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Implementation of Digital Image Analysis in Assessment of Ki67 Index in Breast Cancer.
Vanderschelden, Rachel K; Jerome, Jacob A; Gonzalez, Daniel; Seigh, Lindsey; Carter, Gloria J; Clark, Beth Z; Elishaev, Esther; Louis Fine, Jeffrey; Harinath, Lakshmi; Jones, Mirka W; Villatoro, Tatiana M; Soong, Thing Rinda; Yu, Jing; Zhao, Chengquan; Hartman, Doug; Bhargava, Rohit.
Afiliação
  • Vanderschelden RK; Department of Pathology, University of Pittsburgh, UPMC Magee-Womens Hospital.
  • Jerome JA; Department of Pathology, University of Pittsburgh, UPMC Magee-Womens Hospital.
  • Gonzalez D; Department of Pathology, University of Pittsburgh Medical Center, Pittsburgh, PA.
  • Seigh L; Department of Pathology, University of Pittsburgh Medical Center, Pittsburgh, PA.
  • Carter GJ; Department of Pathology, University of Pittsburgh, UPMC Magee-Womens Hospital.
  • Clark BZ; Department of Pathology, University of Pittsburgh, UPMC Magee-Womens Hospital.
  • Elishaev E; Department of Pathology, University of Pittsburgh, UPMC Magee-Womens Hospital.
  • Louis Fine J; Department of Pathology, University of Pittsburgh, UPMC Magee-Womens Hospital.
  • Harinath L; Department of Pathology, University of Pittsburgh, UPMC Magee-Womens Hospital.
  • Jones MW; Department of Pathology, University of Pittsburgh, UPMC Magee-Womens Hospital.
  • Villatoro TM; Department of Pathology, University of Pittsburgh, UPMC Magee-Womens Hospital.
  • Soong TR; Department of Pathology, University of Pittsburgh, UPMC Magee-Womens Hospital.
  • Yu J; Department of Pathology, University of Pittsburgh, UPMC Magee-Womens Hospital.
  • Zhao C; Department of Pathology, University of Pittsburgh, UPMC Magee-Womens Hospital.
  • Hartman D; Department of Pathology, University of Pittsburgh Medical Center, Pittsburgh, PA.
  • Bhargava R; Department of Pathology, University of Pittsburgh, UPMC Magee-Womens Hospital.
Appl Immunohistochem Mol Morphol ; 32(1): 17-23, 2024 01 01.
Article em En | MEDLINE | ID: mdl-37937544
ABSTRACT
The clinical utility of the proliferation marker Ki67 in breast cancer treatment and prognosis is an active area of research. Studies have suggested that differences in pre-analytic and analytic factors contribute to low analytical validity of the assay, with scoring methods accounting for a large proportion of this variability. Use of standard scoring methods is limited, in part due to the time intensive nature of such reporting protocols. Therefore, use of digital image analysis tools may help to both standardize reporting and improve workflow. In this study, digital image analysis was utilized to quantify Ki67 indices in 280 breast biopsy and resection specimens during routine clinical practice. The supervised Ki67 indices were then assessed for agreement with a manual count of 500 tumor cells. Agreement was excellent, with an intraclass correlation coefficient of 0.96 for the pathologist-supervised analysis. This study illustrates an example of a rapid, accurate workflow for implementation of digital image analysis in Ki67 scoring in breast cancer.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama Limite: Female / Humans Idioma: En Revista: Appl Immunohistochem Mol Morphol Assunto da revista: BIOLOGIA MOLECULAR / HISTOCITOQUIMICA Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama Limite: Female / Humans Idioma: En Revista: Appl Immunohistochem Mol Morphol Assunto da revista: BIOLOGIA MOLECULAR / HISTOCITOQUIMICA Ano de publicação: 2024 Tipo de documento: Article