Percutaneous Vertebroplasty: Efficacy of Unipedicular Vertebroplasty as Compared to Bipedicular Vertebroplasty

Introduction Percutaneous vertebroplasty has been used for treatment of intractable painful fractures of vertebral bodies. With the help of refined procedures and standard techniques, the interventional radiologist can now offer help to orthopedics and neurosurgeons in these cases, which include treatment of vertebral compression fracture. Vertebroplasty is aimed at reducing the pain induced by collapse. Vertebroplasty is the standard mode of treatment for vertebral collapse, and in our study, bipedicular vertebroplasty was compared with unipedicular approach as bipedicular vertebroplasty is the routinely used approach. Aim To compare efficacy of unipedicular percutaneous vertebroplasty with that of bipedicular percutaneous vertebroplasty. Material and Methods A total of 52 vertebroplasties were done over a period of 2 years. Out of 52 patients, 28 patients underwent unipedicular vertebroplasty and 24 patients underwent bipedicular vertebroplasty. Visual analogue scale (VAS) scores were used to assess the pain prior to vertebroplasty and after vertebroplasty. Efficacy of the two procedures were assessed by comparing VAS scores. Results There was no statistically significant difference observed in the preprocedure and postprocedure VAS scores (p-value < 0.0001, < 0.0001, respectively). The mean procedure time was lesser in unipedicular vertebroplasty (41.9 ± 3.90) than bipedicular vertebroplasty (54.5 ± 3.4). Conclusion Unipedicular vertebroplasty is as effective as bipedicular vertebroplasty, as there is insignificant difference in postprocedure VAS scores between the unipedicular and bipedicular vertebroplasty.

Clinical Application of a 3D-Printed Positioning Module and Navigation Template for Percutaneous Vertebroplasty

Background This study aimed to evaluate a personalized 3D-printed percutaneous vertebroplasty positioning module and navigation template based on preoperative CT scan data that was designed to treat patients with vertebral compression fractures caused by osteoporosis. Methods A total of 22 patients with vertebral compression fractures admitted to our hospital were included in the study. Positioning was performed with the new 3D-printed positioning module, and the navigation template was used for patients in the experimental group, and the traditional perspective method was used for patients in the control group. The experimental group consisted of 11 patients, 2 males and 9 females, with a mean age of 67.27 ± 11.86 years (range: 48 to 80 years), and the control group consisted of 11 patients, 3 males and 8 females, with a mean age of 74.27 ± 7.24 years (range: 63 to 89 years). The puncture positioning duration, number of intraoperative fluoroscopy sessions, and preoperative and postoperative visual analog scale (VAS) scores were statistically analyzed in both groups. Results The experimental group had shorter puncture positioning durations and fewer intraoperative fluoroscopy sessions than the control group, and the differences were statistically significant (P < .05). There were no significant differences in age or preoperative or postoperative VAS scores between the two groups (P > .05). Conclusions The new 3D-printed vertebroplasty positioning module and navigation template shortened the operation time and reduced the number of intraoperative fluoroscopy sessions. It also reduced the difficulty in performing percutaneous vertebroplasty and influenced the learning curve of senior doctors learning this operation to a certain degree.

Multilevel percutaneous vertebroplasty: safety, efficacy and long-term outcomes

<p><strong>Background:</strong> The pain in vertebral compression fractures is severe, leading to reduced mobility and quality of life. Percutaneous vertebroplasty is a minimally invasive procedure for treating various spinal pathologies. This study evaluated the usefulness and safety of multilevel PVP (two to three vertebrae) in managing VCF.</p><p><strong>Methods:</strong> This retrospective study evaluated 59 vertebral levels in 28 patients with VCF who had been operated on for multilevel PVP (two to three levels). There were 22 females and six males, and their ages ranged from 36 to 79 years, with a mean age of 68.95 years. We had injected two levels in 25 patients and three levels in 3 patients. The visual analogue scale was used for pain intensity measurement, and plain X-ray films, computed tomography scan and magnetic resonance imaging was used for radiological assessment. The mean follow-up period was 13.8 months (range, 11-19).</p><p><strong>Results:</strong> Significant pain improvement was recorded in 26 patients (92.85%). More remarkable improvement in pain was noticed in the immediate postoperative period than in the subsequent follow-ups. Asymptomatic bone cement leakage anteriorly and into the disk spaces in two patients. Isolated anterior leakage has occurred in one patient. There was no encounter of pulmonary embolism.</p><p><strong>Conclusions:</strong> Multilevel PVP for the treatment of VCF is a safe and effective procedure that can significantly reduce pain and improve patient condition without any significant morbidity. It is considered a cost-effective procedure allowing a rapid restoration of patient mobility.</p><p> </p>

