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Can Experienced Observers Differentiate between Lipoma and Well-Differentiated Liposarcoma Using Only MRI?
Patrick W O'Donnell1, Anthony M Griffin2, William C Eward3
1Department of Orthopaedic Surgery, Markey Cancer Center, University of Kentucky, 740 S. Limestone Avenue, Lexington, KY 40536, USA.
Sarcoma
|January 4, 2014
Summary
Radiologists can correctly diagnose lipomas and well-differentiated liposarcomas using MRI with 69% accuracy. Tumor characteristics like stranding and nodularity influence diagnostic confidence, with their presence decreasing the likelihood of a lipoma diagnosis.
Area of Science:
- Radiology
- Oncology
- Pathology
Background:
- Well-differentiated liposarcoma poses a diagnostic challenge in radiographic interpretation.
- Distinguishing lipomas from well-differentiated liposarcomas on MRI is crucial for appropriate patient management.
Purpose of the Study:
- To assess the accuracy and interrater reliability of MRI in differentiating lipomas from well-differentiated liposarcomas.
- To investigate the relationship between MRI features (stranding, nodularity, size) and the accurate diagnosis of these soft tissue tumors.
Main Methods:
- 10 subspecialty-trained observers reviewed MRI scans of 60 pathologically confirmed large (>5 cm), deep lipomas or well-differentiated liposarcomas.
- Observers evaluated tumor characteristics (stranding, nodularity, size) and provided a diagnosis of either lipoma or well-differentiated liposarcoma.
- Diagnostic accuracy, interrater reliability, and the influence of specific features were statistically analyzed.
Main Results:
- Overall diagnostic agreement with final pathology was 69% (95% CI 65-73%).
- Readers correctly identified lipomas in 63% of cases and liposarcomas in 75% of cases.
- Increased stranding, nodularity, and size were significantly associated with a decreased likelihood of a lipoma diagnosis (P < 0.01).
Conclusions:
- While MRI differentiation between lipoma and well-differentiated liposarcoma is not definitive, experienced observers achieve 69% accuracy.
- Radiographic features including stranding, nodularity, and size are important indicators that can aid in distinguishing between these two entities.
