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预防医学  2025, Vol. 37 Issue (8): 794-798    DOI: 10.19485/j.cnki.issn2096-5087.2025.08.008
  综述 本期目录 | 过刊浏览 | 高级检索 |
女性盆底功能障碍性疾病评估研究进展
俞雅沁1, 赵丽2 综述, 谢臻蔚2 审校
1.浙江大学医学院,浙江 杭州 310058;
2.浙江大学医学院附属妇产科医院,浙江 杭州 310006
Assessment of pelvic floor dysfunction in female:a review
YU Yaqin1, ZHAO Li2, XIE Zhenwei2
1. School of Medicine, Zhejiang University, Hangzhou, Zhejiang 310058, China;
2. Women's Hospital School of Medicine Zhejiang University, Hangzhou, Zhejiang 310006, China
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摘要 女性盆底功能障碍性疾病(PFD)患病率达17.8%~74.07%,约30%患者伴随焦虑、抑郁等心理问题,严重影响患者生活质量。目前PFD的评估手段以盆腔器官脱垂定量分度法、二维超声等临床常用技术为基础,但存在主观性强、操作复杂及无法实时动态评估的局限性。近年来,高密度肌电图、三维超声、特异性生物标志物及人工智能等新技术通过补充动态功能数据、分子层面证据,与临床常用技术协同实现“结构-功能-分子”多维度评估PFD。本文检索中国知网、PubMed等数据库2019—2024年发表的有关PFD评估的相关文献,对临床常用技术的应用现状和价值、新技术评估的核心特征及两者的整合路径进行综述,为PFD的个体化诊疗提供循证依据。
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俞雅沁
赵丽
谢臻蔚
关键词 盆底功能障碍性疾病高密度肌电图生物标志物人工智能    
Abstract:The prevalence of female pelvic floor dysfunction (PFD) ranges from 17.8% to 74.07%, with approximately 30% of patients experiencing comorbid anxiety, depression, or other psychological disorders, severely impairing their quality of life. Current assessment methods for PFD are primarily based on clinical techniques such as the pelvic organ prolapse quantification and two-dimensional ultrasound. But they are limited by high subjectivity, operational complexity, and the inability to provide real-time dynamic evaluation. In recent years, emerging technologies including high-density electromyography, three-dimensional ultrasound, specific biomarkers, and artificial intelligence have complemented conventional clinical methods by providing dynamic functional data and molecular-level evidence, achieving multidimensional “structure-function-molecular”assessment of PFD. The relevant literature on PFD assessment published in CNKI, PubMed, and other databases from 2019 to 2024 were retrieved. The current application status and value of commonly used clinical techniques, the core characteristics of emerging technology assessments, and the integration path between the two were reviewed, so as to provide the evidence for individualized diagnosis and treatment of PFD.
Key wordspelvic floor dysfunction    high-density electromyography    biomarker    artificial intelligence
收稿日期: 2025-05-06      修回日期: 2025-07-13      出版日期: 2025-08-10
中图分类号:  R711.5  
基金资助:浙江省卫生健康重大科技计划项目(WKJ-ZJ-2507); 浙江省中医药科技计划项目(2025ZL393)
作者简介: 俞雅沁,硕士研究生在读,妇产科学专业
通信作者: 谢臻蔚,E-mail:xiezw@zju.edu.cn   
引用本文:   
俞雅沁, 赵丽, 谢臻蔚. 女性盆底功能障碍性疾病评估研究进展[J]. 预防医学, 2025, 37(8): 794-798.
YU Yaqin, ZHAO Li, XIE Zhenwei. Assessment of pelvic floor dysfunction in female:a review. Preventive Medicine, 2025, 37(8): 794-798.
链接本文:  
http://www.zjyfyxzz.com/CN/10.19485/j.cnki.issn2096-5087.2025.08.008      或      http://www.zjyfyxzz.com/CN/Y2025/V37/I8/794
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