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Updated: May 15, 2025
Measurement of Liver Stiffness Using Atomic Force Microscopy Coupled with Polarization Microscopy
Published on: July 20, 2022
Spleen Stiffness Predicts the Risk of Liver-related Complications in Patients With Compensated Advanced Chronic Liver
Rui Gaspar1, Joana Mota1, Maria João Almeida1
1Department of Gastroenterology and Hepatology, Centro Hospitalar de São João, Porto, Portugal.
Background & Aims:
The development of portal hypertension (PH) is a key prognostic factor in patients with compensated advanced chronic liver disease (cACLD). The gold standard for assessing PH is the hepatic venous pressure gradient measurement. However, noninvasive tools have gained significant importance in recent years, mainly liver stiffness measurement (LSM) by vibration-controlled transient elastography (VCTE). Spleen stiffness measurement (SSM) by VCTE using a dedicated 100-Hz module has emerged as a promising non-invasive diagnostic tool, although data on its prognostic value remain limited. This study aimed to evaluate the accuracy of SSM, as measured by transient elastography, in predicting the risk of liver decompensation.
Methods:
A prospective study was conducted including patients with cACLD followed at a tertiary center from January 2020 to April 2024. All patients underwent liver and spleen VCTE (utilizing the 100-Hz module) performed by the same blinded operator. Patients were subsequently monitored at the same institution for the development of PH complications.
Results:
The study included 242 patients with cACLD, with a mean age of 63.0 ± 10.5 years and who were 78.5% male. The most common etiology was alcoholic liver disease (62.0%). The median LSM value was 21.9 kPa (interquartile range [IQR], 15.0-34.0 kPa), and the median SSM value was 38.9 kPa (IQR, 28.0-58.0 kPa). The median follow-up period was 501.5 days (IQR, 343.0-725.3 days). During this time, 28 patients (11.6%) developed liver decompensations, with 20 requiring hospital admission. SSM demonstrated good predictive capacity for the risk of liver decompensation (area under the curve, 0.823; 95% confidence interval, 0.742-0.904). Alongside LSM, SSM was an effective predictor of liver decompensation, with a cutoff of 50.0 kPa indicating a significantly increased risk of hepatic decompensation.
Conclusions:
Noninvasive assessment using SSM may serve as an excellent tool for predicting the risk of liver-related complications and risk-stratifying patients with cACLD, thereby improving their management.
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