Application of Automated Systems for Analyzing Pediatric Brain Tumors: Morphology, Ihc, and Genetics
Year: 2025
Type: article
Abstract: 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.
Authors: Tashmatov, Suxrob, Magrupov, Baxodir
Language: English
Subfield: Genetics
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W6930728560
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