Validity of soft-tissue thickness of calf measured using MRI for assessing unilateral lower extremity lymphoedema secondary to cervical and endometrial cancer treatments.
Identifieur interne : 001176 ( PubMed/Checkpoint ); précédent : 001175; suivant : 001177Validity of soft-tissue thickness of calf measured using MRI for assessing unilateral lower extremity lymphoedema secondary to cervical and endometrial cancer treatments.
Auteurs : Qing Lu [République populaire de Chine] ; Yulai Li [République populaire de Chine] ; Tian-Wu Chen [République populaire de Chine] ; Yuan Yao [République populaire de Chine] ; Zizhou Zhao [République populaire de Chine] ; Yang Li [République populaire de Chine] ; Jianrong Xu [République populaire de Chine] ; Zhaohua Jiang [République populaire de Chine] ; Jiani Hu [États-Unis]Source :
- Clinical radiology [ 1365-229X ] ; 2014.
Descripteurs français
- KwdFr :
- Adulte d'âge moyen, Biais de l'observateur, Femelle, Humains, Imagerie par résonance magnétique (), Indice de gravité médicale, Jambe (anatomopathologie), Lymphoedème (), Lymphoedème (diagnostic), Poids et mesures du corps (), Poids et mesures du corps (normes), Reproductibilité des résultats, Traitement d'image par ordinateur (), Tumeurs de l'endomètre (), Tumeurs du col de l'utérus (), Études prospectives.
- MESH :
- anatomopathologie : Jambe.
- diagnostic : Lymphoedème.
- normes : Poids et mesures du corps.
- Adulte d'âge moyen, Biais de l'observateur, Femelle, Humains, Imagerie par résonance magnétique, Indice de gravité médicale, Lymphoedème, Poids et mesures du corps, Reproductibilité des résultats, Traitement d'image par ordinateur, Tumeurs de l'endomètre, Tumeurs du col de l'utérus, Études prospectives.
English descriptors
- KwdEn :
- Body Weights and Measures (methods), Body Weights and Measures (standards), Endometrial Neoplasms (complications), Endometrial Neoplasms (surgery), Female, Humans, Image Processing, Computer-Assisted (methods), Leg (pathology), Lymphedema (complications), Lymphedema (diagnosis), Magnetic Resonance Imaging (methods), Middle Aged, Observer Variation, Prospective Studies, Reproducibility of Results, Severity of Illness Index, Uterine Cervical Neoplasms (complications), Uterine Cervical Neoplasms (surgery).
- MESH :
- complications : Endometrial Neoplasms, Lymphedema, Uterine Cervical Neoplasms.
- diagnosis : Lymphedema.
- methods : Body Weights and Measures, Image Processing, Computer-Assisted, Magnetic Resonance Imaging.
- pathology : Leg.
- standards : Body Weights and Measures.
- surgery : Endometrial Neoplasms, Uterine Cervical Neoplasms.
- Female, Humans, Middle Aged, Observer Variation, Prospective Studies, Reproducibility of Results, Severity of Illness Index.
Abstract
To determine whether soft-tissue thickness of the calf measured using MRI could be valid for assessing unilateral lower extremity lymphoedema (LEL) secondary to cervical and endometrial cancer treatments.
