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ArticleAbdominal radiology (New York)2025

Qualitative assessment of hepatic steatosis on modern grayscale ultrasound: more accurate than previously thought?

Luyao Shen, Richa Patel, Lindsey Negrete, Andy Shon, Simon Lemieux, Tie Liang, Stephan Altmayer, Priyanka Jha, Aya Kamaya

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Article in Abdominal radiology (New York), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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3 · Its place in the literature

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1 citing paper in PubMed.

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5 · Who and what money

Authors and funding

9 authors.

Luyao ShenStanford University, Stanford, USA. lyshen@stanford.edu.
Richa PatelStanford University, Stanford, USA.
Lindsey NegreteStanford University, Stanford, USA.
Andy ShonStanford University, Stanford, USA.
Simon LemieuxUniversité Laval, Québec, Canada.
Tie LiangStanford University, Stanford, USA.
Stephan AltmayerStanford University, Stanford, USA.
Priyanka JhaStanford University, Stanford, USA.
Aya KamayaStanford University, Stanford, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the diagnostic performance of standardized qualitative assessment of hepatic steatosis on grayscale ultrasound.

methodsThis retrospective, single-center, multi-case, multi-reader study included 200 patients with ultrasound examinations of the liver. Three readers assessed hepatic steatosis based on a standardized system of 3 ultrasound features: presence of increased fine echoes, visualization of right hemidiaphragm, and visualization of portal triads, assigning a four-grade category (normal, mild, moderate, or severe). Magnetic resonance imaging proton density fat fraction (MRI-PDFF) was used as reference standard. Binary discrimination (normal vs. steatosis) was summarized with binary area under the curve (AUC), sensitivity, and specificity. Discrimination across four categories was performed with pairwise comparisons. Reader differences were tested with the Obuchowski-Rockette-Hillis model. Inter-reader agreement was calculated with Gwet's agreement coefficient (AC).

resultsOf the 200 patients, 27% (54/200) had normal liver (MRI-PDFF < 5%), 35% (70/200) had mild steatosis (MRI-PDFF ≥ 5-17.4%), 15% (29/200) had moderate steatosis (MRI-PDFF > 17.4-22.1%), and 24% (47/200) had severe steatosis (MRI-PDFF > 22.1%). Median time interval between ultrasound and MRI exams was 4 days (IQR 1-28). Sensitivity, specific, and binary AUC for readers 1/2/3 were 90%/82%/94%, 65%/82%/54%, and 0.87/0.85/0.88 with no statistically significant difference between readers (p = 0.46). Four-class category analysis showed excellent performance of ultrasound to distinguish extreme categories (AUC > 0.95 for normal vs. severe). Inter-reader agreement was substantial (Gwet's AC 0.63) for steatosis category assignment and moderate to substantial (Gwet's AC 0.55-0.71) for ultrasound features.

conclusionContrary to popular belief, qualitative ultrasound assessment of hepatic steatosis is accurate in detecting and grading steatosis when evaluation criteria are standardized.

Indexed as

Fatty LiverAdultAgedFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedReproducibility of ResultsRetrospective StudiesSensitivity and SpecificityUltrasonographyGrayscaleHepatic steatosisUltrasound

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.