ArticleDiagnostics (Basel, Switzerland)2022
Quantification of Liver Fat Content with the iATT Algorithm: Correlation with Controlled Attenuation Parameter.
Article in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Ultrasound Attenuation Coefficient as a Biomarker of Hepatic Steatosis: State of the Art and Software Evaluation.Journal of clinical medicine · 2026Review
- Diagnostic performance of attenuation imaging versus controlled attenuation parameter for hepatic steatosis with MRI-based proton density fat fraction as the reference standard: a prospective multicenter study.Journal of gastroenterology · 2025Article
- Assessing Quality of Ultrasound Attenuation Coefficient Results for Liver Fat Quantification.Diagnostics (Basel, Switzerland) · 2024Article
- iATT liver fat quantification for steatosis grading by referring to MRI proton density fat fraction: a multicenter study.Journal of gastroenterology · 2024Article
- Non-invasive evaluation of liver steatosis with imaging modalities: New techniques and applications.World journal of gastroenterology · 2023Review
- Non-invasive imaging biomarkers for liver steatosis in non-alcoholic fatty liver disease: present and future.Clinical and molecular hepatology · 2023Review
- The Accuracy of Ultrasound Controlled Attenuation Parameter in Diagnosing Hepatic Fat Content.Hepatic medicine : evidence and research · 2023Article
- Ultrasound-Based Diagnostic Methods: Possible Use in Fatty Liver Disease Area.Diagnostics (Basel, Switzerland) · 2022Review
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The primary aim of our study was to assess the correlation between an improved version of the attenuation coefficient available on the Arietta 850 ultrasound system (iATT, Fujifilm Healthcare, Tokyo, Japan) and controlled attenuation parameter (CAP). The secondary aim was to assess whether focusing only on iATT acquisition without following the strict protocol for liver stiffness measurements would affect iATT measurement. Methods: Consecutive individuals were enrolled. Pearson’s r was used to test the correlation between ATT and CAP values. The concordance between iATT and CAP was tested using Lin’s concordance correlation coefficient (CCC). Results: 354 individuals (203 males, 151 females) were studied. The overall Pearson correlation between CAP and iATT values obtained following or not following the liver stiffness measurement protocol, respectively, were r = 0.73 and r = 0.71. The correlation was affected by the interquartile range/median (IQR/M) of the 10 measurements: it was r = 0.75 for IQR/M ≤ 15% and r = 0.60 for IQR/M > 15%. CCC showed that there was a moderate to good concordance between iATT and CAP values. Conclusion: iATT shows a strong correlation with CAP that does not decrease when the protocol for liver stiffness acquisition is not followed. The correlation between iATT and CAP values is higher when the IQR/M ≤ 15%.
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