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 D. Gocke; Kathleen H. Burns; Michael J. Borowitz; Toby C. Cornish; Amy S. Duffield

doi:10.1309/AJCPTMA1F6LWYTQV

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

School of Medicine

Research output: Contribution to journal › Article › peer-review

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 language	English (US)
Pages (from-to)	579-587
Number of pages	9
Journal	American journal of clinical pathology
Volume	140
Issue number	4
DOIs	https://doi.org/10.1309/AJCPTMA1F6LWYTQV
State	Published - 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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10.1309/AJCPTMA1F6LWYTQV

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Samols, M. A., Smith, N. E., Gerber, J. M., Vuica-Ross, M., Gocke, C. D., Burns, K. H., Borowitz, M. J., Cornish, T. C., & Duffield, A. S. (2013). Software-automated counting of Ki-67 proliferation index correlates with pathologic grade and disease progression of follicular lymphomas. American journal of clinical pathology, 140(4), 579-587. https://doi.org/10.1309/AJCPTMA1F6LWYTQV

Software-automated counting of Ki-67 proliferation index correlates with pathologic grade and disease progression of follicular lymphomas. / Samols, Mark A.; Smith, Nathan E.; Gerber, Jonathan M.; Vuica-Ross, Milena; Gocke, Christopher D.; Burns, Kathleen H.; Borowitz, Michael J.; Cornish, Toby C.; Duffield, Amy S.

In: American journal of clinical pathology, Vol. 140, No. 4, 10.2013, p. 579-587.

Research output: Contribution to journal › Article › peer-review

Samols, MA, Smith, NE, Gerber, JM, Vuica-Ross, M, Gocke, CD , Burns, KH , Borowitz, MJ, Cornish, TC & Duffield, AS 2013, 'Software-automated counting of Ki-67 proliferation index correlates with pathologic grade and disease progression of follicular lymphomas', American journal of clinical pathology, vol. 140, no. 4, pp. 579-587. https://doi.org/10.1309/AJCPTMA1F6LWYTQV

Samols, Mark A. ; Smith, Nathan E. ; Gerber, Jonathan M. ; Vuica-Ross, Milena ; Gocke, Christopher D. ; Burns, Kathleen H. ; Borowitz, Michael J. ; Cornish, Toby C. ; Duffield, Amy S. / Software-automated counting of Ki-67 proliferation index correlates with pathologic grade and disease progression of follicular lymphomas. In: American journal of clinical pathology. 2013 ; Vol. 140, No. 4. pp. 579-587.

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

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.",

keywords = "Automated counting, Follicular lymphoma, Histologic grade, Ki-67, Proliferation index, Quantitation",

author = "Samols, {Mark A.} and Smith, {Nathan E.} and Gerber, {Jonathan M.} and Milena Vuica-Ross and Gocke, {Christopher D.} and Burns, {Kathleen H.} and Borowitz, {Michael J.} and Cornish, {Toby C.} and Duffield, {Amy S.}",

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AU - Smith, Nathan E.

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AU - Gocke, Christopher D.

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AU - Borowitz, Michael J.

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AB - 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.

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