2007
DOI: 10.1007/s10549-007-9736-z
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Automated quantitative analysis of estrogen receptor expression in breast carcinoma does not differ from expert pathologist scoring: a tissue microarray study of 3,484 cases

Abstract: Fully automated quantitation of ER immunostaining yields results that do not differ from human scoring against both biochemical assay and patient outcome gold standards.

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Cited by 93 publications
(77 citation statements)
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References 31 publications
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“…In 1 study, carcinomas were scored as 0 (<1% positive), 1 (1% to 25% positive), 2 (>25% to 75% positive), and 3 (>75% positive). 44 The same results were obtained when scored by visual analysis or by image analysis. The proportion of positive cells correlated with the results of the biochemical assay and with prognosis.…”
Section: No Immunoreactive Tumor Cells Presentsupporting
confidence: 64%
“…In 1 study, carcinomas were scored as 0 (<1% positive), 1 (1% to 25% positive), 2 (>25% to 75% positive), and 3 (>75% positive). 44 The same results were obtained when scored by visual analysis or by image analysis. The proportion of positive cells correlated with the results of the biochemical assay and with prognosis.…”
Section: No Immunoreactive Tumor Cells Presentsupporting
confidence: 64%
“…Several groups have targeted this dilemma by developing automated image analysis techniques with excellent correlations to manual scoring. [6][7][8][9] Our group has previously reported that b-microseminoprotein (MSMB) and the MSMB-binding protein cysteine-rich secretory protein-3 (CRISP3) are independent predictors of patient outcome after radical prostatectomy.…”
mentioning
confidence: 99%
“…The quantitative analysis studies from specialized literature bring relatively few data on the optimisation of the quantitative analysis. A similar optimisation study showed that the automated data generated by the software are not different from those quantified manually by anatomical pathologists [20]. Studies which strictly refer to cut-off placing [21] are insufficient, which makes our study important for the optimisation of the method by generating statistically analysable objective data.…”
Section: Discussionmentioning
confidence: 78%