Hirooka Masashi, Tanaka Takaaki, Koizumi Yohei, Yukimoto Atsushi, Watanabe Takao, Yoshida Osamu, Tokumoto Yoshio, Abe Masanori, Hiasa Yoichi
Department of Gastroenterology and Metabiology Ehime University, Graduate School of Medicine Toon Japan.
JGH Open. 2021 Aug 21;5(10):1172-1178. doi: 10.1002/jgh3.12647. eCollection 2021 Oct.
Spleen stiffness measurement (SSM) is useful for assessing portal hypertension. It is unclear whether SSM values are appropriate because vibration-controlled transient elastography (VCTE) does not generate B-mode images. This study aimed to confirm whether the controlled attenuation parameter (CAP) measured in the spleen can predict the accuracy of SSM.
This retrospective study enrolled 349 patients who underwent SSM using VCTE from January 2012 to December 2020. Consecutive patients were classified into the pilot set (SSM and hepatic venous pressure gradient [HVPG] were measured) and the validation set (SSM was measured without HVPG). In the pilot set, scatter plots with a nonparametric contour line were created. Logistic regression analysis was performed to predict outliers outside the 50% contour line.
The values of CAP could distinguish the outliers in scatter plots between the HPVG and SSM in both univariate and multivariate analyses (cutoff, 118 dB/m). The correlation of SSM with HVPG ( = 0.718; < 0.001) was significantly better in the low CAP (≤118 dB/m) group than in the high CAP (>118 dB/m) group ( = 0.330; < 0.001). The area under the receiver operating characteristic curve of SSM in predicting high-risk varices was better in the low CAP group than in all patients or in the high CAP group in the pilot set (0.881, 0.854, and 0.843, respectively) and in the validation set (0.893, 0.821, and 0.814, respectively).
For patients with CAP <118 dB/m, SSM is a feasible predictor of HVPG.
脾脏硬度测量(SSM)有助于评估门静脉高压。由于振动控制瞬时弹性成像(VCTE)不产生B超图像,尚不清楚SSM值是否合适。本研究旨在确认脾脏中测量的受控衰减参数(CAP)能否预测SSM的准确性。
本回顾性研究纳入了2012年1月至2020年12月期间接受VCTE进行SSM检查的349例患者。连续纳入的患者被分为试验组(测量SSM和肝静脉压力梯度[HVPG])和验证组(测量SSM但不测量HVPG)。在试验组中,绘制带有非参数轮廓线的散点图。进行逻辑回归分析以预测50%轮廓线以外的异常值。
在单变量和多变量分析中,CAP值均可区分HPVG和SSM散点图中的异常值(截断值为118 dB/m)。低CAP(≤118 dB/m)组中SSM与HVPG的相关性(r = 0.718;P < 0.001)显著优于高CAP(>118 dB/m)组(r = 0.330;P < 0.001)。在试验组中,低CAP组SSM预测高危静脉曲张的受试者工作特征曲线下面积优于所有患者组或高CAP组(分别为0.881、0.854和0.843),在验证组中也是如此(分别为0.893、0.821和0.814)。
对于CAP<118 dB/m的患者,SSM是HVPG的可行预测指标。