title: Hepatic hemangiomas and malignant tumors: improved differentiation with heavily T2-weighted conventional spin-echo MR imaging.
abstract: OBJECTIVE
  To determine whether hemangiomas and malignant tumors can be better differentiated at 1.5-T magnetic resonance imaging with use of more heavily T2-weighted conventional spin-echo sequences.
  
  
  METHODS
  Eighty-three patients with focal liver lesions (50 malignant tumors, 24 hemangiomas, nine cysts) larger than 1 cm were studied with a 3,000/80, 160 sequence (repetition time msec/echo time [TE] msec). T2 relaxation times and lesion/liver signal intensity ratios at TEs of 80 and 160 msec were measured. Receiver operating characteristic (ROC) analyses of expert readers and quantitative measures were performed.
  
  
  RESULTS
  T2 relaxation times demonstrated the best performance in distinguishing hemangiomas from malignant tumors (area under ROC curve = .99 +/- .01). Mean T2 times were 76 msec +/- 11 for malignant tumors, 142 msec +/- 40 for hemangiomas, and 341 msec +/- 38 for cysts. A cutoff T2 value of 112 msec allowed discrimination between hemangiomas and malignant tumors with a 97% accuracy, 100% sensitivity, and 92% specificity.
  
  
  CONCLUSIONS
  Hemangiomas and malignant tumors are better differentiated with use of T2 relaxation times obtained with a more heavily T2-weighted sequence.
authors.affiliation: Department of Radiology, Harvard Medical School, Boston, MA.
authors.forename: E G
authors.initials: EG
authors.lastname: McFarland
authors.forename: W W
authors.initials: WW
authors.lastname: Mayo-Smith
authors.forename: S
authors.initials: S
authors.lastname: Saini
authors.forename: P F
authors.initials: PF
authors.lastname: Hahn
authors.forename: M A
authors.initials: MA
authors.lastname: Goldberg
authors.forename: M J
authors.initials: MJ
authors.lastname: Lee
mesh_terms: D003560:Cysts / Q000175:diagnosis / Q000453:epidemiology; D003937:Diagnosis, Differential; D006391:Hemangioma / Q000175:diagnosis* / Q000453:epidemiology; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008099:Liver / Q000473:pathology*; D008107:Liver Diseases / Q000175:diagnosis / Q000453:epidemiology; D008113:Liver Neoplasms / Q000175:diagnosis* / Q000453:epidemiology / Q000556:secondary; D008279:Magnetic Resonance Imaging / Q000379:methods*; D011446:Prospective Studies; D012372:ROC Curve; D012680:Sensitivity and Specificity