OBJECTIVES: The relation between @entity62 ( @entity62 ) and @entity6 is still debated. The aim of this study was to investigate the correlation between typical @entity62 - and @entity6 -related magnetic resonance imaging (MRI) findings in a cohort of @entity1 scheduled for carotid endarterectomy (CEA). MATERIALS AND METHODS: Ninety-three consecutive @entity1 (mean age 71  9years; male 71) were included in a single-centre retrospective study. All the @entity1 underwent MRI as baseline evaluation prior to CEA. A neuroradiologist blinded to the presence of risk factors calculated @entity62 volume and number of lesions on FLAIR images using a semi-automated segmentation technique. Receiver operating characteristics analysis was performed to search for any association between @entity62 volume and the number of @entity62 . The Mann-Whitney tests were used to determine significant @entity62 differences between @entity6 and non- @entity6 @entity1 . Logistic regression analysis was performed to evaluate the potential association of other variables. RESULTS: The prevalence of @entity6 was 20.4% (n=19). @entity62 volume and number of @entity62 were significantly associated with @entity6 (P=0.001). A statistically significant difference in @entity62 volume was found between @entity6 and non- @entity6 @entity1 (P<0.0001). Only @entity6 , among all the investigated variables ( @entity62 volume, CAD status, age, smoking status, gender, @entity101 , @entity407 , @entity6 ) was significantly associated with @entity62 (P=0.0001). CONCLUSION: Our results demonstrate a strong statistical correlation between @entity6 and @entity62 . Future scientific challenges could include the identification of potential therapeutic targets and the creation of dedicated screening protocols for @entity62 in @entity6 @entity1 other than the simple measurement of @entity10334 total burden.

Is there an association between @entity10334 volume and XXXX ?

@entity1 :: ('9606', 'Species') :: ['patients'] @entity407 :: ('MESH:D006949', 'Disease') :: ['hyperlipidemia'] @entity101 :: ('MESH:D006973', 'Disease') :: ['hypertension'] @entity6 :: ('MESH:D003920', 'Disease') :: ['diabetic', 'diabetes'] @entity10334 :: ('MESH:D049292', 'Disease') :: ['leukoaraiosis'] @entity62 :: ('MESH:D056784', 'Disease') :: ['WML lesions', 'WML', 'white matter loss']
@entity6 :: (MESH:D003920,Disease) :: ['diabetes']
