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Breast cancer outcomes by steroid hormone receptor status assessed visually and by computer image analysis
Mohammed Z M A, Edwards J, Orange C, Mallon E, Doughty J C, McMillan D C & Going J J (2012) Histopathology 61, 283–292 Breast cancer outcomes by steroid hormone receptor status assessed visually and by computer image analysis Aims: To compare the assessment of steroid hormone receptor immunohi...
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| Published in: | Histopathology 2012-08, Vol.61 (2), p.283-292 |
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| container_end_page | 292 |
| container_issue | 2 |
| container_start_page | 283 |
| container_title | Histopathology |
| container_volume | 61 |
| creator | Mohammed, Zahra M A Edwards, Joanne Orange, Clare Mallon, Elizabeth Doughty, Julie C McMillan, Donald C Going, James J |
| description | Mohammed Z M A, Edwards J, Orange C, Mallon E, Doughty J C, McMillan D C & Going J J
(2012) Histopathology 61, 283–292
Breast cancer outcomes by steroid hormone receptor status assessed visually and by computer image analysis
Aims: To compare the assessment of steroid hormone receptor immunohistochemistry by eye and by computer‐aided image analysis, and to examine their relationships with survival in breast cancer.
Methods and results: Allred scores and weighted histoscores for oestrogen receptor (ER) and progesterone receptor (PR) immunohistochemistry were determined by eye (visual histoscore) for 459 primary invasive ductal breast carcinomas in triplicate tissue microarrays. Histoscores were also determined by computerized image analysis (automated histoscore). ER and PR status determined by these different methods were compared with each other and in their ability to predict survival over at least 142 months of follow‐up. Allred and visual histoscore were highly associated for ER and PR (both P |
| doi_str_mv | 10.1111/j.1365-2559.2012.04244.x |
| format | article |
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(2012) Histopathology 61, 283–292
Breast cancer outcomes by steroid hormone receptor status assessed visually and by computer image analysis
Aims: To compare the assessment of steroid hormone receptor immunohistochemistry by eye and by computer‐aided image analysis, and to examine their relationships with survival in breast cancer.
Methods and results: Allred scores and weighted histoscores for oestrogen receptor (ER) and progesterone receptor (PR) immunohistochemistry were determined by eye (visual histoscore) for 459 primary invasive ductal breast carcinomas in triplicate tissue microarrays. Histoscores were also determined by computerized image analysis (automated histoscore). ER and PR status determined by these different methods were compared with each other and in their ability to predict survival over at least 142 months of follow‐up. Allred and visual histoscore were highly associated for ER and PR (both P < 0.001). By univariate analysis, Allred score and visual histoscore for ER and PR were highly associated with recurrence‐free and cancer‐specific survival (both P < 0.001) in patients with invasive ductal breast cancer overall, in those who received tamoxifen, and in those with recurrence on tamoxifen. Visual and automated histoscores were in excellent agreement for ER and PR (both P < 0.001), and were equally effective in predicting recurrence and survival for patients with invasive breast cancer who received tamoxifen.
