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超声参数在早发性卵巢功能不全诊断中的研究进展OA

Research progress of ultrasonic parameters in the diagnosis of premature ovarian insufficiency

中文摘要英文摘要

早发性卵巢功能不全(POI)特指年龄未满40周岁女性,因卵巢生理功能显著衰退甚至完全丧失所致的临床综合征.POI不仅会显著降低女性受孕概率,若未及时干预,还会损害患者心理健康、降低生活质量,因此早期识别与规范诊治对改善患者预后至关重要.随着超声技术的持续革新,其在POI临床诊断中发挥着不可替代的核心作用.本文系统综述常规超声参数(如窦卵泡计数、卵巢体积、卵巢间质动脉血供参数)的评估价值,以及超声弹性成像技术(含剪切波弹性成像、应变弹性成像)的技术原理、关键参数(如应变比、杨氏模量)的临床应用,重点梳理超声技术在POI早期筛查与病情评估中的效能差异及协同潜力,以期为临床提升POI早期诊断精准度、优化诊疗策略提供参考依据.

Premature ovarian insufficiency(POI)refers specifically to a clinical syndrome characterized by significant decline or even complete loss of ovarian physiological function in women under 40 years of age.POI not only markedly reduces female fertility potential,but also impairs patients'mental health and diminishes their quality of life if intervention is not administered in a timely manner.Therefore,early identification and standardized diagnosis and treatment are crucial for improving the prognosis of POI patients.With the continuous innovation of ultrasound technology,it plays an irreplaceable core role in the clinical diagnosis of POI.This paper systematically reviews the evaluation value of conventional ultrasound parameters(such as antral follicle count,ovarian volume and ovarian stromal arterial blood flow parameters),as well as the technical principles and clinical applications of ultrasound elastography techniques(including shear wave elastography and strain elastography)and their key parameters(such as strain ratio and Young's modulus).It focuses on sorting out the efficacy differences and synergistic potential of ultrasound technologies in the early screening and disease assessment of POI,aiming to provide a reference basis for clinically improving the accuracy of early POI diagnosis and optimizing diagnosis and treatment strategies.

姜楠楠;马小萍

宁夏医科大学第二临床医学院,宁夏 银川 750000银川市第一人民医院超声科,宁夏 银川 750000

超声技术超声弹性成像早发性卵巢功能不全临床应用

ultrasound technologyultrasonic elastographypremature ovarian insufficiencyclinical application

《分子影像学杂志》 2026 (4)

557-562,6

宁夏自然科学基金项目(2024AAC03792)银川市科技创新团队(2023CXTD29)

10.12122/j.issn.1674-4500.2026.04.20

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