DOI: 10.1016/j.crad.2014.08.011
PubMed: 25240563
Affiliations:
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Shanghai</wicri:regionArea><wicri:noRegion>Shanghai</wicri:noRegion></affiliation></author><author><name sortKey="Li, Yulai" sort="Li, Yulai" uniqKey="Li Y" first="Yulai" last="Li">Yulai Li</name><affiliation wicri:level="1"><nlm:affiliation>Department of Radiology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, 1630 Dongfang Rd, Shanghai, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Radiology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, 1630 Dongfang Rd, Shanghai</wicri:regionArea><wicri:noRegion>Shanghai</wicri:noRegion></affiliation></author><author><name sortKey="Chen, Tian Wu" sort="Chen, Tian Wu" uniqKey="Chen T" first="Tian-Wu" last="Chen">Tian-Wu Chen</name><affiliation wicri:level="1"><nlm:affiliation>Sichuan Key Laboratory of Medical Imaging, and Department of Radiology, Affiliated Hospital of North Sichuan Medical College, 63 Wenhua Road, Shunqing District, Nanchong, Sichuan, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Sichuan Key Laboratory of Medical Imaging, and Department of Radiology, Affiliated Hospital of North Sichuan Medical College, 63 Wenhua Road, Shunqing District, Nanchong, Sichuan</wicri:regionArea><wicri:noRegion>Sichuan</wicri:noRegion></affiliation></author><author><name sortKey="Yao, Yuan" sort="Yao, Yuan" uniqKey="Yao Y" first="Yuan" last="Yao">Yuan Yao</name><affiliation wicri:level="1"><nlm:affiliation>Department of Radiology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, 1630 Dongfang Rd, Shanghai, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Radiology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, 1630 Dongfang Rd, Shanghai</wicri:regionArea><wicri:noRegion>Shanghai</wicri:noRegion></affiliation></author><author><name sortKey="Zhao, Zizhou" sort="Zhao, Zizhou" uniqKey="Zhao Z" first="Zizhou" last="Zhao">Zizhou Zhao</name><affiliation wicri:level="1"><nlm:affiliation>Department of Radiology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, 1630 Dongfang Rd, Shanghai, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Radiology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, 1630 Dongfang Rd, Shanghai</wicri:regionArea><wicri:noRegion>Shanghai</wicri:noRegion></affiliation></author><author><name sortKey="Li, Yang" sort="Li, Yang" uniqKey="Li Y" first="Yang" last="Li">Yang Li</name><affiliation wicri:level="1"><nlm:affiliation>Department of Radiology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, 1630 Dongfang Rd, Shanghai, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Radiology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, 1630 Dongfang Rd, Shanghai</wicri:regionArea><wicri:noRegion>Shanghai</wicri:noRegion></affiliation></author><author><name sortKey="Xu, Jianrong" sort="Xu, Jianrong" uniqKey="Xu J" first="Jianrong" last="Xu">Jianrong Xu</name><affiliation wicri:level="1"><nlm:affiliation>Department of Radiology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, 1630 Dongfang Rd, Shanghai, China. Electronic address: xujianrong1634@163.com.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Radiology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, 1630 Dongfang Rd, Shanghai</wicri:regionArea><wicri:noRegion>Shanghai</wicri:noRegion></affiliation></author><author><name sortKey="Jiang, Zhaohua" sort="Jiang, Zhaohua" uniqKey="Jiang Z" first="Zhaohua" last="Jiang">Zhaohua Jiang</name><affiliation wicri:level="1"><nlm:affiliation>Department of Plastic & Reconstructive Surgery, Shanghai 9th People's Hospital, Shanghai Jiao Tong University School of Medicine, 639 Zhi Zao Ju Rd, Shanghai 200011, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Plastic & Reconstructive Surgery, Shanghai 9th People's Hospital, Shanghai Jiao Tong University School of Medicine, 639 Zhi Zao Ju Rd, Shanghai 200011</wicri:regionArea><wicri:noRegion>Shanghai 200011</wicri:noRegion></affiliation></author><author><name sortKey="Hu, Jiani" sort="Hu, Jiani" uniqKey="Hu J" first="Jiani" last="Hu">Jiani Hu</name><affiliation wicri:level="2"><nlm:affiliation>Department of Radiology, Wayne State University, 3990 John R Detroit, MI 48201, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Radiology, Wayne State University, 3990 John R Detroit, MI 48201</wicri:regionArea><placeName><region