Literature DB >> 21732780

Trainable immunohistochemical HER2/neu image analysis: a multisite performance study using 260 breast tissue specimens.

Aziza Nassar1, Cynthia Cohen, Sally S Agersborg, Weidong Zhou, Kathleen A Lynch, Maher Albitar, Edward A Barker, Burton L Vanderbilt, Jim Thompson, Eugene R Heyman, Holger Lange, Allen Olson, Momin T Siddiqui.   

Abstract

CONTEXT: Aperio Technologies, Inc (Vista, California) provides a new immunohistochemistry (IHC) HER2 Image Analysis (IA) system that allows tuning of the intensity thresholds of the HER2/ neu scoring scheme to adapt to the staining characteristics of different reagents.
OBJECTIVE: To compare the trainable IHC HER2 IA system for different reagents to conventional manual microscopy (MM) in a multisite study.
DESIGN: Two hundred sixty formalin-fixed, paraffin-embedded breast cancer specimens from 3 clinical sites were assayed: 180 specimens stained with Dako's HercepTest (Carpinteria, California), and 80 specimens stained with Ventana's PATHWAY HER-2/neu (Tucson, California). At each site, 3 pathologists performed a blinded reading of the glass slides with the use of a light microscope. The glass slides were then scanned and after a wash-out period and randomization, the same pathologists outlined a representative set of tumor regions to be analyzed by IHC HER2 IA. Each of the methods, MM and IA, was evaluated separately and comparatively by using κ statistics of negative HER2/neu scores (0, 1+) versus equivocal HER2/neu scores (2+) versus positive HER2/neu scores (3+) among the different pathologists.
RESULTS: κ Values for IA and MM were obtained across all sites. MM: 0.565-0.864; IA: 0.895-0.947; MM versus IA: 0.683-0.892 for site 1; MM: 0.771-0.837; IA: 0.726-0.917; MM versus IA: 0.687-0.877 for site 2; MM: 0.463-0.674; IA: 0.864-0.918; MM versus IA: 0.497-0.626 for site 3.
CONCLUSION: Aperio's trainable IHC HER2 IA system shows substantial equivalence to MM for Dako's HercepTest and Ventana's PATHWAY HER-2/neu at 3 clinical sites. Image analysis improved interpathologist agreement in the different clinical sites.

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Year:  2011        PMID: 21732780     DOI: 10.5858/2010-0418-OAR1.1

Source DB:  PubMed          Journal:  Arch Pathol Lab Med        ISSN: 0003-9985            Impact factor:   5.534


  12 in total

1.  Image analysis of immunohistochemistry is superior to visual scoring as shown for patient outcome of esophageal adenocarcinoma.

Authors:  Annette Feuchtinger; Tabitha Stiehler; Uta Jütting; Goran Marjanovic; Birgit Luber; Rupert Langer; Axel Walch
Journal:  Histochem Cell Biol       Date:  2014-08-26       Impact factor: 4.304

2.  Whole tumor section quantitative image analysis maximizes between-pathologists' reproducibility for clinical immunohistochemistry-based biomarkers.

Authors:  Michael Barnes; Chukka Srinivas; Isaac Bai; Judith Frederick; Wendy Liu; Anindya Sarkar; Xiuzhong Wang; Yao Nie; Bryce Portier; Monesh Kapadia; Olcay Sertel; Elizabeth Little; Bikash Sabata; Jim Ranger-Moore
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3.  Quantitative Image Analysis of Human Epidermal Growth Factor Receptor 2 Immunohistochemistry for Breast Cancer: Guideline From the College of American Pathologists.

Authors:  Marilyn M Bui; Michael W Riben; Kimberly H Allison; Elizabeth Chlipala; Carol Colasacco; Andrea G Kahn; Christina Lacchetti; Anant Madabhushi; Liron Pantanowitz; Mohamed E Salama; Rachel L Stewart; Nicole E Thomas; John E Tomaszewski; M Elizabeth Hammond
Journal:  Arch Pathol Lab Med       Date:  2019-01-15       Impact factor: 5.534

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6.  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
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Authors:  Brian T Collins; R Cody Weimholt
Journal:  J Pathol Inform       Date:  2015-08-31

8.  Reproducibility in the automated quantitative assessment of HER2/neu for breast cancer.

Authors:  Tyler Keay; Catherine M Conway; Neil O'Flaherty; Stephen M Hewitt; Katherine Shea; Marios A Gavrielides
Journal:  J Pathol Inform       Date:  2013-07-31

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Authors:  Dainius Daunoravicius; Justinas Besusparis; Edvardas Zurauskas; Aida Laurinaviciene; Daiva Bironaite; Sabine Pankuweit; Benoit Plancoulaine; Paulette Herlin; Julius Bogomolovas; Virginija Grabauskiene; Arvydas Laurinavicius
Journal:  Diagn Pathol       Date:  2014-06-09       Impact factor: 2.644

10.  Performance of automated scoring of ER, PR, HER2, CK5/6 and EGFR in breast cancer tissue microarrays in the Breast Cancer Association Consortium.

Authors:  William J Howat; Fiona M Blows; Elena Provenzano; Mark N Brook; Lorna Morris; Patrycja Gazinska; Nicola Johnson; Leigh-Anne McDuffus; Jodi Miller; Elinor J Sawyer; Sarah Pinder; Carolien H M van Deurzen; Louise Jones; Reijo Sironen; Daniel Visscher; Carlos Caldas; Frances Daley; Penny Coulson; Annegien Broeks; Joyce Sanders; Jelle Wesseling; Heli Nevanlinna; Rainer Fagerholm; Carl Blomqvist; Päivi Heikkilä; H Raza Ali; Sarah-Jane Dawson; Jonine Figueroa; Jolanta Lissowska; Louise Brinton; Arto Mannermaa; Vesa Kataja; Veli-Matti Kosma; Angela Cox; Ian W Brock; Simon S Cross; Malcolm W Reed; Fergus J Couch; Janet E Olson; Peter Devillee; Wilma E Mesker; Caroline M Seyaneve; Antoinette Hollestelle; Javier Benitez; Jose Ignacio Arias Perez; Primitiva Menéndez; Manjeet K Bolla; Douglas F Easton; Marjanka K Schmidt; Paul D Pharoah; Mark E Sherman; Montserrat García-Closas
Journal:  J Pathol Clin Res       Date:  2014-12-04
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