Investigating Various Thresholds as Immunohistochemistry Cutoffs for Observer Agreement
Clinical translation of immunohistochemistry (IHC) biomarkers requires reliable and reproducible cutoffs or thresholds for interpretation of immunostaining. Most IHC biomarker research focuses on the clinical relevance (diagnostic, prognostic, or predictive utility) of cutoffs, with less emphasis on...
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Veröffentlicht in: | Applied immunohistochemistry & molecular morphology 2017-10, Vol.25 (9), p.599-608 |
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creator | Ali, Asif Bell, Sarah Bilsland, Alan Slavin, Jill Lynch, Victoria Elgoweini, Maha Derakhshan, Mohammad H Jamieson, Nigel B Chang, David Brown, Victoria Denley, Simon Orange, Clare McKay, Colin Carter, Ross Oien, Karin A Duthie, Fraser R |
description | Clinical translation of immunohistochemistry (IHC) biomarkers requires reliable and reproducible cutoffs or thresholds for interpretation of immunostaining. Most IHC biomarker research focuses on the clinical relevance (diagnostic, prognostic, or predictive utility) of cutoffs, with less emphasis on observer agreement using these cutoffs. From the literature, we identified 3 commonly used cutoffs of 10% positive epithelial cells, 20% positive epithelial cells, and moderate to strong staining intensity (+2/+3 hereafter) to use for investigating observer agreement.
A series of 36 images of microarray cores stained for 4 different IHC biomarkers, with variable staining intensity and percentage of positive cells, was used for investigating interobserver and intraobserver agreement. Seven pathologists scored the immunostaining in each image using the 3 cutoffs for positive and negative staining. Kappa (κ) statistic was used to assess the strength of agreement for each cutoff.
The interobserver agreement between all 7 pathologists using the 3 cutoffs was reasonably good, with mean κ scores of 0.64, 0.59, and 0.62, respectively, for 10%, 20%, and +2/+3 cutoffs. A good agreement was observed for experienced pathologists using the 10% cutoff, and their agreement was statistically higher than for junior pathologists (P=0.02). In addition, the mean intraobserver agreement for all 7 pathologists using the 3 cutoffs was reasonably good, with mean κ scores of 0.71, 0.60, and 0.73, respectively, for 10%, 20%, and +2/+3 cutoffs. For all 3 cutoffs, a positive correlation was observed with perceived ease of interpretation (P |
doi_str_mv | 10.1097/PAI.0000000000000357 |
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A series of 36 images of microarray cores stained for 4 different IHC biomarkers, with variable staining intensity and percentage of positive cells, was used for investigating interobserver and intraobserver agreement. Seven pathologists scored the immunostaining in each image using the 3 cutoffs for positive and negative staining. Kappa (κ) statistic was used to assess the strength of agreement for each cutoff.
The interobserver agreement between all 7 pathologists using the 3 cutoffs was reasonably good, with mean κ scores of 0.64, 0.59, and 0.62, respectively, for 10%, 20%, and +2/+3 cutoffs. A good agreement was observed for experienced pathologists using the 10% cutoff, and their agreement was statistically higher than for junior pathologists (P=0.02). In addition, the mean intraobserver agreement for all 7 pathologists using the 3 cutoffs was reasonably good, with mean κ scores of 0.71, 0.60, and 0.73, respectively, for 10%, 20%, and +2/+3 cutoffs. For all 3 cutoffs, a positive correlation was observed with perceived ease of interpretation (P<0.003). Finally, cytoplasmic-only staining achieved higher agreement using all 3 cutoffs than mixed staining patterns.
