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Related Concept Videos

Ultrasonography01:17

Ultrasonography

Ultrasonography is an imaging technique that uses high-frequency sound waves to visualize the body's internal structures. It is a non-invasive and safe procedure that does not involve the use of ionizing radiation, making it widely used in various medical fields. Ultrasonography is used to study heart function, blood flow in the neck or extremities, certain conditions such as gallbladder disease, and fetal growth and development.
During an ultrasonography procedure, a handheld device called a...

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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.

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|February 19, 2026
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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.

Keywords:
FatLipomaLiposarcomaMRIMagnetic resonance imagingNeoplasmSoft-tissue tumor

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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.