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Published on: January 7, 2015
Fat-containing soft-tissue tumors: Imaging findings and pathologic correlation.
Leonor G Savarese1, Nicolas Papalexis2, Mateus A Hernandes3
1Department of Medical Imaging, Hematology and Clinical Oncology, Ribeirao Preto Medical School, University of Sao Paulo, Av. Bandeirantes, 3900 CEP, Ribeirão Preto, SP, 14049-090, Brazil. lsavarese@hcrp.usp.br.
Skeletal Radiology
|February 19, 2026
Summary
This review offers a practical MRI framework for evaluating fat-containing soft-tissue tumors. It highlights key features and advanced techniques to differentiate benign lipomas from malignant liposarcomas.
Area of Science:
- Radiology
- Oncology
- Pathology
Background:
- Fat-containing soft-tissue tumors range from benign lipomas to malignant liposarcomas.
- Overlapping MRI features present diagnostic challenges for radiologists.
- Accurate differentiation is crucial for appropriate patient management.
Purpose of the Study:
- To provide a practical, evidence-based framework for imaging adipocytic soft-tissue lesions.
- To synthesize current literature on MRI evaluation of these tumors.
- To aid radiologists in distinguishing benign from malignant lesions.
Main Methods:
- Review of current literature on MRI of fat-containing soft-tissue tumors.
- Discussion of key MRI features for risk stratification.
- Emphasis on imaging-pathology correlation and diagnostic pitfalls.
Main Results:
- Conventional MRI criteria (size, depth, septal thickness, nodularity) are central to risk stratification.
- Contrast-enhanced MRI and molecular testing (MDM2 amplification, FUS::DDIT3 fusion) aid in indeterminate cases.
- Emerging tools like radiomics and AI offer complementary approaches.
Conclusions:
- Integrating classical imaging with contemporary frameworks improves assessment of fat-containing soft-tissue tumors.
- This review serves as a comprehensive reference for radiologists.
- Accurate diagnosis relies on a combination of imaging features, pathology, and molecular data.
