Abstract
Well-differentiated liposarcoma represents a radiographic diagnostic dilemma. To determine the accuracy, interrater reliability, and relationship of stranding, nodularity, and size in the MRI differentiation of lipoma and well-differentiated liposarcoma, MRI scans of 60 patients with large (>5 cm), deep, pathologically proven lipomas or well-differentiated liposarcomas were examined by 10 observers with subspecialty training blinded to diagnosis. Observers indicated whether the amount of stranding, nodularity, and size of each tumor suggested a benign or malignant diagnosis and rendered a diagnosis of lipoma or well-differentiated liposarcoma. The accuracy, reliability, and relationship of stranding, nodularity, and size to diagnosis were calculated for all samples. 69% of reader MRI diagnoses agreed with final pathology diagnosis (95% CI 65-73%). Readers tended to err choosing a diagnosis of liposarcoma, correctly identifying lipomas in 63% of cases (95% CI 58-69%) and liposarcomas in 75% of cases (95% CI 69-80%). Assessment of the relationship of stranding, nodularity, and size to correct diagnosis showed that the presence of each was associated with a decreased likelihood of a lipoma pathological diagnosis (P < 0.01). While the radiographic diagnosis of lipoma or well-differentiated liposarcoma cannot be made with 100% certainty, experienced observers have a 69% chance of rendering a correct diagnosis.
Document Type
Article
Publication Date
12-9-2013
Digital Object Identifier (DOI)
http://dx.doi.org/10.1155/2013/982784
Repository Citation
O'Donnell, Patrick W.; Griffin, Anthony M.; Eward, William C.; Sternheim, Amir; White, Lawrence M.; Wunder, Jay S.; and Ferguson, Peter C., "Can Experienced Observers Differentiate between Lipoma and Well-Differentiated Liposarcoma Using Only MRI?" (2013). Markey Cancer Center Faculty Publications. 19.
https://uknowledge.uky.edu/markey_facpub/19
Notes/Citation Information
Published in Sarcoma, v. 2013, 982784.
© 2013 Patrick W. O'Donnell et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.