Conclusions: Automated histoscore appears to be a valid alternative to visual histoscore or Allred score for determining ER and PR status.</description><identifier>ISSN: 0309-0167</identifier><identifier>EISSN: 1365-2559</identifier><identifier>DOI: 10.1111/j.1365-2559.2012.04244.x</identifier><identifier>PMID: 22571413</identifier><identifier>CODEN: HISTDD</identifier><language>eng</language><publisher>Oxford, UK: Blackwell Publishing Ltd</publisher><subject>Adult ; Aged ; Antineoplastic Agents, Hormonal - therapeutic use ; automated weighted histoscore assessment ; Biological and medical sciences ; Breast Neoplasms - drug therapy ; Breast Neoplasms - metabolism ; Breast Neoplasms - pathology ; Carcinoma, Ductal, Breast - drug therapy ; Carcinoma, Ductal, Breast - metabolism ; Carcinoma, Ductal, Breast - pathology ; Disease-Free Survival ; Female ; Gynecology. Andrology. Obstetrics ; Humans ; Image Processing, Computer-Assisted ; Immunohistochemistry - methods ; Investigative techniques, diagnostic techniques (general aspects) ; Mammary gland diseases ; Medical sciences ; Middle Aged ; observer-weighted histoscore assessment ; Pathology. Cytology. Biochemistry. Spectrometry. Miscellaneous investigative techniques ; primary invasive breast cancer ; Receptors, Estrogen - metabolism ; Receptors, Progesterone - metabolism ; Recurrence ; survival ; Tamoxifen - therapeutic use ; Treatment Outcome ; Tumors</subject><ispartof>Histopathology, 2012-08, Vol.61 (2), p.283-292</ispartof><rights>2012 Blackwell Publishing Ltd</rights><rights>2015 INIST-CNRS</rights><rights>2012 Blackwell Publishing Ltd.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4654-2c56f9d35322d8d7e872d8276134de0aba269be570e193dc1052ef5761f0f30b3</citedby><cites>FETCH-LOGICAL-c4654-2c56f9d35322d8d7e872d8276134de0aba269be570e193dc1052ef5761f0f30b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=26207959$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22571413$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Mohammed, Zahra M A</creatorcontrib><creatorcontrib>Edwards, Joanne</creatorcontrib><creatorcontrib>Orange, Clare</creatorcontrib><creatorcontrib>Mallon, Elizabeth</creatorcontrib><creatorcontrib>Doughty, Julie C</creatorcontrib><creatorcontrib>McMillan, Donald C</creatorcontrib><creatorcontrib>Going, James J</creatorcontrib><title>Breast cancer outcomes by steroid hormone receptor status assessed visually and by computer image analysis</title><title>Histopathology</title><addtitle>Histopathology</addtitle><description>Mohammed Z M A, Edwards J, Orange C, Mallon E, Doughty J C, McMillan D C & Going J J
(2012) Histopathology 61, 283–292
Breast cancer outcomes by steroid hormone receptor status assessed visually and by computer image analysis
Aims: To compare the assessment of steroid hormone receptor immunohistochemistry by eye and by computer‐aided image analysis, and to examine their relationships with survival in breast cancer.
Methods and results: Allred scores and weighted histoscores for oestrogen receptor (ER) and progesterone receptor (PR) immunohistochemistry were determined by eye (visual histoscore) for 459 primary invasive ductal breast carcinomas in triplicate tissue microarrays. Histoscores were also determined by computerized image analysis (automated histoscore). ER and PR status determined by these different methods were compared with each other and in their ability to predict survival over at least 142 months of follow‐up. Allred and visual histoscore were highly associated for ER and PR (both P < 0.001). By univariate analysis, Allred score and visual histoscore for ER and PR were highly associated with recurrence‐free and cancer‐specific survival (both P < 0.001) in patients with invasive ductal breast cancer overall, in those who received tamoxifen, and in those with recurrence on tamoxifen. Visual and automated histoscores were in excellent agreement for ER and PR (both P < 0.001), and were equally effective in predicting recurrence and survival for patients with invasive breast cancer who received tamoxifen.
