Radiomics-based prediction of intraoperative bleeding rate during intracranial meningiomas surgery

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).