Prediction of early response to uterine artery embolization in fibroids: value of MR signal intensity ratio.
Identifieur interne : 000879 ( PubMed/Corpus ); précédent : 000878; suivant : 000880Prediction of early response to uterine artery embolization in fibroids: value of MR signal intensity ratio.
Auteurs : Yoshifumi Noda ; Masayuki Kanematsu ; Satoshi Goshima ; Hiroshi Kondo ; Haruo Watanabe ; Hiroshi Kawada ; Nobuyuki Kawai ; Yukichi Tanahashi ; Kyongtae T. BaeSource :
- Magnetic resonance imaging [ 1873-5894 ] ; 2015.
English descriptors
- KwdEn :
- Adult, Area Under Curve, Female, Humans, Image Processing, Computer-Assisted, Leiomyoma (pathology), Leiomyoma (therapy), Magnetic Resonance Imaging, Middle Aged, Pattern Recognition, Automated, ROC Curve, Retrospective Studies, Signal Processing, Computer-Assisted, Treatment Outcome, Uterine Artery Embolization.
- MESH :
- pathology : Leiomyoma.
- therapy : Leiomyoma.
- Adult, Area Under Curve, Female, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Middle Aged, Pattern Recognition, Automated, ROC Curve, Retrospective Studies, Signal Processing, Computer-Assisted, Treatment Outcome, Uterine Artery Embolization.
Abstract
To quantitatively assess magnetic resonance (MR) imaging findings that help predict early post-therapeutic response in fibroids following uterine artery embolization (UAE).
DOI: 10.1016/j.mri.2014.09.006
PubMed: 25271135
Links to Exploration step
pubmed:25271135Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Prediction of early response to uterine artery embolization in fibroids: value of MR signal intensity ratio.</title><author><name sortKey="Noda, Yoshifumi" sort="Noda, Yoshifumi" uniqKey="Noda Y" first="Yoshifumi" last="Noda">Yoshifumi Noda</name><affiliation><nlm:affiliation>Department of Radiology, Gifu University Hospital, 1-1 Yanagido, Gifu 501-1194, Japan.</nlm:affiliation></affiliation></author><author><name sortKey="Kanematsu, Masayuki" sort="Kanematsu, Masayuki" uniqKey="Kanematsu M" first="Masayuki" last="Kanematsu">Masayuki Kanematsu</name><affiliation><nlm:affiliation>Department of Radiology, Gifu University Hospital, 1-1 Yanagido, Gifu 501-1194, Japan; Department of Radiology Services, Gifu University Hospital, 1-1 Yanagido, Gifu 501-1194, Japan. Electronic address: masa_gif@yahoo.co.jp.</nlm:affiliation></affiliation></author><author><name sortKey="Goshima, Satoshi" sort="Goshima, Satoshi" uniqKey="Goshima S" first="Satoshi" last="Goshima">Satoshi Goshima</name><affiliation><nlm:affiliation>Department of Radiology, Gifu University Hospital, 1-1 Yanagido, Gifu 501-1194, Japan.</nlm:affiliation></affiliation></author><author><name sortKey="Kondo, Hiroshi" sort="Kondo, Hiroshi" uniqKey="Kondo H" first="Hiroshi" last="Kondo">Hiroshi Kondo</name><affiliation><nlm:affiliation>Department of Radiology, Gifu University Hospital, 1-1 Yanagido, Gifu 501-1194, Japan.</nlm:affiliation></affiliation></author><author><name sortKey="Watanabe, Haruo" sort="Watanabe, Haruo" uniqKey="Watanabe H" first="Haruo" last="Watanabe">Haruo Watanabe</name><affiliation><nlm:affiliation>Department of Radiology, Gifu University Hospital, 1-1 Yanagido, Gifu 501-1194, Japan.</nlm:affiliation></affiliation></author><author><name sortKey="Kawada, Hiroshi" sort="Kawada, Hiroshi" uniqKey="Kawada H" first="Hiroshi" last="Kawada">Hiroshi Kawada</name><affiliation><nlm:affiliation>Department of Radiology, Gifu University Hospital, 1-1 Yanagido, Gifu 501-1194, Japan.</nlm:affiliation></affiliation></author><author><name sortKey="Kawai, Nobuyuki" sort="Kawai, Nobuyuki" uniqKey="Kawai N" first="Nobuyuki" last="Kawai">Nobuyuki Kawai</name><affiliation><nlm:affiliation>Department of Radiology, Gifu University Hospital, 1-1 Yanagido, Gifu 501-1194, Japan.</nlm:affiliation></affiliation></author><author><name sortKey="Tanahashi, Yukichi" sort="Tanahashi, Yukichi" uniqKey="Tanahashi Y" first="Yukichi" last="Tanahashi">Yukichi Tanahashi</name><affiliation><nlm:affiliation>Department of Radiology, Gifu University Hospital, 1-1 Yanagido, Gifu 501-1194, Japan.