Literature DB >> 12215031

Accuracy of clinical diagnosis in knee arthroscopy.

Stuart Brooks1, Mamdouh Morgan.   

Abstract

A prospective study of 238 patients was performed in a district general hospital to assess current diagnostic accuracy rates and to ascertain the use and the effectiveness of magnetic resonance imaging (MRI) scanning in reducing the number of negative arthroscopies. The pre-operative diagnosis of patients listed for knee arthroscopy was medial meniscus tear 94 (40%) and osteoarthritis 59 (25%). MRI scans were requested in 57 patients (24%) with medial meniscus tear representing 65% (37 patients). The correlation study was done between pre-operative diagnosis, MRI and arthroscopic diagnosis. Clinical diagnosis was as accurate as the MRI with 79% agreement between the preoperative diagnosis and arthroscopy compared to 77% agreement between MRI scan and arthroscopy. There was no evidence, in this study, that MRI scan can reduce the number of negative arthroscopies. Four normal MRI scans had positive arthroscopic diagnosis (two torn medial meniscus, one torn lateral meniscus and one chondromalacia patella). Out of 240 arthroscopies, there were only 10 normal knees (negative arthroscopy) representing 4% of the total number of knee arthroscopies; one patient of those 10 cases had MRI scan with ACL rupture diagnosis.

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Mesh:

Year:  2002        PMID: 12215031      PMCID: PMC2504219          DOI: 10.1308/003588402320439711

Source DB:  PubMed          Journal:  Ann R Coll Surg Engl        ISSN: 0035-8843            Impact factor:   1.891


  18 in total

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  12 in total

1.  The essence of the Japan Radiological Society/Japanese College of Radiology Imaging Guideline.

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Journal:  Int Orthop       Date:  2009-04-01       Impact factor: 3.075

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Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2011-08-11       Impact factor: 4.342

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Authors:  Peter Jonathan Dacombe
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Authors:  A Speziali; G Placella; M M Tei; A Georgoulis; G Cerulli
Journal:  Musculoskelet Surg       Date:  2015-02-17

7.  Vibroarthrography for early detection of knee osteoarthritis using normalized frequency features.

Authors:  Nima Befrui; Jens Elsner; Achim Flesser; Jacqueline Huvanandana; Oussama Jarrousse; Tuan Nam Le; Marcus Müller; Walther H W Schulze; Stefan Taing; Simon Weidert
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Authors:  Jolene C Hardy; Gregory T Evangelista; William A Grana; Robert E Hunter
Journal:  Sports Health       Date:  2012-05       Impact factor: 3.843

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