使用新型分析算法的振动控制过渡弹性质谱的质量改进
Jeffrey Schwartz1, Shalini Tripathi2, Omar T Sims3
1Department of Gastroenterology and Hepatology, Cleveland Clinic Foundation. Cleveland, OH, USA.
概括
用于振动控制的短暂弹性图 (VCTE) 的新概率算法改善了对各种肝脏疾病的肝纤维化评估. 提供者反表明更好的理解和沟通,特别是当VCTE和活检结果不同时.
科学领域:
- 肝病学 肝病学是一种肝病学.
- 医疗成像医学成像
- 生物统计学 生物统计学
背景情况:
- 通过VCTE进行肝硬度 (LS) 评估,由于诊断设备和各种纤维化病因而面临局限性.
- 开发了一种新的概率报告算法,以解决VCTE输出中的这些局限性.
- 收集了提供者对这种肝病分层新框架的反.
研究的目的:
- 为VCTE输出设计和评估一种新的概率报告算法,根据肝病病因分层.
- 与传统方法相比,评估医疗保健提供者的经验和对这种新算法的看法.
- 用VCTE提高肝纤维化病阶段的准确性和清晰度.
主要方法:
- 通过重新分析Baveno VI弹性学标准研究的最佳切断值,创建了一个概率算法.
- VCTE输出被转换为根据病因分层的肝纤维化阶段 (F0-F4) 的概率 (MASLD,B型肝炎,C型肝炎,酒精性肝病).
- 一项调查评估了肝病学提供者的新算法经验,重点关注理解,沟通和患者体验.
主要成果:
- 概率算法于2023年3月在克利夫兰诊所的VCTE输出中实施.
- 与传统算法相比,提供商调查表明,与新算法相比,新算法的经验更为有利.
- 该算法有助于更好地了解纤维化,与医生沟通和患者沟通,特别是当VCTE和活检结果不一致时.
结论:
- 新的概率算法承认LS与组织纤维化相关的局限性,特别是在中间值.
- 提供者报告说,当VCTE和活检结果不一致时,患者的护理经验得到改善,患者的治疗结果得到改善.
- 需要进一步改进,以优化患者对VCTE测试结果的理解.
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