Machine Learning Applications for the Prediction of Bone Cement Leakage in Percutaneous Vertebroplasty

Background: Bone cement leakage is a common complication of percutaneous vertebroplasty and it could be life-threatening to some extent. The aim of this study was to develop a machine learning model for predicting the risk of cement leakage in patients with osteoporotic vertebral compression fractures undergoing percutaneous vertebroplasty. Furthermore, we developed an online calculator for clinical application.Methods: This was a retrospective study including 385 patients, who had osteoporotic vertebral compression fracture disease and underwent surgery at the Department of Spine Surgery, Liuzhou People's Hospital from June 2016 to June 2018. Combing the patient's clinical characteristics variables, we applied six machine learning (ML) algorithms to develop the predictive models, including logistic regression (LR), Gradient boosting machine (GBM), Extreme gradient boosting (XGB), Random Forest (RF), Decision Tree (DT) and Multilayer perceptron (MLP), which could predict the risk of bone cement leakage. We tested the results with ten-fold cross-validation, which calculated the Area Under Curve (AUC) of the six models and selected the model with the highest AUC as the excellent performing model to build the web calculator.Results: The results showed that Injection volume of bone cement, Surgery time and Multiple vertebral fracture were all independent predictors of bone cement leakage by using multivariate logistic regression analysis in the 385 observation subjects. Furthermore, Heatmap revealed the relative proportions of the 15 clinical variables. In bone cement leakage prediction, the AUC of the six ML algorithms ranged from 0.633 to 0.898, while the RF model had an AUC of 0.898 and was used as the best performing ML Web calculator (https://share.streamlit.io/liuwencai0/pvp_leakage/main/pvp_leakage) was developed to estimate the risk of bone cement leakage that each patient undergoing vertebroplasty.Conclusion: It achieved a good prediction for the occurrence of bone cement leakage with our ML model. The Web calculator concluded based on RF model can help orthopedist to make more individual and rational clinical strategies.

A patient with Turner syndrome received the percutaneous vertebroplasty seven times: a case report and literature review

Background Turner syndrome (TS) is characterized as the complete or partial absence of one X chromosome and is an extremely rare disease affecting approximately 1:2500 live female births. Though the prevalence of osteoporosis among women with TS is estimated to be around 55–64% and they suffer more frequently from fractures than normal, few reports concerning TS patients with osteoporosis are able to be seen due to tiny number of patients. Case presentation Here, we report a rare case of TS with osteoporosis, who has undergone percutaneous vertebroplasty (PVP) seven times because of several vertebral compression fractures (VCFs). G-banded karyotype analysis was performed and the result was 45,X[43]/47,XXX[17], indicating that the patient was a mosaicism of TS karyotype and Trisomy X syndrome karyotype. TS is the underlying cause of low level of estrogen for this patient. The interaction of aging, estrogen deficiency and intestinal dysbacteriosis leads to her severe osteoporosis and multi-segmental VCFs. The aim of this report is to provide recommendations regarding the management of TS patients with osteoporosis by reviewing the clinical presentation of TS, the influence of estrogen deficiency in osteoporosis, etc. Conclusions Early diagnosis and hormone replacement treatment are essential for TS patients to prevent osteoporosis and reduce the risk of fractures. This is a rare case report describing TS patient with severe osteoporosis and VCFs.