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磁共振成像和超声检查在检测肩袖撕裂中的敏感性

The Sensitivity of Magnetic Resonance Imaging and Ultrasonography in Detecting Rotator Cuff Tears.

作者信息

Apostolopoulos Alexandros P, Angelis Stavros, Yallapragada Rahi Kiran, Khan Shamsul, Nadjafi Jila, Balfousias Theodore, Selvan Thiyagarajah P

机构信息

Orthopedics, East Surrey Hospital, Surrey and Sussex Healthcare National Health Service Trust, Redhill, GBR.

Orthopedics, General Hospital Hellenic Red Cross Korgialenio - Benakio, Athens, GRC.

出版信息

Cureus. 2019 May 1;11(5):e4581. doi: 10.7759/cureus.4581.

Abstract

Shoulder pain is a common cause of morbidity in the general population. Differential diagnosis may be difficult. Soft tissue shoulder disorders are the most common causes of shoulder pain. Noninvasive imaging techniques can reveal rotator cuff (RC) pathologies. These include ultrasonography (US) and MRI. Minimally invasive techniques such as magnetic resonance arthrography (MRA) can also be recruited when required. We conducted a retrospective study of 61 consecutive patients with shoulder pain, who had undergone preoperative imaging in the form of US or MRI and subsequently proceeded to arthroscopic surgery. Nineteen patients had a US and 42 had an MRI preoperative imaging evaluation. This evaluation was compared to the operative findings. The US sensitivity was 87%, while specificity was 63%. The MRI accuracy rose to a sensitivity of 95% when specificity was 72%. The positive predictive value (PPV) was 64% for US and 76% for MRI. The negative predictive value (NPV) was 87% for US and 94% for MRI. The overall accuracy of the ultrasound was 73% and of the MRI 83%.

摘要

肩部疼痛是普通人群发病的常见原因。鉴别诊断可能存在困难。肩部软组织疾病是肩部疼痛最常见的原因。非侵入性成像技术能够揭示肩袖(RC)病变。这些技术包括超声检查(US)和磁共振成像(MRI)。必要时也可采用磁共振关节造影(MRA)等微创技术。我们对61例连续的肩部疼痛患者进行了一项回顾性研究,这些患者术前接受了US或MRI形式的成像检查,随后接受了关节镜手术。19例患者进行了US检查,42例进行了MRI术前成像评估。将该评估结果与手术结果进行比较。US的敏感性为87%,特异性为63%。当特异性为72%时,MRI的准确性提高到敏感性为95%。US的阳性预测值(PPV)为64%,MRI为76%。US的阴性预测值(NPV)为87%,MRI为94%。超声的总体准确性为73%,MRI为83%。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05db/6605695/43a2af41d190/cureus-0011-00000004581-i01.jpg

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