A Comparative Factor Analysis and New Magnetic Resonance Imaging Scoring System for Differentiating Pyogenic Versus Tuberculous Spondylodiscitis.

IF 3.8 2区 医学 Q1 CLINICAL NEUROLOGY
Neurospine Pub Date : 2024-06-01 Epub Date: 2024-06-30 DOI:10.14245/ns.2448120.060
Terdpong Tanaviriyachai, Patchara Pornsopanakorn, Kongtush Choovongkomol, Tada Virathepsuporn, Urawit Piyapromdee, Sarut Jongkittanakul, Weera Sudprasert, Sirichai Wiwatrojanagul
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引用次数: 0

Abstract

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.

用于区分化脓性和结核性脊柱盘炎的比较因素分析和新磁共振成像评分系统
研究目的本研究旨在比较和分析结核性脊柱盘炎(TbS)和化脓性脊柱盘炎(PyS)在临床和磁共振成像(MRI)检查结果上的差异,并开发和验证一种基于磁共振成像的简化多参数评分系统,用于区分结核性脊柱盘炎和化脓性脊柱盘炎:我们比较了 190 名患者的易感因素:方法:我们比较了 190 名患者的易感因素:123 名 TbS 患者和 67 名经实验室检测、培养或病理证实的 PyS 患者。我们在2015年至2020年间收集了包括患者人口统计学、临床特征、实验室结果和磁共振成像结果在内的数据。采用逻辑回归方法对数据进行分析,并将选定的系数转化为基于磁共振成像的评分系统。采用引导法进行了内部验证:单变量分析显示,与TbS相关的重要风险因素包括胸椎病变、椎体破坏>50%、骨内脓肿、薄壁脓肿、界限清晰的椎旁脓肿、韧带下蔓延和硬膜外脓肿。多变量分析显示,只有胸椎病变、无硬膜外痰、韧带下蔓延、骨内脓肿、定义明确的椎旁脓肿、硬膜外脓肿和无面神经关节炎才是 TbS 的独立预测因素(均 p < 0.05)。这些潜在的预测因素被用于推导 MRI 评分系统。总分≥14/29分可显著预测TbS的概率,敏感性为97.58%,特异性为92.54%,曲线下面积为0.96(95%置信区间,125.40-3,257.95):结论:这一基于核磁共振成像的简化评分系统可用于区分 TbS 和 PyS,有助于在未确定致病菌的情况下指导适当的治疗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Neurospine
Neurospine Multiple-
CiteScore
5.80
自引率
18.80%
发文量
93
审稿时长
10 weeks
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