• Asian Pacific Journal of Cancer Prevention
• /
• v.15 no.15
• /
• pp.6041-6046
• /
• 2014

Objective: Liposarcoma (LPS) is the most common soft tissue sarcoma and accounts for approximately 20% of all mesenchymal malignancies, often occurring in deep soft tissue of retroperitoneal space. Accurate preoperative diagnosis is therefore necessary. We explored whether computed tomography (CT) could be used to differentiate between the various types of retroperitoneal liposarcoma (RPLS). Method: Forty-seven cases of RPLS, diagnosed surgically and histologically, were analyzed retrospectively. CT features were correlated with postoperative pathological appearance. Results: The study radiologist identified 29, 11, 2, 2 and 3 RPLS as atypical lipomatous tumor/well-differentiated liposarcoma (ALT/WDL), dedifferentiated liposarcoma (DDL), myxoid/round cell liposarcoma (ML/RCL), pleomorphic liposarcoma (PL) and mixed-type liposarcoma. Analysis of CT scans revealed the following typical findings of the different subtypes of RPLS: ALT/WDL was mainly visible as a well-delineated fatty hypodense tumor with uniform density and integrity margin; DDL was marked by the combination of focal nodular density and hypervascularity. ML/RCL, PL and mixed liposarcoma showed malignant biological behaviour and CT findings need further studies. Conclusions: CT scanning can reveal important details including internal components, margins and surrounding tissues. Based on CT findings, tumor type can be roughly evaluated and biopsy location and therapeutic scheme guided.

• Archives of Plastic Surgery
• /
• v.36 no.2
• /
• pp.233-236
• /
• 2009

Purpose: Spindle cell lipoma(SCL) is an uncommon subcutaneous soft tissue neoplasm that arises in the shoulder and posterior neck of older male patients. The imaging appearance of SCL is not pathognomonic and can display some features overlapping with liposarcoma. We report a case of SCL on the posterior neck. Method: The patient is a 50 - year - old man with a slowly enlarging subcutaneous mass on the right side of posterior neck. Computed tomographic imaging revealed a 7.0 cm sized, well - circumscribed, heterogenous and fatty mass with enhanced solid components. Whole body Fluorine - 18 Fluorodeoxyglucose Positron emission tomogram(FDG PET-CT) showed little increase of FDG uptake on the right posterior neck and there was no distant metastasis. Results: The mass was surgically removed. The resection margin was free of tumor on frozen biopsy. Histopathologic examination indicated spindle cell lipoma consisting of a mixture of mature adipocytes and uniform spindle cells within a matrix of mucinous material. Conclusion: Although CT image of solidtary mass in posterior neck is similar with the one of liposarcoma, we should consider that it may be a spindle cell lipoma if PET-CT and other systemic studies reveal no distant metastasis. And we should perform fine needle aspiration to differentiate SCL from malignant lesions.

• The Journal of the Korean bone and joint tumor society
• /
• v.11 no.1
• /
• pp.25-31
• /
• 2005

Purpose: This study was designed to know the usefulness of the MRI to distinguish lipoma and well differentiated liposarcoma (WDL). Materials and methods: 47 lipomatous tumors with MRI were reviewed among the 107 lipomatous tumors operated in our department. MRI examinations and their corresponding pathology reports were compared to determine sensitivity, specificity, diagnostic ability, positive predictable value and negative predictable value. Statistical analysis was performed to know the relationship between malignancy of the tumor (WDL) with the age and gender of the patients, and location, depth, size and the enhancement of tumors in MRI. Results: Among 28 lipoma in MRI examinations, 26 were proved as lipoma in pathology, and only 6 were WDL from 19 suspicious lesions in MRI, and others were proved as lipoma variants mostly. The varieties of lipoma variants were fibrolipoma, angiolipoma, spindle cell lipoma, lipoblastoma and angiomyolipoma. The sensitivity, specificity, diagnostic ability, positive predictable value and negative predictable value of MRI were 100%, 68 %, 72%, 31% and 100% in WDL, and 90%, 89%, 89%, 93% and 84% in lipoma. Among the variants to distinguish WDL and lipoma, the size of tumor and enhancement in MRI were significant statistically (p<0.05). Conclusion: MRI was highly sensitive in detection of WDL and highly specific in detection of simple lipoma. The size of tumor and enhancement in MRI were significant variants to distinguish WDL and lipoma. When MRI finding is non-specific, it is more likely to represent one of lipoma variants.