Meeting Banner
Abstract #3533

Association of MRI-derived radiomic biomarker with disease-free survival in patients with early-stage cervical cancer

Jin Fang1, Bin Zhang1, Shuo Wang2, and Shuixing Zhang1
1The First Affiliated Hospital of Jinan University, Guangzhou, China, 2Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China

Radiomics is a promising methodology that automatically extracts high-dimensional features from imaging data for supplementary evaluation of prognosis. Herein, we developed radiomic signature based on pretreatment MRI, which can be used as a biomarker for risk stratification for disease-free survival (DFS) in patients with early-stage cervical cancer. This study provides a non-invasive and cost-effective preoperative predictive tool to identify the early stage cervical cancer patients with high possibility of recurrence or metastasis; and they may help to determine whether more intensive observation and aggressive treatment regimens should be administered, aim at assisting clinical treatment and healthcare decisions.

This abstract and the presentation materials are available to members only; a login is required.

Join Here