This invention provides a method and
system for predicting the risk of aortic remodeling after
aortic dissection, comprising the following steps: receiving CTA images of the patient's chest and
abdomen at multiple time points, such as preoperative and short or mid-operative postoperatively, and obtaining aortic segmentation results based on the CTA images; obtaining the
displacement field of each
voxel point between the two time points based on the aortic segmentation results, and obtaining vascular deformation mapping results based on the
displacement field; extracting multi-dimensional features from the three-dimensional aortic segmentation model and the vascular deformation mapping results respectively; and predicting the risk of adverse aortic remodeling after
surgery based on the multi-dimensional features. The beneficial effects of this invention are: by comprehensively utilizing multi-dimensional, dynamic, and static features, the prediction model constructed by this invention theoretically has higher discrimination and calibration than existing single-index models. Therefore, this invention can detect early, local abnormal deformations that cannot be detected by traditional
diameter measurement, significantly advancing the
risk identification time point.