The application discloses a breast-conserving
surgery perforator flap intelligent
navigation system and method based on CT three-dimensional
blood vessel reconstruction and AI dynamic
blood flow analysis, and comprises an
image processing module. The
image processing module generates a perforator
blood vessel three-dimensional model with an accuracy of plus or minus 0.1 mm based on high-resolution CT thin-layer scanning data with a
layer thickness of less than or equal to 0.625 mm through Mimics
software. The application significantly improves the postoperative outcome of patients through multidimensional technology cooperation. In terms of complication control, the incidence of complications in the donor area is reduced from 22% in the traditional method to 3% (a reduction of 86%), and the expansion of trauma caused by perforator variation is avoided. In terms of aesthetic effect, for the breast-conserving
surgery of medial quadrant
breast cancer, the lateral thoracic
artery perforator flap (LTAP) is combined with AI volume compensation. After the
surgery, the postoperative breast upper pole depression rate is reduced from 35% to 5%, the BREAST-Q
score of the patient is increased from 68 to 89, the requirements of 'tumor
radical treatment' and 'functional aesthetics' are fully considered, the postoperative
life quality of the patient is greatly improved, and the humanistic concept of modern tumor treatment is met.