Evidence map›Paper›PMID 40068624›Full record

ArticleArchives of craniofacial surgery2025

The diagnostic accuracy of depth prediction for lipomas by preoperative imaging with distribution according to anatomical site in Korea: a retrospective analysis.

Geon Hwi Kim, Jong Hun Lee

Abstract read
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Article in Archives of craniofacial surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Geon Hwi KimDepartment of Plastic and Reconstructive Surgery, Nowon Eulji Medical Center, Eulji University School of Medicine, Seoul, Korea.
Jong Hun LeeDepartment of Plastic and Reconstructive Surgery, Nowon Eulji Medical Center, Eulji University School of Medicine, Seoul, Korea.

Funding

Eulji University EJRG-19-15
6 · The paper itself

Abstract

backgroundLipomas are common benign connective-tissue tumors that usually present as slow-growing, painless, subcutaneous masses. Deeper variants, such as intramuscular, intermuscular, and submuscular lipomas, are larger and rarer. Accurate preoperative depth determination is crucial for planning appropriate surgical resection.

methodsWe retrospectively reviewed 190 lipoma cases treated at a single medical center from January 2013 to August 2023. The accuracy of preoperative imaging techniques-ultrasonography (USG), computed tomography (CT), and magnetic resonance imaging (MRI)-in predicting lipoma depth was assessed.

resultsUSG, CT, and MRI showed accuracies of 72.5%, 56.5%, and 79.3%, respectively, with MRI showing the highest predictive accuracy. The trunk was the most common site for lipomas (49.5%), followed by the upper (20.5%) and lower extremities (13.2%). USG was more accurate for lipomas in the lower extremities and neck, whereas CT was less accurate for lipomas in the trunk.

conclusionMRI is preferable for the preoperative depth assessment of lipomas, especially those located in the trunk. Accurate imaging is essential for guiding surgical planning and avoiding complications. Further studies with larger sample sizes are required to validate our findings.

Indexed as

LipomaMagnetic resonance imagingTomography, X-ray computedUltrasonography

Identifiers

PMID40068624
PMCPMC11917405

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