新型的亚波辅助压力估计用于识别高风险食管胃水
Hidekatsu Kuroda1, Tamami Abe2, Naohisa Kamiyama3
1Division of Gastroenterology and Hepatology, Department of Internal Medicine, Iwate Medical University, Iwate Medical University School of Medicine, Nishitokuta 2-1-1, Yahaba-Cho, Shiwa-Gun, Yahaba, Iwate, 028-3694, Japan. hikuro@iwate-med.ac.jp.
Journal of gastroenterology
|October 29, 2024
概括
低波辅助压力估计 (SHAPE) 准确地预测了肝硬化患者的食道胃 (EV) 风险. 这种新的超声波技术显示出高诊断性能,有助于早期识别高风险个体.
科学领域:
- 医疗成像医学成像
- 肝病学 肝病学是一种肝病学.
- 诊断技术 诊断技术的使用
背景情况:
- 肝硬化对患上食管胃变节 (EV) 的风险很大.
- 准确预测电动汽车风险对于及时干预和管理至关重要.
- 当前的诊断方法在风险分层方面可能存在局限性.
研究的目的:
- 为了评估一个新的超声波设备中集成的超声波辅助压力估计 (SHAPE) 系统.
- 评估SHAPE在预测患有肝硬化病的患者食管胃静脉 (EV) 风险方面的能力.
主要方法:
- 这是一项前性研究,涉及111名肝硬化患者.
- 通过剪波弹性学测量肝硬度 (LSM) 和硬度 (SSM).
- 使用SHAPE方法确定肝静脉-门静脉 (HV-PV) 梯度.
- 风险分层 (零,低,高) 基于食管镜检查和查尔德-普格阶段.
主要成果:
- 在HV-PV梯度显示了与EV风险显著的反相关性.
- 对于HV-PV梯度的切线值为-3.5dB,实现了80.0%的灵敏度和89.0%的特异性.
- 曲线下面的面积值表明,HV-PV梯度 (0.920) 的性能优于LSM (0.843) 和SSM (0.824) 对于高风险的EV预测.
结论:
- 集成的SHAPE系统在识别患有肝硬化,患有EV高风险的肝硬化患者方面表现出很高的准确性.
- 在临床实践中,SHAPE为EV风险分层提供了一个有希望的非侵入性工具.
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