</nlm:affiliation></affiliation></author><author><name sortKey="Bae, Kyongtae T" sort="Bae, Kyongtae T" uniqKey="Bae K" first="Kyongtae T" last="Bae">Kyongtae T. Bae</name><affiliation><nlm:affiliation>Department of Radiology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.</nlm:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2015">2015</date><idno type="RBID">pubmed:25271135</idno><idno type="pmid">25271135</idno><idno type="doi">10.1016/j.mri.2014.09.006</idno><idno type="wicri:Area/PubMed/Corpus">000879</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000879</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Prediction of early response to uterine artery embolization in fibroids: value of MR signal intensity ratio.</title><author><name sortKey="Noda, Yoshifumi" sort="Noda, Yoshifumi" uniqKey="Noda Y" first="Yoshifumi" last="Noda">Yoshifumi Noda</name><affiliation><nlm:affiliation>Department of Radiology, Gifu University Hospital, 1-1 Yanagido, Gifu 501-1194, Japan.</nlm:affiliation></affiliation></author><author><name sortKey="Kanematsu, Masayuki" sort="Kanematsu, Masayuki" uniqKey="Kanematsu M" first="Masayuki" last="Kanematsu">Masayuki Kanematsu</name><affiliation><nlm:affiliation>Department of Radiology, Gifu University Hospital, 1-1 Yanagido, Gifu 501-1194, Japan; Department of Radiology Services, Gifu University Hospital, 1-1 Yanagido, Gifu 501-1194, Japan. Electronic address: masa_gif@yahoo.co.jp.</nlm:affiliation></affiliation></author><author><name sortKey="Goshima, Satoshi" sort="Goshima, Satoshi" uniqKey="Goshima S" first="Satoshi" last="Goshima">Satoshi Goshima</name><affiliation><nlm:affiliation>Department of Radiology, Gifu University Hospital, 1-1 Yanagido, Gifu 501-1194, Japan.</nlm:affiliation></affiliation></author><author><name sortKey="Kondo, Hiroshi" sort="Kondo, Hiroshi" uniqKey="Kondo H" first="Hiroshi" last="Kondo">Hiroshi Kondo</name><affiliation><nlm:affiliation>Department of Radiology, Gifu University Hospital, 1-1 Yanagido, Gifu 501-1194, Japan.</nlm:affiliation></affiliation></author><author><name sortKey="Watanabe, Haruo" sort="Watanabe, Haruo" uniqKey="Watanabe H" first="Haruo" last="Watanabe">Haruo Watanabe</name><affiliation><nlm:affiliation>Department of Radiology, Gifu University Hospital, 1-1 Yanagido, Gifu 501-1194, Japan.</nlm:affiliation></affiliation></author><author><name sortKey="Kawada, Hiroshi" sort="Kawada, Hiroshi" uniqKey="Kawada H" first="Hiroshi" last="Kawada">Hiroshi Kawada</name><affiliation><nlm:affiliation>Department of Radiology, Gifu University Hospital, 1-1 Yanagido, Gifu 501-1194, Japan.</nlm:affiliation></affiliation></author><author><name sortKey="Kawai, Nobuyuki" sort="Kawai, Nobuyuki" uniqKey="Kawai N" first="Nobuyuki" last="Kawai">Nobuyuki Kawai</name><affiliation><nlm:affiliation>Department of Radiology, Gifu University Hospital, 1-1 Yanagido, Gifu 501-1194, Japan.</nlm:affiliation></affiliation></author><author><name sortKey="Tanahashi, Yukichi" sort="Tanahashi, Yukichi" uniqKey="Tanahashi Y" first="Yukichi" last="Tanahashi">Yukichi Tanahashi</name><affiliation><nlm:affiliation>Department of Radiology, Gifu University Hospital, 1-1 Yanagido, Gifu 501-1194, Japan.</nlm:affiliation></affiliation></author><author><name sortKey="Bae, Kyongtae T" sort="Bae, Kyongtae T" uniqKey="Bae K" first="Kyongtae T" last="Bae">Kyongtae T. Bae</name><affiliation><nlm:affiliation>Department of Radiology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.</nlm:affiliation></affiliation></author></analytic><series><title level="j">Magnetic resonance imaging</title><idno type="eISSN">1873-5894</idno><imprint><date when="2015" type="published">2015</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adult</term><term>Area Under Curve</term><term>Female</term><term>Humans</term><term>Image Processing, Computer-Assisted</term><term>Leiomyoma (pathology)</term><term>Leiomyoma (therapy)</term><term>Magnetic Resonance Imaging</term><term>Middle Aged</term><term>Pattern Recognition, Automated</term><term>ROC Curve</term><term>Retrospective Studies</term><term>Signal Processing, Computer-Assisted</term><term>Treatment