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OBJECTIVE: This study aimed to compare and analyze differences in clinical and magnetic resonance imaging (MRI) findings between tuberculous spondylodiscitis (TbS) and pyogenic spondylodiscitis (PyS), and to develop and validate a simplified multiparameter MRIbased scoring system for differentiating TbS from PyS. METHODS: We compared predisposing factors in 190 patients: 123 with TbS and 67 with PyS, confirmed by laboratory tests, culture, or pathology. Data encompassing patient demographics, clinical characteristics, laboratory results, and MRI findings were collected between 2015 and 2020. Data were analyzed using logistic regression methods, and selected coefficients were transformed into an MRI-based scoring system. Internal validation was performed using bootstrapping method. RESULTS: Univariate analysis revealed that the significant risk factors associated with TbS included thoracic lesions, vertebral destruction > 50%, intraosseous abscess, thin-walled abscess, well-defined paravertebral abscess, subligamentous spreading, and epidural abscess. Multivariate analysis revealed that only thoracic lesions, absence of epidural phlegmon, subligamentous spreading, intraosseous abscesses, well-defined paravertebral abscesses, epidural abscesses, and absence of facet joint arthritis were independent predictive factors for TbS (all p < 0.05). These potential predictors were used to derive an MRI scoring system. Total scores ≥ 14/29 points significantly predicted the probability of TbS, with a sensitivity of 97.58%, specificity of 92.54%, and an area under the curve of 0.96 (95% confidence interval, 125.40-3,257.95). CONCLUSION: This simplified MRI-based scoring system for differentiating TbS from PyS helps guide appropriate treatment when the causative organism is not identified.
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BACKGROUND: Thoracic spinal tuberculosis (TB) causes destruction of the spine and compression of the adjacent spinal cord. This study aimed to identify the risk factors for neurological deterioration in patients with thoracic spinal TB to guide decision-making regarding immediate surgery before the onset of weakness. METHODS: Demographic, clinical, laboratory, and radiologic (x-ray and magnetic resonance imaging) data of 115 patients with active thoracic spinal TB were retrospectively analyzed. Patients with neurological status categorized as Frankel grades A, B, or C (n = 71) were classified as the neurological deficit group, while those with neurological status categorized as Frankel grades D and E (n = 44) constituted the control group. Univariate and multivariate logistic regression analyses were used to predict the risk factors for neurological deficits. RESULTS: The mean patient age was 57.2 years. The most common lesion location was the distal thoracic region (T9-L1; 62.6%). Paradiscal involvement was the most common form of involvement (73%). In the univariate analysis, the significant risk factors associated with neurological worsening were overweight (body mass index [BMI] >25), C-reactive protein level > 20 mg/L, panvertebral involvement, loss of cerebrospinal fluid posterior to the cord, cord signal changes, and canal compromise. The multivariate analysis revealed that only BMI >25 (adjusted OR = 16.18; 95% CI 1.60-163.64; P = 0.018), cord signal changes (adjusted OR = 7.42; 95% CI 1.85-29.74; P = 0.005), and canal encroachment >50% ( adjusted OR = 51.86; 95% CI 5.53-486.24; P = 0.001) were independent risk factors for predicting the risk of neurological deficits. CONCLUSIONS: Overweight (BMI >25), cord signal changes, and canal compromise >50% significantly predicted neurological deficits in patients with thoracic spinal TB. Prompt spinal surgery should be considered before progressive worsening of the neurological condition in patients with all of these risk factors. CLINICAL RELEVANCE: Predictive factors for neurological deficits in thoracic spinal TB were determined. Overweight, cord signal changes, and canal compromise >50% showed predictive value. These factors can help identify patients who require early surgical intervention.
