Keywords: Tumors (Pre-Treatment), Tumor
Motivation: The usefulness of radiomics in predicting intraoperative bleeding rate remains underestimated. Our objective was to examine the potential of radiomic characteristics to predict the intraoperative bleeding rate in patients with intracranial meningiomas.
Goal(s): Как To predict intraoperative bleeding rate in patients with intracranial meningiomas using radiomics, machine learning and regression methods.
Approach: Brain 3T MRI was performed with subsequent tumor segmentation and radiomics analysis.
Results: The combination of six ADC- and ASL-based radiomics features allowed us to predict the intraoperative bleeding rate with raw residuals estimation -23 (-101; 68) (Me (1; 3 quantile)) in patients with intracranial meningiomas.
Impact: Our results provide an additional non-invasive tool for the evaluation of meningiomas, which potentially could impact the treatment tactic(for example, making a decision about performing a pre-surgicalembolization in cases with high-risk).
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.
Keywords