Outcome</term><term>Uterine Artery Embolization</term></keywords><keywords scheme="MESH" qualifier="pathology" xml:lang="en"><term>Leiomyoma</term></keywords><keywords scheme="MESH" qualifier="therapy" xml:lang="en"><term>Leiomyoma</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adult</term><term>Area Under Curve</term><term>Female</term><term>Humans</term><term>Image Processing, Computer-Assisted</term><term>Magnetic Resonance Imaging</term><term>Middle Aged</term><term>Pattern Recognition, Automated</term><term>ROC Curve</term><term>Retrospective Studies</term><term>Signal Processing, Computer-Assisted</term><term>Treatment Outcome</term><term>Uterine Artery Embolization</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">To quantitatively assess magnetic resonance (MR) imaging findings that help predict early post-therapeutic response in fibroids following uterine artery embolization (UAE).</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">25271135</PMID><DateCreated><Year>2014</Year><Month>12</Month><Day>16</Day></DateCreated><DateCompleted><Year>2015</Year><Month>08</Month><Day>31</Day></DateCompleted><DateRevised><Year>2014</Year><Month>12</Month><Day>16</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1873-5894</ISSN><JournalIssue CitedMedium="Internet"><Volume>33</Volume><Issue>1</Issue><PubDate><Year>2015</Year><Month>Jan</Month></PubDate></JournalIssue><Title>Magnetic resonance imaging</Title><ISOAbbreviation>Magn Reson Imaging</ISOAbbreviation></Journal><ArticleTitle>Prediction of early response to uterine artery embolization in fibroids: value of MR signal intensity ratio.</ArticleTitle><Pagination><MedlinePgn>51-5</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.mri.2014.09.006</ELocationID><ELocationID EIdType="pii" ValidYN="Y">S0730-725X(14)00294-X</ELocationID><Abstract><AbstractText Label="OBJECTIVE" NlmCategory="OBJECTIVE">To quantitatively assess magnetic resonance (MR) imaging findings that help predict early post-therapeutic response in fibroids following uterine artery embolization (UAE).</AbstractText><AbstractText Label="METHODS" NlmCategory="METHODS">Fifteen patients with a total of 52 fibroids underwent UAE. The signal intensity ratio (SIR) on T1-, T2-, diffusion weighted and gadolinium-enhanced images was calculated by dividing the mean signal intensity of fibroids by that of the abdominal rectus muscle. Fibroids were divided into the two groups: affected (post-UAE volume reduction rate>median of all fibroids) and unaffected (</AbstractText> <AbstractText Label="RESULTS" NlmCategory="RESULTS">The SIRs of the affected group were significantly lower on T1-weighted images (0.85±0.1 vs 0.95±0.2) (P=0.0001), but higher on T2-weighted (1.30±0.6 vs 1.12±0.9) (P=0.026) and gadolinium-enhanced images (1.51±0.2 vs 1.20±0.4) (P=0.0002) than those of the unaffected group. There was no significant difference in ADC values between the two groups (P=0.510). The sensitivity, specificity, and area under the ROC curve (AUC) in the prediction of the affected lesions were 92%, 50%, and 0.712 with SIR on T1-weighted images, and 85%, 62%, and 0.731 with SIR on gadolinium-enhanced images, respectively.</AbstractText><AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">The SIRs on T1-weighted images and gadolinium-enhanced images were useful for the prediction of the changes in size of fibroids responding to UAE.</AbstractText><CopyrightInformation>Copyright © 2014 Elsevier Inc. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Noda</LastName><ForeName>Yoshifumi</ForeName><Initials>Y</Initials><AffiliationInfo><Affiliation>Department of Radiology, Gifu University Hospital, 1-1 Yanagido, Gifu 501-1194, Japan.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Kanematsu</LastName><ForeName>Masayuki</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>Department of Radiology, Gifu University Hospital, 1-1 Yanagido, Gifu 501-1194, Japan; Department of Radiology Services, Gifu University Hospital, 1-1 Yanagido, Gifu 501-1194, Japan. Electronic address: masa_gif@yahoo.co.jp.