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Robert Marks, MD, FACR, FSAR

@robertmarksmd.bsky.social

Chief of Body Imaging at UCSD. CU alum. Weekend golfer. Fan of the CU Buffs, Padres, Lakers, and Vikings. #LIRADS

36 Posts613 Follower219 Folgt
AJR@ajrradiology.bsky.social · last yr.

These results will help determine a standardized optimal protocol for ultrasound AC measurements, facilitating clinical adoption for liver fat quantification. www.ajronline.org/doi/10.2214/...

Attenuation Coefficient for Hepatic Steatosis Using a Single Ultrasound System: Associations of Measurement Parameters With Interoperator Agreement and Diagnostic Performance | AJR

Background: Clinical adoption of ultrasound attenuation coefficient (AC) measurements has been hindered by lack of uniform measurement protocol and a range of factors that may cause variability. Objective: To evaluate associations of ROI depth, ROI size, and confidence map threshold with interobserver agreement and diagnostic performance of ultrasound AC measurements in detecting and grading hepatic steatosis using MRI proton-density fat fraction (PDFF) as the reference standard. Methods: This prospective study enrolled adults with known steatosis or at risk for steatosis from October 2023 to August 2024. One of two operators obtained videos of AC acquisitions using a single ultrasound unit. Both operators independently reviewed all videos and placed circular ROIs to obtain AC measurements for all 24 possible combinations of four ROI depths (2.0, 2.5, 3.0, and 4.0 cm from liver capsule to ROI outer edge), three ROI sizes (3.0, 3.5, and 4.0 cm), and two confidence map thresholds (20% and 40%). Participants underwent MRI PDFF measurement as reference. Results: The analysis included 101 participants (mean age, 54.5±12.1 years; 62 female, 39 male). Interoperator agreement was excellent for all combinations (intraclass correlation coefficient: 0.92-0.98). AC measurements showed strongest correlations (Spearman rho, 0.81 and 0.80 for operators 1 and 2, respectively) with MRI PDFF at a ROI depth of 4.0 cm. The optimal combination considering correlations with MRI PDFF and AUC across steatosis grades included a depth of 4.0 cm, size of 4.0 cm, and threshold of 40%. This combination had AUC for detecting steatosis with grade >0, >1, and >2 for operator 1 of 0.93, 0.88, and 0.81, respectively, and operator 2 of 0.92, 0.86, and 0.81, respectively. However, accuracy for detecting steatosis (grade >0) was highest for the combination of depth of 3.0 cm, size of 4.0 cm, and threshold of 40% (operator 1, 90.1%; operator 2, 82.2%). Conclusion: AC measurements showed excellent interoperator agreement across parameter combinations. Correlations with MRI PDFF were strongest at a depth of 4.0 cm. Combinations yielding highest diagnostic performance were identified. Clinical Impact: These results will help determine a standardized optimal protocol for ultrasound AC measurements, facilitating clinical adoption for liver fat quantification.

ajronline.org

Mark Cuban@mcuban.bsky.social · 2y ago

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