Free digital image analysis software helps to resolve equivocal scores in HER2 immunohistochemistry.
Evaluation of human epidermal growth factor receptor 2 (HER2) immunohistochemistry (IHC) is subject to interobserver variation and lack of reproducibility. Digital image analysis (DIA) has been shown to improve the consistency and accuracy of the evaluation and its use is encouraged in current testi...
| Publicado en: | Virchows Archiv: European Journal of Pathology Vol. 468; no. 2; pp. 191 - 199 |
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| Autores principales: | , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Feb2016
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=113486889&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 113486889 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09456317 O1Z jtl: Virchows Archiv: European Journal of Pathology issn: 09456317 maglogo: N pubinfo: dt: Feb2016 vid: 468 iid: 2 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 113486889 113486889 NLM26493985 10.1007/s00428-015-1868-7 NLM26493985 113486889 ppf: 191 ppct: 8 formats: fmt: @attributes: type: P tig: atl: Free digital image analysis software helps to resolve equivocal scores in HER2 immunohistochemistry. aug: au: Helin, Henrik Tuominen, Vilppu Ylinen, Onni Helin, Heikki Isola, Jorma Helin, Henrik O Tuominen, Vilppu J Helin, Heikki J affil: BioMediTech/Cancer Biology, University of Tampere, 33014 Tampere Finland sug: subj: Image Processing, Computer Assisted Methods Breast Neoplasms Pathology Receptors, Cell Surface Metabolism Observer Bias Female Breast Neoplasms In Situ Hybridization, Fluorescence Methods Tissue Array Analysis Methods Software Receptors, Cell Surface Breast Neoplasms Metabolism Immunohistochemistry Methods Reproducibility of Results Female ab: Evaluation of human epidermal growth factor receptor 2 (HER2) immunohistochemistry (IHC) is subject to interobserver variation and lack of reproducibility. Digital image analysis (DIA) has been shown to improve the consistency and accuracy of the evaluation and its use is encouraged in current testing guidelines. We studied whether digital image analysis using a free software application (ImmunoMembrane) can assist in interpreting HER2 IHC in equivocal 2+ cases. We also compared digital photomicrographs with whole-slide images (WSI) as material for ImmunoMembrane DIA. We stained 750 surgical resection specimens of invasive breast cancers immunohistochemically for HER2 and analysed staining with ImmunoMembrane. The ImmunoMembrane DIA scores were compared with the originally responsible pathologists' visual scores, a researcher's visual scores and in situ hybridisation (ISH) results. The originally responsible pathologists reported 9.1 % positive 3+ IHC scores, for the researcher this was 8.4 % and for ImmunoMembrane 9.5 %. Equivocal 2+ scores were 34 % for the pathologists, 43.7 % for the researcher and 10.1 % for ImmunoMembrane. Negative 0/1+ scores were 57.6 % for the pathologists, 46.8 % for the researcher and 80.8 % for ImmunoMembrane. There were six false positive cases, which were classified as 3+ by ImmunoMembrane and negative by ISH. Six cases were false negative defined as 0/1+ by IHC and positive by ISH. ImmunoMembrane DIA using digital photomicrographs and WSI showed almost perfect agreement. In conclusion, digital image analysis by ImmunoMembrane can help to resolve a majority of equivocal 2+ cases in HER2 IHC, which reduces the need for ISH testing. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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