使用双能量计算机断层扫描量化髂外淋巴结的长轴和短轴:一种潜在的假体周围关节感染诊断方法-一项前瞻性研究。

IF 2.9 3区 医学 Q2 INFECTIOUS DISEASES
Infection and Drug Resistance Pub Date : 2024-12-17 eCollection Date: 2024-01-01 DOI:10.2147/IDR.S497736
Yaji Yang, Haotian Zhou, Runxing Kang, Chen Zhao, Jia Li, Feilong Li, Yidong Shen, Yuelong Chen, Wei Huang, Leilei Qin
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引用次数: 0

摘要

目的:假体周围关节感染(PJI)是关节置换术后的严重并发症,目前缺乏快速、准确、无创的诊断方法。本研究旨在评估使用双能计算机断层扫描(DECT)来量化髂外淋巴结(LNs)的最大长轴和短轴作为PJI诊断工具的有效性。患者和方法:在这项前瞻性对照研究中,纳入了112例接受全髋关节或全膝关节翻修手术的患者。所有患者术前均行DECT扫描,测量患侧外髂LNs的最大长轴和短轴。采用受者工作特征曲线评价淋巴结大小对PJI的诊断价值。结果:AUC(曲线下面积)量化了本研究中诊断方法区分阳性和阴性结果的能力。接近1.0的值表示更好的区分性能。与红细胞沉降率(曲线下面积(Area Under the Curve, AUC) = 0.834)、多形核白细胞百分率(AUC = 0.621)、c反应蛋白(AUC = 0.765)相比,最大长轴(AUC =0.895)和最大短轴(AUC = 0.858)能更好地区分PJI与无菌性衰竭。诊断PJI时,LNs最大长轴阈值为20.5 mm,敏感性为84.21%,特异性为87.84%。对于最大短轴,阈值为8.5 mm,敏感性为89.47%,特异性为82.43%。结合髂外胫束最大长、短轴可提高PJI的诊断准确性。结论:DECT测量髂外胫束长轴和短轴是诊断PJI的有效方法,有助于区分PJI和关节置换术后无菌性衰竭。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantifying the Long and Short Axes of the External Iliac Lymph Nodes Using Dual-Energy Computed Tomography: A Potential Diagnostic Approach for Periprosthetic Joint Infection - A Prospective Study.

Purpose: Periprosthetic joint infection (PJI) is a severe complication following joint replacement surgery, and there is a current lack of rapid, accurate, and non-invasive diagnostic methods. This study aims to assess the effectiveness of using dual-energy computed tomography (DECT) to quantify the maximum long and short axes of the external iliac lymph nodes (LNs) as a diagnostic tool for PJI.

Patients and methods: In this prospective controlled study, 112 patients undergoing total hip or total knee revision surgery were enrolled. All patients underwent preoperative DECT scanning to measure the maximum long and short axes of the external iliac LNs on the affected side. The diagnostic value of lymph node size for PJI was assessed using receiver operating characteristic curves.

Results: The AUC (Area Under the Curve) quantifies the diagnostic method's ability to distinguish between positive and negative outcomes in this study. A value closer to 1.0 indicates better discriminatory performance. Compared to erythrocyte sedimentation rate (Area Under the Curve (AUC) = 0.834), percentage of polymorphonuclear leukocytes (AUC = 0.621), and C-reactive protein (AUC = 0.765), the maximum long axis (AUC =0.895) and maximum short axis (AUC = 0.858) of the external iliac LNs better differentiated PJI from aseptic failure. For diagnosing PJI, the threshold for the maximum long axis of the LNs was 20.5 mm, with a sensitivity of 84.21% and a specificity of 87.84%. For the maximum short axis, the threshold was 8.5 mm, with a sensitivity of 89.47% and a specificity of 82.43%. Combining the maximum long and short axes of the external iliac LNs enhanced the diagnostic accuracy for PJI.

Conclusion: Measuring the long and short axes of external iliac LNs using DECT is an effective diagnostic approach for PJI, aiding in the differentiation between PJI and aseptic failure following joint replacement surgery.

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来源期刊
Infection and Drug Resistance
Infection and Drug Resistance Medicine-Pharmacology (medical)
CiteScore
5.60
自引率
7.70%
发文量
826
审稿时长
16 weeks
期刊介绍: About Journal Editors Peer Reviewers Articles Article Publishing Charges Aims and Scope Call For Papers ISSN: 1178-6973 Editor-in-Chief: Professor Suresh Antony An international, peer-reviewed, open access journal that focuses on the optimal treatment of infection (bacterial, fungal and viral) and the development and institution of preventative strategies to minimize the development and spread of resistance.
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