Evidence map›Paper›PMID 39526094›Full record

ReviewSAGE open medicine2024

Use of radiologic imaging to differentiate lipoma from atypical lipomatous tumor/well-differentiated liposarcoma: Systematic review.

Muhammad Muhib, Syeda Labiba Fatima Abidi, Uzair Ahmed, Ahson Afzal, Anoosh Farooqui, Omer Bin Khalid Jamil, Shayan Ahmed, Hifza Agha

Abstract readReview
In one paragraph

Review in SAGE open medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Small bowel volvulus due to a mesenteric lipoma: a case report.International journal of surgery case reports · 2026
    Article
  2. Article
  3. Review
  4. Nasopharyngeal Lipoma Anterior to the Eustachian Tube Orifice: A Case Report.Journal of rhinology : official journal of the Korean Rhinologic Society · 2026
    Article
  5. Article
  6. Liposarcoma: State of the Art-A Scoping Review.Medical sciences (Basel, Switzerland) · 2026
    Article
  7. Article
  8. Article
  9. 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

8 authors.

Muhammad MuhibUnited Medical & Dental College, Karachi, Sindh, Pakistan.ORCID https://orcid.org/0000-0002-8598-2212
Syeda Labiba Fatima AbidiUnited Medical & Dental College, Karachi, Sindh, Pakistan.
Uzair AhmedUnited Medical & Dental College, Karachi, Sindh, Pakistan.
Ahson AfzalDow University of Health Sciences, Karachi, Sindh, Pakistan.
Anoosh FarooquiUnited Medical & Dental College, Karachi, Sindh, Pakistan.
Omer Bin Khalid JamilDepartment of Surgery, Civil Hospital, Karachi, Sindh, Pakistan.
Shayan AhmedShaheed Mohtarma Benazir Bhutto Medical College Lyari, Karachi, Sindh, Pakistan.ORCID https://orcid.org/0000-0002-2498-4708
Hifza AghaShaheed Mohtarma Benazir Bhutto Medical College Lyari, Karachi, Sindh, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Lipomas and atypical lipomatous tumors or well-differentiated liposarcomas (ALTs/WDLs), pose a diagnostic challenge due to their overlapping clinical and imaging features. Accurate differentiation is crucial as treatment strategies differ significantly between benign lipomas and malignant ALTs/WDLs. In recent years, medical imaging techniques have shown promise in distinguishing lipomas from ALTs/WDLs by providing enhanced visualization and assessment of various imaging parameters. Objective: This systematic review aimed to investigate the use of magnetic resonance (MR) imaging and computed tomography (CT) scan to differentiate lipomas from ALTs/WDLs. Methods: A systematic review was conducted by using MEDLINE, PubMed, PubMed Central, Cochrane Library, Google Scholar, and clinical trail.gov to identify imaging studies published between 2001 and 2022. Two independent reviewers reviewed 221 record to scrutinize the studies. The methodological quality of each included studies was assessed the using Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2) tool. Results: Thirteen retrospective cohort studies included 1,390 of total patients. Among them, 11 studies used MR imaging, 2 studies used CT scan and MR imaging both to differentiate lipoma from ALTs/WDLs. The significant diagnostic variables identified in the included studies were age, size, texture, mean intensity, contrast enhancement, location, septation, and nodularity. The overall, sensitivity, specificity, and accuracy of the included studies for diagnosis of lesions range from 66% to 100%, 37% to 100%, and 76% to 95%, respectively. The positive and negative predictive values range from 46.9% to 90% and 86% to 100%, respectively. Conclusion: The most frequent diagnostic features of ALTs/ WDLs include tumors ⩾110 mm in size, often in patients over 60, predominantly in the lower extremities, with an irregular shape, incomplete fat suppression, contrast enhancement, nodularity, septation >2 mm, and predictive markers such as lactate dehydrogenase >220 and a short tau inversion recovery-signal intensity ratio >1.18.

Indexed as

atypical lipomatous tumorCT scandiagnostic imaginglipomaMR imagingwell-differentiated liposarcoma

Identifiers

PMID39526094
PMCPMC11549689

What OpenQuestion holds

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LicenceCC BY-NC
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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.