An improved image analysis method for cell counting lends credibility to the prognostic significance of T cells in colorectal cancer.
Numerous immunohistochemically detectable proteins, such as immune cell surface (CD) proteins, vascular endothelial growth factor, and matrix metalloproteinases, have been proposed as potential prognostic markers in colorectal cancer (CRC) and other malignancies. However, the lack of reproducibility...
| Publicado en: | Virchows Archiv: European Journal of Pathology Vol. 460; no. 5; pp. 455 - 466 |
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| Autores principales: | , , , , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
May2012
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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=104443754&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104443754 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: May2012 vid: 460 iid: 5 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104443754 NLM22527018 2011752422 10.1007/s00428-012-1232-0 NLM22527018 104443754 ppf: 455 ppct: 11 formats: fmt: @attributes: type: P tig: atl: An improved image analysis method for cell counting lends credibility to the prognostic significance of T cells in colorectal cancer. aug: au: Väyrynen JP Vornanen JO Sajanti S Böhm JP Tuomisto A Mäkinen MJ Väyrynen, Juha P Vornanen, Juha O Sajanti, Sara Böhm, Jan P Tuomisto, Anne Mäkinen, Markus J affil: Department of Pathology, University of Oulu, POB 5000, 90014 Oulu, Finland sug: subj: Colorectal Neoplasms Immunology Colorectal Neoplasms Pathology Image Interpretation, Computer Assisted Methods T Lymphocytes Pathology Aged Cell Count Methods Female Human Immunohistochemistry Methods Male Prognosis Neoplasm Staging Reproducibility of Results Software Aged: 65+ years Female Male ab: Numerous immunohistochemically detectable proteins, such as immune cell surface (CD) proteins, vascular endothelial growth factor, and matrix metalloproteinases, have been proposed as potential prognostic markers in colorectal cancer (CRC) and other malignancies. However, the lack of reproducibility has been a major problem in validating the clinical use of such markers, and this has been attributed to insufficiently robust methods used in immunohistochemical staining or its assessment. In this study, we assessed how computer-assisted image analysis might contribute to the reliable assessment of positive area percentage and immune cell density in CRC specimens, and subsequently, we applied the computer-assisted cell counting method in assessing the prognostic value of T cell infiltration in CRC. The computer-assisted analysis methods were based on separating hematoxylin and diaminobenzidine color layers and then applying a brightness threshold using open source image analysis software ImageJ. We found that computer-based analysis results in a more reproducible assessment of the immune positive area percentage than visual semiquantitative estimation. Computer-assisted immune cell counting was rapid to perform and accurate (Pearson r > 0.96 with exact manual cell counts). Moreover, the computer-assisted determination of peritumoral and stromal T cell density had independent prognostic value. Our results suggest that computer-assisted image analysis, utilizing freely available image analysis software, provides a valuable alternative to semiquantitative assessment of immunohistochemical results in cancer research, as well as in clinical practice. The advantages of using computer-assisted analysis include objectivity, accuracy, reproducibility, and time efficiency. This study supports the prognostic value of assessing T cell infiltration in CRC. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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