ISSN 1004-4140
CN 11-3017/P
Volume 24 Issue 4
Aug.  2015
Turn off MathJax
Article Contents
WU Hui-qin, QIAN Chun-mei. The Application of MRI in the Diagnosis of Cervical Cancer[J]. CT Theory and Applications, 2015, 24(4): 581-586. DOI: 10.15953/j.1004-4140.2015.24.04.12
Citation: WU Hui-qin, QIAN Chun-mei. The Application of MRI in the Diagnosis of Cervical Cancer[J]. CT Theory and Applications, 2015, 24(4): 581-586. DOI: 10.15953/j.1004-4140.2015.24.04.12

The Application of MRI in the Diagnosis of Cervical Cancer

More Information
  • Received Date: April 09, 2015
  • Available Online: December 08, 2022
  • 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.
  • Cited by

    Periodical cited type(4)

    1. 尹振琪,吴俊峰,朱石柱. 人工智能辅助诊断系统结合低剂量CT在肺小结节筛查中的应用进展. 影像研究与医学应用. 2024(24): 7-9 .
    2. 王璟琛,柴军. 人工智能体积密度法判断肺亚实性结节的浸润性研究. CT理论与应用研究. 2023(02): 241-248 . 本站查看
    3. 王和良,苏良宝,蔡少辉,杜丽珠. 人工智能辅助诊断系统在肺结节CT检测中的应用分析. 中国医疗器械信息. 2023(05): 91-93+161 .
    4. 苏寅晨,张晓琴. 人工智能在肺结节检测及诊断中的应用进展. 内蒙古医学杂志. 2023(04): 506-508 .

    Other cited types(1)

Catalog

    Article views (763) PDF downloads (2) Cited by(5)
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return