Image analysis as an adjunct to manual HER-2 immunohistochemical review: a diagnostic tool to standardize interpretation
Dobson L, Conway C, Hanley A, Johnson A, Costello S, O’Grady A, Connolly Y, Magee H, O’Shea D, Jeffers M & Kay E (2010) Histopathology 57, 27–38 Image analysis as an adjunct to manual HER‐2 immunohistochemical review: a diagnostic tool to standardize interpretation Aims: Accurate determination...
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| Veröffentlicht in: | Histopathology 2010-07, Vol.57 (1), p.27-38 |
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| creator | Dobson, Lynne Conway, Catherine Hanley, Alan Johnson, Alex Costello, Sean O'Grady, Anthony Connolly, Yvonne Magee, Hilary O'Shea, Daniel Jeffers, Michael Kay, Elaine |
| description | Dobson L, Conway C, Hanley A, Johnson A, Costello S, O’Grady A, Connolly Y, Magee H, O’Shea D, Jeffers M & Kay E
(2010) Histopathology 57, 27–38
Image analysis as an adjunct to manual HER‐2 immunohistochemical review: a diagnostic tool to standardize interpretation
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. |
| doi_str_mv | 10.1111/j.1365-2559.2010.03577.x |
| format | Article |
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(2010) Histopathology 57, 27–38
Image analysis as an adjunct to manual HER‐2 immunohistochemical review: a diagnostic tool to standardize interpretation
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.</description><identifier>ISSN: 0309-0167</identifier><identifier>EISSN: 1365-2559</identifier><identifier>DOI: 10.1111/j.1365-2559.2010.03577.x</identifier><identifier>PMID: 20584089</identifier><language>eng</language><publisher>Oxford, UK: Blackwell Publishing Ltd</publisher><subject>Algorithms ; Antibodies, Monoclonal - therapeutic use ; Antibodies, Monoclonal, Humanized ; Antineoplastic Agents - therapeutic use ; Biological and medical sciences ; Biomarkers, Tumor - analysis ; Breast Neoplasms - chemistry ; Breast Neoplasms - diagnosis ; Breast Neoplasms - drug therapy ; Breast Neoplasms - genetics ; Cohort Studies ; Diagnosis, Computer-Assisted ; Female ; fluorescence in situ hybridization ; Genes, erbB-2 ; HER-2 ; Humans ; image analysis ; Image Processing, Computer-Assisted - methods ; Image Processing, Computer-Assisted - standards ; immunohistochemistry ; Immunohistochemistry - methods ; In Situ Hybridization, Fluorescence ; Investigative techniques, diagnostic techniques (general aspects) ; Medical sciences ; Original ; Pathology. Cytology. Biochemistry. Spectrometry. Miscellaneous investigative techniques ; Receptor, ErbB-2 - analysis ; Trastuzumab ; virtual slides</subject><ispartof>Histopathology, 2010-07, Vol.57 (1), p.27-38</ispartof><rights>2010 Blackwell Publishing Limited</rights><rights>2015 INIST-CNRS</rights><rights>Journal compilation © 2010 Blackwell Publishing Ltd</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5417-fece2ff64e07e1011d0f2e6b35e6c65bcb4b05423f0f16816f012ba901d84b043</citedby><cites>FETCH-LOGICAL-c5417-fece2ff64e07e1011d0f2e6b35e6c65bcb4b05423f0f16816f012ba901d84b043</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fj.1365-2559.2010.03577.x$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fj.1365-2559.2010.03577.x$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,885,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=23004615$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/20584089$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Dobson, Lynne</creatorcontrib><creatorcontrib>Conway, Catherine</creatorcontrib><creatorcontrib>Hanley, Alan</creatorcontrib><creatorcontrib>Johnson, Alex</creatorcontrib><creatorcontrib>Costello, Sean</creatorcontrib><creatorcontrib>O'Grady, Anthony</creatorcontrib><creatorcontrib>Connolly, Yvonne</creatorcontrib><creatorcontrib>Magee, Hilary</creatorcontrib><creatorcontrib>O'Shea, Daniel</creatorcontrib><creatorcontrib>Jeffers, Michael</creatorcontrib><creatorcontrib>Kay, Elaine</creatorcontrib><title>Image analysis as an adjunct to manual HER-2 immunohistochemical review: a diagnostic tool to standardize interpretation</title><title>Histopathology</title><addtitle>Histopathology</addtitle><description>Dobson L, Conway C, Hanley A, Johnson A, Costello S, O’Grady A, Connolly Y, Magee H, O’Shea D, Jeffers M & Kay E
(2010) Histopathology 57, 27–38
Image analysis as an adjunct to manual HER‐2 immunohistochemical review: a diagnostic tool to standardize interpretation
