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INTRO: Distal growth core fractures of the femur are the third most common fracture in patients older than 10 years. These fractures result from high-energy trauma and have a high risk of evolving into growth disorders. The classification most used to describe these types of fractures is that described by Salter and Harris. Special clinical cases often occur in clinical practice that are not described in the classifications used. In our study, we analyzed and further focused on new fracture patterns related to pediatric epiphyseal detachments not easily described by the normal classifications currently used in the literature. MATERIALS AND METHODS: From January 2020 to December 2022, we treated 2 male clinical cases with epiphyseal detachments of the distal femur that could not be classified according to the Salter and Harris classification. age of the patients was 10 and 11 years, respectively; for both patients, the traumatic mechanism was a direct trauma to the right knee at high speed using an electric scooter; Serious clinical and radiographic follow-ups were performed at month 1, month 3, month 6, month 12, and month 24 from the date of surgery. DISCUSSION: Distal femur fractures represent a challenge for the orthopedics because they have a high incidence of complications. In our experience, there has been an increase in this type of injury caused using recently developed electric vehicles, which can reach considerable speeds. The Salter Harris classification is among the most widely used for fractures involving the growth physis. This classification proved to be rather limiting in the present case, so we decided to classify the fracture as 'Salter Harris III equivalent'. CONCLUSIONS: The fracture examined is a very rare fracture of the distal femur and is not reflected in the classifications currently in use. The patient presented an excellent clinical and radiographic result after surgery with the presence of a shortening of the affected femur in relation to the contralateral one, which suggests that the growth deficit may continue and increase over time for which reason future studies until skeletal maturity will be necessary to quantify the damage to the growth physis.

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BACKGROUND: The use of machine learning has the potential to estimate the probability of a second classification event more accurately than traditional statistical methods, and few previous studies on predicting new fractures after osteoporotic vertebral compression fractures (OVCFs) have focussed on this point. The aim of this study was to explore whether several different machine learning models could produce better predictions than logistic regression models and to select an optimal model. METHODS: A retrospective analysis of 529 patients who underwent percutaneous kyphoplasty (PKP) for OVCFs at our institution between June 2017 and June 2020 was performed. The patient data were used to create machine learning (including decision trees (DT), random forests (RF), support vector machines (SVM), gradient boosting machines (GBM), neural networks (NNET), and regularized discriminant analysis (RDA)) and logistic regression models (LR) to estimate the probability of new fractures occurring after surgery. The dataset was divided into a training set (75%) and a test set (25%), and machine learning models were built in the training set after ten cross-validations, after which each model was evaluated in the test set, and model performance was assessed by comparing the area under the curve (AUC) of each model. RESULTS: Among the six machine learning algorithms, except that the AUC of DT [0.775 (95% CI 0.728-0.822)] was lower than that of LR [0.831 (95% CI 0.783-0.878)], RA [0.953 (95% CI 0.927-0.980)], GBM [0.941 (95% CI 0.911-0.971)], SVM [0.869 (95% CI 0.827-0.910), NNET [0.869 (95% CI 0.826-0.912)], and RDA [0.890 (95% CI 0.851-0.929)] were all better than LR. CONCLUSIONS: For prediction of the probability of new fracture after PKP, machine learning algorithms outperformed logistic regression, with random forest having the strongest predictive power.

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PURPOSE: To investigate the noninvasive prediction model for new fractures after percutaneous vertebral augmentation (PVA) based on radiomics signature and clinical parameters. METHODS: Data from patients who were diagnosed with osteoporotic vertebral compression fracture (OVCF) and treated with PVA in our hospital between May 2014 and April 2019 were retrospectively analyzed. Radiomics features were extracted from T1-weighted magnetic resonance imaging (MRI) of the T11-L5 segments taken before PVA. Different radiomics models was developed by using linear discriminant analysis (LDA), multilayer perceptron (MLP), and stochastic gradient descent (SGD) classifiers. A nomogram was constructed by integrating clinical parameters and Radscore that calculated by the best radiomics model. The model performance was quantified in terms of discrimination, calibration and clinical usefulness. RESULT: Four clinical parameters and 16 selected radiomics features were used for model development. The clinical model showed poor discrimination capability with area under the curves (AUCs) yielding of 0.522 in the training dataset and 0.517 in the validation dataset. The LDA, MLP and SGD classifier-based radiomics model had achieved AUCs of 0.793, 0.810, and 0.797 in the training dataset, and 0.719, 0.704, and 0.725 in the validation dataset, respectively. The nomogram showed the best performance with AUCs achieving 0.810 and 0.754 in the training and validation datasets, respectively. The decision curve analysis demonstrated the net benefit of the nomogram was higher than that of other models. CONCLUSION: Our findings indicate that combining clinical features with radiomics features from pre-augmentation T1-weighted MRI can be used to develop a nomogram that can predict new fractures in patients after PVA.

