Evidence map›Paper›PMID 40471269›Full record

ArticleSkeletal radiology2025

MRI of atypical lipomatous tumor: does contrast help? A multicenter study.

Hande Nalbant, Yasser G Abdelhafez, Cyrus Bateni, Felipe Godinez, Sonia Lee, Michelle Zhang, Jinyi Qi, Nimu Yuan, Fatma Sen, Ahmed W Moawad and 5 more

Abstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Skeletal radiology, 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

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. Review
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

15 authors.

Hande Nalbant *Department of Radiology, University of California Davis, Sacramento, CA, USA. drhandenalbant@yahoo.com.ORCID http://orcid.org/0000-0002-8600-6707
Yasser G Abdelhafez *Department of Radiology, University of California Davis, Sacramento, CA, USA.
Cyrus BateniDepartment of Radiology, University of California Davis, Sacramento, CA, USA.
Felipe GodinezDepartment of Radiology, University of California Davis, Sacramento, CA, USA.
Sonia LeeDepartment of Radiological Sciences, University of California Irvine, Irvine, CA, USA.
Michelle ZhangDepartment of Diagnostic Radiology, McGill University Health Center, Montreal, Canada.
Jinyi QiDepartment of Biomedical Engineering, University of California, Davis, CA, USA.
Nimu YuanDepartment of Biomedical Engineering, University of California, Davis, CA, USA.
Fatma SenDepartment of Radiology, University of California Davis, Sacramento, CA, USA.
Ahmed W MoawadDepartment of Diagnostic Imaging, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Khalid M ElsayesDepartment of Diagnostic Imaging, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Morgan A DarrowDepartment of Pathology, University of California Davis, Sacramento, CA, USA.
Thomas M LinkDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA.
Michele GuindaniDepartment of Biostatistics, University of California Los Angeles, Los Angeles, CA, USA.
Lorenzo NardoDepartment of Radiology, University of California Davis, Sacramento, CA, USA.

Funding

Staff InvestigatorsP30CA093373 · NCI · UNIVERSITY OF CALIFORNIA DAVIS · PI Gina M Dayton · 2002 to 2026
$84.9M
NCI NIH HHS P30 CA093373
6 · The paper itself

Abstract

objectiveTo compare the diagnostic performance of non-contrast MRI versus MRI with contrast for differentiating atypical lipomatous tumors (ALT) from lipomas. MATERIALS AND

methodsThis multicenter retrospective study included subjects with a histopathologic diagnosis of lipoma or ALT and a preoperative MRI study with contrast. An experienced musculoskeletal radiologist reviewed the images in two sessions, the first session with non-contrast only, and the second session, including postcontrast sequences. In each session, the radiologist assigned a binary classification (lipoma or ALT) and a 5-point diagnostic score to reflect clinical reporting. Pathology reports served as the reference standard. McNemar's test was used to evaluate the statistical significance of the differences in sensitivity and specificity, while intraclass correlation coefficients (ICC) compared ordinal diagnostic scores.

resultsFour-hundred and forty-one patients (219 ALT, 222 lipoma) were eligible for analysis. In the first session, 76.1% of the lesions were classified as true negative and 76.3% as true positive. In the second session, 74.8% of lesions were assessed as true negative and 77.2% as true positive. There were no significant differences between the two readings in terms of sensitivity or specificity. The agreement in assigning the exact score between the two sessions, as measured by ICC, was 0.878 (95%CI: 0.855-0.898).

conclusionOur study found no significant difference between the radiological readings of MRIs that used only precontrast sequences were used for the evaluation of lipoma and ALT, and those that included both pre- and postcontrast-enhanced sequences.

Indexed as

Contrast MediaLipomaMagnetic Resonance ImagingSoft Tissue NeoplasmsAdolescentAdultAgedAged, 80 and overDiagnosis, DifferentialFemaleHumansMaleMiddle AgedReproducibility of ResultsRetrospective StudiesSensitivity and SpecificityContrast MediaAtypical lipomatous tumorGadoliniumLipomaMRI

Identifiers

PMID40471269
PMCPMC12552331

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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 OpenQuestion graph.