Conclusions: Automated histoscore appears to be a valid alternative to visual histoscore or Allred score for determining ER and PR status.</description><subject>Adult</subject><subject>Aged</subject><subject>Antineoplastic Agents, Hormonal - therapeutic use</subject><subject>automated weighted histoscore assessment</subject><subject>Biological and medical sciences</subject><subject>Breast Neoplasms - drug therapy</subject><subject>Breast Neoplasms - metabolism</subject><subject>Breast Neoplasms - pathology</subject><subject>Carcinoma, Ductal, Breast - drug therapy</subject><subject>Carcinoma, Ductal, Breast - metabolism</subject><subject>Carcinoma, Ductal, Breast - pathology</subject><subject>Disease-Free Survival</subject><subject>Female</subject><subject>Gynecology. Andrology. Obstetrics</subject><subject>Humans</subject><subject>Image Processing, Computer-Assisted</subject><subject>Immunohistochemistry - methods</subject><subject>Investigative techniques, diagnostic techniques (general aspects)</subject><subject>Mammary gland diseases</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>observer-weighted histoscore assessment</subject><subject>Pathology. Cytology. Biochemistry. Spectrometry. Miscellaneous investigative techniques</subject><subject>primary invasive breast cancer</subject><subject>Receptors, Estrogen - metabolism</subject><subject>Receptors, Progesterone - metabolism</subject><subject>Recurrence</subject><subject>survival</subject><subject>Tamoxifen - therapeutic use</subject><subject>Treatment Outcome</subject><subject>Tumors</subject><issn>0309-0167</issn><issn>1365-2559</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><recordid>eNqNkV-L1DAUxYMo7jj6FSQggi-t-dMk7YMPuujuwrjiurKPIU1vtbWdjkmr02_vrTOO4JOlcEPv79yc3kMI5Szl-LxsUy61SoRSRSoYFynLRJal-3tkdWrcJysmWZEwrs0ZeRRjyxg3UoiH5EwIZXjG5Yq0bwK4OFLvth4CHabRDz1EWs40jhCGpqJfh9APW6ABPOzGIWDDjVOkLkbAt6I_mji5rpup21aLECfsJhTTpndfAL-6bo5NfEwe1K6L8ORY1-Tzu7e355fJ5sPF1fnrTeIzrbJEeKXropIKrVZ5ZSA3WIXRXGYVMFc6oYsSlGHAC1l5zpSAWmG_ZrVkpVyTF4e5uzB8nyCOtm-ih65zWximaDmuRTFlRIHos3_QdpgC-kXKaJ2LnKOPNckPlA9DjAFquwv4a2HGUXbJw7Z2Wbtd1m6XPOzvPOwepU-PF0xlD9VJ-CcABJ4fARe96-qAOTTxL6cFM4VanL46cD-bDub_NmAvrz4tJ9QnB32Dse5Pehe-WW2kUfbu-sLe3X7cXN-w9_ZG_gIiirWV</recordid><startdate>201208</startdate><enddate>201208</enddate><creator>Mohammed, Zahra M A</creator><creator>Edwards, Joanne</creator><creator>Orange, Clare</creator><creator>Mallon, Elizabeth</creator><creator>Doughty, Julie C</creator><creator>McMillan, Donald C</creator><creator>Going, James J</creator><general>Blackwell Publishing Ltd</general><general>Blackwell</general><general>Wiley Subscription Services, Inc</general><scope>BSCLL</scope><scope>IQODW</scope><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>7QP</scope><scope>7QR</scope><scope>7T5</scope><scope>7TK</scope><scope>7TM</scope><scope>8FD</scope><scope>FR3</scope><scope>H94</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope></search><sort><creationdate>201208</creationdate><title>Breast cancer outcomes by steroid hormone receptor status assessed visually and by computer image analysis</title><author>Mohammed, Zahra M A ; Edwards, Joanne ; Orange, Clare ; Mallon, Elizabeth ; Doughty, Julie C ; McMillan, Donald C ; Going, James J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4654-2c56f9d35322d8d7e872d8276134de0aba269be570e193dc1052ef5761f0f30b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Antineoplastic Agents, Hormonal - therapeutic use</topic><topic>automated weighted histoscore assessment</topic><topic>Biological and medical sciences</topic><topic>Breast Neoplasms - drug therapy</topic><topic>Breast Neoplasms - metabolism</topic><topic>Breast Neoplasms - pathology</topic><topic>Carcinoma, Ductal, Breast - drug therapy</topic><topic>Carcinoma, Ductal, Breast - metabolism</topic><topic>Carcinoma, Ductal, Breast - pathology</topic><topic>Disease-Free Survival</topic><topic>Female</topic><topic>Gynecology. Andrology. Obstetrics</topic><topic>Humans</topic><topic>Image Processing, Computer-Assisted</topic><topic>Immunohistochemistry - methods</topic><topic>Investigative techniques, diagnostic techniques (general aspects)</topic><topic>Mammary gland diseases</topic><topic>Medical sciences</topic><topic>Middle Aged</topic><topic>observer-weighted histoscore assessment</topic><topic>Pathology. Cytology. Biochemistry. Spectrometry. Miscellaneous investigative techniques</topic><topic>primary invasive breast