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Progress of MRI in evaluation of pelvic lymph node metastasis from cervical cancer
XU Xiaoqian  KANG Liqing  LIU Fenghai 

Cite this article as: XU X Q, KANG L Q, LIU F H. Progress of MRI in evaluation of pelvic lymph node metastasis from cervical cancer[J]. Chin J Magn Reson Imaging, 2023, 14(10): 183-188. DOI:10.12015/issn.1674-8034.2023.10.033.


[Abstract] Cervical cancer is the fourth leading cause of cancer-related deaths in women. Pelvic lymph nodes metastasis (PLNM) is the most important route of dissemination. The accurate assessment of PLNM is beneficial for further improving risk stratification and individualization of treatment, so as to improve the outcome of cervical cancer patients. MRI is the most commonly used non-invasive method for pretreatment pelvic lymph node assessment. In this review, we comprehensively review the value and study progress of conventional MRI, functional MRI and MRI-related intelligent imaging methods in evaluating pelvic lymph node metastasis from cervical cancer, in order to accurately and efficiently identify the status of lymph nodes before surgery and provide imaging guidance for the development of personalized and precise treatment strategies in clinical practice.
[Keywords] cervical cancer；lymph node metastasis；magnetic resonance imaging；radiomics；deep learning

XU Xiaoqian1   KANG Liqing1, 2*   LIU Fenghai1, 2  

1 Department of Magnetic Resonance Imaging, Medical University affiliated Cangzhou Central Hospital, Cangzhou 061000, China

2 Department of Magnetic Resonance Imaging, Cangzhou Central Hospital, Cangzhou 061000, China

Corresponding author: KANG L Q, E-mail: 1513203473@qq.com

Conflicts of interest   None.

ACKNOWLEDGMENTS Research and Development Program of Cangzhou (No. 183302016).
Received  2023-07-25
Accepted  2023-10-04
DOI: 10.12015/issn.1674-8034.2023.10.033
Cite this article as: XU X Q, KANG L Q, LIU F H. Progress of MRI in evaluation of pelvic lymph node metastasis from cervical cancer[J]. Chin J Magn Reson Imaging, 2023, 14(10): 183-188. DOI:10.12015/issn.1674-8034.2023.10.033.

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