Literature DB >> 19542594

[CT SCAN as a predictor of composition and fragility of urinary lithiasis treated with extracorporeal shock wave lithotripsy in vitro].

Patricio García Marchiñena1, Nicolás Billordo Peres, Juan Liyo, Jorge Ocantos, Mariano Gonzalez, Alberto Jurado, Francisco Daels.   

Abstract

OBJECTIVES: To evaluate the ability of non contrast computed tomography (NCCT) to predict stone composition and fragility for treatment with extracorporeal shock wave lithotripsy (ESWL).
METHODS: 27 stones of about 10 mm from patients who had undergone different endourological procedures were collected. All patients had been evaluated with NCCT. To perform in vitro ESWL an experimental device was designed. Three thousand pulses were applied with 17.2 Kv intensity using an electromagnetic generator (Lithostar) to all stones. Composition of each fragment was studied with crystallographic study. Results were statistically analyzed with Student Test, Chi2 Test and multivariate study.
RESULTS: In vitro ESWL had a success rate of 59.26%. Average stone HU, grouped by composition: cistine 1015 HU, Calcium monohydrate oxalate 1193 HU, uric acid 419 HU, dihydrate calcium oxalate 2122 HU, struvite 1543 HU and basic phosphate magnesium 1517 HU. A statistically significant relationship was found between values which were lower than 500 HU and uric acid composition (p=0.0006), as well as values higher than 2000 HU and composition of dihydrated calcium acid (p=0.0244). In the group of stones with less than 1000 HU (n=11) efficacy was 81.1%, whereas it was 43.75% in the others (p=0.0479). We found a statistically significant relationship between uric acid and effectiveness (p=0.021). There was not statistically significant relationship between size and treatment effectiveness.
CONCLUSIONS: The use of NCCT will allow predicting stone composition and fragility.

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Year:  2009        PMID: 19542594     DOI: 10.4321/s0004-06142009000300007

Source DB:  PubMed          Journal:  Arch Esp Urol        ISSN: 0004-0614            Impact factor:   0.436


  5 in total

1.  Prediction of fragmentation of kidney stones: A statistical approach from NCCT images.

Authors:  Krishna Moorthy; Meenakshy Krishnan
Journal:  Can Urol Assoc J       Date:  2016-07-12       Impact factor: 1.862

2.  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

Review 3.  Recent finding and new technologies in nephrolitiasis: a review of the recent literature.

Authors:  Marco Rosa; Paolo Usai; Roberto Miano; Fernando J Kim; Enrico Finazzi Agrò; Pierluigi Bove; Salvatore Micali
Journal:  BMC Urol       Date:  2013-02-16       Impact factor: 2.264

Review 4.  Predicting stone composition before treatment - can it really drive clinical decisions?

Authors:  Ewa Bres-Niewada; Bartosz Dybowski; Piotr Radziszewski
Journal:  Cent European J Urol       Date:  2014-12-05

5.  Implementation of a Technique Based on Hounsfield Units and Hounsfield Density to Determine Kidney Stone Composition.

Authors:  Irvin Tadeo Rodríguez-Plata; Martha Medina-Escobedo; Mario Basulto-Martínez; Azalia Avila-Nava; Ana Ligia Gutiérrez-Solis; Nina Méndez-Domínguez; Roberto Lugo
Journal:  Tomography       Date:  2021-10-20
  5 in total

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