Ultrasound and Clinical Measures for Lymphedema.
Identifieur interne : 000B38 ( PubMed/Curation ); précédent : 000B37; suivant : 000B39Ultrasound and Clinical Measures for Lymphedema.
Auteurs : Kristine C. Johnson [États-Unis] ; Mike Desarno [États-Unis] ; Taka Ashikaga [États-Unis] ; Justine Dee [États-Unis] ; Sharon M. Henry [États-Unis]Source :
- Lymphatic research and biology [ 1557-8585 ] ; 2016.
Descripteurs français
- KwdFr :
- Adulte d'âge moyen, Enquêtes et questionnaires, Femelle, Fibrose (imagerie diagnostique), Humains, Lymphoedème après cancer du sein (imagerie diagnostique), Membre supérieur (anatomopathologie), Peau (anatomopathologie), Reproductibilité des résultats, Sensibilité et spécificité, Sujet âgé, Sujet âgé de 80 ans ou plus, Échographie (), Études longitudinales.
- MESH :
- anatomopathologie : Membre supérieur, Peau.
- imagerie diagnostique : Fibrose, Lymphoedème après cancer du sein.
- Adulte d'âge moyen, Enquêtes et questionnaires, Femelle, Humains, Reproductibilité des résultats, Sensibilité et spécificité, Sujet âgé, Sujet âgé de 80 ans ou plus, Échographie, Études longitudinales.
English descriptors
- KwdEn :
- Aged, Aged, 80 and over, Breast Cancer Lymphedema (diagnostic imaging), Female, Fibrosis (diagnostic imaging), Humans, Longitudinal Studies, Middle Aged, Reproducibility of Results, Sensitivity and Specificity, Skin (pathology), Surveys and Questionnaires, Ultrasonography (methods), Upper Extremity (pathology).
- MESH :
- diagnostic imaging : Breast Cancer Lymphedema, Fibrosis.
- methods : Ultrasonography.
- pathology : Skin, Upper Extremity.
- Aged, Aged, 80 and over, Female, Humans, Longitudinal Studies, Middle Aged, Reproducibility of Results, Sensitivity and Specificity, Surveys and Questionnaires.
Abstract
Treatment for breast cancer has increased patient survivorship exponentially over the past few decades. With increased survivorship, more women are living with the longstanding effects of breast cancer treatment, such as lymphedema. Patients, health care providers, and payers depend on practical and efficient clinical measures to accurately diagnose and monitor disease progression or regression. However, current clinical measures do not include objective measures that assess lymphedetamous tissue accurately. This study compared current measures to a novel use of ultrasound (US) imaging to quantify tissue texture.
DOI: 10.1089/lrb.2015.0001
PubMed: 26574872
Links toward previous steps (curation, corpus...)
- to stream PubMed, to step Corpus: Pour aller vers cette notice dans l'étape Curation :000B38
Links to Exploration step
pubmed:26574872Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Ultrasound and Clinical Measures for Lymphedema.</title><author><name sortKey="Johnson, Kristine C" sort="Johnson, Kristine C" uniqKey="Johnson K" first="Kristine C" last="Johnson">Kristine C. Johnson</name><affiliation wicri:level="2"><nlm:affiliation>1 Department of Rehabilitation and Movement Science, University of Vermont , Burlington, Vermont.</nlm:affiliation><country xml:lang="fr">États-Unis</country><placeName><region type="state">Vermont</region></placeName><wicri:cityArea>1 Department of Rehabilitation and Movement Science, University of Vermont , Burlington</wicri:cityArea></affiliation></author><author><name sortKey="Desarno, Mike" sort="Desarno, Mike" uniqKey="Desarno M" first="Mike" last="Desarno">Mike Desarno</name><affiliation wicri:level="2"><nlm:affiliation>2 Department of Biostatistics, University of Vermont , Burlington, Vermont.</nlm:affiliation><country xml:lang="fr">États-Unis</country><placeName><region type="state">Vermont</region></placeName><wicri:cityArea>2 Department of Biostatistics, University of Vermont , Burlington</wicri:cityArea></affiliation></author><author><name sortKey="Ashikaga, Taka" sort="Ashikaga, Taka" uniqKey="Ashikaga T" first="Taka" last="Ashikaga">Taka Ashikaga</name><affiliation wicri:level="2"><nlm:affiliation>2 Department of Biostatistics, University of Vermont , Burlington, Vermont.</nlm:affiliation><country xml:lang="fr">États-Unis</country><placeName><region type="state">Vermont</region></placeName><wicri:cityArea>2 Department of Biostatistics, University of Vermont , Burlington</wicri:cityArea></affiliation></author><author><name sortKey="Dee, Justine" sort="Dee, Justine" uniqKey="Dee J" first="Justine" last="Dee">Justine Dee</name><affiliation wicri:level="2"><nlm:affiliation>1 Department of Rehabilitation and Movement Science, University of Vermont , Burlington, Vermont.