A spinal pedicle screw implantation method based on tactile warning and related products

By constructing an individualized vertebral finite element model and using intelligent screw sensor monitoring, combined with intraoperative fluoroscopic images for real-time stress assessment, the safety issues during pedicle screw implantation were resolved, achieving precise and safe operation that shifts from reliance on manual touch to data-driven approaches.

CN122096943APending Publication Date: 2026-05-29THE FIRST AFFILIATED HOSPITAL OF GUANGZHOU UNIV OF CHINESE MEDICINE
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Patent Information

Application Number
CN202610498948.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-15
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

In spinal orthopedic surgery, the lack of real-time, quantitative mechanical feedback during pedicle screw implantation can lead to serious consequences such as fractures of the medial wall of the pedicle and nerve damage. Existing technologies make it difficult to achieve real-time monitoring and early warning of stress at the pedicle screw-vertebral bone interface.

Method used

An individualized vertebral finite element model is constructed based on the patient's preoperative spinal CT images to simulate the interaction forces during pedicle screw implantation. A smart screw sensor is used to monitor real-time stress and issue an alarm when the stress approaches a safety threshold. The model is then combined with intraoperative fluoroscopic images to make assessment decisions and adjust the screw placement direction, thus achieving closed-loop feedback control.

Benefits of technology

By combining predictive finite element analysis with empirical real-time measurement, individualized stress safety warnings are provided, improving the safety of spinal pedicle screw implantation surgery and reducing intraoperative risks.

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Abstract

The application provides a spinal pedicle screw implantation method based on tactile early warning and related products, which can greatly improve the safety of spinal pedicle screw implantation surgery, and comprises the following steps: constructing an individualized vertebral finite element model of a patient based on preoperative spinal CT images of the patient, simulating and analyzing the interaction force between the pedicle screw and the bone wall during the implantation of the pedicle screw into the spine of the patient, and obtaining an individualized theoretical safety stress threshold of the pedicle screw implantation path; when the real-time stress of the current pedicle screw during the implantation of the pedicle screw into the spine of the patient in the surgery is close to or touches the individualized theoretical safety stress threshold, the intelligent screw sensor sends a safety warning and temporarily suspends the implantation of the pedicle screw, and the implantation direction of the pedicle screw is adjusted; the implantation condition of the current pedicle screw is evaluated and decided based on the intraoperative fluoroscopy image, a decision result is obtained, the real-time stress is monitored again during the operation based on the decision result, and all the implantation and fixation of the pedicle screws are completed until the operation is finished.
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