﻿<?xml version="1.0" encoding="UTF-8"?>
<ArticleSet>
  <Article>
    <Journal>
      <PublisherName>Nickan Research Institute</PublisherName>
      <JournalTitle>Journal of Renal Injury Prevention</JournalTitle>
      <Issn>2345-2781</Issn>
      <Volume>6</Volume>
      <Issue>3</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2017</Year>
        <Month>09</Month>
        <DAY>01</DAY>
      </PubDate>
    </Journal>
    <ArticleTitle>How spiral computed tomography can be helpful in the evaluation of urinary stones composition?</ArticleTitle>
    <FirstPage>188</FirstPage>
    <LastPage>191</LastPage>
    <ELocationID EIdType="doi">10.15171/jrip.2017.36</ELocationID>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName>Shahram</FirstName>
        <LastName>Gooran</LastName>
      </Author>
      <Author>
        <FirstName>Zohreh</FirstName>
        <LastName>Rohani</LastName>
      </Author>
      <Author>
        <FirstName>Sirvan</FirstName>
        <LastName>Akhgar</LastName>
      </Author>
      <Author>
        <FirstName>Mohsen</FirstName>
        <LastName>Rajabnia Chenari</LastName>
      </Author>
      <Author>
        <FirstName>Esmaeil</FirstName>
        <LastName>Rezghi Maleki</LastName>
      </Author>
      <Author>
        <FirstName>Behzad</FirstName>
        <LastName>Narouie</LastName>
      </Author>
    </AuthorList>
    <PublicationType>Journal Article</PublicationType>
    <ArticleIdList>
      <ArticleId IdType="doi">10.15171/jrip.2017.36</ArticleId>
    </ArticleIdList>
    <History>
    </History>
    <Abstract>Introduction: Knowing the composition of a urinary calculus is frequently a key factor in determining its most appropriate management. Helical computed tomography (CT) can provide helpful information on stone size and stone composition. Objectives: We sought to determine the urinary stone composition by CT characteristics. Materials and Methods: Since March 2008 till August 2009, 120 renal stones were obtained from patients who had undergone pyelolithotomy or nephrolithotomy at the Imam-Ali hospital, Zahedan, Iran. Stones with the largest diameter more than or equal to 5 mm were studied. Each calculus was placed inside the chicken lean meat. The radiologist was unaware of the exact chemical composition of the stones. We used independent sample t test for comparison of the absolute Hounsfield unit (HU) values of the different types of calculi. Results: Of total 120 participated patients, 67 (55.8%) were male and 53 of them (44.2%) were female. The mean age of cases was 35.8 ± 12.4 years. According to HU in CT scan and final confirmation with chemical analysis, the calculi were classified into several groups. Of 120 stones, 112 were chemically pure and 8 were mixed. There were 59 calcium oxalate, 27 calcium phosphate, 17 uric acid, 5 struvite, 4 cysteine and 8 mixed stones with variable ratios. In the analysis of the stones, overall difference between densities of the stones was statistically significant (P &lt; 0.001). Conclusion: According to the result of our study, we concluded that the use of non-contrast CT can be helpful in the prediction of urinary stone composition</Abstract>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">Kidney stones</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Computed tomography</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Urolithiasis</Param>
      </Object>
    </ObjectList>
  </Article>
</ArticleSet>