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Related Experiment Video

Updated: Sep 14, 2025

Magnetic Resonance Elastography Methodology for the Evaluation of Tissue Engineered Construct Growth

Magnetic Resonance Elastography Methodology for the Evaluation of Tissue Engineered Construct Growth

Published on: February 9, 2012

Quality improvement for vibration controlled transient elastography using a novel analysis algorithm.

Jeffrey Schwartz¹, Shalini Tripathi², Omar T Sims³

¹Department of Gastroenterology and Hepatology, Cleveland Clinic Foundation. Cleveland, OH, USA.

Digestive and Liver Disease : Official Journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver

|July 24, 2025

Summary

This summary is machine-generated.

A new probabilistic algorithm for vibration-controlled transient elastography (VCTE) improves liver fibrosis assessment across various liver diseases. Provider feedback indicates enhanced understanding and communication, particularly when VCTE and biopsy results differ.

Keywords:

Care delivery Fibrosis Outcomes Staging

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Area of Science:

Hepatology
Medical Imaging
Biostatistics

Background:

Liver stiffness (LS) assessment via VCTE faces limitations due to diagnostic equipoise and varied fibrosis etiologies.
A novel probabilistic reporting algorithm was developed to address these limitations in VCTE output.
Provider feedback was gathered on this new framework for liver disease stratification.

Purpose of the Study:

To devise and evaluate a novel probabilistic reporting algorithm for VCTE output, stratified by liver disease etiology.
To assess healthcare providers' experience and perception of this new algorithm compared to conventional methods.
To improve the accuracy and clarity of liver fibrosis staging using VCTE.

Main Methods:

A probabilistic algorithm was created by re-analyzing optimal cut-offs from the Baveno VI Elastography Criteria Study.
VCTE output was converted into probabilities of liver fibrosis stages (F0-F4) stratified by etiology (MASLD, Hepatitis B, Hepatitis C, Alcoholic Liver Disease).
A survey assessed hepatology providers' experience with the new algorithm, focusing on understanding, communication, and patient experience.

Main Results:

The probabilistic algorithm was implemented in VCTE output at Cleveland Clinic in March 2023.
Provider surveys indicated a more favorable experience with the new algorithm compared to the conventional one.
The algorithm facilitated better understanding of fibrosis, communication with physicians, and patient communication, especially when VCTE and biopsy results were discordant.

Conclusions:

The novel probabilistic algorithm acknowledges limitations in correlating LS with histologic fibrosis, especially at intermediate values.
Providers reported improved patient care experience and enhanced patient outcomes when VCTE and biopsy results were discordant.
Further refinements are necessary to optimize patient understanding of VCTE test results.