The clinical diagnosis of an osteoporotic vertebral compression fracture (OVCF) is challenging and requires detailed assessment using comprehensive imaging methods. Further complicating matter is that the clinical sequelae associated with OVCF typically involves asymptomatic findings and variable pain patterns. The purpose of this study was to identify clinical characteristics and assessment findings that were associated with a diagnosis of OVCF. The study evaluated routine clinical findings in over 1400 subjects seen at an adult spine surgery clinic for thoracolumbar spine-related conditions within the years 2005-2009. All patients underwent a standardized clinical examination that included a self-report, observational, physical examination and imaging assessment. The diagnosis of OVCF was made after assessment of radiographic findings in sagittal alignment, vertebral body compression, and spinal canal dimensions. Data from the patient history and observational findings were then statistically analyzed and compared between those patients with a diagnosis of OVCF and those with an alternative diagnosis. Based on the results, a diagnostic support tool was created to predict the likelihood of OVCF. The most diagnostic combination included a cluster of: (1) age > 52 years; (2) no presence of leg pain; (3) body mass index ⩽ 22; (4) does not exercise regularly; and (5) female gender. A finding of two of five positive tests or less demonstrated high sensitivity of 0.95 (95% CI = 0.83-0.99) and low negative likelihood ratio of 0.16 (95% CI = 0.04-0.51), providing moderate value to rule out OVCF. Four of five yielded a positive likelihood ratio (LR+) of 9.6 (95% CI = 3.7-14.9) providing moderate value in ruling in the diagnosis of OVCF. Further validation is necessary prospectively to determine the value of these findings on a disparate sample of patients in other unique environments.
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http://dx.doi.org/10.1179/106698110X12595770849641 | DOI Listing |
BMC Musculoskelet Disord
January 2025
Department of Spine Surgery, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, 210003, China.
The aim of this research was to conduct randomized trials assessing the extent of cement diffusion following robot-assisted percutaneous vertebroplasty (R-PVP) for osteoporotic vertebral compression fractures (OVCF). A total of 96 OVCF patients meeting the inclusion criteria and admitted between January 2023 and November 2023 were included in the study. Among them, 48 patients were assigned to the robotic-assisted PVP group (R-PVP group) and 48 patients were assigned to the traditional PVP group (PVP group).
View Article and Find Full Text PDFSci Rep
January 2025
Department of Orthopedics, Harbin 242 Hospital, Harbin, 150066, Heilongjiang Province, People's Republic of China.
Osteoporotic vertebral compression fractures (OVCFs) can be painful. Percutaneous kyphoplasty (PKP) aims at strengthening the vertebra and reducing pain, but efficacy can vary among patients. The purpose of this study was to establish a risk prediction model for pain relief following PKP in patients with OVCF.
View Article and Find Full Text PDFInfect Drug Resist
January 2025
Department of Orthopedics, First Affiliated Hospital, Chongqing Medical University, Chongqing, People's Republic of China.
Background: Early differentiation between spinal tuberculosis (STB) and acute osteoporotic vertebral compression fracture (OVCF) is crucial for determining the appropriate clinical management and treatment pathway, thereby significantly impacting patient outcomes.
Objective: To evaluate the efficacy of deep learning (DL) models using reconstructed sagittal CT images in the differentiation of early STB from acute OVCF, with the aim of enhancing diagnostic precision, reducing reliance on MRI and biopsies, and minimizing the risks of misdiagnosis.
Methods: Data were collected from 373 patients, with 302 patients recruited from a university-affiliated hospital serving as the training and internal validation sets, and an additional 71 patients from another university-affiliated hospital serving as the external validation set.
J Robot Surg
January 2025
Department of Orthopaedics, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, 210028, Jiangsu, China.
The rising incidence of osteoporotic vertebral compression fractures (OVCF) has increased the demand for precise treatments like robot-assisted percutaneous vertebroplasty (PVP), especially for conditions like Kümmell's disease that require high surgical accuracy. However, the traditional tracer fixation method has certain limitations. This study aimed to compare the safety and clinical efficacy of a modified tracer fixation technique with the traditional fixation method in robot-assisted percutaneous vertebroplasty (PVP) for Kümmell's disease.
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December 2024
Department of Medical Device Development, Seoul National University College of Medicine, Seoul, Republic of Korea.
Vertebral collapse (VC) following osteoporotic vertebral compression fracture (OVCF) often requires aggressive treatment, necessitating an accurate prediction for early intervention. This study aimed to develop a predictive model leveraging deep neural networks to predict VC progression after OVCF using magnetic resonance imaging (MRI) and clinical data. Among 245 enrolled patients with acute OVCF, data from 200 patients were used for the development dataset, and data from 45 patients were used for the test dataset.
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