cancer</topic><topic>Receptors, Estrogen - metabolism</topic><topic>Receptors, Progesterone - metabolism</topic><topic>Recurrence</topic><topic>survival</topic><topic>Tamoxifen - therapeutic use</topic><topic>Treatment Outcome</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mohammed, Zahra M A</creatorcontrib><creatorcontrib>Edwards, Joanne</creatorcontrib><creatorcontrib>Orange, Clare</creatorcontrib><creatorcontrib>Mallon, Elizabeth</creatorcontrib><creatorcontrib>Doughty, Julie C</creatorcontrib><creatorcontrib>McMillan, Donald C</creatorcontrib><creatorcontrib>Going, James J</creatorcontrib><collection>Istex</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>Calcium & Calcified Tissue Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Immunology Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Histopathology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mohammed, Zahra M A</au><au>Edwards, Joanne</au><au>Orange, Clare</au><au>Mallon, Elizabeth</au><au>Doughty, Julie C</au><au>McMillan, Donald C</au><au>Going, James J</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Breast cancer outcomes by steroid hormone receptor status assessed visually and by computer image analysis</atitle><jtitle>Histopathology</jtitle><addtitle>Histopathology</addtitle><date>2012-08</date><risdate>2012</risdate><volume>61</volume><issue>2</issue><spage>283</spage><epage>292</epage><pages>283-292</pages><issn>0309-0167</issn><eissn>1365-2559</eissn><coden>HISTDD</coden><abstract>Mohammed Z M A, Edwards J, Orange C, Mallon E, Doughty J C, McMillan D C & Going J J
(2012) Histopathology 61, 283–292
Breast cancer outcomes by steroid hormone receptor status assessed visually and by computer image analysis
Aims: To compare the assessment of steroid hormone receptor immunohistochemistry by eye and by computer‐aided image analysis, and to examine their relationships with survival in breast cancer.
Methods and results: Allred scores and weighted histoscores for oestrogen receptor (ER) and progesterone receptor (PR) immunohistochemistry were determined by eye (visual histoscore) for 459 primary invasive ductal breast carcinomas in triplicate tissue microarrays. Histoscores were also determined by computerized image analysis (automated histoscore). ER and PR status determined by these different methods were compared with each other and in their ability to predict survival over at least 142 months of follow‐up. Allred and visual histoscore were highly associated for ER and PR (both P < 0.001). By univariate analysis, Allred score and visual histoscore for ER and PR were highly associated with recurrence‐free and cancer‐specific survival (both P < 0.001) in patients with invasive ductal breast cancer overall, in those who received tamoxifen, and in those with recurrence on tamoxifen. Visual and automated histoscores were in excellent agreement for ER and PR (both P < 0.001), and were equally effective in predicting recurrence and survival for patients with invasive breast cancer who received tamoxifen.
Conclusions: Automated histoscore appears to be a valid alternative to visual histoscore or Allred score for determining ER and PR status.</abstract><cop>Oxford, UK</cop><pub>Blackwell Publishing Ltd</pub><pmid>22571413</pmid><doi>10.1111/j.1365-2559.2012.04244.x</doi><tpages>10</tpages></addata></record> |
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| subjects | Adult Aged Antineoplastic Agents, Hormonal - therapeutic use automated weighted histoscore assessment Biological and medical sciences Breast Neoplasms - drug therapy Breast Neoplasms - metabolism Breast Neoplasms - pathology Carcinoma, Ductal, Breast - drug therapy Carcinoma, Ductal, Breast - metabolism Carcinoma, Ductal, Breast - pathology Disease-Free Survival Female Gynecology. Andrology. Obstetrics Humans Image Processing, Computer-Assisted Immunohistochemistry - methods Investigative techniques, diagnostic techniques (general aspects) Mammary gland diseases Medical sciences Middle Aged observer-weighted histoscore assessment Pathology. Cytology. Biochemistry. Spectrometry. Miscellaneous investigative techniques primary invasive breast cancer Receptors, Estrogen - metabolism Receptors, Progesterone - metabolism Recurrence survival Tamoxifen - therapeutic use Treatment Outcome Tumors |
| title | Breast cancer outcomes by steroid hormone receptor status assessed visually and by computer image analysis |
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