Meeting Banner
Abstract #1285

Biological mechanisms underlying prognostic radiomic models based on dynamic susceptibility contrast perfusion-weighted imaging in gliomas

Jing Yan1 and Chaoli Zhang1
1Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China

Synopsis

Keywords: Diagnosis/Prediction, Diagnosis/Prediction

Motivation: The biological mechanisms underlying DSC-PWI-based prognostic radiomic models remain poorly understood.

Goal(s): To uncover the biological basis of prognostic radiomic models in glioma patients using paired DSC-PWI and RNA-seq data.

Approach: A radiomic risk signature (RRS) for overall survival prediction was developed using preoperative DSC-PWI. Gene Set Enrichment Analysis and Weighted Gene Co-expression Network Analysis were employed to identify biological pathways associated with the RRS and individual prognostic radiomic features, utilizing both DSC-PWI and RNA-seq data.

Results: The RRS independently predicted patient survival. The biological basis of prognostic radiomic models involve key pathways related to angiogenesis-hypoxia, immunity and proliferation.

Impact: Our work presents an accurate and biologically meaningful tool for survival prediction in gliomas, facilitating personalized clinical decision-making through a non-invasive approach.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.

Keywords