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痛风分类的影像学检查方法:系统文献综述与荟萃分析

Imaging modalities for the classification of gout: systematic literature review and meta-analysis.

作者信息

Ogdie Alexis, Taylor William J, Weatherall Mark, Fransen Jaap, Jansen Tim L, Neogi Tuhina, Schumacher H Ralph, Dalbeth Nicola

机构信息

Division of Rheumatology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Department of Medicine, University of Otago, Wellington, New Zealand.

出版信息

Ann Rheum Dis. 2015 Oct;74(10):1868-74. doi: 10.1136/annrheumdis-2014-205431. Epub 2014 Jun 10.

Abstract

BACKGROUND

Although there has been major progress in gout imaging, no gout classification criteria currently include advanced imaging techniques.

OBJECTIVE

To examine the usefulness of imaging modalities in the classification of gout when compared to monosodium urate (MSU) crystal confirmation as the gold standard, in order to inform development of new gout classification criteria.

METHODS

We systematically reviewed the published literature concerning the diagnostic performance of plain film radiography, MRI, ultrasound (US), conventional CT and dual energy CT (DECT). Only studies with MSU crystal confirmation as the gold standard were included. When more than one study examined the same imaging feature, the data were pooled and summary test characteristics were calculated.

RESULTS

11 studies (9 manuscripts and 2 meeting abstracts) satisfied the inclusion criteria. All were set in secondary care, with mean gout disease duration of at least 7 years. Three features were examined in more than one study: the double contour sign (DCS) on US, tophus on US, and MSU crystal deposition on DECT. The pooled (95% CI) sensitivity and specificity of US DCS were 0.83 (0.72 to 0.91) and 0.76 (0.68 to 0.83), respectively; of US tophus, were 0.65 (0.34 to 0.87) and 0.80 (0.38 to 0.96), respectively; and of DECT, were 0.87 (0.79 to 0.93) and 0.84 (0.75 to 0.90), respectively.

CONCLUSIONS

US and DECT show promise for gout classification but the few studies to date have mostly been in patients with longstanding, established disease. The contribution of imaging over clinical features for gout classification criteria requires further examination.

摘要

背景

尽管痛风成像技术已取得重大进展,但目前尚无痛风分类标准纳入先进的成像技术。

目的

与作为金标准的尿酸钠(MSU)晶体确认法相比,研究成像方式在痛风分类中的实用性,以便为制定新的痛风分类标准提供依据。

方法

我们系统回顾了关于X线平片、MRI、超声(US)、传统CT和双能CT(DECT)诊断性能的已发表文献。仅纳入以MSU晶体确认作为金标准的研究。当有多篇研究检测相同的成像特征时,汇总数据并计算汇总检验特征。

结果

11项研究(9篇手稿和2篇会议摘要)符合纳入标准。所有研究均在二级医疗机构开展,痛风平均病程至少7年。超过一项研究检测了三个特征:超声上的双轮廓征(DCS)、超声上的痛风石以及DECT上的MSU晶体沉积。超声DCS的汇总(95%CI)敏感性和特异性分别为0.83(0.72至0.91)和0.76(0.68至0.83);超声痛风石的敏感性和特异性分别为0.65(0.34至0.87)和0.80(0.38至0.96);DECT的敏感性和特异性分别为0.87(0.79至0.93)和0.84(0.75至0.90)。

结论

超声和双能CT在痛风分类方面显示出前景,但迄今为止的少数研究大多针对长期患痛风的患者。成像在痛风分类标准中相对于临床特征的作用需要进一步研究。

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本文引用的文献

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Dual-energy CT for the diagnosis of gout: an accuracy and diagnostic yield study.双能CT诊断痛风:准确性及诊断率研究
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Usefulness of ultrasonography in the diagnosis of gout: a meta-analysis.超声检查在痛风诊断中的应用价值:一项Meta分析
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Management of gout in primary care: challenges and potential solutions.基层医疗中痛风的管理:挑战与潜在解决方案
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New classification criteria for gout: a framework for progress.痛风新分类标准:进展的框架。
Rheumatology (Oxford). 2013 Oct;52(10):1748-53. doi: 10.1093/rheumatology/ket154. Epub 2013 Apr 22.
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Dual-energy computed tomography for gout diagnosis and management.双能 CT 诊断与管理痛风。
Curr Rheumatol Rep. 2013 Jan;15(1):301. doi: 10.1007/s11926-012-0301-3.
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