ArticleSarcoma2018
The Value of MRI in Distinguishing Subtypes of Lipomatous Extremity Tumors Needs Reassessment in the Era of MDM2 and CDK4 Testing.
Article in Sarcoma, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.
- Diagnostic accuracy of CT and MR features for detecting atypical lipomatous tumors and malignant liposarcomas: a systematic review and meta-analysis.European radiology · 2023Pooled it
- Evaluating shear wave elastography for differentiating lipomas from low to intermediate grade liposarcomas: is it reproducible and reliable?Skeletal radiology · 2025Article
- The role of molecular pathology in soft tissue tumor diagnosis: what the radiologist needs to know.Skeletal radiology · 2025Review
- Article
- FISH Diagnostic Assessment ofInternational journal of molecular sciences · 2023Article
- MRI imaging of soft tissues tumours and tumour like lesions-SLAM approach.Journal of clinical orthopaedics and trauma · 2022Article
- Radiomics of Musculoskeletal Sarcomas: A Narrative Review.Journal of imaging · 2022Review
- The incidence and relevance of non-fatty components in trunk and extremity lipomatous soft tissue masses.The British journal of radiology · 2021Article
- Article
- Pilot study to differentiate lipoma from atypical lipomatous tumour/well-differentiated liposarcoma using MR radiomics-based texture analysis.Skeletal radiology · 2020Article
- Article
Corrections and comments
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Authors and funding
12 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionExtremity lipomas and well-differentiated liposarcomas (WDLs) are difficult to distinguish on MR imaging. We sought to evaluate the accuracy of MRI interpretation using MDM2 amplification, via fluorescence in-situ hybridization (FISH), as the gold standard for pathologic diagnosis. Furthermore, we aimed to investigate the utility of a diagnostic formula proposed in the literature.
methodsWe retrospectively collected 49 patients with lipomas or WDLs utilizing MDM2 for pathologic diagnosis. Four expert readers interpreted each patient's MRI independently and provided a diagnosis. Additionally, a formula based on imaging characteristics (i.e. tumor depth, diameter, presence of septa, and internal cystic change) was used to predict the pathologic diagnosis. The accuracy and reliability of imaging-based diagnoses were then analyzed in comparison to the MDM2 pathologic diagnoses.
resultsThe accuracy of MRI readers was 73.5% (95% CI 61-86%) with substantial interobserver agreement (
conclusionThe accuracy of both our readers and the formula suggests that MRI remains unreliable for distinguishing between lipoma and WDLs.
Identifiers
What OpenQuestion holds
Registered trials
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.