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Updated: Apr 29, 2026

Implementation of Non-invasive Point of Care Transient Elastography for Evaluation of Liver Disease in Pediatric Populations with Cystic Fibrosis
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Implementation of Non-invasive Point of Care Transient Elastography for Evaluation of Liver Disease in Pediatric Populations with Cystic Fibrosis

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Cirrhosis Diagnosis and Liver Fibrosis Staging: Transient Elastometry Versus Cirrhosis Blood Test

Paul Calès1, Jérôme Boursier, Frédéric Oberti

  • 1*Liver-Gastroenterology Department, CHU Angers †HIFIH Laboratory, LUNAM University, Angers ‡Liver-Gastroenterology Department, University Hospital §INSERM/UJF U823, IAPC, IAB, University, Grenoble ∥Liver-Gastroenterology Unit, University Hospital, Pessac ¶INSERM U1053, Bordeaux University, Bordeaux, France.

Journal of Clinical Gastroenterology
|May 16, 2014
PubMed

Insights

Fibroscan and CirrhoMeter showed similar accuracy for fibrosis staging, outperforming binary cirrhosis diagnosis. Cirrhosis-specific blood tests may improve accuracy and prognostication compared to standard blood tests and transient elastometry.

Area of Science:

  • Hepatology
  • Diagnostic Accuracy
  • Biomarkers

Background:

  • Elastometry offers superior cirrhosis diagnosis accuracy compared to blood tests.
  • Most blood tests target significant fibrosis, with CirrhoMeter being an exception for cirrhosis.
  • This study compares Fibroscan and CirrhoMeter performance for cirrhosis diagnosis.

Purpose of the Study:

  • To compare the diagnostic performance of Fibroscan and CirrhoMeter for cirrhosis.
  • To evaluate binary cirrhosis diagnosis versus fibrosis staging.
  • To assess the prognostic value of these methods.

Main Methods:

  • Utilized a diagnostic population of 679 hepatitis C patients with liver biopsy, Fibroscan, and CirrhoMeter.
  • Included a prognostic population of 1110 chronic liver disease patients assessed with both tests.
  • Analyzed data using receiver operating characteristic curves and log-rank tests.

Main Results:

  • Fibroscan showed higher accuracy (85.4%) than CirrhoMeter (79.2%) for binary cirrhosis diagnosis (P<0.001).
  • Fibrosis classification yielded higher accuracy for both: Fibroscan (88.2%) and CirrhoMeter (88.8%).
  • CirrhoMeter demonstrated better survival prediction than Fibroscan using simplified fibrosis classification (P<0.001).

Conclusions:

  • Standard binary cutoffs for Fibroscan in cirrhosis diagnosis lack sufficient accuracy.
  • Fibrosis staging is superior to binary diagnosis for assessing liver disease.
  • Cirrhosis-specific blood tests may reduce accuracy gaps and improve prognostication compared to transient elastometry.
Abstract

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