QUANTITATIVE ASSESSMENTS OF FIRMNESS AND AUTOMATIC OPTIMIZATION METHODS OF TRAJECTORY FOR PEDICLE SCREWS

Abstract

Pedicle screw placement is a common internal fixation technology used in spine surgery, with preoperative planning and assessment being one of the most important steps. Preoperative planning mainly refers to determining the path and parameters of screws, and preoperative assessment mainly refers to effects during and after operations (i.e., firmness, etc.). Technologies available at present lack effective quantitative assessments on the firmness of screws. Bone mineral density (BMD) is one of the most important influencing factors for firmness. To address the aforementioned problems, this study aimed to put forward quantitative assessments for the firmness of pedicle screws taking bone mass as the basis. In other words, quantitative assessments of the firmness of screw trajectories were made by computing the total mineral content of the bone supporting screws. Meanwhile, the quantitative assessment results of the firmness were used as the optimized objective functions to put forward and realize an automatic planning optimization method for screw trajectories. The findings of this study might provide more complete and simplified planning schemes for doctors, to enhance the postoperative firmness of screws effectively, prevent from issues such as the loosening of screws due to the low value of a patient’s bone mass, and promote the effects of operations.