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Computed tomography-based quantitative assessment of lower extremity lymphedema following treatment for gynecologic cancer.

Identifieur interne : 000412 ( PubMed/Checkpoint ); précédent : 000411; suivant : 000413

Computed tomography-based quantitative assessment of lower extremity lymphedema following treatment for gynecologic cancer.

Auteurs : Ji Sung Yoo [Corée du Sud] ; Seung Hyun Chung [Corée du Sud] ; Myong Cheol Lim [Corée du Sud] ; Young Jae Kim [Corée du Sud] ; Kwang Gi Kim [Corée du Sud] ; Ji Hye Hwang [Corée du Sud] ; Yun Hee Kim [Corée du Sud]

Source :

RBID : pubmed:28028991

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English descriptors

Abstract

To develop an algorithmic quantitative skin and subcutaneous tissue volume measurement protocol for lower extremity lymphedema (LEL) patients using computed tomography (CT), to verify the usefulness of the measurement techniques in LEL patients, and to observe the structural characteristics of subcutaneous tissue according to the progression of LEL in gynecologic cancer.

DOI: 10.3802/jgo.2017.28.e18
PubMed: 28028991


Affiliations:


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pubmed:28028991

Le document en format XML

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<term>Adult</term>
<term>Aged</term>
<term>Female</term>
<term>Genital Neoplasms, Female (surgery)</term>
<term>Humans</term>
<term>Lower Extremity</term>
<term>Lymphedema (diagnostic imaging)</term>
<term>Lymphedema (pathology)</term>
<term>Middle Aged</term>
<term>Retrospective Studies</term>
<term>Risk Factors</term>
<term>Subcutaneous Tissue (diagnostic imaging)</term>
<term>Subcutaneous Tissue (pathology)</term>
<term>Tomography, X-Ray Computed (methods)</term>
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<term>Adulte</term>
<term>Adulte d'âge moyen</term>
<term>Facteurs de risque</term>
<term>Femelle</term>
<term>Humains</term>
<term>Lymphoedème (anatomopathologie)</term>
<term>Lymphoedème (imagerie diagnostique)</term>
<term>Membre inférieur</term>
<term>Sujet âgé</term>
<term>Tissu sous-cutané (anatomopathologie)</term>
<term>Tissu sous-cutané (imagerie diagnostique)</term>
<term>Tomodensitométrie ()</term>
<term>Tumeurs de l'appareil génital féminin ()</term>
<term>Études rétrospectives</term>
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<keywords scheme="MESH" qualifier="anatomopathologie" xml:lang="fr">
<term>Lymphoedème</term>
<term>Tissu sous-cutané</term>
</keywords>
<keywords scheme="MESH" qualifier="diagnostic imaging" xml:lang="en">
<term>Lymphedema</term>
<term>Subcutaneous Tissue</term>
</keywords>
<keywords scheme="MESH" qualifier="imagerie diagnostique" xml:lang="fr">
<term>Lymphoedème</term>
<term>Tissu sous-cutané</term>
</keywords>
<keywords scheme="MESH" qualifier="methods" xml:lang="en">
<term>Tomography, X-Ray Computed</term>
</keywords>
<keywords scheme="MESH" qualifier="pathology" xml:lang="en">
<term>Lymphedema</term>
<term>Subcutaneous Tissue</term>
</keywords>
<keywords scheme="MESH" qualifier="surgery" xml:lang="en">
<term>Genital Neoplasms, Female</term>
</keywords>
<keywords scheme="MESH" xml:lang="en">
<term>Adult</term>
<term>Aged</term>
<term>Female</term>
<term>Humans</term>
<term>Lower Extremity</term>
<term>Middle Aged</term>
<term>Retrospective Studies</term>
<term>Risk Factors</term>
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<term>Adulte d'âge moyen</term>
<term>Facteurs de risque</term>
<term>Femelle</term>
<term>Humains</term>
<term>Membre inférieur</term>
<term>Sujet âgé</term>
<term>Tomodensitométrie</term>
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<front>
<div type="abstract" xml:lang="en">To develop an algorithmic quantitative skin and subcutaneous tissue volume measurement protocol for lower extremity lymphedema (LEL) patients using computed tomography (CT), to verify the usefulness of the measurement techniques in LEL patients, and to observe the structural characteristics of subcutaneous tissue according to the progression of LEL in gynecologic cancer.</div>
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<DateCreated>
<Year>2016</Year>
<Month>12</Month>
<Day>28</Day>
</DateCreated>
<DateCompleted>
<Year>2017</Year>
<Month>08</Month>
<Day>08</Day>
</DateCompleted>
<DateRevised>
<Year>2017</Year>
<Month>08</Month>
<Day>08</Day>
</DateRevised>
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<Journal>
<ISSN IssnType="Electronic">2005-0399</ISSN>
<JournalIssue CitedMedium="Internet">
<Volume>28</Volume>
<Issue>2</Issue>
<PubDate>
<Year>2017</Year>
<Month>Mar</Month>
</PubDate>
</JournalIssue>
<Title>Journal of gynecologic oncology</Title>
<ISOAbbreviation>J Gynecol Oncol</ISOAbbreviation>
</Journal>
<ArticleTitle>Computed tomography-based quantitative assessment of lower extremity lymphedema following treatment for gynecologic cancer.</ArticleTitle>
<Pagination>
<MedlinePgn>e18</MedlinePgn>
</Pagination>
<ELocationID EIdType="doi" ValidYN="Y">10.3802/jgo.2017.28.e18</ELocationID>
<Abstract>
