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 Michael Gerber, Milena Vuica, Christopher D. Gocke, Kathleen H. Burns, Michael J. Borowitz, Toby C Cornish, Amy S Duffield

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

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
StatePublished - Oct 2013

Keywords

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

ASJC Scopus subject areas

  • Pathology and Forensic Medicine

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