Introduction And Objectives: A number of sophisticated methods have been used to identify the degree of vertebral rotation. This is an experimental model using saw bone and motorized device to identify the possible parameter of vertebral body axial rotation on simple radiographs.
Materials And Methods: A sawbones model of the lumbar spine was used in this study. The sawbones was attached to a zigzag motorized rotation device. The device rotated the model vertebra by 1°. Fluoroscopic images were obtained for each pose. We developed a customized program to calculate the indices automatically. Three formulas were used to determine the ratio that corresponds to the rotation angle: (1) ratio of the total width of the vertebral body to the length between the lateral margin and center of two pedicles, (2) ratio of the total width of the vertebral body to the length between two pedicles, and (3) ratio of the length between two pedicles to the total width of the vertebral body.
Results: The correlation coefficient between the rotation angle and formula 1 was -0.9995. The correlation coefficient for the other two parameters was extremely low (0.036 for formula 2 and 0.16 for formula 3).
Conclusions: The rotation angle can be easily and accurately determined by calculating the abovementioned parameters on simple radiographs.
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http://dx.doi.org/10.4103/jcvjs.jcvjs_171_24 | DOI Listing |
Front Surg
February 2025
Department of Spine Surgery, The Third Hospital of Hebei Medical University, Shijiazhuang, China.
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View Article and Find Full Text PDFHeliyon
February 2025
Spine Research Center of Wannan Medical College, Wuhu, China, 22, Wenchang West Road, China, Wuhu, 241001, China.
Background: Spondylolysis is commonly linked to low back pain in athletes, and the connection between muscle weakness and spondylolysis is unclear. Therefore, this study examined the biomechanics of spondylolysis and influence of muscle weakness by finite element (FE) analysis.
Methods: A patient's L1-S1 lumbosacral unit was scanned by computed tomography, and generated a three-dimensional pathology-free FE model.
Objective: L5/S1 segment is one of the most common lumbar degenerative segments with high clinical failure rate. When the clinically responsible segment consists of one or more segments including L4/L5 segment, whether to merge the severely degraded L5/S1 segment together is a common problem plaguing clinicians. Therefore, the purpose of this study was to explore the risk factors for preoperative adjacent segment degeneration L5/S1 segment occuring Postoperative adjacent segment disease(ASDis), analyze the correlation between the high risk factors and the occurrence of adjacent segment disease, clarify the preventive measures and direction, and provide references for clinical selection of personalized treatment.
View Article and Find Full Text PDFJ Orthop Surg Res
March 2025
People's Hospital of Ningxia Hui Autonomous Region, Ningxia Medical University, No. 301, Zhengyuan North Street, Jinfeng District, Yinchuan City, 750001, Ningxia Hui Autonomous Region, China.
Background: Vertebral Hounsfield unit (HU) were regarded as a new way to predict fragility fracture. However, HU values were measured in a single plane, which is not accurate for the entire vertebral body. This study aimed to create a new CT-based metric for assessing bone mineral density, three-dimensional Hounsfield unit value (3D-HU), and to evaluate its effect in independently predicting new vertebral fracture (NVF) after percutaneous vertebral augmentation (PVA) in postmenopausal women.
View Article and Find Full Text PDFJ Neurosurg Case Lessons
March 2025
Chicago Medical School, Rosalind Franklin University, North Chicago, Illinois.
Background: A 32-year-old male with no previous significant medical history presented to the authors' clinic with a 7-week history of severe low back pain. The patient was evaluated with MRI, which revealed a large intradural spherical enhancing mass behind the L1 vertebral body. He was subsequently treated with a left L1-2 hemilaminectomy and excision of the tumor.
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