MIB-1 counting methods in meningiomas and agreement among pathologists.

Abstract

OBJECTIVE:

To evaluate the correlation of MIB-1 labeling index (LI) obtained by 2 counting methods with histologic grade and investigate interobserver variability between these methods.

STUDY DESIGN:

A total of 65 meningiomas were analyzed for proliferation with 2 counting methods by 2 pathologists using MIB-1 antibody. In the first method, the most densely staining areas were counted (HL method). In the second method, randomly selected areas were counted (RS method).

RESULTS:

MIB-1 values correlated well with histologic grade in both methods. As expected, the tumors with recurrence had significantly higher LIs than the nonrecurrent tumors in each method. However, there was a statistically significant difference in the mean MIB-1 values of between the HL and RS methods. When MIB-1 LI was compared between 2 pathologists, perfect agreement in the HL method and substantial agreement in the RS method were achieved.

CONCLUSION:

Our results showed that values of MIB LIs differ with different counting methods. Nonetheless, both methods showed good correlation with World Health Organization grades. Therefore standardization of 1 counting method is of great importance for determining a reliable and specific cutoff value in assessing the risk of recurrence in meningiomas.

• Authors: Turkan Rezanko, Asli Kahraman Akkalp, Mine Tunakan, Aysegul Akder Sari
• Journal: Analytical and quantitative cytology and histology (Anal Quant Cytol Histol) Vol. 30 Issue 1 Pg. 47-52 (Feb 2008) United States
• PMID: 18459587 (Publication Type: Evaluation Study, Journal Article)

Chemical References

• Antibodies, Antinuclear
• Antibodies, Monoclonal
• Ki-67 Antigen
• MIB-1 antibody

Topics

• Antibodies, Antinuclear
• Antibodies, Monoclonal
• Humans
• Ki-67 Antigen (analysis)
• Meningeal Neoplasms (diagnosis, pathology)
• Meningioma (diagnosis, pathology)
• Neoplasm Recurrence, Local
• Observer Variation
• Prognosis
• Reproducibility of Results
• Sensitivity and Specificity