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rdf:type |
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lifeskim:mentions |
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pubmed:issue |
2
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pubmed:dateCreated |
2005-11-1
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pubmed:abstractText |
Estimating an individual woman's absolute risk for breast cancer is essential for decision making about screening and preventive recommendations. Although the current standard, the Gail model, is well calibrated in populations, it performs poorly for individuals. Mammographic breast density (BD) may improve the predictive accuracy of the Gail model.
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pubmed:grant |
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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 |
Nov
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pubmed:issn |
0167-6806
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pubmed:author |
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pubmed:issnType |
Print
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pubmed:volume |
94
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
115-22
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pubmed:dateRevised |
2007-12-3
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pubmed:meshHeading |
pubmed-meshheading:16261410-Adult,
pubmed-meshheading:16261410-Aged,
pubmed-meshheading:16261410-Breast,
pubmed-meshheading:16261410-Breast Neoplasms,
pubmed-meshheading:16261410-California,
pubmed-meshheading:16261410-Female,
pubmed-meshheading:16261410-Humans,
pubmed-meshheading:16261410-Mammography,
pubmed-meshheading:16261410-Mass Screening,
pubmed-meshheading:16261410-Middle Aged,
pubmed-meshheading:16261410-Models, Statistical,
pubmed-meshheading:16261410-Predictive Value of Tests,
pubmed-meshheading:16261410-Registries,
pubmed-meshheading:16261410-Risk Factors,
pubmed-meshheading:16261410-SEER Program,
pubmed-meshheading:16261410-Sensitivity and Specificity
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pubmed:year |
2005
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pubmed:articleTitle |
Mammographic breast density and the Gail model for breast cancer risk prediction in a screening population.
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pubmed:affiliation |
Division of General Internal Medicine, Department of Medicine, University of California, San Francisco, CA 94143-1732, USA. jtice@medicine.ucsf.edu
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pubmed:publicationType |
Journal Article,
Evaluation Studies,
Research Support, N.I.H., Extramural
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