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Goshima</LastName><ForeName>Satoshi</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>Department of Radiology, Gifu University Hospital, 1-1 Yanagido, Gifu 501-1194, Japan.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Kondo</LastName><ForeName>Hiroshi</ForeName><Initials>H</Initials><AffiliationInfo><Affiliation>Department of Radiology, Gifu University Hospital, 1-1 Yanagido, Gifu 501-1194, Japan.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Watanabe</LastName><ForeName>Haruo</ForeName><Initials>H</Initials><AffiliationInfo><Affiliation>Department of Radiology, Gifu University Hospital, 1-1 Yanagido, Gifu 501-1194, Japan.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Kawada</LastName><ForeName>Hiroshi</ForeName><Initials>H</Initials><AffiliationInfo><Affiliation>Department of Radiology, Gifu University Hospital, 1-1 Yanagido, Gifu 501-1194, Japan.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Kawai</LastName><ForeName>Nobuyuki</ForeName><Initials>N</Initials><AffiliationInfo><Affiliation>Department of Radiology, Gifu University Hospital, 1-1 Yanagido, Gifu 501-1194, Japan.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Tanahashi</LastName><ForeName>Yukichi</ForeName><Initials>Y</Initials><AffiliationInfo><Affiliation>Department of Radiology, Gifu University Hospital, 1-1 Yanagido, Gifu 501-1194, Japan.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Bae</LastName><ForeName>Kyongtae T</ForeName><Initials>KT</Initials><AffiliationInfo><Affiliation>Department of Radiology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2014</Year><Month>09</Month><Day>28</Day></ArticleDate></Article><MedlineJournalInfo><Country>Netherlands</Country><MedlineTA>Magn Reson Imaging</MedlineTA><NlmUniqueID>8214883</NlmUniqueID><ISSNLinking>0730-725X</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D019540" MajorTopicYN="N">Area Under Curve</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007091" MajorTopicYN="N">Image Processing, Computer-Assisted</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007889" MajorTopicYN="N">Leiomyoma</DescriptorName><QualifierName UI="Q000473" MajorTopicYN="Y">pathology</QualifierName><QualifierName UI="Q000628" MajorTopicYN="Y">therapy</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008279" MajorTopicYN="Y">Magnetic Resonance Imaging</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D010363" MajorTopicYN="N">Pattern Recognition, Automated</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012372" MajorTopicYN="N">ROC Curve</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012189" MajorTopicYN="N">Retrospective Studies</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012815" MajorTopicYN="N">Signal Processing, Computer-Assisted</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D016896" MajorTopicYN="N">Treatment Outcome</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D055357" MajorTopicYN="Y">Uterine Artery Embolization</DescriptorName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Magnetic resonance imaging</Keyword><Keyword MajorTopicYN="N">Signal intensity ratio</Keyword><Keyword MajorTopicYN="N">Uterine artery embolization</Keyword><Keyword MajorTopicYN="N">Uterine fibroid</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2014</Year><Month>05</Month><Day>12</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2014</Year><Month>08</Month><Day>28</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2014</Year><Month>09</Month><Day>22</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2014</Year><Month>10</Month><Day>2</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2014</Year><Month>10</Month><Day>2</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2015</Year><Month>9</Month><Day>1</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">25271135</ArticleId><ArticleId IdType="pii">S0730-725X(14)00294-X</ArticleId><ArticleId IdType="doi">10.1016/j.mri.2014.09.006</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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