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A Pre-Release Algorithm With a Confidence Map for Estimating the Attenuation Coefficient for Liver Fat

Richard G Barr1,2, Angelo Cestone2, Annalisa De Silvestri3

  • 1Professor of Radiology, Northeastern Ohio Medical University, Rootstown, OH, USA.

Journal of Ultrasound in Medicine : Official Journal of the American Institute of Ultrasound in Medicine
|November 3, 2021
PubMed
Summary
This summary is machine-generated.

Two ultrasound systems showed similar trends for liver fat quantification using attenuation coefficient (AC) measurements. However, optimal measurement box placement may differ between systems, impacting accuracy.

Keywords:
NAFLDattenuation coefficientattenuation imagingliver fat quantification

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Area of Science:

  • Medical Imaging
  • Ultrasound Technology
  • Hepatology

Background:

  • Liver fat quantification is crucial for diagnosing and managing fatty liver disease.
  • Ultrasound-based attenuation coefficient (AC) offers a non-invasive method for assessing liver steatosis.
  • Comparing different ultrasound systems is essential for consistent clinical application.

Purpose of the Study:

  • To compare liver fat quantification accuracy between Philips Epiq Elite and Canon Aplio i800 ultrasound systems.
  • To evaluate the quality measure of a pre-released software for liver fat assessment.
  • To assess the agreement and potential differences in AC measurements between two ultrasound platforms.

Main Methods:

  • Thirty participants underwent liver imaging on both Philips Epiq Elite (experimental software) and Canon Aplio i800 (released software).
  • Attenuation coefficient (AC) measurements were taken, with median and IQR/M calculated.
  • Concordance was analyzed using Lin's CCC, Pearson's r, bias-correction factor, and Bland-Altman analysis, with region of interest placement guided by a confidence map.

Main Results:

  • Attenuation coefficients ranged from 0.45-1.0 dB/cm/MHz (Philips) and 0.30-0.96 dB/cm/MHz (Canon).
  • High agreement was observed: CCC (95% CI) 0.792 (0.666-0.918), Pearson's r 0.839, bias-correction factor 0.944, and mean difference 0.03.
  • Optimal measurement depth determined by Philips' confidence map (3.5-4.0 cm) may differ from Canon's system.

Conclusions:

  • The two ultrasound systems demonstrate high agreement in estimating liver fat via AC, indicating similar trends.
  • Differences in measurement box placement guidance between systems may affect the consistency of AC estimations.
  • Further investigation into optimizing region of interest placement is warranted for cross-system comparability.