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rdf:type |
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lifeskim:mentions |
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pubmed:issue |
3
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pubmed:dateCreated |
2010-11-8
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pubmed:abstractText |
Using parameters obtained from magnetic resonance imaging (MRI), we constructed a prediction model for parametrial invasion (PMI) of cervical cancer and validated the model in different sets of patients.
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pubmed:language |
eng
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pubmed:journal |
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pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:month |
Dec
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pubmed:issn |
1095-6859
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pubmed:author |
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pubmed:copyrightInfo |
Copyright © 2010 Elsevier Inc. All rights reserved.
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pubmed:issnType |
Electronic
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pubmed:volume |
119
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
426-30
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pubmed:meshHeading |
pubmed-meshheading:20822804-Adult,
pubmed-meshheading:20822804-Aged,
pubmed-meshheading:20822804-Aged, 80 and over,
pubmed-meshheading:20822804-Female,
pubmed-meshheading:20822804-Humans,
pubmed-meshheading:20822804-Logistic Models,
pubmed-meshheading:20822804-Magnetic Resonance Imaging,
pubmed-meshheading:20822804-Middle Aged,
pubmed-meshheading:20822804-Models, Biological,
pubmed-meshheading:20822804-Multivariate Analysis,
pubmed-meshheading:20822804-Neoplasm Invasiveness,
pubmed-meshheading:20822804-Neoplasm Staging,
pubmed-meshheading:20822804-Predictive Value of Tests,
pubmed-meshheading:20822804-Risk Factors,
pubmed-meshheading:20822804-Uterine Cervical Neoplasms
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pubmed:year |
2010
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pubmed:articleTitle |
Identification of a patient group at low risk for parametrial invasion in early-stage cervical cancer.
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pubmed:affiliation |
Research Institute and Hospital, National Cancer Center, Goyang, Republic of Korea.
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pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't
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