Literature DB >> 16806419

Role of volume and attenuation value histogram of urinary stone on noncontrast helical computed tomography as predictor of fragility by extracorporeal shock wave lithotripsy.

Soichiro Yoshida1, Tetsuo Hayashi, Jun Ikeda, Atsushi Yoshinaga, Rena Ohno, Nobuyuki Ishii, Takemichi Okada, Hisato Osada, Norinari Honda, Takumi Yamada.   

Abstract

OBJECTIVES: To test, for the first time, the predictive capability of the total stone volume (TSV) and the attenuation value histogram. Recently, the mean attenuation value (MAV) of urinary stones has been recognized as a predictor of fragility by extracorporeal shock wave lithotripsy. However, properties other than MAV, including the TSV and the heterogeneity of attenuation value histogram, may also be related to fragility.
METHODS: A total of 62 renal and proximal ureteral radiopaque stones treated with extracorporeal shock wave lithotripsy were included in this prospective study. Stones less than 5 mm or greater than 20 mm were excluded. Attenuation value histograms were graphed from the data from noncontrast helical computed tomography scans. The TSV, MAV, and hump existence (HE) on the histogram were also calculated. These parameters were compared between the treatment success and treatment failure groups.
RESULTS: Of the 62 stones, 6 were excluded, 39 were in the success group, and 17 in the failure group. Of the 56 stones, 16 had a hump and 40 did not on the attenuation value histograms. The TSV, MAV, and HE were significantly different statistically between the two groups (P <0.001), with an accuracy of 82.1%, 83.9%, and 91.1%, respectively. Also, HE was the only independent predictor of success or failure of extracorporeal shock wave lithotripsy on multivariate analysis (P = 0.0073).
CONCLUSIONS: Our results have suggested that TSV, MAV, and HE are good predictors of stone fragility. The treatment modality of the stone should be selected according to the HE, which is a practical, simple, and predictive index.

Mesh:

Year:  2006        PMID: 16806419     DOI: 10.1016/j.urology.2006.01.052

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


  16 in total

1.  Consistency of Renal Stone Volume Measurements Across CT Scanner Model and Reconstruction Algorithm Configurations.

Authors:  Alice E Huang; Juan C Montoya; Maria Shiung; Shuai Leng; Cynthia H McCollough
Journal:  AJR Am J Roentgenol       Date:  2017-04-12       Impact factor: 3.959

2.  Advanced non-contrasted computed tomography post-processing by CT-Calculometry (CT-CM) outperforms established predictors for the outcome of shock wave lithotripsy.

Authors:  J Langenauer; P Betschart; L Hechelhammer; S Güsewell; H P Schmid; D S Engeler; D Abt; V Zumstein
Journal:  World J Urol       Date:  2018-05-29       Impact factor: 4.226

3.  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

4.  Kidney stone volume estimation from computerized tomography images using a model based method of correcting for the point spread function.

Authors:  Xinhui Duan; Jia Wang; Mingliang Qu; Shuai Leng; Yu Liu; Amy Krambeck; Cynthia McCollough
Journal:  J Urol       Date:  2012-07-21       Impact factor: 7.450

5.  Evaluation of computed tomography findings for success prediction after extracorporeal shock wave lithotripsy for urinary tract stone disease.

Authors:  Serdar Celik; Ozan Bozkurt; Fatih Gulbey Kaya; Sedat Egriboyun; Omer Demir; Mustafa Secil; Ilhan Celebi
Journal:  Int Urol Nephrol       Date:  2014-10-14       Impact factor: 2.370

6.  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

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

8.  Quantification of asymptomatic kidney stone burden by computed tomography for predicting future symptomatic stone events.

Authors:  Michael G Selby; Terri J Vrtiska; Amy E Krambeck; Cynthia H McCollough; Hisham E Elsherbiny; Eric J Bergstralh; John C Lieske; Andrew D Rule
Journal:  Urology       Date:  2014-10-22       Impact factor: 2.649

9.  Can stone density on plain radiography predict the outcome of extracorporeal shockwave lithotripsy for ureteral stones?

Authors:  Ki Hong Lim; Jin-Hee Jung; Jae Hyun Kwon; Yong Seok Lee; Jungbum Bae; Min Chul Cho; Kwang Soo Lee; Hae Won Lee
Journal:  Korean J Urol       Date:  2015-01-06

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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