Radiomics And Radiogenomics In Ovarian Cancer: A Review With A Focus On Ultrasound Applications

    November 2025 in “ Cancer Imaging
    Yiyang Huang, Wangrui Peng, Huai Yang, Zichao Liu, Tingyu Zhang, Linyuan Jin, Wen He, Meng Du, Zhiyi Chen
    TLDR Ultrasound-based radiomics and radiogenomics can improve ovarian cancer diagnosis and treatment, but need better standardization and AI tools.
    This review explores the potential of radiomics and radiogenomics, particularly through ultrasound applications, in enhancing the management of ovarian cancer (OC). These technologies, driven by artificial intelligence, aim to improve diagnostic accuracy and support personalized treatment by integrating imaging features with genomic data. Ultrasound-based radiomics offers real-time virtual biopsy capabilities and cost-effectiveness, aiding in differentiating tumor types and assessing metastatic risks. Despite challenges like standardizing imaging protocols and high costs, advancements in 3D ultrasound and therapeutic technologies could address these issues. The study emphasizes the need for structured frameworks and further validation in larger cohorts to fully realize the potential of ultrasound radiogenomics in precision oncology.
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