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Herein, we present a "Nine-grid Area Division Method" for percutaneous vertebroplasty. A patient with an L1 vertebral compression fracture was selected as a case study.
Percutaneous vertebroplasty (PVP) is widely recognized as an efficacious intervention for alleviating low back pain resulting from osteoporotic vertebral compression fractures. The ideal bone puncture point is conventionally situated at the projection "left 10 points, right 2 points" of the pedicle in the lumbar spine. Determining the optimal bone puncture point represents a critical and complex challenge. The accuracy of percutaneous vertebroplasty (PVP) is primarily influenced by the proficiency of the operating surgeons and the utilization of multiple fluoroscopes during the conventional procedure. Incidences of puncture-related complications have been documented globally. In an effort to enhance the precision of the surgical technique and reduce the occurrence of puncture-related complications, our team applied the "Nine-grid Area Division Method" for PVP in the lumbar spine to modify the traditional procedure. There is potential to decrease the number of puncture times, the radiation exposure dosage, and the duration of surgical procedures.
This protocol introduces the definition of the "Nine-grid Area Division Method" and describes the process of modeling target vertebrae DICOM imaging data within medical imaging processing software, simulating operations within a 3-D model, refining the 3-D model using reverse engineering production software, reconstructing the vertebral engineering model within 3-D modeling design software, and utilizing surgical data to determine safe entry regions for pedicle projection. By employing this methodology, surgeons can effectively identify appropriate puncture points with precision and ease, thereby reducing the intricacies associated with puncturing and enhancing the overall accuracy of surgical procedures.
Osteoporotic vertebral compression fracture (OVCF) is the most prevalent type of fracture among osteoporotic fractures and poses a significant clinical concern in contemporary healthcare1. According to current guidelines, percutaneous vertebroplasty is recognized as one of the most efficacious minimally invasive treatment modalities for OVCF2. The predominant method for performing percutaneous vertebroplasty (PVP) involves the pedicle puncture approach, which encompasses three key parameters: the identification of the bone puncture entry point, puncture angle, and puncture depth. Of these parameters, the selection of the....
The present study was approved by the Ethics Committee of Beijing Friendship Hospital Capital Medical University. This method will be introduced via a retrospective case study, utilizing only the preoperative prone-position computed tomography (CT) imaging data of the patient. The "Nine-grid Area Division Method" in assisted percutaneous vertebroplasty (PVP) offers a simpler and more effective approach compared to traditional methods, resulting in reduced surgical and radiation exposure times. Th.......
CT imaging and digital modeling were performed in the hospital. It took 30 min to build the 3-D model from the CT images, ~10 min to polish the 3-D model in 3-D reverse engineering production software, and 15 min to reconstruct the vertebral engineering model and confirm the safe entry regions of pedicle projection in 3-D modeling design software. The ideal bone puncture region includes regions 1, 4, and 7 on the left side in this case. The notion of the ideal bone puncture region refers.......
Percutaneous vertebroplasty (PVP) has demonstrated favorable clinical efficacy in managing painful osteoporotic vertebral compression fractures (OVCF)9. The utilization of precise percutaneous pedicle puncture technology by surgeons plays a crucial role in determining the optimal insertion point, direction, and depth of the puncture needle, thereby significantly reducing the occurrence of complications10. Currently, C-arm X-ray machines are widely employed in the domestic a.......
The study was funded by Beijing Natural Science Foundation-Haidian Original Innovation Joint Fund (L232054) and Capital Health Development Research Special Fund (NO.2024-2-2024).
....Name | Company | Catalog Number | Comments |
Computer tomography | Company GE | machine | |
Geomagic Wrap (3-D reverse engineering production software) | Oqton software | software | |
Magnetic resonance image machine | Company GE | machine | |
Materialise Interactive Medical Image Control System (medical imaging processing software) | Materialise Company | software | |
Solidworks (3-D modeling design software) | Dassault Systèmes - SolidWorks Corporation | software | |
Spirit Level Plus | IOS App store | gradientor | |
X-ray machine | Company Philips | machine |
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