多变量定量美国参数用于评估肝脏肥胖症
Hidekatsu Kuroda1, Takuma Oguri1, Naohisa Kamiyama1
1From the Division of Gastroenterology and Hepatology, Department of Internal Medicine, Iwate Medical University School of Medicine, Nishitokuta 2-1-1, Yahaba-cho, Shiwa-gun, Iwate 028-3694, Japan (H.K., Y.F., T. Abe, K.K., T.M.); Ultrasound General Imaging, GE HealthCare, Hino, Japan (T.O., N.K.); Department of Gastroenterology and Hepatology, Ogaki Municipal Hospital, Ogaki, Japan (H.T., S.Y.); Department of Gastroenterology, Shin-Yurigaoka General Hospital, Kawasaki, Japan (K.I.); Department of Gastroenterology, Nayoro City General Hospital, Nayoro, Japan (Y.S.); Department of Gastroenterology and Hepatology, Tokyo Medical University, Tokyo, Japan (K.S.); Department of Epidemiology, Infectious Disease Control, and Prevention, Hiroshima University Institute of Biomedical and Health Sciences, Hiroshima, Japan (T. Akita, J.T.); Department of Gastroenterology and Hepatology, Musashino Red Cross Hospital, Musashino, Japan (Y.Y., M.K., N.I.); Department of Gastroenterology, Yokohama City University Graduate School of Medicine, Yokohama, Japan (A.N.); and Department of Nursing, Gifu Kyoritsu University, Ogaki, Japan (T.K.).
准确的非侵入性肝硬化症评估对于管理非酒精性脂肪肝疾病至关重要. 结合UGAP,IBSC和SNR的新型超声波模型有效地预测慢性肝病患者的显著肥胖症.
科学领域:
- 放射学和成像学 放射学和成像学
- 肝病学 肝病学是一种肝病学.
- 医学超声波 医学超声波
背景情况:
- 非酒精性脂肪肝病的发病率不断上升,需要使用非侵入性诊断方法.
- 目前评估肝硬化症的方法缺乏广泛的可用性和准确性.
- 需要精确,易于使用的工具来检测慢性肝病 (CLD) 患者的肝脂肪.
研究的目的:
- 评估各种定量超声波 (US) 参数组合的诊断性能.
- 预测在CLD患者中至少有5%的肝肥胖症的存在.
- 为了比较使用美国指导衰减参数 (UGAP),集成反射散射系数 (IBSC) 和信号与噪声比率 (SNR) 的模型的有效性.
主要方法:
- 未来的多中心研究涉及582名CLD患者 (2020年2月至2021年4月).
- 量化美国参数 (IBSC,SNR,UGAP) 测量;通过MRI质子密度脂肪分数 (PDFF) 定义的肝肥胖症.
- 开发了四种预测模型:仅使用UGAP,UGAP+IBSC,UGAP+SNR和UGAP+IBSC+SNR;通过AUC和C指数评估性能.
主要成果:
- 所有模型都表现出高的诊断性能,至少检测到5%的乳脂病.
- 纳入SNR (UGAP+SNR和UGAP+IBSC+SNR) 的模型显示出优越的歧视.
- 组合模型 (UGAP+IBSC+SNR) 实现了最高的AUC,为0.96.
结论:
- 综合UGAP,IBSC和SNR的定量超声模型准确地识别了CLD患者的肝硬化症.
- 这种多参数的美国方法为肝脂肪评估提供了一个有希望的非侵入性工具.
- 这些发现支持了高级超声波技术在肝脏疾病管理中的临床实用性.
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