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用于治疗关节表面置换 XL 全髋关节置换术患者的 MARS-MRI 适应证。

Indications for MARS-MRI in Patients Treated With Articular Surface Replacement XL Total Hip Arthroplasty.

机构信息

Harris Orthopaedic Laboratory, Department of Orthopaedic Surgery, Massachusetts General Hospital, Boston, Massachusetts.

Harris Orthopaedic Laboratory, Department of Orthopaedic Surgery, Massachusetts General Hospital, Boston, Massachusetts; Department of Orthopaedic Surgery, Harvard Medical School, Boston, Massachusetts.

出版信息

J Arthroplasty. 2018 Sep;33(9):2906-2911. doi: 10.1016/j.arth.2018.04.021. Epub 2018 Apr 19.

Abstract

BACKGROUND

The purpose of this study was to identify which patient and clinical factors are predictive of adverse local tissue reaction (ALTR) and to use these factors to create a highly sensitive algorithm for indicating metal artifact reduction sequence magnetic resonance imaging (MARS-MRI) in Articular Surface Replacement (ASR) XL total hip arthroplasty patients. Our secondary aim was to compare our algorithm to existing national guidelines on when to take MARS-MRI in metal-on-metal total hip arthroplasty patients.

METHODS

The study consisted of 137 patients treated with unilateral ASR XL implants from a prospective, multicenter study. Patients underwent MARS-MRI regardless of clinical presentation at a mean of 6.2 (range, 3.3-10.4) years from surgery. Univariate and multivariate analyses were conducted to determine which variables were predictive of ALTR. Predictors were used to create an algorithm to indicate MARS-MRI. Finally, we compared our algorithm's ability to detect ALTR to existing guidelines.

RESULTS

We found a visual analog scale pain score ≥2 (odds ratio [OR] = 2.53; P = .023), high blood cobalt (OR = 1.05; P = .023), and male gender (OR = 2.37; P = .034) to be significant predictors of ALTR presence in our cohort. The resultant algorithm achieved 86.4% sensitivity and 60.2% specificity in detecting ALTR within our cohort. Our algorithm had the highest area under the curve and was the only guideline that was significantly predictive of ALTR (P = .014).

CONCLUSION

Our algorithm including patient-reported pain and sex-specific cutoffs for blood cobalt levels could predict ALTR and indicate MARS-MRI in our cohort of ASR XL metal-on-metal patients with high sensitivity.

LEVEL OF EVIDENCE

Level II, diagnostic study.

摘要

背景

本研究的目的是确定哪些患者和临床因素与不良局部组织反应(ALTR)相关,并利用这些因素制定一种高度敏感的算法,用于指示 Articular Surface Replacement(ASR)XL 全髋关节置换术患者的金属伪影减少序列磁共振成像(MARS-MRI)。我们的次要目标是将我们的算法与现有的关于金属对金属全髋关节置换术患者何时进行 MARS-MRI 的国家指南进行比较。

方法

这项研究纳入了一项前瞻性、多中心研究中接受单侧 ASR XL 植入物治疗的 137 例患者。无论临床症状如何,所有患者均在术后平均 6.2(范围 3.3-10.4)年接受 MARS-MRI。进行单变量和多变量分析以确定哪些变量与 ALTR 相关。利用预测因子创建一个算法来指示 MARS-MRI。最后,我们比较了我们的算法检测 ALTR 的能力与现有指南。

结果

我们发现视觉模拟量表疼痛评分≥2(优势比[OR] = 2.53;P =.023)、高血钴(OR = 1.05;P =.023)和男性(OR = 2.37;P =.034)是我们队列中 ALTR 存在的显著预测因子。在我们的队列中,该算法的检测 ALTR 的灵敏度为 86.4%,特异性为 60.2%。我们的算法具有最高的曲线下面积,是唯一一种对 ALTR 具有显著预测价值的指南(P =.014)。

结论

我们的算法包括患者报告的疼痛和血钴水平的性别特异性截断值,可以预测我们的 ASR XL 金属对金属患者队列中的 ALTR,并指示 MARS-MRI,具有高灵敏度。

证据水平

二级,诊断研究。

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