Evidence map›Paper›PMID 38893664›Full record

ArticleDiagnostics (Basel, Switzerland)2024

Comparison of Vendor-Independent Software Tools for Liver Proton Density Fat Fraction Estimation at 1.5 T.

Zita Zsombor, Boglárka Zsély, Aladár D Rónaszéki, Róbert Stollmayer, Bettina K Budai, Lőrinc Palotás, Viktor Bérczi, Ildikó Kalina, Pál Maurovich Horvat, Pál Novák Kaposi

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2024. 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

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

1 citing paper in PubMed.

  1. 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

10 authors.

Zita ZsomborDepartment of Radiology, Medical Imaging Centre, Semmelweis University, 1083 Budapest, Hungary.ORCID 0000-0002-2369-0329
Boglárka ZsélyDepartment of Radiology, Medical Imaging Centre, Semmelweis University, 1083 Budapest, Hungary.ORCID 0000-0003-3163-886X
Aladár D RónaszékiDepartment of Radiology, Medical Imaging Centre, Semmelweis University, 1083 Budapest, Hungary.
Róbert StollmayerDepartment of Radiology, Medical Imaging Centre, Semmelweis University, 1083 Budapest, Hungary.
Bettina K BudaiDepartment of Radiology, Medical Imaging Centre, Semmelweis University, 1083 Budapest, Hungary.ORCID 0000-0002-3982-7887
Lőrinc PalotásDepartment of Radiology, Medical Imaging Centre, Semmelweis University, 1083 Budapest, Hungary.
Viktor BércziDepartment of Radiology, Medical Imaging Centre, Semmelweis University, 1083 Budapest, Hungary.
Ildikó KalinaDepartment of Radiology, Medical Imaging Centre, Semmelweis University, 1083 Budapest, Hungary.
Pál Maurovich HorvatDepartment of Radiology, Medical Imaging Centre, Semmelweis University, 1083 Budapest, Hungary.ORCID 0000-0003-0885-736X
Pál Novák KaposiDepartment of Radiology, Medical Imaging Centre, Semmelweis University, 1083 Budapest, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1) Background: Open-source software tools are available to estimate proton density fat fraction (PDFF). (2) Methods: We compared four algorithms: complex-based with graph cut (GC), magnitude-based (MAG), magnitude-only estimation with Rician noise modeling (MAG-R), and multi-scale quadratic pseudo-Boolean optimization with graph cut (QPBO). The accuracy and reliability of the methods were evaluated in phantoms with known fat/water ratios and a patient cohort with various grades (S0-S3) of steatosis. Image acquisitions were performed at 1.5 Tesla (T). (3) Results: The PDFF estimates showed a nearly perfect correlation (Pearson r = 0.999,

Indexed as

chemical-shift-encoded MRI (CSE-MRI)metabolic-associated steatotic liver disease (MASLD)open-source softwarephantomproton density fat fraction (PDFF)quantitative imaging biomarker

Identifiers

PMID38893664
PMCPMC11171873

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Registered trials

None linked

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.