</nlm:affiliation><country xml:lang="fr">États-Unis</country><placeName><region type="state">Vermont</region></placeName><wicri:cityArea>1 Department of Rehabilitation and Movement Science, University of Vermont , Burlington</wicri:cityArea></affiliation></author><author><name sortKey="Henry, Sharon M" sort="Henry, Sharon M" uniqKey="Henry S" first="Sharon M" last="Henry">Sharon M. Henry</name><affiliation wicri:level="2"><nlm:affiliation>1 Department of Rehabilitation and Movement Science, University of Vermont , Burlington, Vermont.</nlm:affiliation><country xml:lang="fr">États-Unis</country><placeName><region type="state">Vermont</region></placeName><wicri:cityArea>1 Department of Rehabilitation and Movement Science, University of Vermont , Burlington</wicri:cityArea></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2016">2016</date><idno type="RBID">pubmed:26574872</idno><idno type="pmid">26574872</idno><idno type="doi">10.1089/lrb.2015.0001</idno><idno type="wicri:Area/PubMed/Corpus">000B38</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000B38</idno><idno type="wicri:Area/PubMed/Curation">000B38</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Curation">000B38</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Ultrasound and Clinical Measures for Lymphedema.</title><author><name sortKey="Johnson, Kristine C" sort="Johnson, Kristine C" uniqKey="Johnson K" first="Kristine C" last="Johnson">Kristine C. Johnson</name><affiliation wicri:level="2"><nlm:affiliation>1 Department of Rehabilitation and Movement Science, University of Vermont , Burlington, Vermont.</nlm:affiliation><country xml:lang="fr">États-Unis</country><placeName><region type="state">Vermont</region></placeName><wicri:cityArea>1 Department of Rehabilitation and Movement Science, University of Vermont , Burlington</wicri:cityArea></affiliation></author><author><name sortKey="Desarno, Mike" sort="Desarno, Mike" uniqKey="Desarno M" first="Mike" last="Desarno">Mike Desarno</name><affiliation wicri:level="2"><nlm:affiliation>2 Department of Biostatistics, University of Vermont , Burlington, Vermont.</nlm:affiliation><country xml:lang="fr">États-Unis</country><placeName><region type="state">Vermont</region></placeName><wicri:cityArea>2 Department of Biostatistics, University of Vermont , Burlington</wicri:cityArea></affiliation></author><author><name sortKey="Ashikaga, Taka" sort="Ashikaga, Taka" uniqKey="Ashikaga T" first="Taka" last="Ashikaga">Taka Ashikaga</name><affiliation wicri:level="2"><nlm:affiliation>2 Department of Biostatistics, University of Vermont , Burlington, Vermont.</nlm:affiliation><country xml:lang="fr">États-Unis</country><placeName><region type="state">Vermont</region></placeName><wicri:cityArea>2 Department of Biostatistics, University of Vermont , Burlington</wicri:cityArea></affiliation></author><author><name sortKey="Dee, Justine" sort="Dee, Justine" uniqKey="Dee J" first="Justine" last="Dee">Justine Dee</name><affiliation wicri:level="2"><nlm:affiliation>1 Department of Rehabilitation and Movement Science, University of Vermont , Burlington, Vermont.</nlm:affiliation><country xml:lang="fr">États-Unis</country><placeName><region type="state">Vermont</region></placeName><wicri:cityArea>1 Department of Rehabilitation and Movement Science, University of Vermont , Burlington</wicri:cityArea></affiliation></author><author><name sortKey="Henry, Sharon M" sort="Henry, Sharon M" uniqKey="Henry S" first="Sharon M" last="Henry">Sharon M. Henry</name><affiliation wicri:level="2"><nlm:affiliation>1 Department of Rehabilitation and Movement Science, University of Vermont , Burlington, Vermont.</nlm:affiliation><country xml:lang="fr">États-Unis</country><placeName><region type="state">Vermont</region></placeName><wicri:cityArea>1 Department of Rehabilitation and Movement Science, University of Vermont , Burlington</wicri:cityArea></affiliation></author></analytic><series><title level="j">Lymphatic research and biology</title><idno type="eISSN">1557-8585</idno><imprint><date when="2016" type="published">2016</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Aged</term><term>Aged, 80 and over</term><term>Breast Cancer Lymphedema (diagnostic imaging)</term><term>Female</term><term>Fibrosis (diagnostic imaging)</term><term>Humans</term><term>Longitudinal Studies</term><term>Middle Aged</term><term>Reproducibility of Results</term><term>Sensitivity and Specificity</term><term>Skin (pathology)</term><term>Surveys and Questionnaires</term><term>Ultrasonography (methods)</term><term>Upper