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101 results for “Vertebral fractures”
Lumbar Spine Vertebral Compression Fractures (VCFs) Dataset: MRI T1-Weighted Images for Benign and Malignant Classification
<p>This dataset was prepared for the study of classification of benign vertebral compression fractures (VCFs) secondary to osteoporosis and malignant VCFs secondary to neoplastic infiltration. The original study in which it was used aimed to assist in differentiating these conditions using three-dimensional radiomic techniques and artificial neural networks.</p> <p>This dataset was assembled from sagittal T1-weighted magnetic resonance imaging (MRI) scans of the lumbar spine obtained from consecutive patients diagnosed with benign or malignant VCFs at the University Hospital of the Ribeirão Preto Medical School (HCFMRP) between the years 2010 and 2019. The images were acquired using the Philips Achieva 1.5 T and 3 T MRI systems and were stored in the DICOM (Digital Imaging and Communications in Medicine) format.</p> <p>The compilation of the dataset followed a rigorous selection and filtering process. From the initial set of cases of vertebral fractures in the lumbar region, patients who had received prior treatment (such as chemotherapy, radiotherapy, or surgery), those with fractures of traumatic etiology, old fractures, patients under 18 years old, and cases of malignant fractures without biopsy confirmation were excluded. With these exclusions, the final set consists of 91 patients (36 men and 55 women, with a mean age of 64.24 ± 11.75 years), of which 47 have benign VCFs and 44 have malignant VCFs.</p> <p>For the segmentation of fractured vertebrae, the images were pre-processed by normalizing the intensity to 256 gray levels (0 to 255), and histogram equalization was applied to improve contrast. The vertebrae were semi-automatically segmented using the 3D Slicer software. Each segmentation was saved in the "nrrd" format, native to 3D Slicer. The entire segmentation process, as well as the definition and application of exclusion criteria, were supervised by a senior radiologist with 20 years of experience in musculoskeletal radiology.</p> <p>The structure of this dataset includes, in addition to the DICOM exams, a directory containing the requantized images to 256 gray levels in the "nrrd" format and another with the segmentation files in the "seg.nrrd" format. A spreadsheet with detailed information about each patient's class, sex, age, and which vertebral bodies were segmented is also available. All DICOM files in this dataset have been anonymized to ensure patient privacy.</p> <p>This dataset was structured to provide a robust basis for the training and validation of machine learning models focused on the classification of vertebral compression fractures. It was designed to aid in the massive three-dimensional extraction of radiomic features, enabling the search for radiomic signatures capable of assisting radiologists in the accurate characterization of these fractures.</p> <p>For more information on how the dataset was created and used, please refer to the original article: <a href="https://link.springer.com/article/10.1007/s10278-023-00847-4" target="_blank" rel="noopener"><em>Chiari-Correia NS, Nogueira-Barbosa MH, Chiari-Correia RD, Azevedo-Marques PM. A 3D Radiomics-Based Artificial Neural Network Model for Benign Versus Malignant Vertebral Compression Fracture Classification in MRI. J Digit Imaging. 2023;36(4):1565-1577. doi:10.1007/s10278-023-00847-4</em></a></p>
Male-female disparity in clinical features and significance of mild vertebral fractures in community-dwelling residents aged 50 and over: A Japanese cohort survey randomly sampled from a basic resident registry
Open the record for dataset details and reuse information.
Survival analysis after vertebral compression fractures in population over 65 years old
<p><strong>Background: </strong>Mortality in vertebral compression fractures (VCF) is rarely directly associated with the fracture. Lower mortality has been demonstrated when fractures are treated surgically (vertebral augmentation) versus conservatively. However, the exact mechanism that justifies this increased survival is unknown. This study aims to analyze overall survival in elderly patients who have suffered a non-pathological VCF, its causes, and the relationship with different factors.</p> <p><strong>Methods: </strong>All patients over 65 years old diagnosed with acute, non-pathologic thoracic or lumbar VCF, treated consecutively in our center from January 2017 to December 2020, were retrospectively selected for analysis. Those patients with follow-ups under two years or who required arthrodesis due to poor fracture evolution were excluded. Only the first process was considered for patients who presented a second VCF in the first three months.</p> <p><strong>Results: </strong>A total of 509 consecutive fractures were registered. Seventeen were excluded, leaving 492 cases for final analysis. The mean age was 78.9 years old. Overall mortality was 36.2%. Survival rate at 1-, 12-, 24-, 48-, and 60-month follow-up was 97.4%, 86.6%, 78.0%, 64.4%, and 59.4%, respectively. The independent factors associated with a higher mortality risk were age, male, oncologic history, non-traumatic mechanism, and co-morbidity during hospitalization. No statistical differences were found when comparing the two survival curves by treatment (vertebral augmentation vs. conservative management) over time. No benefit was observed in those patients with comprehensive outpatient geriatric care. </p> <p><strong>Conclusion: </strong>Age, male sex, history of oncological disease, non-traumatic mechanism of the fracture, and any comorbidity during hospitalization were identified as variables independently associated with a higher risk of mortality following a VCF in the elderly. Vertebral augmentation and comprehensive outpatient geriatric care showed no benefit in overall survival.</p>
VERtebral Fracture Treatment Comparisons in Osteoporotic Women
ClinicalTrials.gov study NCT01709110. IPD Sharing: YES. Countries: 15. Publications: 5.
