OBJECTIVE: To compare two treatment strategies in @entity1 undergoing surgery for @entity1204 . DESIGN: Retrospective cohort study. SETTING: Tertiary care center. POPULATION: A total of 1166 @entity1 . Uterine biopsy/curettage was obtained in 1140 @entity1 , of whom 229 also had pelvic magnetic resonance imaging (MRI). METHODS: We compared two strategies: 1) routine pelvic lymphadenectomy, 2) selective pelvic lymphadenectomy for @entity1 with @entity189 according to preoperative histology and MRI. High-risk @entity189 included grade 1-2 @entity4348 with >= 50% myometrial invasion, grade 3 @entity4348 , and @entity189 . Others were considered @entity189 . MAIN OUTCOME MEASURES: Diagnostic indices, treatment algorithms. RESULTS: Of the @entity1 who underwent lymphadenectomy, positive pelvic nodes were found in 2.3% of @entity189 and 18.3% of @entity189 . The combination of preoperative histology and MRI detected @entity189 with a sensitivity of 85.7%, specificity of 75.0%, positive predictive value of 74.4%, and negative predictive value of 86.1%. Area under curve was 0.804. In the routine lymphadenectomy algorithm, 54.1% of lymphadenectomies were performed for @entity189 . In the selective lymphadenectomy algorithm, 14.3% of @entity1 with @entity189 did not receive lymphadenectomy. Missed positive pelvic nodes were estimated to occur in 2.1% of @entity1 in the selective strategy. Similarly, the estimated risk for isolated para-aortic @entity3 was 2.1%, regardless of treatment strategy. CONCLUSIONS: The combination of preoperative histology and MRI is moderately sensitive and specific in detecting high-risk @entity1204 . The clinical utility of the method is hampered by the relatively high proportion of high-risk cases that remain unrecognized preoperatively. This article is protected by copyright. All rights reserved.

Combined use of endometrial sample and magnetic resonance imaging in the preoperative risk-stratification of XXXX .

@entity1 :: ('9606', 'Species') :: ['women', 'patients'] @entity1204 :: ('MESH:D016889', 'Disease') :: ['endometrial carcinoma', 'endometrial carcinomas'] @entity189 :: ('MESH:D002277', 'Disease') :: ['low-risk carcinomas', 'carcinomas', 'high-risk carcinomas', 'nonendometrioid carcinomas'] @entity3 :: ('MESH:D009362', 'Disease') :: ['metastasis'] @entity4348 :: ('MESH:D018269', 'Disease') :: ['endometrioid carcinomas']
@entity1204 :: (MESH:D016889,Disease) :: ['endometrial carcinomas']
