Evidence map›Paper›PMID 40836281›Full record

ArticleBMC medical imaging2025

Consistency and reliability of ultrasound-derived fat fraction in hepatic steatosis assessment: influence of posture and breathing variations.

Tingjing You, Shengmin Zhang, Shuai Cheng, Zhenyu Shen

Abstract read
In one paragraph

Article in BMC medical imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Tingjing YouThe First Affiliated Hospital of Ningbo University, Ningbo, China.
Shengmin ZhangDepartment of Ultrasound Medicine, The First Affiliated Hospital of Ningbo University, No. 59 Liuting Street, Ningbo, Zhejiang Province, 315010, China. nbsmzhang@163.com.
Shuai ChengDepartment of Ultrasound Medicine, The First Affiliated Hospital of Ningbo University, No. 59 Liuting Street, Ningbo, Zhejiang Province, 315010, China.
Zhenyu ShenDepartment of Ultrasound Medicine, The First Affiliated Hospital of Ningbo University, No. 59 Liuting Street, Ningbo, Zhejiang Province, 315010, China.

Funding

The Medical and Health Technology of Zhejiang Province No. 2023KY1058The Natural Science Foundation of Zhejiang Province, China No. LBY23H180003
6 · The paper itself

Abstract

backgroundGiven the recent redefinition of metabolic dysfunction-associated steatotic liver disease (MASLD) and the clinical demand for non-invasive tools, this study evaluated the effect of body position (e.g., supine, left lateral recumbent) and respiratory status (e.g., deep inspiration, expiration) on ultrasound-derived fat fraction (UDFF) measurements., assessed their reliability and consistency, and determined the optimal conditions for obtaining UDFF.

methodsA retrospective analysis was performed using the system with the UDFF algorithm. Two operators performed UDFF measurements in six different scenarios, each consisting of three measurements (18 in total). Consistency analysis was achieved primarily by intragroup correlation coefficients (ICC) and Friedman’s test, and Spearman’s correlation analysis mainly achieved correlation.

results319 participants were included (mean age 40 ± 17 years; 154 males). The ICC showed strong reliability (mean ICC = 0.999), and Friedman’s test showed no significant differences between BMI groups or between the various breathing and postural conditions (p > 0.05). However, the coefficient of variation (Cov), which affects the results, was lowest for supine breath-holding. Spearman’s ρ showed a strong correlation between supine breath-holding (ρ = 0.973) and end-inspiratory and end-expiratory breathing (ρ = 0.965). Body mass index was also closely and positively correlated with UDFF (ρ = 0.652; p < 0.001), and highly correlated across positions and respiratory states (ρ = 0.954–0.973; p < 0.001).

conclusionUDFF demonstrates high reliability and consistency, particularly in the supine breath-hold state, offering a standardized protocol for patients with limited mobility or respiratory distress, such as those with COPD or pediatric populations. In addition, the supine breath-hold state may be a more appropriate measurement condition.

Indexed as

Fatty LiverPostureRespirationAdultAgedAlgorithmsFemaleHumansMaleMiddle AgedReproducibility of ResultsRetrospective StudiesUltrasonographyHepatic steatosisLiverPostureRespirationUltrasound

Identifiers

PMID40836281
PMCPMC12366230

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