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

Identifieur interne : 008B60 ( Ncbi/Merge ); précédent : 008B59; suivant : 008B61

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 : PMC:5323285

Descripteurs français

English descriptors

Abstract

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.

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).

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.

Conclusion

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.


Url:
DOI: 10.3802/jgo.2017.28.e18
PubMed: 28028991
PubMed Central: 5323285

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PMC:5323285

Le document en format XML

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<title level="j">Journal of Gynecologic Oncology</title>
<idno type="ISSN">2005-0380</idno>
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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>
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<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>
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<term>Lymphoedème</term>
<term>Tissu sous-cutané</term>
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<keywords scheme="MESH" qualifier="diagnostic imaging" xml:lang="en">
<term>Lymphedema</term>
<term>Subcutaneous Tissue</term>
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<term>Lymphoedème</term>
<term>Tissu sous-cutané</term>
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<term>Tomography, X-Ray Computed</term>
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<term>Lymphedema</term>
<term>Subcutaneous Tissue</term>
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<term>Genital Neoplasms, Female</term>
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<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>
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<div type="abstract" xml:lang="en">
<sec>
<title>Objective</title>
<p>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.</p>
</sec>
<sec>
<title>Methods</title>
<p>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).</p>
</sec>
<sec>
<title>Results</title>
<p>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.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>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.</p>
</sec>
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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>
<affiliation wicri:level="1">
<nlm:aff id="A1">Rehabilitation Medicine, Research Institute and Hospital, National Cancer Center, Goyang,
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<country xml:lang="fr">Corée du Sud</country>
<wicri:regionArea># see nlm:aff country strict</wicri:regionArea>
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<author>
<name sortKey="Chung, Seung Hyun" sort="Chung, Seung Hyun" uniqKey="Chung S" first="Seung Hyun" last="Chung">Seung Hyun Chung</name>
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<country xml:lang="fr">Corée du Sud</country>
<wicri:regionArea># see nlm:aff country strict</wicri:regionArea>
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<author>
<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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<nlm:aff id="A2">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,
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<country xml:lang="fr">Corée du Sud</country>
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<author>
<name sortKey="Kim, Young Jae" sort="Kim, Young Jae" uniqKey="Kim Y" first="Young Jae" last="Kim">Young Jae Kim</name>
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<nlm:aff id="A3">Biomedical Engineering Branch, Division of Precision Medicine and Cancer Informatics, Research Institute, National Cancer Center, Goyang,
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.</nlm:aff>
<country xml:lang="fr">Corée du Sud</country>
<wicri:regionArea># see nlm:aff country strict</wicri:regionArea>
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</author>
<author>
<name sortKey="Kim, Kwang Gi" sort="Kim, Kwang Gi" uniqKey="Kim K" first="Kwang Gi" last="Kim">Kwang Gi Kim</name>
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<nlm:aff id="A3">Biomedical Engineering Branch, Division of Precision Medicine and Cancer Informatics, Research Institute, National Cancer Center, Goyang,
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<country xml:lang="fr">Corée du Sud</country>
<wicri:regionArea># see nlm:aff country strict</wicri:regionArea>
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<author>
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.</nlm:aff>
<country xml:lang="fr">Corée du Sud</country>
<wicri:regionArea># see nlm:aff country strict</wicri:regionArea>
</affiliation>
</author>
<author>
<name sortKey="Kim, Yun Hee" sort="Kim, Yun Hee" uniqKey="Kim Y" first="Yun-Hee" last="Kim">Yun-Hee Kim</name>
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<nlm:aff id="A5">Department of Physical and Rehabilitation Medicine, Center for Prevention and Rehabilitation, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul,