type="state">Michigan</region></placeName></affiliation></author></analytic><series><title level="j">Clinical radiology</title><idno type="eISSN">1365-229X</idno><imprint><date when="2014" type="published">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Body Weights and Measures (methods)</term><term>Body Weights and Measures (standards)</term><term>Endometrial Neoplasms (complications)</term><term>Endometrial Neoplasms (surgery)</term><term>Female</term><term>Humans</term><term>Image Processing, Computer-Assisted (methods)</term><term>Leg (pathology)</term><term>Lymphedema (complications)</term><term>Lymphedema (diagnosis)</term><term>Magnetic Resonance Imaging (methods)</term><term>Middle Aged</term><term>Observer Variation</term><term>Prospective Studies</term><term>Reproducibility of Results</term><term>Severity of Illness Index</term><term>Uterine Cervical Neoplasms (complications)</term><term>Uterine Cervical Neoplasms (surgery)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Adulte d'âge moyen</term><term>Biais de l'observateur</term><term>Femelle</term><term>Humains</term><term>Imagerie par résonance magnétique ()</term><term>Indice de gravité médicale</term><term>Jambe (anatomopathologie)</term><term>Lymphoedème ()</term><term>Lymphoedème (diagnostic)</term><term>Poids et mesures du corps ()</term><term>Poids et mesures du corps (normes)</term><term>Reproductibilité des résultats</term><term>Traitement d'image par ordinateur ()</term><term>Tumeurs de l'endomètre ()</term><term>Tumeurs du col de l'utérus ()</term><term>Études prospectives</term></keywords><keywords scheme="MESH" qualifier="anatomopathologie" xml:lang="fr"><term>Jambe</term></keywords><keywords scheme="MESH" qualifier="complications" xml:lang="en"><term>Endometrial Neoplasms</term><term>Lymphedema</term><term>Uterine Cervical Neoplasms</term></keywords><keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Lymphedema</term></keywords><keywords scheme="MESH" qualifier="diagnostic" xml:lang="fr"><term>Lymphoedème</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Body Weights and Measures</term><term>Image Processing, Computer-Assisted</term><term>Magnetic Resonance Imaging</term></keywords><keywords scheme="MESH" qualifier="normes" xml:lang="fr"><term>Poids et mesures du corps</term></keywords><keywords scheme="MESH" qualifier="pathology" xml:lang="en"><term>Leg</term></keywords><keywords scheme="MESH" qualifier="standards" xml:lang="en"><term>Body Weights and Measures</term></keywords><keywords scheme="MESH" qualifier="surgery" xml:lang="en"><term>Endometrial Neoplasms</term><term>Uterine Cervical Neoplasms</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Female</term><term>Humans</term><term>Middle Aged</term><term>Observer Variation</term><term>Prospective Studies</term><term>Reproducibility of Results</term><term>Severity of Illness Index</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adulte d'âge moyen</term><term>Biais de l'observateur</term><term>Femelle</term><term>Humains</term><term>Imagerie par résonance magnétique</term><term>Indice de gravité médicale</term><term>Lymphoedème</term><term>Poids et mesures du corps</term><term>Reproductibilité des résultats</term><term>Traitement d'image par ordinateur</term><term>Tumeurs de l'endomètre</term><term>Tumeurs du col de l'utérus</term><term>Études prospectives</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">To determine whether soft-tissue thickness of the calf measured using MRI could be valid for assessing unilateral lower extremity lymphoedema (LEL) secondary to cervical and endometrial cancer treatments.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">25240563</PMID><DateCreated><Year>2014</Year><Month>12</Month><Day>02</Day></DateCreated><DateCompleted><Year>2015</Year><Month>01</Month><Day>27</Day></DateCompleted><DateRevised><Year>2014</Year><Month>12</Month><Day>02</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1365-229X</ISSN><JournalIssue CitedMedium="Internet"><Volume>69</Volume><Issue>12</Issue><PubDate><Year>2014</Year><Month>Dec</Month></PubDate></JournalIssue><Title>Clinical radiology</Title><ISOAbbreviation>Clin Radiol</ISOAbbreviation></Journal><ArticleTitle>Validity of soft-tissue thickness of calf measured using MRI for assessing unilateral lower extremity lymphoedema secondary to cervical and endometrial cancer treatments.