Liver stiffness and spleen stiffness measured by two-dimensional shear wave elastography for evaluation of high risk varices in patients with compensated cirrhosis / 中华超声影像学杂志
Chinese Journal of Ultrasonography
; (12): 1053-1058, 2022.
Article
en Zh
| WPRIM
| ID: wpr-992794
Biblioteca responsable:
WPRO
ABSTRACT
Objective:To explore the value of liver stiffness and spleen stiffness measured by two-dimensional shear wave elastography (2D-SWE) in predicting high-risk varices (HRV) with compensated cirrhosis patients.Methods:Seventy patients with compensated cirrhosis who attended the First Hospital of Lanzhou University from November 2019 to April 2022 were recruited. All patients underwent examinations of liver stiffness measurement (LSM) and spleen stiffness measurement (SSM) by 2D-SWE. Binary logistic regression was used to analyze the risk factors affecting the occurrence of HRV. The diagnostic performances of LSM, liver stiffness (by 2D-SWE)-spleen length-to-platelet (LSPS) score, and SSM in predicting HRV were compared.Results:SSM was not technically feasible in 6/70 (8.6%) patients due to small volume of spleen.Among 64 patients with compensated cirrhosis, 30/64 (46.9%) were HRV. Binary multivariate Logistic regression analysis showed that SSM and platelet counts were independent influencing factors for predicting HRV, with OR values of 1.126 ( P=0.006) and 0.971 ( P=0.039), respectively. The area under the receiver operating characteristic curve (AUC) of LSM, LSPS score, and SSM were 0.660, 0.828 and 0.858, respectively. The AUCs of SSM and LSPS score were significantly higher than that of LSM ( P<0.05), but there was no statistical difference between SSM and LSPS score ( P=0.608). Conclusions:LSM and SSM measured by 2D-SWE have high success rate. SSM and LSPS score have high value in predicting HRV in patients with compensated cirrhosis, and the diagnostic performances of the above two methods are significantly higher than that of LSM.
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Base de datos:
WPRIM
Idioma:
Zh
Revista:
Chinese Journal of Ultrasonography
Año:
2022
Tipo del documento:
Article