title: MR imaging of fat-containing tumours: the distinction between lipoma and liposarcoma.
abstract: BACKGROUND
  This study aimed to retrospectively review the magnetic resonance (MR) imaging features of the lipomatous tumour in order to differentiate between lipoma and liposarcoma.
  
  
  METHODS
  The MR images of 38 patients (24 female and 14 male with a mean age 48 years) in a consecutive five-year period, who had histologically verified lipoma (n is 29) and liposarcoma (n is 9), were retrospectively reviewed. The images were assessed for the number, site, size and margin of the lesions, as well as the signal intensity (homogenous, bright signal on T1-weighted [T1W] image, bright signal suppressed on T1W with fat-suppression image, bright signal on T2-weighted with fat-suppression image), the internal architecture (thin/thick septum, cystic change), the effect on the surrounding tissue (oedema, neurovascular involvement) and the enhancement pattern.
  
  
  RESULTS
  A partially ill-defined margin, neurovascular involvement, enhancing thick/nodular septum and a partially bright signal intensity on T1W images were statistically significant MR imaging features that favoured a diagnosis of liposarcoma (p-value is less than 0.0001). Male gender, an internal cystic change and surrounding soft tissue oedema increased the risk of liposarcoma approximately 2.8, 3.5 and 3.5 times, respectively, compared with the reference group (lipoma), but this was not a statistically significant finding. Thick/nodular septum was significantly associated with liposarcoma compared with lipoma (odds ratio 69.3, 95 percent confidence interval 5.2-3184.8, p-value is less than 0.0001).
  
  
  CONCLUSIONS
  Statistically significant MR imaging features that favour a diagnosis of liposarcoma included a partially ill-defined margin, neurovascular involvement, enhancing thick/nodular septum, and a partially bright signal intensity on T1W images. The most statistically significant predictor of liposarcoma was thick/nodular septum.
authors.affiliation: Department of Radiology, Ramathibodi Hospital, Mahidol University, Rama 6 Street, Bangkok 10400, Thailand. rasjv@yahoo.com
authors.forename: S
authors.initials: S
authors.lastname: Jaovisidha
authors.forename: Y
authors.initials: Y
authors.lastname: Suvikapakornkul
authors.forename: P
authors.initials: P
authors.lastname: Woratanarat
authors.forename: T
authors.initials: T
authors.lastname: Subhadrabandhu
authors.forename: A
authors.initials: A
authors.lastname: Nartthanarung
authors.forename: P
authors.initials: P
authors.lastname: Siriwongpairat
mesh_terms: D000328:Adult; D016001:Confidence Intervals; D003937:Diagnosis, Differential; D005260:Female; D006801:Humans; D008067:Lipoma / Q000175:diagnosis* / Q000473:pathology; D008080:Liposarcoma / Q000175:diagnosis* / Q000473:pathology; D008279:Magnetic Resonance Imaging; D008297:Male; D008875:Middle Aged; D019042:Muscle Neoplasms / Q000175:diagnosis / Q000473:pathology; D016017:Odds Ratio; D012189:Retrospective Studies; D012307:Risk Factors; D012983:Soft Tissue Neoplasms / Q000175:diagnosis* / Q000473:pathology