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Computer-assisted and visual methods of assessing cellular proliferation in tissue sections from non-Hodgkin's
J B Hendricks1, R Rainer, S Munakata
1Department of Pathology and Laboratory Medicine, University of Florida Diagnostic Referral Laboratories, Gainesville, 32610-0275 USA.
Analytical and Quantitative Cytology and Histology
|December 1, 1995
Summary
Computer-assisted and visual methods for assessing cell proliferation in non-Hodgkin's lymphoma (NHL) showed agreement for Ki-67 but not for AgNORs, suggesting potential discrepancies in quantitative analysis techniques.
Area of Science:
- Oncology
- Pathology
- Biomedical Imaging
Background:
- Cellular proliferation assessment is crucial for diagnosing and grading Non-Hodgkin's Lymphoma (NHL).
- Traditional visual inspection methods for quantifying cellular markers like Ki-67 and argyrophilic nucleolar organizer regions (AgNORs) can be subjective.
- Quantitative image analysis offers a potentially more objective approach to assessing cellular proliferation.
Purpose of the Study:
- To compare the accuracy and reliability of computer-assisted quantitative image analysis versus classic visual inspection for assessing cellular proliferation in NHL tissue sections.
- To evaluate the concordance between these two methods for two distinct proliferation markers: Ki-67 and AgNORs.
Main Methods:
- The study analyzed 20 NHL tissue specimens (10 indolent, 10 aggressive).
- Serial sections were stained for Ki-67 (MIB1) and AgNORs.
- Cellular labeling and counts were assessed using both traditional visual methods and quantitative image analysis software.
Main Results:
- Both computer-assisted and visual methods showed significantly higher Ki-67 labeling indices in aggressive NHL compared to indolent NHL, with a strong linear correlation (r = .850) between the two assessment methods.
- While both methods indicated higher AgNOR counts in aggressive NHL, the correlation between visual and computer-assisted AgNOR counts was not statistically significant (r = .407).
- A significant correlation was found between visual Ki-67 labeling index and visual AgNOR count (r = .630), but not between other combined method pairings.
Conclusions:
- Computer-assisted and visual methods may not yield comparable results for assessing cellular proliferation markers like AgNORs in NHL.
- Discrepancies may arise from the specific analysis method employed, including the chosen computer-assisted technique.
- Further validation is needed to establish the reliability of quantitative image analysis for all proliferation markers in NHL diagnostics.
