Image analysis as an adjunct to manual HER-2 immunohistochemical review: a diagnostic tool to standardize interpretation.

Hdl Handle:
http://hdl.handle.net/10147/115665
Title:
Image analysis as an adjunct to manual HER-2 immunohistochemical review: a diagnostic tool to standardize interpretation.
Authors:
Dobson, Lynne; Conway, Catherine; Hanley, Alan; Johnson, Alex; Costello, Sean; O'Grady, Anthony; Connolly, Yvonne; Magee, Hilary; O'Shea, Daniel; Jeffers, Michael; Kay, Elaine
Affiliation:
SlidePath Ltd., Swift Square, Northwood Business Park, Santry, Dublin 9, Ireland. lynne.dobson@slidepath.com
Citation:
Image analysis as an adjunct to manual HER-2 immunohistochemical review: a diagnostic tool to standardize interpretation. 2010, 57 (1):27-38 Histopathology
Journal:
Histopathology
Issue Date:
Jul-2010
URI:
http://hdl.handle.net/10147/115665
DOI:
10.1111/j.1365-2559.2010.03577.x
PubMed ID:
20584089
Abstract:
AIMS: Accurate determination of HER-2 status is critical to identify patients for whom trastuzumab treatment will be of benefit. Although the recommended primary method of evaluation is immunohistochemistry, numerous reports of variability in interpretation have raised uncertainty about the reliability of results. Recent guidelines have suggested that image analysis could be an effective tool for achieving consistent interpretation, and this study aimed to assess whether this technology has potential as a diagnostic support tool. METHODS AND RESULTS: Across a cohort of 275 cases, image analysis could accurately classify HER-2 status, with 91% agreement between computer-aided classification and the pathology review. Assessment of the continuity of membranous immunoreactivity in addition to intensity of reactivity was critical to distinguish between negative and equivocal cases and enabled image analysis to report a lower referral rate of cases for confirmatory fluorescence in situ hybridization (FISH) testing. An excellent concordance rate of 95% was observed between FISH and the automated review across 136 informative cases. CONCLUSIONS: This study has validated that image analysis can robustly and accurately evaluate HER-2 status in immunohistochemically stained tissue. Based on these findings, image analysis has great potential as a diagnostic support tool for pathologists and biomedical scientists, and may significantly improve the standardization of HER-2 testing by providing a quantitative reference method for interpretation.
Item Type:
Article
Language:
en
Keywords:
BREAST CANCER; IMMUNE SYSTEM
MeSH:
Algorithms; Antibodies, Monoclonal; Antineoplastic Agents; Breast Neoplasms; Cohort Studies; Diagnosis, Computer-Assisted; Female; Genes, erbB-2; Humans; Image Processing, Computer-Assisted; Immunohistochemistry; In Situ Hybridization, Fluorescence; Receptor, erbB-2; Tumor Markers, Biological
ISSN:
1365-2559

Full metadata record

DC FieldValue Language
dc.contributor.authorDobson, Lynneen
dc.contributor.authorConway, Catherineen
dc.contributor.authorHanley, Alanen
dc.contributor.authorJohnson, Alexen
dc.contributor.authorCostello, Seanen
dc.contributor.authorO'Grady, Anthonyen
dc.contributor.authorConnolly, Yvonneen
dc.contributor.authorMagee, Hilaryen
dc.contributor.authorO'Shea, Danielen
dc.contributor.authorJeffers, Michaelen
dc.contributor.authorKay, Elaineen
dc.date.accessioned2010-11-16T11:22:22Z-
dc.date.available2010-11-16T11:22:22Z-
dc.date.issued2010-07-
dc.identifier.citationImage analysis as an adjunct to manual HER-2 immunohistochemical review: a diagnostic tool to standardize interpretation. 2010, 57 (1):27-38 Histopathologyen
dc.identifier.issn1365-2559-
dc.identifier.pmid20584089-
dc.identifier.doi10.1111/j.1365-2559.2010.03577.x-
dc.identifier.urihttp://hdl.handle.net/10147/115665-
dc.description.abstractAIMS: Accurate determination of HER-2 status is critical to identify patients for whom trastuzumab treatment will be of benefit. Although the recommended primary method of evaluation is immunohistochemistry, numerous reports of variability in interpretation have raised uncertainty about the reliability of results. Recent guidelines have suggested that image analysis could be an effective tool for achieving consistent interpretation, and this study aimed to assess whether this technology has potential as a diagnostic support tool. METHODS AND RESULTS: Across a cohort of 275 cases, image analysis could accurately classify HER-2 status, with 91% agreement between computer-aided classification and the pathology review. Assessment of the continuity of membranous immunoreactivity in addition to intensity of reactivity was critical to distinguish between negative and equivocal cases and enabled image analysis to report a lower referral rate of cases for confirmatory fluorescence in situ hybridization (FISH) testing. An excellent concordance rate of 95% was observed between FISH and the automated review across 136 informative cases. CONCLUSIONS: This study has validated that image analysis can robustly and accurately evaluate HER-2 status in immunohistochemically stained tissue. Based on these findings, image analysis has great potential as a diagnostic support tool for pathologists and biomedical scientists, and may significantly improve the standardization of HER-2 testing by providing a quantitative reference method for interpretation.-
dc.language.isoenen
dc.subjectBREAST CANCERen
dc.subjectIMMUNE SYSTEMen
dc.subject.meshAlgorithms-
dc.subject.meshAntibodies, Monoclonal-
dc.subject.meshAntineoplastic Agents-
dc.subject.meshBreast Neoplasms-
dc.subject.meshCohort Studies-
dc.subject.meshDiagnosis, Computer-Assisted-
dc.subject.meshFemale-
dc.subject.meshGenes, erbB-2-
dc.subject.meshHumans-
dc.subject.meshImage Processing, Computer-Assisted-
dc.subject.meshImmunohistochemistry-
dc.subject.meshIn Situ Hybridization, Fluorescence-
dc.subject.meshReceptor, erbB-2-
dc.subject.meshTumor Markers, Biological-
dc.titleImage analysis as an adjunct to manual HER-2 immunohistochemical review: a diagnostic tool to standardize interpretation.en
dc.typeArticleen
dc.contributor.departmentSlidePath Ltd., Swift Square, Northwood Business Park, Santry, Dublin 9, Ireland. lynne.dobson@slidepath.comen
dc.identifier.journalHistopathologyen

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