MIB-1 Index as a Surrogate for Mitosis-Karyorrhexis Index in Neuroblastoma
| Autor: | Yupapin Atikankul, Shanop Shuangshoti, Sakun Santisukwongchote, Taywin Atikankul, Paul S. Thorner, Paula Marrano |
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| Rok vydání: | 2015 |
| Předmět: |
Pathology
medicine.medical_specialty Mitotic index Index (economics) Mitosis Pathology and Forensic Medicine Correlation Neuroblastoma Predictive Value of Tests Image Interpretation Computer-Assisted Mitotic Index Medicine Humans Image analysis neoplasms Automation Laboratory business.industry Surrogate endpoint Antibodies Monoclonal Infant Histology medicine.disease Prognosis Immunohistochemistry Ki-67 Antigen Predictive value of tests Antibodies Antinuclear Child Preschool Linear Models Surgery Anatomy Mitosis-Karyorrhexis Index Nuclear medicine business Mib 1 index |
| Zdroj: | The American journal of surgical pathology. 39(8) |
| ISSN: | 1532-0979 |
| Popis: | Neuroblastoma, the most common extracranial solid tumor in infancy, shows marked biological heterogeneity. Multiple prognostic markers are combined to risk-stratify neuroblastoma patients for treatment. One marker assesses histology, dividing patients into favorable and unfavorable categories based, in part, on the mitosis-karyorrhexis index (MKI). The recommended scoring of 5000 cells is, however, time-consuming and observer-dependent, and accurate counts may not always be performed. In the present study, we investigated using MIB-1 as a surrogate marker for the MKI. Twenty-five cases of neuroblastoma, ranging from low to high MKI, were immunostained for MIB-1. A total of 375 microscopic fields were digitally captured with100,000 cells scored. The MIB-1 index was determined by image analysis and MKI, by manual counting of the same immunostained fields. There was a significant correlation between the MIB-1 index and MKI comparing all fields (r = 0.7869, P0.01) and an even better correlation comparing individual cases (r = 0.9147, P0.01). Using a linear regression model, a formula was generated to calculate MKI from the MIB-1 index as follows: MKI = (MIB-1 index × 0.124) + 1.412. With this formula, a low MKI corresponds to an MIB-1 index4.74, intermediate MKI to an MIB-1 index of 4.74 to 20.87, and high MKI to an MIB-1 index20.87. For comparison, the calculations were repeated using a manual MIB-1 count on the same images. Similar significant correlations were obtained, with nearly identical cutoff values for MKI categories. This approach can facilitate determination of the MKI by assessing the MIB-1 index, either by image analysis or manual counting. |
| Databáze: | OpenAIRE |
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