Multiparameter magnetic resonance imaging in the diagnosis of cancer of the cervix uteri

Cancer of the cervix uteri (CCU) ranks third in the incidence of malignancies in women. The choice of CCU treatment mainly depends on the extent of the tumor process, i.e. the stage of the disease. Determining the stage of CCU is based on the clinical classification of the International Federation of Gynecology and Obstetrics (FIGO) (2009) and has a number of substantial limitations in evaluating parametrial invasion, tumor spread to the pelvic wall, and involvement of regional lymph nodes and in determining the true tumor sizes. Magnetic resonance imaging (MRI) is now the method of choice in staging invasive CCU.Multiparameter MRI will be able to enhance the efficiency of diagnosing microinvasive CCU as well (FIGO 2009), to plan surgical and/or chemoradiation treatment, to evaluate its efficiency, and to diagnose locally recurrent CCU

The Role of Diffusion-weighted MRI and Follow-up Contrast-enhanced MRI in Correlation with the Adnexa MR Scoring System in the Diagnosis of Uterine Appendage Tumors

The paper analyzes the data available in the foreign and Russian literature over the past 10 years on main radiodiagnostic techniques and approaches in case of ovarian space-occupying lesions, by using both ultrasonic color Doppler mapping and complex MRI approaches in combination with routine MRI, diffusion-weighted MRI studies, and follow-up contrast-enhanced MRI. It shows that only the comprehensive introduction of the above radiodiagnostic techniques can achieve the necessary sensitivity and specificity of diagnosis of ovarian tumors. The system for assessing the risk index for ovarian tumor malignancy is discussed, by taking into account the menopausal status, the tumor marker CA-125, and ultrasonographic findings. The paper presents the Adnexa MR scoring system based on the breast imaging-reporting and data system (BI-RADS) that gives schemes for calculating and analyzing the risk of ovarian tumor malignancy in terms of certain MR criteria