﻿<?xml version="1.0" encoding="UTF-8"?>
<ArticleSet>
  <Article>
    <Journal>
      <PublisherName>Tabriz University of Medical Sciences</PublisherName>
      <JournalTitle>Journal of Research in Clinical Medicine</JournalTitle>
      <Issn>2717-0616</Issn>
      <Volume>8</Volume>
      <Issue>1</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2020</Year>
        <Month>02</Month>
        <DAY>15</DAY>
      </PubDate>
    </Journal>
    <ArticleTitle>Can computerized tomography Hounsfield unit values be useful in the differential diagnosis of pleural effusion?</ArticleTitle>
    <FirstPage>26</FirstPage>
    <LastPage>26</LastPage>
    <ELocationID EIdType="doi">10.34172/jrcm.2020.026</ELocationID>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName>Fatma</FirstName>
        <LastName>Durmaz</LastName>
        <Identifier Source="ORCID">https://orcid.org/0000-0003-3089-7165</Identifier>
      </Author>
      <Author>
        <FirstName>Mesut</FirstName>
        <LastName>Özgökçe</LastName>
        <Identifier Source="ORCID">https://orcid.org/0000-0002-3095-2446</Identifier>
      </Author>
      <Author>
        <FirstName>Veysel Atilla</FirstName>
        <LastName>Ayyıldız</LastName>
        <Identifier Source="ORCID">https://orcid.org/0000-0003-0252-9023</Identifier>
      </Author>
      <Author>
        <FirstName>Buket Mermit</FirstName>
        <LastName>Çilingir</LastName>
        <Identifier Source="ORCID">https://orcid.org/0000-0002-4946-7029</Identifier>
      </Author>
      <Author>
        <FirstName>Cemil</FirstName>
        <LastName>Göya</LastName>
        <Identifier Source="ORCID">https://orcid.org/0000-0003-4792-8722</Identifier>
      </Author>
    </AuthorList>
    <PublicationType>Journal Article</PublicationType>
    <ArticleIdList>
      <ArticleId IdType="doi">10.34172/jrcm.2020.026</ArticleId>
    </ArticleIdList>
    <History>
      <PubDate PubStatus="received">
        <Year>2020</Year>
        <Month>03</Month>
        <Day>28</Day>
      </PubDate>
      <PubDate PubStatus="accepted">
        <Year>2020</Year>
        <Month>06</Month>
        <Day>13</Day>
      </PubDate>
    </History>
    <Abstract>Introduction: We aimed to investigate the efficacy of Hounsfield unit (HU) attenuation measured on computed tomography (CT) as a non-invasive method for pleural effusion characterization. Methods: Patients with pleural effusion who underwent thoracic CT imaging and thoracentesis within a maximum of three days were included in this retrospective study (15 transudate and 36 exudate). By drawing a circular region of interest (ROI) on the section with the thickest pleural effusion in terms of anteroposterior diameter in the upper-medial-lower zone on axial images, a total of three HU values, one from each level, were averaged. An independent t-test was applied to the CT attenuation (HU) values for the transudate-exudate differentiation. A receiver operating characteristic (ROC) analysis was then made. Results: The mean attenuation±standard deviation (minimum-maximum) value for the patients with transudate was 2.17±3.76 ((-7.5)-7.5) HU, whereas the mean HU value for the patients with exudate was 8.38±6.2 ((-6)-22). The independent t test made for the transudate-exudate differentiation revealed a statistically significant difference (P=0.001). In the ROC analysis carried out to determine the cut-off value of the attenuation value of pleural effusion in the transudate-exudate differentiation, the area under the curve was found to be 82.8%. When the cut-off value was taken as 2.75HU for the area under the curve, sensitivity was found to be 84%, and specificity was 60%. Conclusion: Although CT-HU values are statistically significant in the differential diagnosis of transudate-exudate, there is still a need to establish a correlation with other tomographic findings and clinical laboratory findings.</Abstract>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">Pleural effusion</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Computed tomography</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Attenuation</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Transudates</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Exudates</Param>
      </Object>
    </ObjectList>
  </Article>
</ArticleSet>