</ArticleTitle><Pagination><MedlinePgn>1287-94</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.crad.2014.08.011</ELocationID><ELocationID EIdType="pii" ValidYN="Y">S0009-9260(14)00403-6</ELocationID><Abstract><AbstractText Label="AIM" NlmCategory="OBJECTIVE">To determine whether soft-tissue thickness of the calf measured using MRI could be valid for assessing unilateral lower extremity lymphoedema (LEL) secondary to cervical and endometrial cancer treatments.</AbstractText><AbstractText Label="MATERIALS AND METHODS" NlmCategory="METHODS">Seventy women with unilateral LEL and 25 without LEL after cervical or endometrial cancer treatments underwent MRI examinations of their calves. Total thickness of soft-tissue (TT), muscle thickness (MT), and subcutaneous tissue thickness (STT) of the calf, and the difference between the affected and contralateral unaffected calf regarding TT (DTT), MT (DMT), and STT (DSTT) were obtained using fat-suppressed T2-weighted imaging in the middle of the calves. The volume of the calf and difference in volume (DV) between calves were obtained by the method of water displacement. Statistical analysis was performed to determine the validity of MRI measurements by volume measurements in staging LEL.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">There was a close correlation between volume and TT for the affected (r = 0.927) or unaffected calves (r = 0.896). STT of the affected calf, and DTT or DSTT of the calves were closely correlated with volume of the affected calf or DV of the calves (all p < 0.05). Multivariate analysis showed significant differences in TT, STT, volume of the affected calf, DTT, DSTT, and DV between stages except in volume of the affected calf or in DV between stage 0 and 1. For staging LEL, DSTT showed the best discrimination ability among all the parameters.</AbstractText><AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">Soft-tissue thickness of the calf measured at MRI could be valid for quantitatively staging unilateral LEL, and DSTT of the calves could be the best classifying factor.</AbstractText><CopyrightInformation>Copyright © 2014 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Lu</LastName><ForeName>Qing</ForeName><Initials>Q</Initials><AffiliationInfo><Affiliation>Department of Radiology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, 1630 Dongfang Rd, Shanghai, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Li</LastName><ForeName>Yulai</ForeName><Initials>Y</Initials><AffiliationInfo><Affiliation>Department of Radiology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, 1630 Dongfang Rd, Shanghai, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Chen</LastName><ForeName>Tian-Wu</ForeName><Initials>TW</Initials><AffiliationInfo><Affiliation>Sichuan Key Laboratory of Medical Imaging, and Department of Radiology, Affiliated Hospital of North Sichuan Medical College, 63 Wenhua Road, Shunqing District, Nanchong, Sichuan, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Yao</LastName><ForeName>Yuan</ForeName><Initials>Y</Initials><AffiliationInfo><Affiliation>Department of Radiology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, 1630 Dongfang Rd, Shanghai, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Zhao</LastName><ForeName>Zizhou</ForeName><Initials>Z</Initials><AffiliationInfo><Affiliation>Department of Radiology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, 1630 Dongfang Rd, Shanghai, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Li</LastName><ForeName>Yang</ForeName><Initials>Y</Initials><AffiliationInfo><Affiliation>Department of Radiology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, 1630 Dongfang Rd, Shanghai, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Xu</LastName><ForeName>Jianrong</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>Department of Radiology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, 1630 Dongfang Rd, Shanghai, China. Electronic address: xujianrong1634@163.com.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Jiang</LastName><ForeName>Zhaohua</ForeName><Initials>Z</Initials><AffiliationInfo><Affiliation>Department of Plastic & Reconstructive Surgery, Shanghai 9th People's Hospital, Shanghai Jiao Tong University School of Medicine, 639 Zhi Zao Ju Rd, Shanghai 200011, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Hu</LastName><ForeName>Jiani</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>Department of Radiology, Wayne State University, 3990 John R Detroit, MI 48201, USA.