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Abstract #1381

Usefulness of 3-dimensional MR Texture Analysis (3D-MRTA) for Distinguishing Well-differentiated Liposarcoma fom Lipoma

Seong Jong Yun1, Wook Jin1, Na-Young Choi1, and Kyung Nam Ryu2

1Department of Radiology, Kyung Hee University Hospital at Gangdong, Seoul, Korea, Republic of, 2Department of Radiology, Kyung Hee University Hospital, Seoul, Korea, Republic of

Although magnetic resonance (MR) imaging has been used as standard imaging tool, because of overlapping imaging features, the discrimination between well-differentiated liposarcoma and lipoma is not always clear. Also, no study has evaluated the diagnostic usefulness of 3-dimensional MR texture analysis (3D-MRTA) for distinguishing well-differentiated liposarcoma from lipoma. Therefore, the purpose of this study is to evaluate the usefulness of 3D-MRTA for differentiation between well-differentiated liposarcoma and lipoma, diagnosed on the basis of histopathological features. Regarding mean, MPP, kurtosis, and entropy, values on all sequences were significantly higher in well-differentiated liposarcoma than those in lipoma (p<0.001). The two best performing 3D-MRTA parameters were kurtosis on T2WI (AUC, 0.86; 95 % CI, 0.77-0.95) and entropy on FS-T1CE (AUC, 0.83; 95 % CI, 0.74- 0.93). There were good or excellent interobserver agreements for all measurements (ICC, 0.750–0.885).

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