MRI features and differential diagnosis of desoid-type fibromatosis
LIANG Jun-sheng1, ZENG Zhong-gang1, LI Yang-bin2, WANG Qing-yun1, LI Qiu-yu1, XU Tuan-xin1
1. Department of Radiology, Tung Wah Hospital Affiliated Sun Yat-sen University, Dongguan Guangdong 523013, China;2. Department of Radiology, the Second Affiliated Hospital of Guangzhou Medical University, Guangzhou 510260, China
Abstract：Objective: To investigate the MRI features and clinical value of soft tissue desoid-type fibromatosis(DF). Methods: Sixteen cases DF confirmed by pathology were collected, 5 cases were received MRI pre-scanning, 11 cases were received MR pre- and post-contrast scanning. To analyze the probability of various features, their combination and the diagnostic coincidence rate. Results: Among 12 extra-abdominal types, 3 cases were in the hip, 1 case was in back, 7 cases were in limbs, 1 case was in submandibular. Abdominal wall type had 4 cases. Two cases of extra-abdominal type were recurred after 1 or 2.5 years. Nine cases were lobulated or irregular contours． Seven cases were round or fusiform. The maximum size was 12.3 cm×10.5 cm, the minimus size was 1.9 cm×2.3 cm. Fourteen cases of tumor with long axis parallel to the muscle fibers. Six cases with clear boundary. Ten cases of boundary were not well defined. Thirteen cases with heterogeneous signal, 3 cases with homogeneous signal and five cases of iso-intensity were on T1WI, eleven cases with mild hyper-intensity on T2WI. Iso- or hyperintense on T2WI and STIR. Each sequence were found in the mass shadow irregular distribution of linear areas of low signal. Enhanced scan were obvious uneven arterial enhancement. Linear areas of low signal in pre-scanning were light or no obvious enhancement. Conclusion: Each MRI sequence was found in the mass shadow irregular distribution of linear areas with nor or slight enhancement in low signal, and tumor with long axis parallel to the muscle fiber were characteristic features of DF. It was important to understanding correctly of these signs for the diagnosis and differential diagnosis of DF.
2015, Vol. 26 