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType><PublicationType UI="D023361">Validation Studies</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2014</Year><Month>09</Month><Day>17</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Clin Radiol</MedlineTA><NlmUniqueID>1306016</NlmUniqueID><ISSNLinking>0009-9260</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D001837" MajorTopicYN="N">Body Weights and Measures</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="N">methods</QualifierName><QualifierName UI="Q000592" MajorTopicYN="Y">standards</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D016889" MajorTopicYN="N">Endometrial Neoplasms</DescriptorName><QualifierName UI="Q000150" MajorTopicYN="Y">complications</QualifierName><QualifierName UI="Q000601" MajorTopicYN="N">surgery</QualifierName></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><QualifierName UI="Q000379" MajorTopicYN="N">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D007866" MajorTopicYN="N">Leg</DescriptorName><QualifierName UI="Q000473" MajorTopicYN="Y">pathology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008209" MajorTopicYN="N">Lymphedema</DescriptorName><QualifierName UI="Q000150" MajorTopicYN="Y">complications</QualifierName><QualifierName UI="Q000175" MajorTopicYN="Y">diagnosis</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008279" MajorTopicYN="N">Magnetic Resonance Imaging</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015588" MajorTopicYN="N">Observer Variation</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011446" MajorTopicYN="N">Prospective Studies</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015203" MajorTopicYN="N">Reproducibility of Results</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012720" MajorTopicYN="N">Severity of Illness Index</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002583" MajorTopicYN="N">Uterine Cervical Neoplasms</DescriptorName><QualifierName UI="Q000150" MajorTopicYN="Y">complications</QualifierName><QualifierName UI="Q000601" MajorTopicYN="N">surgery</QualifierName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2013</Year><Month>09</Month><Day>19</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2014</Year><Month>08</Month><Day>06</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2014</Year><Month>08</Month><Day>13</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2014</Year><Month>9</Month><Day>22</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2014</Year><Month>9</Month><Day>23</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2015</Year><Month>1</Month><Day>28</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">25240563</ArticleId><ArticleId IdType="pii">S0009-9260(14)00403-6</ArticleId><ArticleId IdType="doi">10.1016/j.crad.2014.08.011</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>République populaire de Chine</li><li>États-Unis</li></country><region><li>Michigan</li></region></list><tree><country name="République populaire de Chine"><noRegion><name sortKey="Lu, Qing" sort="Lu, Qing" uniqKey="Lu Q" first="Qing" last="Lu">Qing Lu</name></noRegion><name sortKey="Chen, Tian Wu" sort="Chen, Tian Wu" uniqKey="Chen T" first="Tian-Wu" last="Chen">Tian-Wu Chen</name><name sortKey="Jiang, Zhaohua" sort="Jiang, Zhaohua" uniqKey="Jiang Z" first="Zhaohua" last="Jiang">Zhaohua Jiang</name><name sortKey="Li, Yang" sort="Li, Yang" uniqKey="Li Y" first="Yang" last="Li">Yang Li</name><name sortKey="Li, Yulai" sort="Li, Yulai" uniqKey="Li Y" first="Yulai" last="Li">Yulai Li</name><name sortKey="Xu, Jianrong" sort="Xu, Jianrong" uniqKey="Xu J" first="Jianrong" last="Xu">Jianrong Xu</name><name sortKey="Yao, Yuan" sort="Yao, Yuan" uniqKey="Yao Y" first="Yuan" last="Yao">Yuan Yao</name><name sortKey="Zhao, Zizhou" sort="Zhao, Zizhou" uniqKey="Zhao Z" first="Zizhou" last="Zhao">Zizhou Zhao</name></country><country name="États-Unis"><region name="Michigan"><name sortKey="Hu, Jiani" sort="Hu, Jiani" uniqKey="Hu J" first="Jiani" last="Hu">Jiani Hu</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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