医学
弯月面
磁共振成像
金标准(测试)
放射科
外侧半月板
韧带
超声波
内侧副韧带
关节镜检查
诊断准确性
内侧半月板
核医学
骨关节炎
病理
入射(几何)
物理
替代医学
光学
作者
Ahmed Elshimy,Ahmed Osman,Mohamed El Sayed Awad,Mohamed M Abdel Aziz
出处
期刊:Acta Radiologica
[SAGE Publishing]
日期:2021-12-01
卷期号:64 (7): 2283-2292
被引量:7
标识
DOI:10.1177/02841851211058280
摘要
Although magnetic resonance imaging (MRI) is often the "gold standard" for diagnosing knee problems, it has many limitations. Therefore, ultrasonography has been suggested as an effective rapid alternative in many knee abnormalities, especially after injuries of the meniscus and collateral ligaments.To determine the diagnostic accuracy of point-of-care ultrasound (POCUS) in detecting injuries of the meniscus and collateral ligament compared to MRI.An observational cross-sectional blinded study was conducted of 60 patients with clinically suspicious meniscus and collateral ligament injuries who were planned for an arthroscopy and or operative procedure. These patients underwent both blinded POCUS and MRI of the knees before the intervention procedure and results of both imaging modalities were compared according to the operative and arthroscopic findings.The preoperative reliability of POCUS compared to MRI for the assessment of meniscus injuries was sensitivity (92.9% vs. 90.5%), specificity (88.9% vs. 83.3%), positive predictive value (PPV; 95.1% vs. 92.7%), negative predictive value (NPV; 84.2% vs. 79%), and overall accuracy (91.7% vs. 88.3%). However, for diagnosing collateral ligament injures, POCUS versus MRI assessed sensitivity (92.3% vs. 88.5%), specificity (100% vs. 97.1%), PPV (100% vs. 95.8%), NPV (94.4% vs. 91.7%), and overall accuracy (96.7% vs. 93.3%).Ultrasonography is a useful screening tool for the initial diagnosis of meniscal and collateral ligament pathology compared to or even with potential advantages over MRI, especially when MRI is unavailable or contraindicated. As newly advanced portable ultrasonography becomes available, it could be considered as a point-of-injury diagnostic modality.
科研通智能强力驱动
Strongly Powered by AbleSci AI