Does pelvic magnetic resonance imaging differentiate among the histologic subtypes of XXXX ?

@entity1 @entity548 @entity5 @entity1822 @entity10401 @entity4207 @entity11090 @entity2909
OBJECTIVE: To evaluate if pelvic magnetic resonance imaging (MRI) is reliable for differentiating @entity2909 subtypes. DESIGN: Prospective study. SETTING: @entity4207 center. @entity1 (S): Forty-five @entity1 underwent MRI before surgery for leiomyomata. INTERVENTION(S): One radiologist blinded to @entity1 history and histologic diagnosis recorded the MRI characteristics and classification of the @entity2909 . MAIN OUTCOME MEASURE(S): Comparison of MRI and histologic diagnoses. RESULT(S): @entity2909 subtypes were diagnosed accurately by MRI in 69% of cases. Magnetic resonance imaging had a 95% sensitivity and 72% specificity for diagnosing an uncomplicated @entity2909 and a 10% sensitivity and 100% specificity for a @entity2909 . For @entity10401 , the sensitivity was 80% and specificity was 98%, and for @entity548 , 100% and 86%, respectively. Magnetic resonance imaging correctly diagnosed all @entity5 and did not incorrectly diagnose a @entity2909 as a @entity1822 in any case. Ill-defined MRI margins were significantly more likely to be @entity1822 , whereas well-defined margins were characteristic of benign lesions. @entity548 were significantly more likely to be hyperintense on T1-weighted images than other subtypes. CONCLUSION(S): Although MRI is only fairly accurate in differentiating the subtypes of benign uterine smooth @entity11090 , signal intensities and margin characteristics are useful to distinguish accurately benign from @entity5 .