<AbstractText Label="OBJECTIVE" NlmCategory="OBJECTIVE">To develop an algorithmic quantitative skin and subcutaneous tissue volume measurement protocol for lower extremity lymphedema (LEL) patients using computed tomography (CT), to verify the usefulness of the measurement techniques in LEL patients, and to observe the structural characteristics of subcutaneous tissue according to the progression of LEL in gynecologic cancer.</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">A program for algorithmic quantitative analysis of lower extremity CT scans has been developed to measure the skin and subcutaneous volume, muscle compartment volume, and the extent of the peculiar trabecular area with a honeycombed pattern. The CT venographies of 50 lower extremities from 25 subjects were reviewed in two groups (acute and chronic lymphedema).</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">A significant increase in the total volume, subcutaneous volume, and extent of peculiar trabecular area with a honeycombed pattern except quantitative muscle volume was identified in the more-affected limb. The correlation of CT-based total volume and subcutaneous volume measurements with volumetry measurement was strong (correlation coefficient: 0.747 and 0.749, respectively). The larger extent of peculiar trabecular area with a honeycombed pattern in the subcutaneous tissue was identified in the more-affected limb of chronic lymphedema group.</AbstractText>
<AbstractText Label="CONCLUSION" NlmCategory="CONCLUSIONS">CT-based quantitative assessments could provide objective volume measurements and information about the structural characteristics of subcutaneous tissue in women with LEL following treatment for gynecologic cancer.</AbstractText>
</Abstract>
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<Affiliation>Rehabilitation Medicine, Research Institute and Hospital, National Cancer Center, Goyang, Korea.</Affiliation>
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<LastName>Chung</LastName>
<ForeName>Seung Hyun</ForeName>
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<Affiliation>Gynecologic Cancer Branch, Center for Uterine Cancer, and Center for Clinical Trials, Research Institute and Hospitaland Cancer Control and Policy, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Korea.</Affiliation>
</AffiliationInfo>
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<Affiliation>Department of Physical and Rehabilitation Medicine, Center for Prevention and Rehabilitation, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea. yunkim@skku.edu.</Affiliation>
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<DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName>
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<DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName>
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<MeshHeading>
<DescriptorName UI="D035002" MajorTopicYN="Y">Lower Extremity</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D008209" MajorTopicYN="N">Lymphedema</DescriptorName>
<QualifierName UI="Q000000981" MajorTopicYN="Y">diagnostic imaging</QualifierName>
<QualifierName UI="Q000473" MajorTopicYN="N">pathology</QualifierName>
</MeshHeading>
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</MeshHeading>
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<QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName>
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<KeywordList Owner="NOTNLM">
<Keyword MajorTopicYN="N">Genital Neoplasms, Female</Keyword>
<Keyword MajorTopicYN="N">Lymphedema</Keyword>
<Keyword MajorTopicYN="N">Quantitative Evaluation</Keyword>
<Keyword MajorTopicYN="N">Tomography, X-Ray Computed</Keyword>
</KeywordList>
<CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
</MedlineCitation>
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<Year>2016</Year>
<Month>08</Month>
<Day>22</Day>
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<PubMedPubDate PubStatus="revised">
<Year>2016</Year>
<Month>11</Month>
<Day>03</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="accepted">
<Year>2016</Year>
<Month>11</Month>
<Day>16</Day>
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<Year>2016</Year>
<Month>12</Month>
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<Hour>6</Hour>
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<PublicationStatus>ppublish</PublicationStatus>
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<ArticleId IdType="pii">28.e18</ArticleId>
<ArticleId IdType="doi">10.3802/jgo.2017.28.e18</ArticleId>
<ArticleId IdType="pmc">PMC5323285</ArticleId>
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<li>Corée du Sud</li>
</country>
<region>
<li>Région capitale de Séoul</li>
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<settlement>
<li>Séoul</li>
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<name sortKey="Yoo, Ji Sung" sort="Yoo, Ji Sung" uniqKey="Yoo J" first="Ji Sung" last="Yoo">Ji Sung Yoo</name>
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<name sortKey="Chung, Seung Hyun" sort="Chung, Seung Hyun" uniqKey="Chung S" first="Seung Hyun" last="Chung">Seung Hyun Chung</name>
<name sortKey="Hwang, Ji Hye" sort="Hwang, Ji Hye" uniqKey="Hwang J" first="Ji Hye" last="Hwang">Ji Hye Hwang</name>
<name sortKey="Kim, Kwang Gi" sort="Kim, Kwang Gi" uniqKey="Kim K" first="Kwang Gi" last="Kim">Kwang Gi Kim</name>
<name sortKey="Kim, Young Jae" sort="Kim, Young Jae" uniqKey="Kim Y" first="Young Jae" last="Kim">Young Jae Kim</name>
<name sortKey="Kim, Yun Hee" sort="Kim, Yun Hee" uniqKey="Kim Y" first="Yun Hee" last="Kim">Yun Hee Kim</name>
<name sortKey="Lim, Myong Cheol" sort="Lim, Myong Cheol" uniqKey="Lim M" first="Myong Cheol" last="Lim">Myong Cheol Lim</name>
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