All 3 cutoffs investigated achieve reasonable strength of agreement, modestly decreasing interobserver and intraobserver variability in IHC interpretation. These cutoffs have previously been used in cancer pathology, and this study provides evidence that these cutoffs can be reproducible between practicing pathologists.</description><identifier>ISSN: 1541-2016</identifier><identifier>EISSN: 1533-4058</identifier><identifier>DOI: 10.1097/PAI.0000000000000357</identifier><identifier>PMID: 27093449</identifier><language>eng</language><publisher>United States</publisher><subject>Carcinoma, Pancreatic Ductal - metabolism ; Carcinoma, Pancreatic Ductal - pathology ; Humans ; Immunohistochemistry ; Observer Variation ; Pancreatic Neoplasms - metabolism ; Pancreatic Neoplasms - pathology ; Tissue Array Analysis</subject><ispartof>Applied immunohistochemistry & molecular morphology, 2017-10, Vol.25 (9), p.599-608</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c353t-6657c0805201687d82585dc2109e20c414e41b99cec2b20588b7982a6d1200e23</citedby><cites>FETCH-LOGICAL-c353t-6657c0805201687d82585dc2109e20c414e41b99cec2b20588b7982a6d1200e23</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27093449$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ali, Asif</creatorcontrib><creatorcontrib>Bell, Sarah</creatorcontrib><creatorcontrib>Bilsland, Alan</creatorcontrib><creatorcontrib>Slavin, Jill</creatorcontrib><creatorcontrib>Lynch, Victoria</creatorcontrib><creatorcontrib>Elgoweini, Maha</creatorcontrib><creatorcontrib>Derakhshan, Mohammad H</creatorcontrib><creatorcontrib>Jamieson, Nigel B</creatorcontrib><creatorcontrib>Chang, David</creatorcontrib><creatorcontrib>Brown, Victoria</creatorcontrib><creatorcontrib>Denley, Simon</creatorcontrib><creatorcontrib>Orange, Clare</creatorcontrib><creatorcontrib>McKay, Colin</creatorcontrib><creatorcontrib>Carter, Ross</creatorcontrib><creatorcontrib>Oien, Karin A</creatorcontrib><creatorcontrib>Duthie, Fraser R</creatorcontrib><title>Investigating Various Thresholds as Immunohistochemistry Cutoffs for Observer Agreement</title><title>Applied immunohistochemistry & molecular morphology</title><addtitle>Appl Immunohistochem Mol Morphol</addtitle><description>Clinical translation of immunohistochemistry (IHC) biomarkers requires reliable and reproducible cutoffs or thresholds for interpretation of immunostaining. Most IHC biomarker research focuses on the clinical relevance (diagnostic, prognostic, or predictive utility) of cutoffs, with less emphasis on observer agreement using these cutoffs. From the literature, we identified 3 commonly used cutoffs of 10% positive epithelial cells, 20% positive epithelial cells, and moderate to strong staining intensity (+2/+3 hereafter) to use for investigating observer agreement.
A series of 36 images of microarray cores stained for 4 different IHC biomarkers, with variable staining intensity and percentage of positive cells, was used for investigating interobserver and intraobserver agreement. Seven pathologists scored the immunostaining in each image using the 3 cutoffs for positive and negative staining. Kappa (κ) statistic was used to assess the strength of agreement for each cutoff.
The interobserver agreement between all 7 pathologists using the 3 cutoffs was reasonably good, with mean κ scores of 0.64, 0.59, and 0.62, respectively, for 10%, 20%, and +2/+3 cutoffs. A good agreement was observed for experienced pathologists using the 10% cutoff, and their agreement was statistically higher than for junior pathologists (P=0.02). In addition, the mean intraobserver agreement for all 7 pathologists using the 3 cutoffs was reasonably good, with mean κ scores of 0.71, 0.60, and 0.73, respectively, for 10%, 20%, and +2/+3 cutoffs. For all 3 cutoffs, a positive correlation was observed with perceived ease of interpretation (P<0.003). Finally, cytoplasmic-only staining achieved higher agreement using all 3 cutoffs than mixed staining patterns.
