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

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Выпуск: Том 4 № 11 : Наука и технология в современном мире
Раздел: Статьи
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"National Children's Medical Center" Children's Neurosurgery Department, Parkent Street, 294, Tashkent, Uzbekistan, 1001711
info@in-academy.uz
Center for the Development of Professional Qualification of Medical Workers, Department of Pathological Anatomy and Forensic Medicine
info@in-academy.uz

Аннотация:

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.

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Как цитировать:

Tashmatov , S., & Magrupov , B. (2025). APPLICATION OF AUTOMATED SYSTEMS FOR ANALYZING PEDIATRIC BRAIN TUMORS: MORPHOLOGY, IHC, AND GENETICS. Наука и технология в современном мире, 4(11), 120–121. извлечено от https://www.in-academy.uz/index.php/zdift/article/view/52324

Библиографические ссылки:

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