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OBJECTIVES: An open-label, randomized trial was conducted to examine the effects of risedronate versus menopausal hormone therapy (MHT) in postmenopausal women with recent hip fracture. METHODS: Among 1165 eligible women, 281 were recruited and randomly assigned to receive oral risedronate (35 mg/week) or percutaneous estradiol gel (1.5 mg/day) plus oral micronized progesterone (100 mg/day) for 4 years. The primary end point was recurrent fracture and the secondary end points were mortality and bone mineral density (BMD). RESULTS: Kaplan-Meier analyses showed no significant differences in fracture recurrence and mortality between the two groups. The incidence of any new fracture per 100 person-years (PY) was 8.63 in the risedronate group and 12.86 in the MHT group (p = 0.180); that of clinical fracture was 4.75 and 6.99, respectively (p = 0.265); and that of asymptomatic vertebral fracture was 4.87 and 5.58, respectively (p = 0.764). The respective incidence of death per 100 PY was 3.58 and 4.40 (p = 0.503). BMD increased comparably at the lumbar spine in both groups. BMD at the total hip did not change in the risedronate group, but increased significantly by 2.8% in the MHT group. CONCLUSIONS: MHT might not differ from risedronate in the prevention of secondary fractures and death among postmenopausal women with recent hip fracture.

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This study investigated the efficacy of annual zoledronic acid (ZOL) administration against previously treated recompression vertebral fractures (RVF) and new vertebral fractures (NVF) in initial percutaneous kyphoplasty (PKP) patients with osteoporotic vertebral compression fractures (OVCF) over a 3-year follow-up period. INTRODUCTION: Although PKP achieves a satisfactory outcome, previously treated RVF and NVF can limit its effectiveness. The annual infusion of ZOL over 3 years can improve fracture protection, particularly in the vertebrae. We hypothesized that ZOL can reduce the incidence of RVFs and/or NVFs, and improve the clinical outcomes of PKP. METHODS: This was a placebo-controlled, double-blind prospective trial of 154 PKP patients (mean age: 70 years) with OVCFs. Patients were randomly assigned to receive a single infusion of ZOL (5 mg) or placebo (78 ZOL vs. 76 placebo) at 1 week, 12 months, and 24 months after surgery. Patients were followed-up for 36 months. RESULTS: ZOL treatment lowered the risk of RVF by ~ 65% over the 36-month period when compared to placebo controls (6.41% in ZOL vs. 18.42% in placebo groups; relative risk, 0.35; 95% CI, 0.13 to 0.92). ZOL also reduced the risk of NVF by ~ 73% (3.85% in ZOL vs. 14.47% in placebo groups; relative risk, 0.27; 95% CI, 0.08 to 0.92). ZOL also significantly reduced the vertebral height lost rate (HLR) at 12, 24, and 36 months. ZOL also improved the visual analog scale (VAS), Oswestry disability index (ODI) scores, and bone mineral density (BMD). CONCLUSION: Annual ZOL administration significantly lowers the risk of RVFs and NVFs, improving the clinical outcome of initial PKP in patients with OVCFs over a 3-year follow-up period. TRIAL REGISTRATION: ChiCTR2000029307.

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Lateral talar process fractures (LTPF) are uncommon injuries but have become more relevant with snowboarding. Currently the fractures are classified according to McCrory-Bladin into 3 types, with advice for treatment that is not ideal anymore. This article proposes modifying the existing classification by differentiating the multifragmented type III into 3 subtypes: IIIa, articular multifragmented but metaphyseal simple; IIIb, articular and metaphyseal multifragmented but reconstructable; and type IIIc, comminuted and nonreconstructable. A treatment-algorithm is presented. Undisplaced fractures are usually treated conservatively and displaced are an indication for surgery. In general, the outcome is good to excellent, if timely diagnosed and adequately treated.

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Objective To investigate the relationship between new vertebral fracture after percutaneous vertebroplasty (PVP) and insulin resistance (IR).Methods A total of 148 patients with osteoporotic vertebral compression fracture in our hospital from June 2013 to June 2016 were included,which were divided into the new fracture (NF) group and postoperative non-fracture control (NC) group.The patient's general information was collected.HOMA-IRindex was calculated by adopting the homeostatic model assessment formula,IR was defined as HOMA-IR≥1.73.The patients with IR were further divided into the low IR group (HO-MA-IR＜2),middle IR group (HOMA-IR 2-6) and high IR group (HOMA-IR＞6).The T value of bone mineral density (BMD) was tested by the dual-energy X-ray absorptiometry,and body mass index (BMI) was calculated according to height and weight.Results Excluding the patients losing follow-up,128 cases were finally included in this study.A total of 48 cases (37.5％) were suffered from new vertebral fracture during follow-up.The morbidity in the NF group was significantly higher than that in the NC group,moreover the HO-MA-IR value was significantly increased (P＜0.05).The IR subgroup analysis showed that with the increasing of IR,the HOMA-IR value and incidence rate of new fracture was increased,however BMI had no statistical difference among 3 subgroups (P＞0.05).The further Pearson correlation analysis showed that the HO-MA-IR value was negatively correlated with the T value (r=-0.361,P=0.027),and positively correlated with the incidence rate of new fracture (r=0.413,P=0.015).Conclusion The risk of new vertebral fracture occurrence after PVP in the patients with IR is increased,which could be considered as an anticipate risk factor.