Comparative Study between Quantitative Digital Image Analysis and Fluorescence In Situ Hybridization of Breast Cancer Equivocal HER2 2+ Cases

Ayad, Essam; Mansy, Mina; Elwi, Dalal; Salem, Mahmoud; Salama, Mohamed E.; Kayser, Karen

doi:10.1155/2014/608254

Cited by 2 publications

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“…Differences in slide colour may also have serious implications for the reproducibility of image analysis algorithms. There are numerous papers suggesting algorithms for digital analysis of immunostains, but only a handful consider the huge implications for colour variation in WSI . Gavrielides et al .…”

Section: Colour Variation In Pathologymentioning

confidence: 99%

Colour in digital pathology: a review

Clarke

Treanor

2016

Histopathology

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Conflict of Interest Statement:We declare the following interests: Author DT is on the advisory board of Sectra and Leica/ Aperio. He receives no personal remuneration for these boards. DT has had a collaborative research project with FFEI, where technical staff were funded by them. He received no personal remuneration. DT is a co-inventor on a digital pathology patent which has been assigned to Roche-Ventana on behalf of his employer. He will receive no personal remuneration. Word Count: 4628Page 3 of 38 AbstractColour is central to the practice of pathology because of the use of coloured histochemical and immunohistochemical stains to visualise tissue features. Our reliance on histochemical stains and light microscopy has evolved alongside a wide variation in slide colour with little investigation into the implications of colour variation.However, the introduction of the digital microscope and whole slide imaging has highlighted the need for further understanding and control of colour. This is because the digitisation process itself introduces further colour variation which may affect diagnosis, and image analysis algorithms often use colour or intensity measures to detect or measure tissue features. The US Food and Drug Administration have released recent guidance stating the need to develop a method of controlling colour reproduction throughout the digitisation process in whole slide imaging for primary diagnostic use.This comprehensive review introduces applied basic colour physics and colour interpretation by the human visual system, before discussing the importance of colour in pathology. The process of colour calibration and its application to pathology are also included as well as a summary of the current guidelines and recommendations regarding colour in digital pathology.

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Section: Colour Variation In Pathologymentioning

confidence: 99%

Colour in digital pathology: a review

Clarke

Treanor

2016

Histopathology

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“…For these reasons, assessment of HER2 status by DIA has been studied extensively, and many studies have shown results consistent with visual scoring [16][17][18][19][20] and FISH [13,19,20]. A number of studies [13,14,16,21] conclude that digital image analysis reduces the need for reflex FISH analysis by lowering the number of equivocal cases (2+). In one recent study assessing the concordance with PAM50 gene expression assays, DIA was found to outperform manual microscopy of biomarkers in breast cancer [22].…”

Section: Her2 Assessment By Diamentioning

confidence: 99%

Comparison between digital image analysis and visual assessment of immunohistochemical HER2 expression in breast cancer

Jakobsen

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Background: Assessment of HER2 status is considered standard of care in the histopathologic workup of breast cancer and conveys prognostic and predictive information used to guide treatment decisions. The assessment is often carried out in a two-step approach where immunohistochemical expression of HER2 protein is first evaluated by conventional microscopy and equivocal cases are further analyzed by in-situ hybridization techniques to assess gene amplification status. Methods: In this study we compared conventional manual assessment of immunohistochemical HER2 expression with digital image analysis (DIA) and consensus manual assessment by a panel of three pathologists. From our archive we retrieved sections of 109 breast carcinomas stained for HER2 with corresponding HER2 score from the original pathology report. The glass slides were assessed by three pathologists to reach a consensus score. Next, the slides were scanned into whole slide images and DIA was performed using Aperio Imagescope. The scoring results were then compared with gene amplification status evaluated by dual in-situ hybridization (DISH). Results: Comparing manual assessment with consensus assessment and DIA, good agreement was obtained with weighted kappa coefficients of 0.79 (manual vs. consensus) and 0.71 (manual vs. DIA). When compared with gene status assessment by DISH, agreement analysis yielded weighted kappa coefficients of 0.56 (manual vs. DISH), 0.59 (consensus vs. DISH) and 0.78 (DIA vs. DISH). There were no false negatives by any of the three methods and false positives ranging from 0.9 - 2.8%. The proportion of equivocal cases by each method was 44% (manual), 33.3% (consensus) and 14.7% (DIA). Application of DIA reduced the number of equivocal cases by 67% without increasing the proportion of false negatives. Conclusion: We conclude that DIA is an accurate method to reduce the number of HER2 equivocal cases without affecting the sensitivity of the HER2 assessment.

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Comparative Study between Quantitative Digital Image Analysis and Fluorescence In Situ Hybridization of Breast Cancer Equivocal HER2 2+ Cases

Cited by 2 publications

References 0 publications

Colour in digital pathology: a review

Colour in digital pathology: a review

Comparison between digital image analysis and visual assessment of immunohistochemical HER2 expression in breast cancer

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