OBJECTIVES: To evaluate pelvic magnetic resonance imaging (MRI) interobserver agreement for the detection of deep myometrial invasion, cervical stroma invasion and lymph node @entity3 in @entity1204 @entity1 in relation to surgical staging. METHODS: Fifty-seven @entity1 with histologically confirmed @entity1204 were prospectively included in a study of preoperative 1.5-T MRI. Four radiologists, blinded to @entity1 data, independently reviewed the images for the presence of deep myometrial invasion, cervical stroma invasion and lymph node @entity3 . Kappa coefficients for interobserver agreement and diagnostic performances for each observer were calculated using final surgical staging results (FIGO 09) as reference standard. RESULTS: Overall agreement among all observers was moderate for cervical stroma invasion (k   =   0.50 [95% CI 0.27-0.73]) and lymph node @entity3 (k   =   0.56 [0.09-0.80]) and fair for deep myometrial invasion (k   =   0.39 [0.26-0.55]). Sensitivity (specificity) values for the four observers were 72-92% (44-63%) for deep myometrial invasion, 38-63% (82-94%) for cervical stroma invasion and 25-38% (90-100%) for lymph node @entity3 . CONCLUSIONS: Conventional MRI showed only modest interobserver agreement and diagnostic accuracy for detection of deep myometrial invasion, cervical stroma invasion and lymph node @entity3 . Improved methods are needed for preoperative imaging in the staging of @entity1204 . KEY POINTS: MRI is an important tool for preoperative @entity1204 staging.     Staging agreement based on pelvic MRI was modest among different observers.     Preoperative MRI alone was suboptimal in identifying high-risk @entity1 .     Improved imaging and biomarkers may refine preoperative risk stratification in @entity1204 .

Standard 1.5-T MRI of XXXX : modest agreement between radiologists.

@entity1204 :: ('MESH:D016889', 'Disease') :: ['endometrial carcinoma', 'endometrial cancer', 'endometrial carcinomas'] @entity1 :: ('9606', 'Species') :: ['patients', 'patient'] @entity3 :: ('MESH:D009362', 'Disease') :: ['metastases']
@entity1204 :: (MESH:D016889,Disease) :: ['endometrial carcinomas']
