ArticleEuropean radiology2021
A diagnostic model for differentiating tuberculous spondylitis from pyogenic spondylitis on computed tomography images.
Article in European radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- Differentiating Tuberculous and Pyogenic Spondylodiscitis: Part II: MRI/CT Features, Prediction Models, and the Role of PET/CT-A Narrative Review.Diagnostics (Basel, Switzerland) · 2026Review
- Differentiating Tuberculous and Pyogenic Spondylodiscitis: Part I-Epidemiology, Clinical Features, Laboratory Markers, and Tissue-Based Diagnosis.Diagnostics (Basel, Switzerland) · 2026Review
- Development and validation of a nomogram for differential diagnosis of pyogenic spondylitis and tuberculous spondylitis in China: a multicenter retrospective study.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026Article
- Multimodal imaging fusion and machine learning model development: differential diagnosis of spinal inflammatory lesions using combined CT hounsfield units and MRI features.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026Article
- Integration of single-cell and bulk RNA sequencing reveals divergent T-cell immune circuits and a shared osteo-immune pathway in spinal tuberculosis and brucellar spondylitis.Frontiers in cellular and infection microbiology · 2026Article
- Case Report: Interim success in treating pyogenic spondylitis caused by Staphylococcus epidermidis using UBE technology: a rare case.Frontiers in surgery · 2026Article
- Iron overload disrupts bone homeostasis via TfR1-dependent ferroptosis and cGAS/STING-driven pyroptosis in pyogenic spondylitis.Frontiers in immunology · 2026Article
- An imaging-based clinical prediction model to differentiate brucellar spondylitis from pyogenic spondylitis: a multicenter retrospective observational study.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2025Observational
- A comprehensive analysis of magnetic resonance imaging and laboratory features in pyogenic, tuberculous, brucellar, and fungal spondylitis.Quantitative imaging in medicine and surgery · 2025Article
- Differentiation of typical features between Fungal spondylitis and Brucellar spondylitis on CT and new applications of CT values in diagnosis of spinal infections.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2025Article
- Uniportal endoscopic decompression and debridement for infectious diseases of spine with neurological deficits: a retrospective study in China.Asian spine journal · 2025Article
- Treatment of refractory thoracolumbar spine infection by thirteen times of vacuum sealing drainage: A case report.World journal of orthopedics · 2025Article
- A diagnostic model for differentiating tuberculous spondylodiscitis from pyogenic spondylodiscitis based on pathogen-confirmed patients.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2024Article
- [Pott's disease, surgical case series and literature review].Revista medica del Instituto Mexicano del Seguro Social · 2024Review
- Differentiation of Native Vertebral Osteomyelitis: A Comprehensive Review of Imaging Techniques and Future Applications.Medical science monitor : international medical journal of experimental and clinical research · 2024Review
- MRI-based interpretable radiomics nomogram for discrimination between Brucella spondylitis and Pyogenic spondylitis.Heliyon · 2024Article
- [First SADI-S in the Mexican Institute of Social Security].Revista medica del Instituto Mexicano del Seguro Social · 2024Article
- A diagnostic model for differentiating tuberculous spondylitis from pyogenic spondylitis: a retrospective case-control study.Scientific reports · 2023Article
- A predictive model for early clinical diagnosis of spinal tuberculosis based on conventional laboratory indices: A multicenter real-world study.Frontiers in cellular and infection microbiology · 2023Article
- Strengthening Tuberculosis Services for Children and Adolescents in Low Endemic Settings.Pathogens (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo develop and evaluate a logistics regression diagnostic model based on computer tomography (CT) features to differentiate tuberculous spondylitis (TS) from pyogenic spondylitis (PS).
methodsDemographic and clinical features were collected from the Electronic Medical Record System. Data of bony changes seen on CT images were compared between the PS (n = 61) and TS (n = 51) groups using the chi-squared test or t test. Based on features that were identified to be significant, a diagnostic model was developed from a derivation set (two thirds) and evaluated in a validation set (one third). The sensitivity, specificity, and area under the receiver operating characteristic curve (AUC) were calculated.
resultsThe width of bone formation around the vertebra and sequestrum was greater in the TS group. There were significant differences between the two groups in the horizontal and longitudinal location of erosion and the morphology of axial bone destruction and sagittal residual vertebra. Kyphotic deformity and overlapping vertebrae were more common in the TS group. A diagnostic model that included eight predictors was developed and simplified to include the following six predictors: width of the bone formation surrounding the vertebra, longitudinal location, axial-specific erosive morphology, specific morphology of the residual vertebra, kyphotic deformity, and overlapping vertebrae. The simplified model showed good sensitivity, specificity, and total accuracy (85.59%, 87.80%, and 86.50%, respectively); the AUC was 0.95, indicating good clinical predictive ability.
conclusionsA diagnostic model based on bone destruction and formation seen on CT images can facilitate clinical differentiation of TS from PS. KEY POINTS: • We have developed and validated a simple diagnostic model based on bone destruction and formation observed on CT images that can differentiate tuberculous spondylitis from pyogenic spondylitis. • The model includes six predictors: width of the bone formation surrounding the vertebra, longitudinal location, axial-specific erosive morphology, specific morphology of the residual vertebra, kyphotic deformity, and overlapping vertebrae. • The simplified model has good sensitivity, specificity, and total accuracy with a high AUC, indicating excellent predictive ability.
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