All 3 cutoffs investigated achieve reasonable strength of agreement, modestly decreasing interobserver and intraobserver variability in IHC interpretation. These cutoffs have previously been used in cancer pathology, and this study provides evidence that these cutoffs can be reproducible between practicing pathologists.</description><subject>Carcinoma, Pancreatic Ductal - metabolism</subject><subject>Carcinoma, Pancreatic Ductal - pathology</subject><subject>Humans</subject><subject>Immunohistochemistry</subject><subject>Observer Variation</subject><subject>Pancreatic Neoplasms - metabolism</subject><subject>Pancreatic Neoplasms - pathology</subject><subject>Tissue Array Analysis</subject><issn>1541-2016</issn><issn>1533-4058</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpdUMtOwzAQtBCIlsIfIOQjlxQ_E-dYVTwiVSqHAscocTZNUBIXO6nUv8dRC0LsZfYwszszCN1SMqckjh5eF8mc_B0uozM0pZLzQBCpzsdd0IARGk7QlXOfhDDGhbhEExaR2G_xFH0k3R5cX2-zvu62-D2ztRkc3lQWXGWawuHM4aRth85UteuNrqD1aA94OfSmLB0ujcXr3IHdg8WLrQVooeuv0UWZNQ5uTjhDb0-Pm-VLsFo_J8vFKtBc8j4IQxlpoogcXaqoUEwqWWjmEwIjWlABguZxrEGznPlUKo9ixbKwoIwQYHyG7o93d9Z8DT5J6u1paJqsAx8kpYqFYcQ4jT1VHKnaGucslOnO1m1mDykl6Vhp6itN_1fqZXenD0PeQvEr-umQfwMGW3EQ</recordid><startdate>20171001</startdate><enddate>20171001</enddate><creator>Ali, Asif</creator><creator>Bell, Sarah</creator><creator>Bilsland, Alan</creator><creator>Slavin, Jill</creator><creator>Lynch, Victoria</creator><creator>Elgoweini, Maha</creator><creator>Derakhshan, Mohammad H</creator><creator>Jamieson, Nigel B</creator><creator>Chang, David</creator><creator>Brown, Victoria</creator><creator>Denley, Simon</creator><creator>Orange, Clare</creator><creator>McKay, Colin</creator><creator>Carter, Ross</creator><creator>Oien, Karin A</creator><creator>Duthie, Fraser R</creator><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20171001</creationdate><title>Investigating Various Thresholds as Immunohistochemistry Cutoffs for Observer Agreement</title><author>Ali, Asif ; Bell, Sarah ; Bilsland, Alan ; Slavin, Jill ; Lynch, Victoria ; Elgoweini, Maha ; Derakhshan, Mohammad H ; Jamieson, Nigel B ; Chang, David ; Brown, Victoria ; Denley, Simon ; Orange, Clare ; McKay, Colin ; Carter, Ross ; Oien, Karin A ; Duthie, Fraser R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c353t-6657c0805201687d82585dc2109e20c414e41b99cec2b20588b7982a6d1200e23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Carcinoma, Pancreatic Ductal - metabolism</topic><topic>Carcinoma, Pancreatic Ductal - pathology</topic><topic>Humans</topic><topic>Immunohistochemistry</topic><topic>Observer Variation</topic><topic>Pancreatic Neoplasms - metabolism</topic><topic>Pancreatic Neoplasms - pathology</topic><topic>Tissue Array Analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ali, Asif</creatorcontrib><creatorcontrib>Bell, Sarah</creatorcontrib><creatorcontrib>Bilsland, Alan</creatorcontrib><creatorcontrib>Slavin, Jill</creatorcontrib><creatorcontrib>Lynch, Victoria</creatorcontrib><creatorcontrib>Elgoweini, Maha</creatorcontrib><creatorcontrib>Derakhshan, Mohammad H</creatorcontrib><creatorcontrib>Jamieson, Nigel B</creatorcontrib><creatorcontrib>Chang, David</creatorcontrib><creatorcontrib>Brown, Victoria</creatorcontrib><creatorcontrib>Denley, Simon</creatorcontrib><creatorcontrib>Orange, Clare</creatorcontrib><creatorcontrib>McKay, Colin</creatorcontrib><creatorcontrib>Carter, Ross</creatorcontrib><creatorcontrib>Oien, Karin A</creatorcontrib><creatorcontrib>Duthie, Fraser R</creatorcontrib><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><jtitle>Applied