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活检前MRI和CT特征对预测疑似椎间盘炎-骨髓炎椎体活检结果的诊断准确性:一项回顾性单中心研究

Diagnostic Accuracy of Pre-Biopsy MRI and CT Features for Predicting Vertebral Biopsy Yield in Suspected Vertebral Discitis Osteomyelitis: A Retrospective Single-Center Study.

作者信息

Negarestani Amirmasoud, Pasion Andrew, Bhatnagar Caleb, Khokhar Zuhaib, Kundu Ashima, Diulus Samantha, Parada Jorge P, Allam Emad

机构信息

Department of Radiology, Loyola University Medical Center, 2160 S 1st Ave, Maywood, IL 60153, USA.

Department of Infectious Diseases, Loyola University Medical Center, 2160 S 1st Ave, Maywood, IL 60153, USA.

出版信息

Diagnostics (Basel). 2025 Jul 11;15(14):1760. doi: 10.3390/diagnostics15141760.

DOI:10.3390/diagnostics15141760
PMID:40722510
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12293688/
Abstract

: Vertebral discitis osteomyelitis (VDO) is a serious infection involving the vertebral bodies and intervertebral discs, often requiring biopsy for pathogen identification. However, biopsy yields are variable, and guidance on patient selection remains limited. This study aimed to assess how biopsy culture results influence clinical management and to develop imaging-based scoring systems to predict biopsy outcomes. : In this retrospective study, 70 patients who underwent image-guided vertebral biopsy for suspected VDO between 2013 and 2022 were reviewed. Pre-biopsy MRI and CT findings were scored using novel, simplified criteria. MRI was graded based on soft tissue involvement, while CT evaluated the presence or absence of a vacuum phenomenon. Culture results were correlated with imaging scores and subsequent changes in antibiotic management. Statistical analysis included logistic regression, ROC analysis, and interobserver agreement using Cohen's Kappa. : Of the 70 patients, 27 (38.6%) had positive cultures, and 20 (28.5%) experienced changes in management. Among the 48 patients with both MRI and CT imaging, MRI scores indicating soft tissue involvement and absence of the vacuum sign on CT were independent predictors of positive culture ( = 0.022 and = 0.047, respectively). The combined predictive model showed an AUC of 0.76. Interobserver agreement was excellent (κ = 0.90 for MRI, κ = 0.95 for CT). : MRI and CT features can be used to predict biopsy yield and guide clinical decisions in suspected VDO. These scoring systems may help clinicians identify patients most likely to benefit from biopsy, potentially improving outcomes and minimizing unnecessary procedures.

摘要

椎间盘炎合并骨髓炎(VDO)是一种涉及椎体和椎间盘的严重感染,通常需要进行活检以鉴定病原体。然而,活检的阳性率各不相同,关于患者选择的指导仍然有限。本研究旨在评估活检培养结果如何影响临床管理,并开发基于影像学的评分系统来预测活检结果。

在这项回顾性研究中,对2013年至2022年间因疑似VDO接受影像引导下椎体活检的70例患者进行了回顾。活检前的MRI和CT检查结果采用新的简化标准进行评分。MRI根据软组织受累情况分级,而CT评估是否存在真空现象。培养结果与影像学评分及随后抗生素管理的变化相关。统计分析包括逻辑回归、ROC分析以及使用Cohen's Kappa评估观察者间的一致性。

70例患者中,27例(38.6%)培养结果为阳性,20例(28.5%)的治疗方案发生了改变。在48例同时进行了MRI和CT检查的患者中,MRI显示软组织受累且CT上无真空征是培养结果为阳性的独立预测因素(分别为 = 0.022和 = 0.047)。联合预测模型的AUC为0.76。观察者间的一致性良好(MRI的κ = 0.90,CT的κ = 0.95)。

MRI和CT特征可用于预测疑似VDO患者的活检阳性率并指导临床决策。这些评分系统可能有助于临床医生识别最有可能从活检中获益的患者,从而可能改善治疗结果并减少不必要的操作。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d5b/12293688/6d1cc0f53489/diagnostics-15-01760-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d5b/12293688/db91bab06a55/diagnostics-15-01760-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d5b/12293688/2eab2bf486ea/diagnostics-15-01760-g002a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d5b/12293688/e2f87f6a7784/diagnostics-15-01760-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d5b/12293688/be18100bdd84/diagnostics-15-01760-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d5b/12293688/306ec72840d4/diagnostics-15-01760-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d5b/12293688/6d1cc0f53489/diagnostics-15-01760-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d5b/12293688/db91bab06a55/diagnostics-15-01760-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d5b/12293688/2eab2bf486ea/diagnostics-15-01760-g002a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d5b/12293688/e2f87f6a7784/diagnostics-15-01760-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d5b/12293688/be18100bdd84/diagnostics-15-01760-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d5b/12293688/306ec72840d4/diagnostics-15-01760-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d5b/12293688/6d1cc0f53489/diagnostics-15-01760-g006.jpg

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