Evidence mapPaperPMID 40774298Full record

ArticleUltraschall in der Medizin (Stuttgart, Germany : 1980)2025

UDFF and Auto pSWE accurately assess liver steatosis and fibrosis risk in obese patients with MASLD.

Nina Dominik, Larissa Nixdorf, Michael Schwarz, Benedikt Silvester Hofer, Lukas Hartl, Lorenz Balcar, Georg Semmler, Benedikt Simbrunner, Laurenz Fritz, Laurenz Hauptmann and 11 more

Abstract read
In one paragraph

Article in Ultraschall in der Medizin (Stuttgart, Germany : 1980), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

21 authors.

Nina DominikInternal Medicine III, Division of Gastroenterology and Hepatology, Medical University of Vienna, Vienna, Austria.
Larissa NixdorfDivision of General Surgery and Metabolic- and Bariatric Surgery, Department of Surgery, Medical University of Vienna, Vienna, Austria.
Michael SchwarzInternal Medicine III, Division of Gastroenterology and Hepatology, Medical University of Vienna, Vienna, Austria.
Benedikt Silvester HoferInternal Medicine III, Division of Gastroenterology and Hepatology, Medical University of Vienna, Vienna, Austria.
Lukas HartlInternal Medicine III, Division of Gastroenterology and Hepatology, Medical University of Vienna, Vienna, Austria.
Lorenz BalcarInternal Medicine III, Division of Gastroenterology and Hepatology, Medical University of Vienna, Vienna, Austria.
Georg SemmlerInternal Medicine III, Division of Gastroenterology and Hepatology, Medical University of Vienna, Vienna, Austria.
Benedikt SimbrunnerInternal Medicine III, Division of Gastroenterology and Hepatology, Medical University of Vienna, Vienna, Austria.
Laurenz FritzInternal Medicine III, Division of Gastroenterology and Hepatology, Medical University of Vienna, Vienna, Austria.
Laurenz HauptmannDivision of Cardiology, Department of Medicine II, Medical University of Vienna, Vienna, Austria.
Mathias JachsInternal Medicine III, Division of Gastroenterology and Hepatology, Medical University of Vienna, Vienna, Austria.
Julia JedamzikDivision of General Surgery and Metabolic- and Bariatric Surgery, Department of Surgery, Medical University of Vienna, Vienna, Austria.
Behrang MozayaniDepartment of Pathology, Medical University of Vienna, Vienna, Austria.
Lisa GensthalerDivision of General Surgery and Metabolic- and Bariatric Surgery, Department of Surgery, Medical University of Vienna, Vienna, Austria.
Daniel Moritz FelsenreichDivision of General Surgery and Metabolic- and Bariatric Surgery, Department of Surgery, Medical University of Vienna, Vienna, Austria.
Mattias MandorferInternal Medicine III, Division of Gastroenterology and Hepatology, Medical University of Vienna, Vienna, Austria.
Felix LangerDivision of General Surgery and Metabolic- and Bariatric Surgery, Department of Surgery, Medical University of Vienna, Vienna, Austria.
Michael TraunerInternal Medicine III, Division of Gastroenterology and Hepatology, Medical University of Vienna, Vienna, Austria.
Thomas ReibergerInternal Medicine III, Division of Gastroenterology and Hepatology, Medical University of Vienna, Vienna, Austria.
Gerhard PragerDivision of General Surgery and Metabolic- and Bariatric Surgery, Department of Surgery, Medical University of Vienna, Vienna, Austria.
David Jm BauerInternal Medicine III, Division of Gastroenterology and Hepatology, Medical University of Vienna, Vienna, Austria.ORCID 0000-0002-9363-8518

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic dysfunction-associated steatotic liver disease (MASLD) can progress to fibrosis and cirrhosis. Fibrosis and steatosis assessment with vibration-controlled transient elastography (VCTE) and controlled attenuation parameter (CAP) requires a dedicated device and time to obtain ≥10 reliable measurements. Auto pSWE allows for the simultaneous collection of 15 ARFI-based liver stiffness measurements (LSM) and UDFF-based steatosis assessment in a single acquisition.This prospective study included patients undergoing liver biopsy, primarily during bariatric surgery, between 11/2021-12/2023. Paired LSM by Auto pSWE/VCTE and steatosis assessments by UDFF/CAP were performed within a median of 1 day before or after biopsy.134 patients (65% women, mean age: 42.6±13.3 years) with a high prevalence of obesity (mean BMI: 42.7±10.4; MASLD etiology: 88%) were included. Liver biopsy showed significant fibrosis (≥F2) in 27% of patients and moderate steatosis (≥S2) in 51%. A single 1×15 Auto pSWE acquisition and one UDFF measurement were as accurate as the median of 5 measurements. Auto pSWE (AUC: ≥F2=0.58, ≥F3=0.96, F4=0.97) and VCTE (AUC: ≥F2=0.60, ≥F3=0.92, F4=0.93) demonstrated high accuracy for advanced fibrosis stages. UDFF (AUC: ≥S1=0.79, ≥S2=0.78, S3=0.67) and CAP showed similar diagnostic accuracy.Auto pSWE and UDFF provide accurate, noninvasive tests for advanced liver fibrosis and steatosis in MASLD, even in severely obese patients. Notably, Auto pSWE captures 15 LSM with UDFF in a single acquisition, saving time and eliminating the need for a dedicated device.

Indexed as

Elasticity Imaging TechniquesFatty LiverLiver CirrhosisObesityAdultBiopsyFemaleHumansLiverMaleMiddle AgedProspective Studies

Identifiers

PMID40774298
PMCPMC12700709

What Socratic holds

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Registered trials

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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 Socratic graph.