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- W2353557295 abstract "Objective To evaluate the different magnetic resonance imaging sequences in the diagnosis of articular cartilage lesions with Meta analysis.Materials and Methods We searched PubMed,Embase,Cochrane Library,Chinese journal Full-text Database,WanFang Database,Chinese Biomedical Literature Database,and Chinese Scientific Journals Full text Database for the articles about magnetic resonance imaging on the diagnosis of articular cartilage lesions.According to QUADAS items,we enaluated the quality of the included studies.Using software RevMan 5.0 and Meta Disc 1.4,we calculated the pooled sensitivity,specificity and the pooled odds ratio.We drew the summary receiver operating characteristic curve(SROC) to evaluate accuracy of different magnetic resonance imaging sequences.Results We included 20 articles,the results revealed the pooled sensitivity,specificity and their 95% CI and the area under the receiver operating characteristic curve(AUC) of fast spin echo,proton density-weighted imaging,spoiled gradient recalled echo,fast imaging with steady precession,and steady state free precession were 0.753(0.727-0.777),0.967(0.959-0.973) and 0.9835;0.745(0.716-0.772),0.945(0.933-0.955) and 0.9588;0.851(0.825-0.875),0.958(0.948-0.966) and 0.9881;0.869(0.815-0.912),0.961(0.937-0.978) and 0.9153;0.740(0.673-0.912) and 0.901(0.875-0.922) respectively.Conclusion The current evidence indicates that MRI has a high diagnostic accuracy for articular cartilage lesions,combined the summary sensitivity,specificity and the AUC of different sequences,we recommend fast spen echo and spoiled gradient recalled echo for clinical application." @default.
- W2353557295 created "2016-06-24" @default.
- W2353557295 creator A5076944627 @default.
- W2353557295 date "2012-01-01" @default.
- W2353557295 modified "2023-09-27" @default.
- W2353557295 title "A Meta Analysis on the Diagnostic Value of Different Magnetic Resonance Imaging Sequences for Articular Cartilage Lesions" @default.
- W2353557295 hasPublicationYear "2012" @default.
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