The invention discloses a big-data-based design method and
system for a preset screw rod in
spinal surgery, and particularly relates to the technical field of preset screw rod design, and the method comprises the following steps: collecting preoperative medical image data of a target patient, extracting
anatomical feature parameters, and establishing a
surgery fixing instrument
database containing historical
patient data and implanted instrument parameters; evaluating the degree of
adaptation between the standard nail rod and the anatomical structure of the patient and the postoperative
fixation stability, dividing the patient matching grade based on the
evaluation result, screening patient groups with similar
anatomical structures and biomechanical characteristics by adopting a clustering
analysis method, and calculating a personalized customization
data set in combination with the individual parameters of the target patient; according to the method, the structural
adaptation index and the biomechanical
adaptation index are adopted, it is ensured that the matching performance of fixing instruments can be judged before an operation, when the standard screw rod is not suitable, the personalized customization process can be automatically triggered, the judgment deviation of a doctor is reduced, and the accuracy of customized screw design is improved.