Literature DB >> 22993620

Comparison of evaluations of hormone receptors in breast carcinoma by image-analysis using three automated immunohistochemical stainings.

Koji Arihiro1, Miyo Oda, Katsunari Ogawa, Kenshi Tominaga, Yoshie Kaneko, Tomomi Shimizu, Shiho Ohnishi, Megumi Oda, Yuki Kurita, Yuko Taira, Masayoshi Fujii, Maiko Tanaka.   

Abstract

The aim of this study was to compare the results of immunohistochemistry (IHC) assays evaluated by human examiners with the results evaluated by computerized image analysis, and to compare the computerized image analysis results among three automated IHC assays, namely the BioGenex, Dako and Ventana assays. All slides were semiquantitatively evaluated according to the Allred score and J-score by human examiners. The images were analyzed using MacSCOPE version 2.6 for Macintosh according to the H-score and the percentage of positive-stained nuclei per area of carcinoma cells (PP) irrespective of the intensity of the stained nuclei. The H-score for the estrogen receptor (ER) was significantly correlated with the Allred score (P<0.0001) and the PP for the ER was significantly correlated with the J-score (P<0.0001), suggesting that the image analysis used in the present study is a useful method for the evaluation of ER status. Several discrepancies were identified between the Allred score and H-score and between the PP and J-score due to the positive-stained cytoplasm area of carcinoma cells and/ or the positive-stained nuclei area of non-carcinoma cells, including benign epithelial cells, lymphocytes and stromal cells. Accordingly, advances in the algorithm of the digitized analyzing system is necessary.

Entities:  

Year:  2010        PMID: 22993620      PMCID: PMC3446734          DOI: 10.3892/etm.2010.142

Source DB:  PubMed          Journal:  Exp Ther Med        ISSN: 1792-0981            Impact factor:   2.447


  30 in total

Review 1.  Quantification of immunohistochemistry--issues concerning methods, utility and semiquantitative assessment II.

Authors:  C R Taylor; R M Levenson
Journal:  Histopathology       Date:  2006-10       Impact factor: 5.087

2.  Comparison of evaluations for hormone receptors in breast carcinoma using two manual and three automated immunohistochemical assays.

Authors:  Koji Arihiro; Shinobu Umemura; Masafumi Kurosumi; Takuya Moriya; Tetsunari Oyama; Hiroko Yamashita; Yoshihisa Umekita; Yoshifumi Komoike; Chikako Shimizu; Hisaki Fukushima; Hiroshi Kajiwara; Futoshi Akiyama
Journal:  Am J Clin Pathol       Date:  2007-03       Impact factor: 2.493

3.  Image cytometric analysis in pathology.

Authors:  C Cohen
Journal:  Hum Pathol       Date:  1996-05       Impact factor: 3.466

4.  Quantitative image analysis of estrogen receptors in breast fine needle aspiration biopsies.

Authors:  Zissis Vesoulis; Lakshmi Rajappannair; Linda Define; Jackie Beach; Zachary Vesoulis; Brian Schnell; Sally Myers
Journal:  Anal Quant Cytol Histol       Date:  2004-12       Impact factor: 0.302

5.  Quantitative analysis of estrogen receptor heterogeneity in breast cancer.

Authors:  Gina G Chung; Maciej P Zerkowski; Sriparna Ghosh; Robert L Camp; David L Rimm
Journal:  Lab Invest       Date:  2007-03-05       Impact factor: 5.662

6.  A new immunohistochemical antibody for the assessment of estrogen receptor status on routine formalin-fixed tissue samples.

Authors:  H Goulding; S Pinder; P Cannon; D Pearson; R Nicholson; D Snead; J Bell; C W Elston; J F Robertson; R W Blamey
Journal:  Hum Pathol       Date:  1995-03       Impact factor: 3.466

7.  Comparative study of computer-assisted image analysis and light-microscopically determined estrogen receptor status of breast carcinomas.

Authors:  J Bejar; E Sabo; I Misselevich; S Eldar; J H Boss
Journal:  Arch Pathol Lab Med       Date:  1998-04       Impact factor: 5.534

8.  Estrogen and progesterone receptor status determined by the Ventana ES 320 automated immunohistochemical stainer and the CAS 200 image analyzer in 236 early-stage breast carcinomas: prognostic significance.

Authors:  L J Layfield; E A Saria; D H Conlon; B J Kerns
Journal:  J Surg Oncol       Date:  1996-03       Impact factor: 3.454

9.  Thresholds for therapies: highlights of the St Gallen International Expert Consensus on the primary therapy of early breast cancer 2009.

Authors:  A Goldhirsch; J N Ingle; R D Gelber; A S Coates; B Thürlimann; H-J Senn
Journal:  Ann Oncol       Date:  2009-06-17       Impact factor: 32.976

10.  Novel image analysis approach for quantifying expression of nuclear proteins assessed by immunohistochemistry: application to measurement of oestrogen and progesterone receptor levels in breast cancer.

Authors:  Elton Rexhepaj; Donal J Brennan; Peter Holloway; Elaine W Kay; Amanda H McCann; Goran Landberg; Michael J Duffy; Karin Jirstrom; William M Gallagher
Journal:  Breast Cancer Res       Date:  2008-10-23       Impact factor: 6.466

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  1 in total

1.  Curcumin protects against ischemic spinal cord injury: The pathway effect.

Authors:  Jinhua Zhang; Hao Wei; Meimei Lin; Chunmei Chen; Chunhua Wang; Maobai Liu
Journal:  Neural Regen Res       Date:  2013-12-25       Impact factor: 5.135

  1 in total

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