This application discloses a method and
system for microvascular
anastomosis modeling and effect prediction in assisted spermatic cord
anastomosis, relating to the field of
data processing technology. The method includes: extracting the pampiniform
plexus topology and
varicose vein segments from a three-dimensional vascular tree model of the spermatic veins constructed based on spermatic cord vessel images; determining candidate diversion inlet locations based on the spatial adjacency relationship between the obstructed
reflux nodes identified by the
varicose vein segments and the pampiniform
plexus topology; spatially registering the contour of the inferior epigastric
vein segmented from the
superficial vein images of the inguinal region with the candidate diversion inlet locations to generate a diversion
anastomosis path planning map; constructing the
geometric configuration of the end-to-side anastomosis and performing hemodynamic
simulation to generate a
wall shear stress distribution field, assess the
thrombosis tendency of the end-to-side anastomosis, and generate a postoperative patency rate prediction value. This application can predict the risk of
thrombosis preoperatively through hemodynamic
simulation, providing a reliable basis for
surgical planning and effectively improving the success rate of the
surgery.