immunohistochemistry & molecular morphology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ali, Asif</au><au>Bell, Sarah</au><au>Bilsland, Alan</au><au>Slavin, Jill</au><au>Lynch, Victoria</au><au>Elgoweini, Maha</au><au>Derakhshan, Mohammad H</au><au>Jamieson, Nigel B</au><au>Chang, David</au><au>Brown, Victoria</au><au>Denley, Simon</au><au>Orange, Clare</au><au>McKay, Colin</au><au>Carter, Ross</au><au>Oien, Karin A</au><au>Duthie, Fraser R</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Investigating Various Thresholds as Immunohistochemistry Cutoffs for Observer Agreement</atitle><jtitle>Applied immunohistochemistry & molecular morphology</jtitle><addtitle>Appl Immunohistochem Mol Morphol</addtitle><date>2017-10-01</date><risdate>2017</risdate><volume>25</volume><issue>9</issue><spage>599</spage><epage>608</epage><pages>599-608</pages><issn>1541-2016</issn><eissn>1533-4058</eissn><abstract>Clinical translation of immunohistochemistry (IHC) biomarkers requires reliable and reproducible cutoffs or thresholds for interpretation of immunostaining. Most IHC biomarker research focuses on the clinical relevance (diagnostic, prognostic, or predictive utility) of cutoffs, with less emphasis on observer agreement using these cutoffs. From the literature, we identified 3 commonly used cutoffs of 10% positive epithelial cells, 20% positive epithelial cells, and moderate to strong staining intensity (+2/+3 hereafter) to use for investigating observer agreement.
A series of 36 images of microarray cores stained for 4 different IHC biomarkers, with variable staining intensity and percentage of positive cells, was used for investigating interobserver and intraobserver agreement. Seven pathologists scored the immunostaining in each image using the 3 cutoffs for positive and negative staining. Kappa (κ) statistic was used to assess the strength of agreement for each cutoff.
The interobserver agreement between all 7 pathologists using the 3 cutoffs was reasonably good, with mean κ scores of 0.64, 0.59, and 0.62, respectively, for 10%, 20%, and +2/+3 cutoffs. A good agreement was observed for experienced pathologists using the 10% cutoff, and their agreement was statistically higher than for junior pathologists (P=0.02). In addition, the mean intraobserver agreement for all 7 pathologists using the 3 cutoffs was reasonably good, with mean κ scores of 0.71, 0.60, and 0.73, respectively, for 10%, 20%, and +2/+3 cutoffs. For all 3 cutoffs, a positive correlation was observed with perceived ease of interpretation (P<0.003). Finally, cytoplasmic-only staining achieved higher agreement using all 3 cutoffs than mixed staining patterns.
All 3 cutoffs investigated achieve reasonable strength of agreement, modestly decreasing interobserver and intraobserver variability in IHC interpretation. These cutoffs have previously been used in cancer pathology, and this study provides evidence that these cutoffs can be reproducible between practicing pathologists.</abstract><cop>United States</cop><pmid>27093449</pmid><doi>10.1097/PAI.0000000000000357</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Carcinoma, Pancreatic Ductal - metabolism Carcinoma, Pancreatic Ductal - pathology Humans Immunohistochemistry Observer Variation Pancreatic Neoplasms - metabolism Pancreatic Neoplasms - pathology Tissue Array Analysis |
title | Investigating Various Thresholds as Immunohistochemistry Cutoffs for Observer Agreement |
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