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.</nlm:aff>
<country xml:lang="fr">Corée du Sud</country>
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<title xml:lang="en" level="a" type="main">Computed tomography-based quantitative assessment of lower extremity lymphedema following treatment for gynecologic cancer</title>
<author>
<name sortKey="Yoo, Ji Sung" sort="Yoo, Ji Sung" uniqKey="Yoo J" first="Ji Sung" last="Yoo">Ji Sung Yoo</name>
<affiliation wicri:level="1">
<nlm:aff id="A1">Rehabilitation Medicine, Research Institute and Hospital, National Cancer Center, Goyang,
<country>Korea</country>
.</nlm:aff>
<country xml:lang="fr">Corée du Sud</country>
<wicri:regionArea># see nlm:aff country strict</wicri:regionArea>
</affiliation>
</author>
<author>
<name sortKey="Chung, Seung Hyun" sort="Chung, Seung Hyun" uniqKey="Chung S" first="Seung Hyun" last="Chung">Seung Hyun Chung</name>
<affiliation wicri:level="1">
<nlm:aff id="A1">Rehabilitation Medicine, Research Institute and Hospital, National Cancer Center, Goyang,
<country>Korea</country>
.</nlm:aff>
<country xml:lang="fr">Corée du Sud</country>
<wicri:regionArea># see nlm:aff country strict</wicri:regionArea>
</affiliation>
</author>
<author>
<name sortKey="Lim, Myong Cheol" sort="Lim, Myong Cheol" uniqKey="Lim M" first="Myong Cheol" last="Lim">Myong Cheol Lim</name>
<affiliation wicri:level="1">
<nlm:aff id="A2">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,
<country>Korea</country>
.</nlm:aff>
<country xml:lang="fr">Corée du Sud</country>
<wicri:regionArea># see nlm:aff country strict</wicri:regionArea>
</affiliation>
</author>
<author>
<name sortKey="Kim, Young Jae" sort="Kim, Young Jae" uniqKey="Kim Y" first="Young Jae" last="Kim">Young Jae Kim</name>
<affiliation wicri:level="1">
<nlm:aff id="A3">Biomedical Engineering Branch, Division of Precision Medicine and Cancer Informatics, Research Institute, National Cancer Center, Goyang,
<country>Korea</country>
.</nlm:aff>
<country xml:lang="fr">Corée du Sud</country>
<wicri:regionArea># see nlm:aff country strict</wicri:regionArea>
</affiliation>
</author>
<author>
<name sortKey="Kim, Kwang Gi" sort="Kim, Kwang Gi" uniqKey="Kim K" first="Kwang Gi" last="Kim">Kwang Gi Kim</name>
<affiliation wicri:level="1">
<nlm:aff id="A3">Biomedical Engineering Branch, Division of Precision Medicine and Cancer Informatics, Research Institute, National Cancer Center, Goyang,
<country>Korea</country>
.</nlm:aff>
<country xml:lang="fr">Corée du Sud</country>
<wicri:regionArea># see nlm:aff country strict</wicri:regionArea>
</affiliation>
</author>
<author>
<name sortKey="Hwang, Ji Hye" sort="Hwang, Ji Hye" uniqKey="Hwang J" first="Ji Hye" last="Hwang">Ji Hye Hwang</name>
<affiliation wicri:level="1">
<nlm:aff id="A4">Department of Physical and Rehabilitation Medicine, Center for Supportive Care, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul,
<country>Korea</country>
.</nlm:aff>
<country xml:lang="fr">Corée du Sud</country>
<wicri:regionArea># see nlm:aff country strict</wicri:regionArea>
</affiliation>
</author>
<author>
<name sortKey="Kim, Yun Hee" sort="Kim, Yun Hee" uniqKey="Kim Y" first="Yun-Hee" last="Kim">Yun-Hee Kim</name>
<affiliation wicri:level="1">
<nlm:aff id="A5">Department of Physical and Rehabilitation Medicine, Center for Prevention and Rehabilitation, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul,
<country>Korea</country>
.</nlm:aff>
<country xml:lang="fr">Corée du Sud</country>
<wicri:regionArea># see nlm:aff country strict</wicri:regionArea>
</affiliation>
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</analytic>
<series>
<title level="j">Journal of Gynecologic Oncology</title>
<idno type="ISSN">2005-0380</idno>
<idno type="eISSN">2005-0399</idno>
<imprint>
<date when="2016">2016</date>
</imprint>
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<front>
<div type="abstract" xml:lang="en">
<sec>
<title>Objective</title>
<p>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.</p>
</sec>
<sec>
<title>Methods</title>
<p>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).</p>
</sec>
<sec>
<title>Results</title>
<p>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.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>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.</p>
</sec>
</div>
</front>
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<title level="j">Journal of gynecologic oncology</title>
<idno type="eISSN">2005-0399</idno>
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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>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr">
<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>
</keywords>
<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>
</keywords>
<keywords scheme="MESH" xml:lang="fr">
<term>Adulte</term>
<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>
<term>Tumeurs de l'appareil génital féminin</term>
<term>Études rétrospectives</term>
</keywords>
</textClass>
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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>
</front>
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