Software-automated counting of Ki-67 proliferation index correlates with pathologic grade and disease progression of follicular lymphomas

Mark A. Samols, Nathan E. Smith, Jonathan M. Gerber, Milena Vuica-Ross, Christopher Gocke, Kathleen Burns, Michael J Borowitz, Toby C. Cornish, Amy S Duffield

Research output: Contribution to journalArticle

Abstract

Objectives: To examine the accuracy of software-assisted measurement of the Ki-67 proliferation index (PI) and its correlation with the grade and clinical progression of follicular lymphoma (FL). Methods: High-power field equivalents were extracted from H&E-and Ki-67-immunostained slides of FL, and a nuclear quantitation algorithm was used to calculate a PI. Representative fields were manually counted for validation with close agreement. Results: The PI was significantly higher in World Health Organization grade 3 FL than grade 1 to 2 FL. Disease progression, as defined by subsequent treatment with radiation or cytotoxic chemotherapy, was also significantly associated with elevated PI but not pathologic grade. Conclusions: These data show that software-automated quantitation of Ki-67 can provide both a useful adjunct to pathologic grade in FL and improved prognostic information for patients.

Original languageEnglish (US)
Pages (from-to)579-587
Number of pages9
JournalAmerican Journal of Clinical Pathology
Volume140
Issue number4
DOIs
Publication statusPublished - Oct 2013

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Keywords

  • Automated counting
  • Follicular lymphoma
  • Histologic grade
  • Ki-67
  • Proliferation index
  • Quantitation

ASJC Scopus subject areas

  • Pathology and Forensic Medicine

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