Liver Stiffness Determined by Transient Elastography Is a Simple and Highly Accurate Predictor for Presence of Liver Cirrhosis in Clinical Routine
- Peter Lemmer 1,2, Lydia Christina Rohr 2, Marie Henning 2, Kerem Bulut 2, Paul Manka 2, Ali Canbay 2, Jan-Peter Sowa 3
- Peter Lemmer 1,2, Lydia Christina Rohr 2, Marie Henning 2
- 1Department of Gastroenterology, Hepatology, and Infectious Diseases, Otto-von-Guericke University Magdeburg, Magdeburg, Germany.
- 2Department of Medicine, Universitätsklinikum Knappschaftskrankenhaus Bochum, Ruhr University, Bochum, Germany.
- 3Department of Medicine, Universitätsklinikum Knappschaftskrankenhaus Bochum, Ruhr University, Bochum, Germany, jan.sowa@rub.de.
- 0Department of Gastroenterology, Hepatology, and Infectious Diseases, Otto-von-Guericke University Magdeburg, Magdeburg, Germany.
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View abstract on PubMed
Summary
This summary is machine-generated.Liver stiffness measurement (LSM) and the FAST score are effective non-invasive tools for detecting liver cirrhosis. These methods show potential for reliably identifying patients with advanced liver disease in clinical practice.
Area Of Science
- Hepatology
- Diagnostic Imaging
- Biomarkers
Background
- Early detection of advanced chronic liver disease is crucial for preventing complications and identifying patients for hepatocellular carcinoma surveillance.
- Distinguishing early cirrhosis from lower fibrosis grades non-invasively remains a clinical challenge, often necessitating liver biopsy.
Purpose Of The Study
- To evaluate the performance of various non-invasive tools in differentiating liver cirrhosis from lower fibrosis grades.
- To compare the diagnostic accuracy of liver stiffness measurement (LSM), FAST score, FIB-4, NFS, and routine laboratory values.
Main Methods
- Analysis of data from 116 patients with chronic liver disease undergoing liver biopsy.
- Collection of routine laboratory values, liver stiffness measurement (LSM) via transient elastography, and histological assessment.
- Correlation analysis (Spearman) and receiver operating characteristic (ROC) curve analysis to assess diagnostic performance.
Main Results
- LSM demonstrated the highest area under the curve (AUC) of 0.9130 for differentiating cirrhosis, followed by the FAST score (0.8842) and FIB-4 (0.8644).
- Significant correlations were found between histological fibrosis stage and LSM, FAST score, FIB-4, AST, NFS, INR, methacetin breath test, and serum albumin.
- An LSM threshold of 12.2 kPa showed high sensitivity (95.7%) and specificity (75.3%) for detecting cirrhosis.
Conclusions
- LSM and FAST score are robust non-invasive measurements for assessing liver fibrosis.
- LSM and FAST scores show significant potential for reliably detecting liver cirrhosis in routine clinical settings, potentially reducing the need for biopsies.
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