Abstract: Objective: To analyze the MRI performance of large sample cases of cervical patients and explore different histological types and classification of cervical tumor by MRI performance characteristics and their corresponding pathological histology and then evaluate the value of MRI in diagnose of cervical benign and malignant lesions. Methods: We randomly selected 620 cases of cervical cancer patients that were pathology confirmed and received surgery in our hospital, accounted for 655 lesions. All cases were performed MR scan, dynamic enhance, diffusion weighted imaging in order to explore the distribution of cervical malignant and benign lesions; Analyzed the diagnostic sensitivity and specificity of MR on invasive and non-invasive cervical cancer and made comparisons between contrast-enhanced ultrasonography and MRI in the diagnosis of tumor size infiltration depth Near the palace infiltration, lymph node metastasis and clinical staging accuracy. Results: There can be found 405 malignant cervical lesions and 250 benign cervical lesions. The benign lesions were in a diameter of 1.50 cm, malignant lesions were in a diameter of 2.32 cm; the benign lesions were in the median age of 40.42 years old and the malignant lesions were in the median age of 46.57 years old; The cervical MR effectiveness for the diagnosis of invasive cervical cancer(sensitivity and specificity) was higher than non-invasive cervical cancer(<i<P</i<<0.05); The accuracy of MRI in the diagnosis of palace next to the infiltration was 92.3%, the accuracy of MRI in the diagnosis of lymph node metastasis was 93.4%, the accuracy of MRI in the diagnosis of clinical stage was 95.2%, the accuracy of MRI were higher than ultrasound imaging accuracy(<i<P</i<<0.05). Conclusions: The MRI effectiveness for the diagnosis of invasive cervical cancer(sensitivity and specificity) was higher than non-invasive cervical cancer(<i<P</i<<0.05); the accuracy of MRI in the diagnosis of palace next to the infiltration, lymph node metastasis and clinical stage were higher than ultrasound imaging accuracy(<i<P</i<<0.05). Studies have shown that MRI played an important role in cervical cancer diagnosis, skilled and improvement of MRI techniques could improve the correct rate of diagnosing of cervical cancer.