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.</description><subject>Algorithms</subject><subject>Antibodies, Monoclonal - therapeutic use</subject><subject>Antibodies, Monoclonal, Humanized</subject><subject>Antineoplastic Agents - therapeutic use</subject><subject>Biological and medical sciences</subject><subject>Biomarkers, Tumor - analysis</subject><subject>Breast Neoplasms - chemistry</subject><subject>Breast Neoplasms - diagnosis</subject><subject>Breast Neoplasms - drug therapy</subject><subject>Breast Neoplasms - genetics</subject><subject>Cohort Studies</subject><subject>Diagnosis, Computer-Assisted</subject><subject>Female</subject><subject>fluorescence in situ hybridization</subject><subject>Genes, erbB-2</subject><subject>HER-2</subject><subject>Humans</subject><subject>image analysis</subject><subject>Image Processing, Computer-Assisted - methods</subject><subject>Image Processing, Computer-Assisted - standards</subject><subject>immunohistochemistry</subject><subject>Immunohistochemistry - methods</subject><subject>In Situ Hybridization, Fluorescence</subject><subject>Investigative techniques, diagnostic techniques (general aspects)</subject><subject>Medical sciences</subject><subject>Original</subject><subject>Pathology. Cytology. Biochemistry. Spectrometry. 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Cytology. Biochemistry. Spectrometry. Miscellaneous investigative techniques</topic><topic>Receptor, ErbB-2 - analysis</topic><topic>Trastuzumab</topic><topic>virtual slides</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dobson, Lynne</creatorcontrib><creatorcontrib>Conway, Catherine</creatorcontrib><creatorcontrib>Hanley, Alan</creatorcontrib><creatorcontrib>Johnson, Alex</creatorcontrib><creatorcontrib>Costello, Sean</creatorcontrib><creatorcontrib>O'Grady, Anthony</creatorcontrib><creatorcontrib>Connolly, Yvonne</creatorcontrib><creatorcontrib>Magee, Hilary</creatorcontrib><creatorcontrib>O'Shea, Daniel</creatorcontrib><creatorcontrib>Jeffers, Michael</creatorcontrib><creatorcontrib>Kay, Elaine</creatorcontrib><collection>Istex</collection><collection>Wiley-Blackwell Open Access Titles</collection><collection>Wiley Free Content</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Histopathology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dobson, Lynne</au><au>Conway, Catherine</au><au>Hanley, Alan</au><au>Johnson, Alex</au><au>Costello, Sean</au><au>O'Grady, Anthony</au><au>Connolly, Yvonne</au><au>Magee, Hilary</au><au>O'Shea, Daniel</au><au>Jeffers, Michael</au><au>Kay, Elaine</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Image analysis as an adjunct to manual HER-2 immunohistochemical review: a diagnostic tool to standardize interpretation</atitle><jtitle>Histopathology</jtitle><addtitle>Histopathology</addtitle><date>2010-07</date><risdate>2010</risdate><volume>57</volume><issue>1</issue><spage>27</spage><epage>38</epage><pages>27-38</pages><issn>0309-0167</issn><eissn>1365-2559</eissn><abstract>Dobson L, Conway C, Hanley A, Johnson A, Costello S, O’Grady A, Connolly Y, Magee H, O’Shea D, Jeffers M & Kay E
(2010) Histopathology 57, 27–38
Image analysis as an adjunct to manual HER‐2 immunohistochemical review: a diagnostic tool to standardize interpretation
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.</abstract><cop>Oxford, UK</cop><pub>Blackwell Publishing Ltd</pub><pmid>20584089</pmid><doi>10.1111/j.1365-2559.2010.03577.x</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Algorithms Antibodies, Monoclonal - therapeutic use Antibodies, Monoclonal, Humanized Antineoplastic Agents - therapeutic use Biological and medical sciences Biomarkers, Tumor - analysis Breast Neoplasms - chemistry Breast Neoplasms - diagnosis Breast Neoplasms - drug therapy Breast Neoplasms - genetics Cohort Studies Diagnosis, Computer-Assisted Female fluorescence in situ hybridization Genes, erbB-2 HER-2 Humans image analysis Image Processing, Computer-Assisted - methods Image Processing, Computer-Assisted - standards immunohistochemistry Immunohistochemistry - methods In Situ Hybridization, Fluorescence Investigative techniques, diagnostic techniques (general aspects) Medical sciences Original Pathology. Cytology. Biochemistry. Spectrometry. Miscellaneous investigative techniques Receptor, ErbB-2 - analysis Trastuzumab virtual slides |
| title | Image analysis as an adjunct to manual HER-2 immunohistochemical review: a diagnostic tool to standardize interpretation |
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