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rdf:type |
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lifeskim:mentions |
umls-concept:C0002045,
umls-concept:C0031809,
umls-concept:C0034802,
umls-concept:C0086418,
umls-concept:C0204727,
umls-concept:C0205155,
umls-concept:C0205409,
umls-concept:C0205462,
umls-concept:C0392762,
umls-concept:C0596901,
umls-concept:C0936012,
umls-concept:C1441616,
umls-concept:C1510438,
umls-concept:C1522472,
umls-concept:C1551341,
umls-concept:C1552858,
umls-concept:C1552923,
umls-concept:C1552924,
umls-concept:C1704922,
umls-concept:C1705191,
umls-concept:C1883676
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pubmed:dateCreated |
2008-7-10
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pubmed:abstractText |
Breast cancers that overexpress the human epidermal growth factor receptor 2 (HER2) are eligible for effective biologically targeted therapies, such as trastuzumab. However, accurately determining HER2 overexpression, especially in immunohistochemically equivocal cases, remains a challenge. Manual analysis of HER2 expression is dependent on the assessment of membrane staining as well as comparisons with positive controls. In spite of the strides that have been made to standardize the assessment process, intra- and inter-observer discrepancies in scoring is not uncommon. In this manuscript we describe a pathologist assisted, computer-based continuous scoring approach for increasing the precision and reproducibility of assessing imaged breast tissue specimens.
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pubmed:grant |
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pubmed:commentsCorrections |
http://linkedlifedata.com/resource/pubmed/commentcorrection/18534031-11054438,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18534031-11352950,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18534031-11601134,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18534031-11688582,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18534031-12118023,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18534031-15151201,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18534031-15163011,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18534031-15217253,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18534031-15375542,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18534031-16430472,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18534031-16998320,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18534031-17159189,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18534031-17323351,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18534031-17412872,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18534031-3012781,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18534031-3203132,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18534031-3798106,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18534031-8104689,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18534031-9831867
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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:chemical |
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pubmed:status |
MEDLINE
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pubmed:issn |
1471-2342
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pubmed:author |
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pubmed:issnType |
Electronic
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pubmed:volume |
8
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
11
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pubmed:dateRevised |
2009-11-19
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pubmed:meshHeading |
pubmed-meshheading:18534031-Algorithms,
pubmed-meshheading:18534031-Breast Neoplasms,
pubmed-meshheading:18534031-Female,
pubmed-meshheading:18534031-Humans,
pubmed-meshheading:18534031-Image Interpretation, Computer-Assisted,
pubmed-meshheading:18534031-Immunohistochemistry,
pubmed-meshheading:18534031-Molecular Probe Techniques,
pubmed-meshheading:18534031-Neoplasm Proteins,
pubmed-meshheading:18534031-Receptor, erbB-2,
pubmed-meshheading:18534031-Reproducibility of Results,
pubmed-meshheading:18534031-Sensitivity and Specificity,
pubmed-meshheading:18534031-Tumor Markers, Biological
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pubmed:year |
2008
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pubmed:articleTitle |
Computer-assisted assessment of the human epidermal growth factor receptor 2 immunohistochemical assay in imaged histologic sections using a membrane isolation algorithm and quantitative analysis of positive controls.
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pubmed:affiliation |
Graduate School for the Biomedical Sciences, UMDNJ, 675 Hoes Lane, Piscataway, New Jersey, USA. huangbo@umdnj.edu
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pubmed:publicationType |
Journal Article,
Research Support, U.S. Gov't, Non-P.H.S.,
Research Support, N.I.H., Extramural
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