Objectives: To perform an interobserver and intraobserver agreement evaluation of the new AO Spine-DGOU classification system for osteoporotic thoracolumbar fractures (OFc).
Methods: Complete imaging studies of 97 patients (radiographs, computed tomography scans, and magnetic resonance imaging) with osteoporotic thoracolumbar fractures were selected and classified using the OFc by 6 spine surgeons (3 senior surgeons with more than 15 years of experience and 3 surgeons with less than 15 years). After a 4-week interval, the same cases were presented to the same evaluators in a random sequence for a new classification assessment. The weighted kappa coefficient (wκ) was used to determine the interobserver and intraobserver agreement.
Results: The interobserver agreement was moderate, wκ = 0.59 (95% confidence interval 0.54-0.64). The intraobserver agreement was fair, wκ = 0.35 (95% confidence interval 0.29-0.40). Interobserver agreement slightly improved for junior staff between first and second evaluation, suggesting a learning effect. Better agreement was obtained by senior staff at the interobserver and intraobserver agreement.
Conclusions: This independent assessment demonstrated that new OFc allows moderate interobserver agreement and fair intraobserver agreement. Further studies are necessary prior to its widespread adoption.
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http://dx.doi.org/10.1016/j.wneu.2022.02.029 | DOI Listing |
BMC Musculoskelet Disord
December 2024
Department of Orthopedics, Panyu Hospital of Chinese Medicine, Guangzhou, Guangdong, China.
Purpose: This study aims to identify the risk factors associated with bone cement loosening after percutaneous vertebroplasty/kyphoplasty (PVP/PKP) for osteoporotic vertebral compression fractures (OVCF) and to develop a clinical prediction model for bone cement loosening.
Methods: Clinical data of patients who underwent PVP/PKP for OVCF at Guangzhou Panyu Hospital from June 2017 to June 2021 were collected, with a division into loosening group and normal group based on postoperative follow-up imaging. Univariate analysis was conducted to explore the correlation between clinical data and bone cement loosening.
Int J Gen Med
December 2024
Department of Orthopaedic Surgery, The First Affiliated Hospital of Soochow University, Suzhou, 215006, People's Republic of China.
Background: This study aims to explore the correlation between bone metabolism indices and osteoporotic thoracolumbar vertebrae fracture (OTVF) in postmenopausal women.
Methods: A total of 447 female patients with postmenopause and underwent OTVF in our hospital were selected as group A. Three hundred eighty-seven out-patients without fractures were selected as group B.
Cureus
November 2024
Department of Neurological Surgery, Nagoya University Hospital, Nagoya, JPN.
Vertebral fractures (VFs) occasionally appear as the first manifestation of acute lymphocytic leukemia (ALL) in children. However, in adults, it is uncommon for VFs to lead to a diagnosis of ALL, and surgical intervention is even rarer. We encountered a case of a 42-year-old man with ALL who presented with acute severe back pain, lower limb numbness, dysuria, and hamstring weakness.
View Article and Find Full Text PDFOrthopadie (Heidelb)
December 2024
Institut für Diagnostische und Interventionelle Radiologie/Neuroradiologie, Westküstenklinikum Heide, Akademisches Lehrkrankenhaus der Universitäten Kiel, Lübeck und Hamburg, Heide, Heide, Deutschland.
Background: An increasing loss of bone mineral density (BMD) in the axial skeleton leads to osteoporosis and fractures, with an increase found in the thoracic and thoracolumbar regions.
Research Question: The extent to which an examiner-independent assessment of the extent of osteoporosis and fracture risk determination is possible by determining the trabecular density in Hounsfield units (HU) in the spine should be examined. The next question was whether quantitative BMD values can be calculated from the HU values.
J Orthop Surg Res
November 2024
Department of Orthopedics, Tianjin Medical University General Hospital, Tianjin, 300052, China.
Background: Machine learning (ML) has been widely applied to predict the outcomes of numerous diseases. The current study aimed to develop a prognostic prediction model using machine learning algorithms and identify risk factors associated with residual back pain in patients with osteoporotic vertebrae compression fracture (OVCF) following percutaneous vertebroplasty (PVP).
Methods: A total of 863 OVCF patients who underwent PVP surgery were enrolled and analyzed.
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