Is there an association between clinical features, response to diagnostic analgesia and radiological findings in @entity1641 with a magnetic resonance imaging diagnosis of XXXX or other injuries of the podotrochlear apparatus?

@entity1641 @entity66 @entity79 @entity1796 @entity158 @entity130
UNASSIGNED: Previous descriptions of the clinical features of @entity66 occurred before the widespread use of magnetic resonance imaging (MRI) allowed a more definitive diagnosis of @entity158 . The objective of this study was to compare the clinical features of @entity1641 with lesions of the podotrochlear apparatus with those with other causes of @entity158 . It was hypothesised that @entity79 would be associated with more advanced radiological findings than other diagnoses. A retrospective study was performed of all @entity1641 examined at a referral centre with a definitive diagnosis of @entity158 based on MRI        post-mortem examination. Clinical examination findings, response to diagnostic analgesia and radiological grading of the navicular bone were compared among five diagnosis groups: (1) primary @entity79 ( @entity79 ); (2) lesions of the collateral sesamoidean ligament and/or distal sesamoidean impar ligament (CSL   +   DSIL); (3) primary @entity1796 ( @entity1796 ); (4) @entity79 and other lesions of the podotrochlear apparatus        @entity1796 (PTA) and (5) Other. There were 702 @entity1641 ( @entity79 , 62; CSL   +   DSIL, 180; @entity1796 , 69; PTA, 92; Other, 299). @entity1641 with PTA injuries were more frequently unilaterally lame than other groups (P   =   0.04). @entity1641 with @entity130 were more likely to exhibit @entity158 on turning than other groups (P   <0.01). There were no associations between response to diagnostic analgesia and diagnostic group, and no association between radiological grade and diagnostic group. Clinical examination findings generally did not discriminate between diseases of the PTA and other causes of @entity158 . Overall radiological scores of the navicular bone did not accurately predict @entity79 .
