Spleen and Liver Stiffness for Predicting High-Risk Varices in Patients with Compensated Liver Cirrhosis

Ultrasound Med Biol. 2021 Jan;47(1):76-83. doi: 10.1016/j.ultrasmedbio.2020.09.004. Epub 2020 Oct 14.

Abstract

The study evaluates the utility of spleen (SS) and liver stiffness (LS) associated with spleen size (SSZ) as non-invasive markers for predicting high-risk varices (HRV). One hundred thirty-two patients with compensated liver cirrhosis who underwent abdominal ultrasound SS (SSM) and LS measurements (LSM) using a 2-D shear wave elastography (2-D-SWE) technique from General Electric and upper endoscopy were included. Similar rates of reliable SSM and LSM were obtained (95.4% and 97.7% respectively); therefore, 124 patients were included in the final analysis. The optimal cutoff values for SS, LS and SSZ for predicting HRV were 13.2 kPa (area under the receiver operating characteristic curve [AUROC] = 0.84), 12.1 kPa (AUROC = 0.86) and 12.9 cm (AUROC = 0.71), respectively. Including these factors in multiple regression analysis, we obtained the scores for predicting HRV: 0.053 × SS + 0.054 × LS + 0.059 × SSZ - 1.84. The score's optimal cutoff value for predicting HRV was >0.34 (AUROC = 0.93). By comparing the AUROC's, the score including SSZ, SSM and LSM performed better than each independent factor for predicting HRV (p = 0.0091; p = 0.0341; p < 0.0001).

Keywords: 2-D shear wave elastography; Esophageal varices; Liver stiffness; Portal hypertension; Spleen stiffness.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Elasticity Imaging Techniques*
  • Esophageal and Gastric Varices / diagnosis*
  • Esophageal and Gastric Varices / epidemiology
  • Esophageal and Gastric Varices / etiology*
  • Female
  • Humans
  • Liver / diagnostic imaging*
  • Liver Cirrhosis / complications*
  • Liver Cirrhosis / diagnostic imaging*
  • Male
  • Middle Aged
  • Predictive Value of Tests
  • Prospective Studies
  • Risk Assessment
  • Spleen / diagnostic imaging*