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1.5 特斯拉磁共振成像用于诊断前交叉韧带、半月板及膝关节软骨损伤的准确性测量及假阴性病变特征:一项 III 级预后研究

Accuracy measures of 1.5-tesla MRI for the diagnosis of ACL, meniscus and articular knee cartilage damage and characteristics of false negative lesions: a level III prognostic study.

作者信息

Koch Jonathan E J, Ben-Elyahu Ron, Khateeb Basel, Ringart Michael, Nyska Meir, Ohana Nissim, Mann Gideon, Hetsroni Iftach

机构信息

Department of Orthopedic Surgery, Meir General Hospital, Kfar Saba, and Sackler Faculty of Medicine, Tel Aviv University, Tsharnichovski street 59, 44281, Kfar Saba, Israel.

MOR-MAR Ltd., Hassadna street 6, Kfar Saba, Israel.

出版信息

BMC Musculoskelet Disord. 2021 Jan 29;22(1):124. doi: 10.1186/s12891-021-04011-3.

Abstract

BACKGROUND

MRI is the most accurate imaging modality for diagnosing knee pathologies. However, there is uncertainty concerning factors predicting false negative MRI, such as meniscal tear patterns as well as patient factors. The aims of this study were to report 1.5-Tesla MRI accuracy of ACL, meniscus and articular cartilage damage and characterize false negative lesions.

METHODS

Two hundred eighteen consecutive knee arthroscopies performed in our institution between 2013 and 2016 and their respective prospectively-collected MRI reports were reviewed. Inclusion criteria were age > 15 years-old, primary arthroscopy, 1.5-Tesla MRI performed at the same institution, and time interval MRI-surgery < 6 months. Exclusion criteria were revision arthroscopy and arthroscopic-assisted fracture fixation or multiligament surgery. Accuracy measures and Kappa coefficients were calculated comparing the MRI diagnosis to the arthroscopic findings. Moreover, the arthroscopic findings of false negative MRI were compared to the findings of true positive MRI using the Fisher-exact test. Pearson correlation was used for testing the correlation between MRI accuracy and patient age.

RESULTS

The highest accuracy was observed in medial meniscus and in ACL findings. For the medial meniscus sensitivity, specificity, agreement, and Kappa coefficient were 77, 92, 86%, and 0.7, and for the ACL these measures were 82, 97, 87%, and 0.73. MRI accuracy was lower in the lateral meniscus and articular cartilage with Kappa coefficient 0.42 and 0.3, respectively. More specifically, short peripheral tears in the posterior horn of the medial meniscus were characteristic of false negative findings compared to true positive findings of the MRI (p <  0.01). MRI accuracy correlated negatively compared to arthroscopic findings with patient age for the medial meniscus (r = - 0.21, p = 0.002) and for articular cartilage damage (r = - 0.45, p <  0.001).

CONCLUSION

1.5-Tesla MRI will accurately diagnose ACL and medial meniscal tears and can reliably complete the diagnostic workup following physical examination, particularly in young adults. This modality however is not reliable for diagnosing short peripheral tears at the posterior horn of the medial meniscus and partial thickness articular cartilage lesion of the femoral condyles. For these lesions, definitive diagnosis may require cartilage-specific MRI sequences or direct arthroscopic evaluation.

LEVEL OF EVIDENCE

Prognostic study, Level III.

摘要

背景

磁共振成像(MRI)是诊断膝关节病变最准确的成像方式。然而,对于预测MRI假阴性的因素,如半月板撕裂模式以及患者因素,仍存在不确定性。本研究的目的是报告1.5特斯拉MRI对前交叉韧带(ACL)、半月板和关节软骨损伤的诊断准确性,并对假阴性病变进行特征描述。

方法

回顾了2013年至2016年在本机构连续进行的218例膝关节关节镜检查及其各自前瞻性收集的MRI报告。纳入标准为年龄>15岁、初次关节镜检查、在同一机构进行的1.5特斯拉MRI检查以及MRI与手术的时间间隔<6个月。排除标准为翻修关节镜检查以及关节镜辅助骨折固定或多韧带手术。将MRI诊断与关节镜检查结果进行比较,计算准确性指标和Kappa系数。此外,使用Fisher精确检验将MRI假阴性的关节镜检查结果与真阳性MRI的结果进行比较。采用Pearson相关性分析来检验MRI准确性与患者年龄之间的相关性。

结果

内侧半月板和ACL检查的准确性最高。内侧半月板的敏感性、特异性、一致性和Kappa系数分别为77%、92%、86%和0.7,ACL的这些指标分别为82%、97%、87%和0.73。外侧半月板和关节软骨的MRI准确性较低,Kappa系数分别为0.42和0.3。更具体地说,与MRI的真阳性结果相比,内侧半月板后角短的周边撕裂是假阴性结果的特征(p<0.01)。与关节镜检查结果相比,内侧半月板(r=-0.21,p=0.002)和关节软骨损伤(r=-0.45,p<0.001)的MRI准确性与患者年龄呈负相关。

结论

1.5特斯拉MRI能够准确诊断ACL和内侧半月板撕裂,并且在体格检查后能够可靠地完成诊断工作,尤其是在年轻人中。然而,这种方式对于诊断内侧半月板后角短的周边撕裂和股骨髁的部分厚度关节软骨损伤并不可靠。对于这些病变,明确诊断可能需要特定的软骨MRI序列或直接的关节镜评估。

证据水平

预后研究,III级。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9630/7847141/aacf7cb702dd/12891_2021_4011_Fig1_HTML.jpg

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