BONE STRAIN INDEX AS A PREDICTOR OF FURTHER VERTEBRAL FRACTURE IN OSTEOPOROTIC WOMEN
<p>Background: Osteoporosis is an asymptomatic disease of high prevalence and incidence, leading to bone fractures burdened by high mortality and disability, mainly when several subsequent fractures occur. A fragility fracture predictive model, Artificial Intelligence-based, to identify dual X-ray absorptiometry (DXA) variables able to characterise those patients who are prone to further fractures called Bone Strain Index, was evaluated in this study.</p> <p>Methods: In a prospective, longitudinal, multicentric study 172 female outpatients with at least one vertebral fracture at the first observation were enrolled. They performed a spine X-ray to calculate spine deformity index (SDI) and a lumbar and femoral DXA scan to assess bone mineral density (BMD) and bone strain index (BSI) at baseline and after a follow-up period of 3 years in average. At the end of the follow-up, 93 women developed a further vertebral fracture. The further vertebral fracture was considered as one unit increase of SDI. We assessed the predictive capacity of supervised Artificial Neural Networks (ANNs) to distinguish women consistently with a further fracture from those without a further fracture and to identify the variables expressing the maximal amount of relevant information to discriminate the two groups. ANNs were allowed to choose relevant input data automatically (TWIST-system). Moreover, we constructed a semantic connectivity map with Auto Contractive Map to offer some insight regarding the complex biological connections among the studied variables and the two conditions (further fracture vs no further fracture).</p> <p>Results: TWIST system selected 5 out of 13 available variables: age, menopause age, BMI, FTot BMC, FTot BSI. With training testing procedure, ANNs reached predictive accuracy of 79.36%, with a sensitivity of 75% and a specificity of 83.72%. The semantic connectivity map highlighted the role of BSI in predicting the risk of a further fracture.</p> <p>Conclusions: Artificial Intelligence is a useful method to analyse a complex system like that regarding osteoporosis, able to identify patients prone to a further fragility fracture. BSI appears to be a useful DXA index in identifying those patients who are at risk of further vertebral fractures.</p>
Supplementary figures to Effect of bisphosphonates on vertebral fractures in HIV infected males: 7-years longitudinal study
<p>Supplementary figures to Effect of bisphosphonates on vertebral fractures in HIV infected males: 7-years longitudinal study</p>
Denosumab and Osteoporotic Vertebral Compression Fracture
ClinicalTrials.gov study NCT05058443. IPD Sharing: NO. Countries: 1. Publications: 3.
Evaluation of the Impact of a Case-finding Strategy for Vertebral Fractures
ClinicalTrials.gov study NCT00463905. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Optimization of Follow-up of Patients With Symptomatic Recent Osteoporotic Vertebral Fracture
ClinicalTrials.gov study NCT03967704. IPD Sharing: Not stated. Countries: 1. Publications: 10.
Effectiveness of Implementation of Opportunistic AI-screening for Vertebral Fractures in Clinical Practice
ClinicalTrials.gov study NCT07100756. IPD Sharing: NO. Countries: 1. Publications: 0.
Investigating Bone Cement With or Without Inossia® Cement Softener for Vertebral Compression Fractures
ClinicalTrials.gov study NCT05676320. IPD Sharing: NO. Countries: 4. Publications: 31.
A Trial of Vertebroplasty for Painful Chronic Osteoporotic Vertebral Fractures (Vertos V)
ClinicalTrials.gov study NCT01963039. IPD Sharing: NO. Countries: 1. Publications: 1.
Study About the Effect of Preventive Adjacent Level Cement Augmentation After Osteoporotic Vertebral Compression Fractures
ClinicalTrials.gov study NCT02489825. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Prevalence of Vertebral Fractures in Patients With Type 1 Diabetes
ClinicalTrials.gov study NCT04064437. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Addressing Vertebral Osteoporosis Incidentally Detected to Prevent Future Fractures
ClinicalTrials.gov study NCT00388908. IPD Sharing: Not stated. Countries: 1. Publications: 4.
A Trial of Vertebroplasty for Painful Acute Osteoporotic Vertebral Fractures
ClinicalTrials.gov study NCT01200277. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Virtual Intervention for Vertebral frActure: a Pilot, Feasibility Study for a Multicentre Randomized Controlled Trial
ClinicalTrials.gov study NCT06650410. IPD Sharing: Not stated. Countries: 1. Publications: 2.
How Vertebral Fractures Effect Balance In Postmenopausal Women
ClinicalTrials.gov study NCT06502301. IPD Sharing: NO. Countries: 1. Publications: 9.
Effect of Muscle Stiffness on Vertebral Fractures in Women Over 60
ClinicalTrials.gov study NCT06687889. IPD Sharing: UNDECIDED. Countries: 1. Publications: 11.
Postrual Reduction With Pillow in Osteoporotic Vertebral Fracture
ClinicalTrials.gov study NCT03451305. IPD Sharing: Not stated. Countries: 1. Publications: 3.
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International Brain Laboratory public data
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OpenNeuro
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