BACKGROUND: Imaging findings of residual cervical @entity5 after chemoradiotherapy can closely resemble those of @entity32 . PURPOSE: To determine the diagnostic performance of magnetic resonance imaging (MRI) in evaluating @entity66 after chemoradiotherapy in @entity1 with locally advanced @entity2622 (LACC). MATERIAL AND METHODS: Retrospective analysis of prospectively collected data from 41 @entity1 with histopathologically proven LACC (International Federation of Gynecology and Obstetrics stage >= @entity3847 ) who underwent MRI before and after chemoradiotherapy. At each examination, a qualitative and semi-quantitative analysis of @entity5 , including @entity5 volume and signal intensity were assessed on T2-weighted (T2W) images. All @entity1 had surgery after post-chemoradiotherapy MRI. MRI and histopathologic results were compared. RESULTS: All @entity1 showed significant difference in @entity5 volume and signal intensity between pre- and post-chemoradiotherapy MRI (P   <   0.0001). According to pathology, 27/41 (66%) @entity1 had true negative and 2/41 (5%) had true positive post-chemoradiotherapy MRI. Eleven out of 41 (27%) @entity1 showed @entity32 with false positive post-chemoradiotherapy MRI and 1/41 (2%) had a false negative post-chemoradiotherapy MRI. Sensitivity, specificity, accuracy, positive predictive values, and negative predictive values of post-chemoradiotherapy MRI in predicting @entity66 were 69%, 71%, 71%, 15%, and 96%, respectively. CONCLUSION: The differentiation of @entity41 from @entity32 with early post- chemoradiotherapy MRI (within 28-60 days) is difficult with a high risk of false positive results. Combination of qualitative and semi-quantitative analysis does not improve the accuracy. Conversely, post-chemoradiotherapy MRI has a high negative predictive value with a low risk of false negative results. The role of conventional MRI combined with functional techniques should be evaluated.

XXXX response to neoadjuvant chemoradiotherapy: MRI assessment compared with surgery.

@entity1 :: ('9606', 'Species') :: ['patients'] @entity32 :: ('MESH:D007249', 'Disease') :: ['inflammation', 'post-irradiation inflammation'] @entity66 :: ('MESH:D004194', 'Disease') :: ['residual disease'] @entity41 :: ('MESH:D018365', 'Disease') :: ['residual tumor'] @entity5 :: ('MESH:D009369', 'Disease') :: ['tumor', 'primary tumor'] @entity2622 :: ('MESH:D002583', 'Disease') :: ['cervical carcinoma'] @entity3847 :: ('23542', 'Gene') :: ['IB2']
@entity5 :: (MESH:D009369,Disease) :: ['Cervical cancer']
