APPLICATION OF AUTOMATED SYSTEMS FOR ANALYZING PEDIATRIC BRAIN TUMORS: MORPHOLOGY, IHC, AND GENETICS

This study presents the first experience in Uzbekistan using automated platforms to analyze pediatric brain tumors through a combination of histological, immunohistochemical (IHC), and genetic methods. Tissue samples from 98 children (aged 1–17 years) were examined using automated systems (Leica Bond-Max, Ventana Benchmark Ultra). Key markers such as Ki-67, GFAP, OLIG2, Synaptophysin, IDH1, and BRAF V600E were assessed. The integration of digital microscopy, IHC, and PCR-based molecular diagnostics improved diagnostic accuracy and allowed for the identification of biological behavior and prognosis. The study demonstrates the efficiency and reproducibility of automated analysis in pediatric neuro-oncology practice.