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      Progress of researches on the value of magnetic resonance imaging in the diagnosis of gynecologic malignancies

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          Abstract

          Gynecologic cancer, a class of malignant tumors originating from female reproductive systems, consists of approximately 20% of all female malignancies, which severely affects female health and causes disease, economic, social and family burdens. Imaging tools, such as ultrasound, CT and magnetic resonance imaging (MRI), have been widely used in screening and clinical diagnosis of gynecologic cancers, which provide insights into the pre-surgical evaluation and treatment planning. This review summarizes the advances of MRI in the diagnosis of common gynecologic cancers, including endometrial cancer, cervical cancer, vulvar cancer and ovarian cancer.

          Abstract

          摘要: 妇科恶性肿瘤是一类起源于女性生殖系统的恶性肿瘤, 约占女性恶性肿瘤总数的20%, 严重危害女性健康、造 成了极大疾病和经济、社会、家庭负担。而超声、CT、磁共振成像(MRI)等影像学技术在妇科恶性肿瘤筛查和临床诊断 中广泛应用, 为术前评估、治疗方案制定等提供了重要参考。本文主要就MRI在子宫内膜癌、宫颈癌、外阴癌、卵巢癌 等常见妇科恶性肿瘤诊断中的研宄进展作一综述。

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          Author and article information

          Journal
          CJRH
          Chinese Journal of Radiological Health
          Chinese Preventive Medical Association (Ji’an, China )
          1004-714X
          01 October 2021
          01 December 2021
          : 30
          : 5
          : 649-652
          Affiliations
          [1] 1Department of Gynaecology and Obstetrics, Hai’an Hospital of Traditional Chinese Medicine Affiliated to Yangzhou University Medical School, Hai’an 226600 China
          Article
          j.issn.1004-714X.2021.05.026
          10.13491/j.issn.1004-714X.2021.05.026
          27899efb-f6ea-4546-89da-4e206029360c
          © 2021 Chinese Journal of Radiological Health

          This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 Unported License (CC BY-NC 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See https://creativecommons.org/licenses/by-nc/4.0/.

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          Categories
          Journal Article

          Medicine,Image processing,Radiology & Imaging,Bioinformatics & Computational biology,Health & Social care,Public health
          Endometrial Cancer,Vulvar Cancer,Diagnostic Value,Magnetic Resonance Imaging,Ovarian Cancer,Tumor Staging,Cervical Cancer

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