ArticleScientific reports2024
Enhancing liver cirrhosis varices and CSPH risk prediction with spleen stiffness measurement using 100-Hz probe.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Screening and care of patients with graft cirrhosis following liver transplantation.Canadian liver journal · 2026Article
- Utility of splenic transient elastography in assessing the presence of portal hypertension: A review.World journal of methodology · 2025Review
- Development of a deep learning model for guiding treatment decisions of acute variceal bleeding in patients with cirrhosis.World journal of gastroenterology · 2025Article
- Noninvasive model based on liver and spleen stiffness for predicting clinical decompensation in patients with cirrhosis.World journal of gastroenterology · 2025Article
- Listening to the spleen: a 100 Hz pulse toward a non-invasive way in assessing portal hypertension.Hepatobiliary surgery and nutrition · 2025Article
- Use of Noninvasive Tests to Assess Clinically Significant Portal Hypertension and Response to Beta-Blockers.Gastro hep advances · 2025Review
- Spleen stiffness measurements during recompensation in patients with acutely decompensated liver cirrhosis: preliminary findings of a pilot study.Frontiers in medicine · 2024Article
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Authors and funding
10 authors.
Funding
Abstract
Managing complications of liver cirrhosis such as varices needing treatment (VNT) and clinically significant portal hypertension (CSPH) demands precise and non-invasive diagnostic methods. This study assesses the efficacy of spleen stiffness measurement (SSM) using a 100-Hz probe for predicting VNT and CSPH, aiming to refine diagnostic thresholds. A retrospective analysis was conducted on 257 cirrhotic patients, comparing the diagnostic performance of SSM against traditional criteria, including Baveno VII, for predicting VNT and CSPH. The DeLong test was used for statistical comparisons among predictive models. The success rate of SSM@100 Hz was 94.60%, and factors related to SSM failure were high body mass index and small spleen volume or length. In our cohort, the identified SSM cut-off of 38.9 kPa, which achieved a sensitivity of 92% and a negative predictive value (NPV) of 98% for detecting VNT, is clinically nearly identical to the established Baveno threshold of 40 kPa. The predictive capability of the SSM-based model for VNT was superior to the LSM ± PLT model (p = 0.017). For CSPH prediction, the SSM model notably outperformed existing non-invasive tests (NITs), with an AUC improvement and significant correlations with HVPG measurements (obtained from 49 patients), highlighting a correlation coefficient of 0.486 (p < 0.001) between SSM and HVPG. Therefore, incorporating SSM into clinical practice significantly enhances the prediction accuracy for both VNT and CSPH in cirrhosis patients, mainly due to the high correlation between SSM and HVPG. SSM@100 Hz can offer valuable clinical assistance in avoiding unnecessary endoscopy in these patients.
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