings for urolithiasis CT using filtered back projection (FBP), statistical iterative reconstruction (IR) and knowledge-based iterative model reconstruction (IMR): a physical human phantom study.

Authors:  Se Y Choi; Seung H Ahn; Jae D Choi; Jung H Kim; Byoung-Il Lee; Jeong-In Kim; Sung B Park
Journal:  Br J Radiol       Date:  2015-11-18       Impact factor: 3.039

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