Literature DB >> 7547496

Quantitative immunohistochemistry using the CAS 200/486 image analysis system in invasive breast carcinoma: a reproducibility study.

S V Makkink-Nombrado1, J P Baak, L Schuurmans, J W Theeuwes, T van der Aa.   

Abstract

We evaluated the intra- and inter-observer reproducibility of quantitative immunohistochemical (IHC) analyses using the Cell Analysis Systems (CAS) 200/486 image analyzer of Estrogen Receptor (ER), Progesterone Receptor (PR), proliferation-associated nuclear protein (Ki67), HER-2/neu (c-erbB-2) protein over-expression and cathepsin D (CD) in 20 randomly-selected invasive breast carcinomas. Qualitative analysis of IHC Epidermal Growth Factor Receptor (EGF-R) was also assessed in this study for comparative purposes. Duplicate blind assessments by the same observer showed excellent correlations for all quantitative IHC features (P < 0.001; P = 0.004 for neu). However, the immuno-quantitative analyses results between the 3 different operators showed lower correlation coefficient values, thus being less reproducible. This resulted in systematic differences and bias between the observers. This was also clear from the overall agreement between the 3 observers which was 70% for ER, 70% for PR, 56% for Ki67, 79% for c-erbB-2 and 75% for CD. The qualitative visual assessments of EGF-R, expressed as either positive or negative, showed a 75% agreement between observers and 85% intra-observer agreement (comparable to quantitative digital image processing results). The same results were obtained with kappa statistics. A further analysis of the factors causing the lack of reproducibility was performed. For quantitative IHC, segmentation of stored and retrieved digitized images was quite reproducible between and within well-trained observers. However, variation between different fields of vision of one and the same section showed large variations for most cases. Therefore, differences in sampling of fields within a section appeared to be the major cause of lack of reproducibility between observers, although segmentation differences still added slightly to the inter-observer variations. Accordingly, a strict sampling protocol of fields of vision is mandatory to obtain reproducible quantitative IHC results. It is clear from the present study that so-called random (but in fact, at convenience) selection of fields of vision for measurement is not a sufficient guarantee of adequacy of the sampling.

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Year:  1995        PMID: 7547496

Source DB:  PubMed          Journal:  Anal Cell Pathol        ISSN: 0921-8912            Impact factor:   2.916


  5 in total

1.  Proliferative activity in invasive breast carcinoma.

Authors:  S E Pinder; C W Elston; I O Ellis
Journal:  J Clin Pathol       Date:  1996-11       Impact factor: 3.411

2.  Ki-67 Proliferation Index Assessment in Gastroenteropancreatic Neuroendocrine Tumors by Digital Image Analysis With Stringent Case and Hotspot Level Concordance Requirements.

Authors:  Sarag A Boukhar; Matthew D Gosse; Andrew M Bellizzi; Anand Rajan K D
Journal:  Am J Clin Pathol       Date:  2021-09-08       Impact factor: 2.493

3.  How reliable is Ki-67 immunohistochemistry in grade 2 breast carcinomas? A QA study of the Swiss Working Group of Breast- and Gynecopathologists.

Authors:  Zsuzsanna Varga; Joachim Diebold; Corina Dommann-Scherrer; Harald Frick; Daniela Kaup; Aurelia Noske; Ellen Obermann; Christian Ohlschlegel; Barbara Padberg; Christiane Rakozy; Sara Sancho Oliver; Sylviane Schobinger-Clement; Heide Schreiber-Facklam; Gad Singer; Coya Tapia; Urs Wagner; Mauro G Mastropasqua; Giuseppe Viale; Hans-Anton Lehr
Journal:  PLoS One       Date:  2012-05-25       Impact factor: 3.240

4.  Observer performance in the use of digital and optical microscopy for the interpretation of tissue-based biomarkers.

Authors:  Marios A Gavrielides; Catherine Conway; Neil O'Flaherty; Brandon D Gallas; Stephen M Hewitt
Journal:  Anal Cell Pathol (Amst)       Date:  2014-11-11       Impact factor: 2.916

5.  Automated measurement of estrogen receptor in breast cancer: a comparison of fluorescent and chromogenic methods of measurement.

Authors:  Elizabeth R Zarrella; Madeline Coulter; Allison W Welsh; Daniel E Carvajal; Kurt A Schalper; Malini Harigopal; David L Rimm; Veronique M Neumeister
Journal:  Lab Invest       Date:  2016-06-27       Impact factor: 5.662

  5 in total

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