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  <Article>
    <Journal>
      <PublisherName>Okayama University Medical School</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>0386-300X</Issn>
      <Volume>65</Volume>
      <Issue>4</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2011</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>Preoperative Graft Volume Assessment with 3D-CT Volumetry in Living-Donor Lobar Lung Transplantations</ArticleTitle>
    <FirstPage LZero="delete">265</FirstPage>
    <LastPage>268</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Katsuhide</FirstName>
        <LastName>Kojima</LastName>
        <Affiliation/>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Katsuya</FirstName>
        <LastName>Kato</LastName>
        <Affiliation/>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Takahiro</FirstName>
        <LastName>Oto</LastName>
        <Affiliation/>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Toshiharu</FirstName>
        <LastName>Mitsuhashi</LastName>
        <Affiliation/>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Takayoshi</FirstName>
        <LastName>Shinya</LastName>
        <Affiliation/>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Tetsuro</FirstName>
        <LastName>Sei</LastName>
        <Affiliation/>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshihiro</FirstName>
        <LastName>Okumura</LastName>
        <Affiliation/>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Shuhei</FirstName>
        <LastName>Sato</LastName>
        <Affiliation/>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Shinichiro</FirstName>
        <LastName>Miyoshi</LastName>
        <Affiliation/>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Susumu</FirstName>
        <LastName>Kanazawa</LastName>
        <Affiliation/>
      </Author>
    </AuthorList>
    <PublicationType>Original Article</PublicationType>
    <ArticleIdList>
      <ArticleId IdType="doi">10.18926/AMO/46852</ArticleId>
    </ArticleIdList>
    <Abstract>To determine the effectiveness of living-donor lobar lung transplantation (LDLLT), it is necessary to predict the recipient's postoperative lung function. Traditionally, Date's formula, also called the segmental ratio, has used the number of lung segments to estimate the forced vital capacity (FVC) of grafts in LDLLT. To provide a more precise estimate of graft FVC, we calculated the volumes of the lower lobe and total lung using three-dimensional computed tomography (3D-CT) and the volume ratio between them. We calculated the volume ratio in 52 donors and tested the difference between the segmental volume ratios with a one-tailed t-test. We also calculated the predicted graft FVC in 21 LDLLTs using the segmental ratio pFVC(c) and the volume ratio pFVC(v), and then found the Pearson's correlation coefficients for both pFVC(c) and pFVC(v) with the recipients' actual FVC (rFVC) measured spirometrically 6 months after surgery. Significant differences were found between the segmental ratio and the average volume ratio for both sides (right, p＝0.03;left, p＝0.0003). Both pFVC(c) and pFVC(v) correlated significantly with rFVC at 6 months after surgery (p＝0.007 and 0.006). Both the conventional and the volumetric methods provided FVC predictions that correlated significantly with measured postoperative FVC.</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">living-donor lobar lung transplantation</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">3D-CT volumetry</Param>
      </Object>
    </ObjectList>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>Okayama University Medical School</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>0386-300X</Issn>
      <Volume>47</Volume>
      <Issue>2</Issue>
      <PubDate PubStatus="ppublish">
        <Year>1993</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>Multivariate analysis of magnetic resonance imaging of focal hepatic lesions.</ArticleTitle>
    <FirstPage LZero="delete">117</FirstPage>
    <LastPage>120</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Mamoru</FirstName>
        <LastName>Fujishima</LastName>
        <Affiliation/>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Ichizou</FirstName>
        <LastName>Suemitsu</LastName>
        <Affiliation/>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Tetsurou</FirstName>
        <LastName>Sei</LastName>
        <Affiliation/>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshihiro</FirstName>
        <LastName>Takeda</LastName>
        <Affiliation/>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshio</FirstName>
        <LastName>Hiraki</LastName>
        <Affiliation/>
      </Author>
    </AuthorList>
    <PublicationType>Article</PublicationType>
    <ArticleIdList>
      <ArticleId IdType="doi">10.18926/AMO/31576</ArticleId>
    </ArticleIdList>
    <Abstract>&lt;p&gt;A total of 124 lesions from 1 to 6cm in diameter, including 31 cavernous hemangiomas, 32 metastases and 61 hepatocellular carcinomas (HCC) were analyzed to study the usefulness of magnetic resonance imaging (MRI) at 0.5 Tesla to differentiate focal hepatic lesions on the basis of qualitative criteria. Each focal hepatic lesion was assessed for shape, internal architecture and signal intensity relative to normal liver parenchyma. While all cavernous hemangiomas and metastases except one lesion could be detected, detection rate of HCC was significantly inferior to that of the other two diseases. A tumor capsule and a hyperintense focus on T1-weighted images were demonstrated in only HCC lesions in strong contrast with the other two diseases; however, metastases with slow-growing characteristics or subacute hematoma may appear as similar images. Cavernous hemangiomas appeared markedly hyperintense on T2-weighted images in 23 of 31 lesions, but one metastasis and one HCC had similar images. A multivariate analysis of several MRI resulted in the following mean discriminant scores: cavernous hemangioma, -1.2652; metastasis, 0.1830; and HCC, 0.7138. It appeared to be possible to differentiate the three diseases with 84.4 percent accuracy.&lt;/p&gt;
</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">magnetic resonance imaging</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">liver neoplasms</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">multivariate analysis</Param>
      </Object>
    </ObjectList>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>岡山医学会</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>0030-1558</Issn>
      <Volume>106</Volume>
      <Issue>1-2</Issue>
      <PubDate PubStatus="ppublish">
        <Year>1994</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>シネ MRI の画像解析による心機能の定量評価に関する研究</ArticleTitle>
    <FirstPage LZero="delete">163</FirstPage>
    <LastPage>171</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Tetsurou</FirstName>
        <LastName>Sei</LastName>
        <Affiliation/>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract>Non-invasive techniques for measuring the dynamic behavior of the cardiac ventricle can be invaluable tool for diagnosing heart disease. In this paper, we present methods for quantia-tive analysis of cardiac function using magnetic rasonance images. A 256×256 magnetic resonance transaxial image of the cardiac ventricle was obtained from a healthy subject. After gray level thresholding and region segmentation, the bounday of the ventricular chamber was extracted. Then, the boundaries of the ventricular chamber were displayed therr-dimensionally using the Z-buffer algoritm. Thus, ventricular volume and ejection fraction were calcullated. In our example, left ventricular ejection fraction was 61%. These results agree with the corresponding data obtained by the echo-cardiography.</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">MRI</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">cardiac function</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">image processing</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">three dimensional raconstruction</Param>
      </Object>
    </ObjectList>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName/>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn/>
      <Volume/>
      <Issue/>
      <PubDate PubStatus="ppublish">
        <Year>1994</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>シネMRIの画像解析による心機能の定量評価に関する研究</ArticleTitle>
    <FirstPage LZero="delete"/>
    <LastPage/>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N"/>
        <LastName/>
        <Affiliation/>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract/>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList/>
    <ReferenceList/>
  </Article>
</ArticleSet>
