2113 DUAL SOURCE COMPUTED TOMOGRAPHY FOR DETERMINATION OF STONE COMPOSITION: A PHANTOM STUDY

Abstract

You have accessJournal of UrologyStone Disease: New Technology1 Apr 20102113 DUAL SOURCE COMPUTED TOMOGRAPHY FOR DETERMINATION OF STONE COMPOSITION: A PHANTOM STUDY Brian Eisner, Ali Daha, Avinash Kambadakone, Mohummad Siddiqui, and Dushyant Sahani Brian EisnerBrian Eisner More articles by this author , Ali DahaAli Daha More articles by this author , Avinash KambadakoneAvinash Kambadakone More articles by this author , Mohummad SiddiquiMohummad Siddiqui More articles by this author , and Dushyant SahaniDushyant Sahani More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2010.02.2200AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES The ability to determine stone composition when evaluating patients with urolithiasis has important clinical implications. Patients with symptomatic uric acid, cystine, and/or struvite stones might be treated differently than those with pure calcium stones. The purpose of this study was to examine the accuracy of a novel computed tomography (CT) technology, dual source computed tomography (DSCT), in determining stone composition. METHODS Sixty-five (65) urinary tract stones (mean diameter 5 mm, range 2-18mm) of known pure composition (16 uric acid, 10 cysteine, 14 brushite, 12 calcium oxalate and 13 struvite stones), to simulate stones in renal collecting system. DSCT was performed on a dual source CT scanner (Somatom Definition) with the following settings:80kV/350-380mAs and 140kV/80-98mAs, 14 x 1.2 mm/64x0.6mm. Post-processing was performed using a 3-material decomposition algorithm on the scanner console (Syngo VA 11; Siemens). Using the preset algorithm differentiation between the uric acid and nonuric acid stones was done. RESULTS DSCT had a sensitivity and accuracy of 100% in the differentiation of pure uric acid from non-uric acid stones in the phantom model. Differentiation of cysteine and struvite stones from other stones was possible in 90% cysteine stones (9/10) and 84.2% struvite stones (11/13). CONCLUSIONS In this phantom study, DSCT had excellent sensitivity and accuracy in differentiating pure uric acid stones from non-uric acid stones. In addition this technology showed promise in identifying cystine and struvite stones. Pre-treatment knowledge of stone composition using DSCT may enable urologists to perform more patient-specific interventions. Boston, MA© 2010 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 183Issue 4SApril 2010Page: e821 Advertisement Copyright & Permissions© 2010 by American Urological Association Education and Research, Inc.MetricsAuthor Information Brian Eisner More articles by this author Ali Daha More articles by this author Avinash Kambadakone More articles by this author Mohummad Siddiqui More articles by this author Dushyant Sahani More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...