Extremity (pathology)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Adulte d'âge moyen</term><term>Enquêtes et questionnaires</term><term>Femelle</term><term>Fibrose (imagerie diagnostique)</term><term>Humains</term><term>Lymphoedème après cancer du sein (imagerie diagnostique)</term><term>Membre supérieur (anatomopathologie)</term><term>Peau (anatomopathologie)</term><term>Reproductibilité des résultats</term><term>Sensibilité et spécificité</term><term>Sujet âgé</term><term>Sujet âgé de 80 ans ou plus</term><term>Échographie ()</term><term>Études longitudinales</term></keywords><keywords scheme="MESH" qualifier="anatomopathologie" xml:lang="fr"><term>Membre supérieur</term><term>Peau</term></keywords><keywords scheme="MESH" qualifier="diagnostic imaging" xml:lang="en"><term>Breast Cancer Lymphedema</term><term>Fibrosis</term></keywords><keywords scheme="MESH" qualifier="imagerie diagnostique" xml:lang="fr"><term>Fibrose</term><term>Lymphoedème après cancer du sein</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Ultrasonography</term></keywords><keywords scheme="MESH" qualifier="pathology" xml:lang="en"><term>Skin</term><term>Upper Extremity</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Aged</term><term>Aged, 80 and over</term><term>Female</term><term>Humans</term><term>Longitudinal Studies</term><term>Middle Aged</term><term>Reproducibility of Results</term><term>Sensitivity and Specificity</term><term>Surveys and Questionnaires</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adulte d'âge moyen</term><term>Enquêtes et questionnaires</term><term>Femelle</term><term>Humains</term><term>Reproductibilité des résultats</term><term>Sensibilité et spécificité</term><term>Sujet âgé</term><term>Sujet âgé de 80 ans ou plus</term><term>Échographie</term><term>Études longitudinales</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Treatment for breast cancer has increased patient survivorship exponentially over the past few decades. With increased survivorship, more women are living with the longstanding effects of breast cancer treatment, such as lymphedema. Patients, health care providers, and payers depend on practical and efficient clinical measures to accurately diagnose and monitor disease progression or regression. However, current clinical measures do not include objective measures that assess lymphedetamous tissue accurately. This study compared current measures to a novel use of ultrasound (US) imaging to quantify tissue texture.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">26574872</PMID><DateCreated><Year>2016</Year><Month>03</Month><Day>17</Day></DateCreated><DateCompleted><Year>2016</Year><Month>12</Month><Day>13</Day></DateCompleted><DateRevised><Year>2016</Year><Month>12</Month><Day>30</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1557-8585</ISSN><JournalIssue CitedMedium="Internet"><Volume>14</Volume><Issue>1</Issue><PubDate><Year>2016</Year><Month>Mar</Month></PubDate></JournalIssue><Title>Lymphatic research and biology</Title><ISOAbbreviation>Lymphat Res Biol</ISOAbbreviation></Journal><ArticleTitle>Ultrasound and Clinical Measures for Lymphedema.</ArticleTitle><Pagination><MedlinePgn>8-17</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1089/lrb.2015.0001</ELocationID><Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">Treatment for breast cancer has increased patient survivorship exponentially over the past few decades. With increased survivorship, more women are living with the longstanding effects of breast cancer treatment, such as lymphedema. Patients, health care providers, and payers depend on practical and efficient clinical measures to accurately diagnose and monitor disease progression or regression. However, current clinical measures do not include objective measures that assess lymphedetamous tissue accurately. This study compared current measures to a novel use of ultrasound (US) imaging to quantify tissue texture.</AbstractText><AbstractText Label="METHODS AND RESULTS" NlmCategory="RESULTS">Seventeen women diagnosed with lymphedema completed self-report questionnaires and then were tested twice by two lymphedema physical therapists who measured edema, fibrosis, and limb volume differences. One therapist measured subjects' limbs using US imaging and derived measures of entropy and average pixel intensity. Volume measures were consistent between therapists (p < 0.01) but palpation was not (0.01 < p < 0.72). Therapists' measures correlated better to subjects' self-report of edema (0.01 < p > 0.32) as compared to fibrosis (0.23 < p > 0.90). US measures were reliable (Cronbachs's α = 0.7 and 0.91 for entropy and API, respectively). Entropy measures demonstrated significant differences between subjects' involved versus uninvolved forearms (p = 0.03).