Decision tree analysis of pelvic MRI in diagnosis of endometrial cancer with ovarian malignant tumor / 中国介入影像与治疗学

ABSTRACT

Objective To explore the value of pelvic MRI combined with clinical information in diagnosis of endometrial cancer (EC) with ovarian malignant tumor (OMT) using decision tree analysis.Methods The clinical information and pelvic MRI characteristics of 58 cases with ovarian malignant tumor (EC-OMT group) and 743 cases without ovarian malignant tumor (EC group) were reviewed and compared.The diagnostic efficacy of pelvic MRI was evaluated.Decision tree analysis was used in determining the performance on the diagnosis.Results In EC-OMT group,the depth of myometrial invasion,the frequency of cervical and cornua uteri involvement,adnexal mass,pelvic or para-aortic lymph nodes involvement and peritoneum metastasis were higher than those in EC group (all P＜0.01).Para-uterine involvement showed no significant difference between two groups (1.72％ vs 0.40％,P=0.26).In diagnosis of EC with OMT,the sensitivity and specificity value of MRI was 51.72％ (30/58) and 99.87％ (742/743),respectively.Cornua uteri involvement,adnexal mass and CA125 level were screened as helpful indicators for pre-operation diagnosis by decision tree,and the sensitivity was 89.66％ (52/58).Conclusion The diagnosis model of pelvic MRI combined with clinical information by using decision tree analysis can promote sensitivity in diagnosis of EC with OMT.