MSKI-RADS: An MRI-based Musculoskeletal Infection Reporting and Data System for the Diagnosis of Extremity Infections.

IF 12.1 1区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Radiology Pub Date : 2024-08-01 DOI:10.1148/radiol.232914
Avneesh Chhabra, Erin F Alaia, Oganes Ashikyan, Philip K Wong, Alireza Eajazi, Atul Kumar Taneja, Philip Colucci, Gitanjali Bajaj, Josephina A Vossen, Parham Pezeshk, Claus Simpfendorfer, Fabiano N Cardoso, Aparna Komarraju, Ty Subhawong, Tarun Pandey, Jonathan Samet, Felipe Ferreira de Souza, Kenneth S Lee, Uma Thakur, Majid Chalian, Flavio Duarte Silva, Naveen Rajamohan, Mina Guirguis, Angela He, Karim Salhadar, Kavita Bhavan, Katherine Raspovic, Dane K Wukich, Yin Xi, William B Morrison
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Abstract

Background Current terms used to describe the MRI findings for musculoskeletal infections are nonspecific and inconsistent. Purpose To develop and validate an MRI-based musculoskeletal infection classification and scoring system. Materials and Methods In this retrospective cross-sectional internal validation study, a Musculoskeletal Infection Reporting and Data System (MSKI-RADS) was designed. Adult patients with radiographs and MRI scans of suspected extremity infections with a known reference standard obtained between June 2015 and May 2019 were included. The scoring categories were as follows: 0, incomplete imaging; I, negative for infection; II, superficial soft-tissue infection; III, deeper soft-tissue infection; IV, possible osteomyelitis (OM); V, highly suggestive of OM and/or septic arthritis; VI, known OM; and NOS (not otherwise specified), nonspecific bone lesions. Interreader agreement for 20 radiologists from 13 institutions (intraclass correlation coefficient [ICC]) and true-positive rates of MSKI-RADS were calculated and the accuracy of final diagnoses rendered by the readers was compared using generalized estimating equations for clustered data. Results Among paired radiographs and MRI scans from 208 patients (133 male, 75 female; mean age, 55 years ± 13 [SD]), 20 were category I; 34, II; 35, III; 30, IV; 35, V; 18, VI; and 36, NOS. Moderate interreader agreement was observed among the 20 readers (ICC, 0.70; 95% CI: 0.66, 0.75). There was no evidence of correlation between reader experience and overall accuracy (P = .94). The highest true-positive rate was for MSKI-RADS I and NOS at 88.7% (95% CI: 84.6, 91.7). The true-positive rate was 73% (95% CI: 63, 80) for MSKI-RADS V. Overall reader accuracy using MSKI-RADS across all patients was 65% ± 5, higher than final reader diagnoses at 55% ± 7 (P < .001). Conclusion MSKI-RADS is a valid system for standardized terminology and recommended management of imaging findings of peripheral extremity infections across various musculoskeletal-fellowship-trained reader experience levels. © RSNA, 2024 Supplemental material is available for this article. See also the editorial by Schweitzer in this issue.

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MSKI-RADS:基于磁共振成像的肌肉骨骼感染报告和数据系统,用于诊断四肢感染。
背景 目前用于描述肌肉骨骼感染 MRI 检查结果的术语缺乏特异性且不一致。目的 开发并验证基于磁共振成像的肌肉骨骼感染分类和评分系统。材料和方法 在这项回顾性横断面内部验证研究中,设计了肌肉骨骼感染报告和数据系统(MSKI-RADS)。研究纳入了在 2015 年 6 月至 2019 年 5 月期间获得的具有已知参考标准的疑似四肢感染的成人患者的 X 光片和 MRI 扫描。评分类别如下:0,成像不完整;I,感染阴性;II,表层软组织感染;III,深层软组织感染;IV,可能的骨髓炎(OM);V,高度提示 OM 和/或化脓性关节炎;VI,已知 OM;NOS(未另说明),非特异性骨病变。计算了来自 13 个机构的 20 位放射科医生的读片者之间的一致性(类内相关系数 [ICC])和 MSKI-RADS 的真实阳性率,并使用聚类数据的广义估计方程比较了读片者最终诊断的准确性。结果 在 208 名患者(133 名男性,75 名女性;平均年龄为 55 岁 ± 13 [SD])的成对射线照相和核磁共振扫描结果中,20 例为 I 类;34 例为 II 类;35 例为 III 类;30 例为 IV 类;35 例为 V 类;18 例为 VI 类;36 例为 NOS 类。在 20 位读者中观察到了中度的读者间一致性(ICC,0.70;95% CI:0.66,0.75)。没有证据表明阅读者的经验与总体准确率之间存在相关性(P = .94)。MSKI-RADS I 和 NOS 的真实阳性率最高,为 88.7% (95% CI: 84.6, 91.7)。所有患者使用 MSKI-RADS 的总体准确率为 65% ± 5,高于读者最终诊断的 55% ± 7(P < .001)。结论 MSKI-RADS 是一个有效的系统,可用于标准化术语和建议的外周肢体感染影像检查结果管理,适用于不同肌肉骨骼-研究员培训经验水平的读者。© RSNA, 2024 这篇文章有补充材料。另请参阅本期 Schweitzer 的社论。
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
Radiology
Radiology 医学-核医学
CiteScore
35.20
自引率
3.00%
发文量
596
审稿时长
3.6 months
期刊介绍: Published regularly since 1923 by the Radiological Society of North America (RSNA), Radiology has long been recognized as the authoritative reference for the most current, clinically relevant and highest quality research in the field of radiology. Each month the journal publishes approximately 240 pages of peer-reviewed original research, authoritative reviews, well-balanced commentary on significant articles, and expert opinion on new techniques and technologies. Radiology publishes cutting edge and impactful imaging research articles in radiology and medical imaging in order to help improve human health.
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