头位难产评估模式的研究进展  

Research Progress on Assessment Models for Cephalic Dystocia

作　　者：陈凯欣(综述) 刘丽[1] 董晓静(审校)[1] CHEN Kaixin;LIU Li;DONG Xiaojing(The Second Affiliated Hospital of Chongqing Medical University,Chongqing 400010,China)

机构地区：[1]重庆医科大学附属第二医院,重庆400010

出　　处：《现代医药卫生》2024年第9期1550-1553,共4页Journal of Modern Medicine & Health

基　　金：重庆市科学技术局基金项目(CSTB2022TIAD-CUX0002)。

摘　　要：前次剖宫产的诸多弊端已经成为再生育的重要阻力因素,剖宫产不应再被视作处理产科困难的最简单手段。提升医务人员对阴道分娩的评估、观察、处理能力,使其能及时、正确地识别和处理难产才是关键,但是目前尚缺乏客观、准确的头位难产综合评估模式。产科医生可尝试以头位难产理论和头位分娩评分法为基础,采用现代影像学技术、实时测量技术、数据传导技术,建立育龄期女性骨盆测量数据库、开发智能成像实时宫口扩张自动评估设备、改良产时超声辅助产程管理技术、配合精神心理因素评估量表,创建精准智能的头位难产自动评估系统,实现可视化、数字化、精准化的全方位阴道分娩评估和产程管理,在保证母婴安全的基础上促进阴道分娩,促进人口稳步增长。The numerous drawbacks associated with previous cesarean sections have emerged as significant obstacles to reproduction,rendering cesarean section no longer the most straightforward solution for addressing obstetric difficulties.Enhancing medical personnel′s ability to assess,observe,and manage vaginal deliveries is crucial in promptly and accurately identifying and managing dystocia.However,there is lack of objective and precise assessment model yet for cephalic dystocia.By leveraging modern imaging technology,real-time measurement techniques,and data transmission technology,obste trician can try to establish a pelvic measurement database for reproductive women,develop intelligent imaging systems that provide real-time automatic evaluation of cervical dilation,and improve ultrasound-assisted labor process management.Based on the theory of cephalic dystocia and scoring of head-up labor and alongside mental and psychological factor assessment scales,ultimately,these will facilitate the creation of an accurate and intelligent automated system for assessing cephalic dystocia-enabling visualized,digitized,and precise comprehensive evaluations of vaginal deliveries-and promote steady population growth while ensuring maternal-infant safety.

关 键 词：头位难产 评估模式 进展 综述 

分 类 号：R197.322[医药卫生—卫生事业管理]