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      "Score the Core" Web-based pathologist training tool improves the accuracy of breast cancer IHC4 scoring.

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          Abstract

          Hormone receptor status is an integral component of decision-making in breast cancer management. IHC4 score is an algorithm that combines hormone receptor, HER2, and Ki-67 status to provide a semiquantitative prognostic score for breast cancer. High accuracy and low interobserver variance are important to ensure the score is accurately calculated; however, few previous efforts have been made to measure or decrease interobserver variance. We developed a Web-based training tool, called "Score the Core" (STC) using tissue microarrays to train pathologists to visually score estrogen receptor (using the 300-point H score), progesterone receptor (percent positive), and Ki-67 (percent positive). STC used a reference score calculated from a reproducible manual counting method. Pathologists in the Athena Breast Health Network and pathology residents at associated institutions completed the exercise. By using STC, pathologists improved their estrogen receptor H score and progesterone receptor and Ki-67 proportion assessment and demonstrated a good correlation between pathologist and reference scores. In addition, we collected information about pathologist performance that allowed us to compare individual pathologists and measures of agreement. Pathologists' assessment of the proportion of positive cells was closer to the reference than their assessment of the relative intensity of positive cells. Careful training and assessment should be used to ensure the accuracy of breast biomarkers. This is particularly important as breast cancer diagnostics become increasingly quantitative and reproducible. Our training tool is a novel approach for pathologist training that can serve as an important component of ongoing quality assessment and can improve the accuracy of breast cancer prognostic biomarkers.

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          Author and article information

          Journal
          Hum. Pathol.
          Human pathology
          Elsevier BV
          1532-8392
          0046-8177
          Nov 2015
          : 46
          : 11
          Affiliations
          [1 ] Center for Comparative Medicine, University of California Davis, Davis, CA 95616. Electronic address: jesse.engelberg@gmail.com.
          [2 ] School of Medicine, University of California San Francisco, San Francisco, CA 94143.
          [3 ] Department of Pathology, University of California San Francisco, San Francisco, CA 94143.
          [4 ] Centre for Molecular Pathology, Royal Marsden Hospital, London, SW3 6JJ United Kingdom.
          [5 ] Institute of Cancer Research, London, SM2 5NG United Kingdom.
          [6 ] Center for Comparative Medicine, University of California Davis, Davis, CA 95616.
          [7 ] Department of Pathology, University of California Los Angeles, Los Angeles, CA 90404.
          [8 ] Department of Pathology, University of California Davis, Davis, CA 95616.
          [9 ] Department of Pathology, University of California Irvine, Orange, CA 92697.
          [10 ] Department of Pathology, University of California San Diego, San Diego, CA 92093.
          Article
          S0046-8177(15)00256-7
          10.1016/j.humpath.2015.07.008
          26410019
          1068c504-e362-422e-9665-75b725dea00f
          History

          Immunohistochemistry,IHC4,Digital microscopy,Breast cancer,Whole-slide imaging,Training,Pathology education

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