</AbstractText><AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">Therapists were not consistent with each other when rating edema or fibrosis; however, they were consistent when measuring limb volume differences. US measures (entropy) demonstrated a significant difference between involved and uninvolved. US imaging, as a tool to quantify subcutaneous tissues, holds promise to be a safe, mobile, and effective method to measure lymphedema tissue texture.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Johnson</LastName><ForeName>Kristine C</ForeName><Initials>KC</Initials><AffiliationInfo><Affiliation>1 Department of Rehabilitation and Movement Science, University of Vermont , Burlington, Vermont.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>DeSarno</LastName><ForeName>Mike</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>2 Department of Biostatistics, University of Vermont , Burlington, Vermont.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ashikaga</LastName><ForeName>Taka</ForeName><Initials>T</Initials><AffiliationInfo><Affiliation>2 Department of Biostatistics, University of Vermont , Burlington, Vermont.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Dee</LastName><ForeName>Justine</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>1 Department of Rehabilitation and Movement Science, University of Vermont , Burlington, Vermont.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Henry</LastName><ForeName>Sharon M</ForeName><Initials>SM</Initials><AffiliationInfo><Affiliation>1 Department of Rehabilitation and Movement Science, University of Vermont , Burlington, Vermont.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2015</Year><Month>11</Month><Day>17</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>Lymphat Res Biol</MedlineTA><NlmUniqueID>101163587</NlmUniqueID><ISSNLinking>1539-6851</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000369" MajorTopicYN="N">Aged, 80 and over</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000072656" MajorTopicYN="N">Breast Cancer Lymphedema</DescriptorName><QualifierName UI="Q000000981" MajorTopicYN="Y">diagnostic imaging</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005355" MajorTopicYN="N">Fibrosis</DescriptorName><QualifierName UI="Q000000981" MajorTopicYN="N">diagnostic imaging</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008137" MajorTopicYN="N">Longitudinal Studies</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015203" MajorTopicYN="N">Reproducibility of Results</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012680" MajorTopicYN="N">Sensitivity and Specificity</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012867" MajorTopicYN="N">Skin</DescriptorName><QualifierName UI="Q000473" MajorTopicYN="N">pathology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D011795" MajorTopicYN="Y">Surveys and Questionnaires</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014463" MajorTopicYN="N">Ultrasonography</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D034941" MajorTopicYN="N">Upper Extremity</DescriptorName><QualifierName UI="Q000473" MajorTopicYN="N">pathology</QualifierName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2015</Year><Month>11</Month><Day>18</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2015</Year><Month>11</Month><Day>18</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2016</Year><Month>12</Month><Day>15</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">26574872</ArticleId><ArticleId IdType="doi">10.1089/lrb.2015.0001</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Sante/explor/LymphedemaV1/Data/PubMed/Curation
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000B38 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/PubMed/Curation/biblio.hfd -nk 000B38 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Wicri/Sante
|area= LymphedemaV1
|flux= PubMed
|étape= Curation
|type= RBID
|clé= pubmed:26574872
|texte= Ultrasound and Clinical Measures for Lymphedema.
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/PubMed/Curation/RBID.i -Sk "pubmed:26574872" \
| HfdSelect -Kh $EXPLOR_AREA/Data/PubMed/Curation/biblio.hfd \
| NlmPubMed2Wicri -a LymphedemaV1
| This area was generated with Dilib version V0.6.31. |  |