KO‘KRAK BEZI SARATONINING MOLEKULYAR SUBTIPLARINI PROGNOZ QILISHDA MULTIPARAMETRIK MRT VA SUN’IY INTELLEKT MODELLARINING INTEGRATSIYASI
DOI:
https://doi.org/10.5281/zenodo.21071215Keywords:
ko‘krak bezi saratoni, multiparametrik MRT, sun’iy intellekt, radiomika, mashinaviy o‘qitish, molekulyar subtiplar.Abstract
Ko‘krak bezi saratoni ayollar orasida eng ko‘p uchraydigan xavfli o‘smalardan biridir. Molekulyar subtiplarni
aniqlash davolash usulini tanlash va kasallik prognozini baholashda muhim ahamiyatga ega. So‘nggi yillarda multiparametrik
magnit-rezonans tomografiya (mpMRT) va sun’iy intellekt (SI) texnologiyalarining rivojlanishi bu jarayonni invaziv
bo‘lmagan usulda amalga oshirish imkonini bermoqda.
Ushbu tadqiqotning maqsadi ko‘krak bezi saratonining molekulyar subtiplarini prognoz qilishda multiparametrik MRT va
sun’iy intellekt modellarining diagnostik samaradorligini baholashdan iborat.
Tadqiqotga gistologik jihatdan tasdiqlangan ko‘krak bezi saratoni bilan kasallangan 240 nafar bemor jalb qilindi. Barcha
bemorlarda T1- va T2-vaznli tasvirlar, diffuziya-vaznli MRT (DWI) hamda dinamik kontrast kuchaytirilgan MRT (DCE-MRI)
o‘tkazildi. Olingan radiomik xususiyatlar asosida Random Forest, Support Vector Machine (SVM) va XGBoost algoritmlari
yordamida molekulyar subtiplar prognoz qilindi.
Natijalar multiparametrik MRT va sun’iy intellekt modellarini birgalikda qo‘llash ko‘krak bezi saratonining molekulyar subtiplarini
aniqlash samaradorligini oshirish imkonini berishini ko‘rsatdi. Ushbu yondashuv shaxsiylashtirilgan davolash rejasini
tuzishda samarali vosita bo‘lishi mumkin
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