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

Barr, Richard G.; Cestone, Angelo; Silvestri, Annalisa De

doi:10.1002/jum.15870

Cited by 5 publications

(3 citation statements)

References 21 publications

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“…In site 2, AC measurements were performed with the Epiq7 US system (Philips Medical Systems, the Netherlands) using the C5‐2 convex transducer and the ATI‐Philips algorithm software version 9.0.5. Data of 30 consecutive individuals enrolled in a study performed to compare the Philips and Canon algorithms for ATI 8 were reviewed and 5 images with AC‐Philips at each depth using 1 and 3 cm ROI were measured and recorded. An additional 30 patients were studied using a 3 cm ROI at each depth providing 60 patients assessed with the AC‐Philips.…”

Section: Methodsmentioning

confidence: 99%

Liver Fat Quantification With Ultrasound: Depth Dependence of Attenuation Coefficient

Ferraioli

Raimondi

Maiocchi

et al. 2023

J of Ultrasound Medicine

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ObjectivesThe primary aim was to estimate the influence of various depths on ultrasound attenuation coefficient (AC) of multiple vendors in the liver. The secondary aim was to evaluate the impact of region of interest (ROI) size on AC measurements in a subset of participants.MethodsThis Institutional Review Board (IRB)‐approved Health Insurance Portability and Accountability Act (HIPAA)‐compliant retrospective study was carried out in two centers using AC‐Canon and AC‐Philips algorithms and extracting AC‐Siemens values from ultrasound‐derived fat fraction algorithm. Measurements were performed positioning ROI upper edge (3 cm size) at 2, 3, 4, 5 cm from the liver capsule with AC‐Canon and AC‐Philips and at 1.5, 2, 3 cm with Siemens algorithm. In a subset of participants, measurements were obtained with 1 and 3 cm ROI size. Univariate and multivariate linear regression models and Lin's concordance correlation coefficient (CCC) were used for statistical analysis as appropriate.ResultsThree different cohorts were studied. Sixty‐three participants (34 females; mean age: 51 ± 14 years) were studied with AC‐Canon, 60 (46 females; mean age: 57 ± 11 years) with AC‐Philips, and 50 (25 females; 61 ± 13 years) with AC‐Siemens. There was a decrease in AC values per 1 cm increase in depth in all. In multivariable analysis, the coefficient was −0.049 (−0.060; −0.038 P < .001) with AC‐Canon, −0.058 (−0.066; −0.049 P < .001) with AC‐Philips and −0.081 (−0.112; −0.050 P < .001) with AC‐Siemens. AC values with 1 cm ROI were significantly higher than those obtained with 3 cm ROI at all depths (P < .001) but the agreement between AC values obtained with different ROI size was excellent (CCC 0.82 [0.77–0.88]).ConclusionsThere is depth dependence in AC measurement that affects results. A standardized protocol with fixed ROI's depth and size is needed.

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Section: Methodsmentioning

confidence: 99%

Liver Fat Quantification With Ultrasound: Depth Dependence of Attenuation Coefficient

Ferraioli

Raimondi

Maiocchi

et al. 2023

J of Ultrasound Medicine

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“…The CCC (95% CI) was 0.792 and Pearson’s r was 0.839, demonstrating a high agreement between the systems. Both had a mean IQR/M of <15%, although the scores were significantly different between the 2 systems [ 94 ].…”

Section: Quantitative Ultrasound-based Methodsmentioning

confidence: 99%

Ultrasound Methods for the Assessment of Liver Steatosis: A Critical Appraisal

et al. 2022

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The prevalence of the non-alcoholic fatty liver disease has reached major proportions, being estimated to affect one-quarter of the global population. The reference techniques, which include liver biopsy and the magnetic resonance imaging proton density fat fraction, have objective practical and financial limitations to their routine use in the detection and quantification of liver steatosis. Therefore, there has been a rising necessity for the development of new inexpensive, widely applicable and reliable non-invasive diagnostic tools. The controlled attenuation parameter has been considered the point-of-care technique for the assessment of liver steatosis for a long period of time. Recently, many ultrasound (US) system manufacturers have developed proprietary software solutions for the quantification of liver steatosis. Some of these methods have already been extensively tested with very good performance results reported, while others are still under evaluation. This manuscript reviews the currently available US-based methods for diagnosing and grading liver steatosis, including their classification and performance results, with an appraisal of the importance of this armamentarium in daily clinical practice.

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“…The values measured by B-mode guided QUS from different vendors showed a strong correlation [77,104]. However, significant inter-platform variability were observed, making it difficult to interchangeably use the values measured on different US systems [105,106].…”

Section: Comparison Among Qusmentioning

confidence: 99%

Assessment of Hepatic Steatosis Using Ultrasound-Based Techniques: Focus on Fat Quantification

Rou

2024

Clin Ultrasound

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Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most common chronic liver disease worldwide, affecting more than 30% of the global population, and is associated with increased liver-related morbidity and mortality, and extrahepatic complications. With the increasing prevalence of MASLD, there is an urgent need for accessible, non-invasive methods to detect hepatic steatosis. Currently, liver biopsy and magnetic resonance imaging proton density fat fraction are considered reference standards for diagnosing hepatic steatosis; however, their invasiveness and limited accessibility limit their widespread use. Ultrasonography (US) is a promising alternative owing to its cost-effectiveness and widespread accessibility. Recently, quantitative US techniques have been developed and commercialized by several vendors to measure steatosis by detecting changes in various acoustic properties associated with hepatic steatosis, making it readily accessible. Controlled attenuation parameter (CAP), which evaluates hepatic steatosis using the attenuation of the US beam, is the most widely studied algorithm as a non-imaging technique. Several other algorithms are also available on B-mode ultrasound systems, and their diagnostic performance is comparable to or better than that of the CAP. Therefore, we aimed to review current US-based methods for detecting and grading hepatic steatosis, discussing their diagnostic performance and utilization.

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

Cited by 5 publications

References 21 publications

Liver Fat Quantification With Ultrasound: Depth Dependence of Attenuation Coefficient

Liver Fat Quantification With Ultrasound: Depth Dependence of Attenuation Coefficient

Ultrasound Methods for the Assessment of Liver Steatosis: A Critical Appraisal

Assessment of Hepatic Steatosis Using Ultrasound-Based Techniques: Focus on Fat Quantification

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