Literature DB >> 18353389

Radiographic parameters on noncontrast computerized tomography predictive of shock wave lithotripsy success.

Ravi Kacker1, Lee Zhao, Amanda Macejko, Colby S Thaxton, Jeff Stern, Jonathan J Liu, Robert B Nadler.   

Abstract

PURPOSE: Accurate prediction of shock wave lithotripsy success for given patient and radiographic parameters will lead to improved selection of patients for shock wave lithotripsy vs more invasive treatment. In this study we determined which radiographic parameters are the most predictive of shock wave lithotripsy success, and present a method to incorporate these into current and future models based on nonradiographic parameters.
MATERIALS AND METHODS: A retrospective case-control study was performed to determine average, maximum and standard deviation of stone attenuation values, stone size and skin-to-stone distance on preoperative noncontrast computerized tomography for 220 patients successfully treated with shock wave lithotripsy and 105 patients in whom shock wave lithotripsy failed.
RESULTS: Average stone attenuation is the best independent predictor of shock wave lithotripsy success as determined by the Student t test (p <0.0001) and receiver operating characteristic curves. Odds and likelihood ratios are provided for shock wave lithotripsy success for incremental average HU cutoffs. An average HU cutoff can be established over which the refined probability of success is below an arbitrary minimally acceptable cutoff of a 60% stone-free rate. Using pre-test probabilities of shock wave lithotripsy success from nomograms in the literature, our data suggest that shock wave lithotripsy should be first line therapy for solitary 6 to 10 mm stones with an average stone attenuation of less than 1,000 and 640 HU for the proximal ureter and renal pelvis, respectively.
CONCLUSIONS: Average stone attenuation is a convenient radiographic measure that can be used to refine a known probability of shock wave lithotripsy success. Clinical HU cutoff guidelines can be determined based on current or future predictive nomograms based on other parameters.

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Year:  2008        PMID: 18353389     DOI: 10.1016/j.juro.2008.01.038

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


  12 in total

1.  Evaluating the importance of mean stone density and skin-to-stone distance in predicting successful shock wave lithotripsy of renal and ureteric calculi.

Authors:  Joshua D Wiesenthal; Daniela Ghiculete; R John D'A Honey; Kenneth T Pace
Journal:  Urol Res       Date:  2010-07-13

2.  Simple and practical nomograms for predicting the stone-free rate after shock wave lithotripsy in patients with a solitary upper ureteral stone.

Authors:  Naoya Niwa; Kazuhiro Matsumoto; Makoto Miyahara; Minami Omura; Hiroaki Kobayashi; Eiji Kikuchi; Akira Miyajima; Kazutoyo Miyata; Mototsugu Oya
Journal:  World J Urol       Date:  2017-02-20       Impact factor: 4.226

3.  Are Hounsfield densities of ureteral stones a predictive factor for effectiveness of extracorporeal shock wave lithotripsy?

Authors:  Basri Cakiroglu; S Erkan Eyyupoglu; Tuncay Tas; Mb Can Balci; Ismet Hazar; S Hilmi Aksoy; Orhun Sinanoglu
Journal:  Int J Clin Exp Med       Date:  2014-05-15

4.  Correlative investigation between routine clinical parameters of dual-energy computed tomography and the outcomes of extracorporeal shock wave lithotripsy in children with urolithiasis: a retrospective study.

Authors:  Beiwu Tu; Jianye Jia; Lengwei Yu; Huimin Li; Dengbin Wang
Journal:  Abdom Radiol (NY)       Date:  2021-06-10

5.  Histogram of kidney stones on non-contrast computed tomography to predict successful stone dusting during retrograde intrarenal surgery.

Authors:  Dong Soo Kim; Sung Kyoung Moon; Sang Hyub Lee
Journal:  World J Urol       Date:  2021-03-17       Impact factor: 4.226

6.  The effect of renal cortical thickness on the treatment outcomes of kidney stones treated with shockwave lithotripsy.

Authors:  Chi-Fai Ng; Sylvia Luke; Peter K F Chiu; Jeremy Y C Teoh; Ka-Tak Wong; Simon S M Hou
Journal:  Korean J Urol       Date:  2015-04-28

7.  Diuresis and inversion therapy to improve clearance of lower caliceal stones after shock wave lithotripsy: A prospective, randomized, controlled, clinical study.

Authors:  Abul-Fotouh Ahmed; Essam Shalaby; Aref Maarouf; Yasser Badran; Mahmoud Eladl; Ammar Ghobish
Journal:  Indian J Urol       Date:  2015 Apr-Jun

8.  Clinical Nomograms to Predict Stone-Free Rates after Shock-Wave Lithotripsy: Development and Internal-Validation.

Authors:  Jung Kwon Kim; Seung Beom Ha; Chan Hoo Jeon; Jong Jin Oh; Sung Yong Cho; Seung-June Oh; Hyeon Hoe Kim; Chang Wook Jeong
Journal:  PLoS One       Date:  2016-02-18       Impact factor: 3.240

9.  Stone attenuation value and cross-sectional area on computed tomography predict the success of shock wave lithotripsy.

Authors:  Michio Tanaka; Eisuke Yokota; Yoichiro Toyonaga; Fumitaka Shimizu; Yoshiyuki Ishii; Makoto Fujime; Shigeo Horie
Journal:  Korean J Urol       Date:  2013-07-15

10.  Optimal Skin-to-Stone Distance Is a Positive Predictor for Successful Outcomes in Upper Ureter Calculi following Extracorporeal Shock Wave Lithotripsy: A Bayesian Model Averaging Approach.

Authors:  Kang Su Cho; Hae Do Jung; Won Sik Ham; Doo Yong Chung; Yong Jin Kang; Won Sik Jang; Jong Kyou Kwon; Young Deuk Choi; Joo Yong Lee
Journal:  PLoS One       Date:  2015-12-14       Impact factor: 3.240

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