title: Total lesion glycolysis by 18F-FDG PET/CT is a reliable predictor of prognosis in soft-tissue sarcoma.
abstract: OBJECTIVE
  Preoperative identification of aggressiveness is important for the establishment of a treatment strategy in patients with soft-tissue sarcoma (STS). We compared the predictive values of various metabolic parameters derived from PET/CT with (18)F-FDG, including maximal standardized uptake value (SUVmax), total lesion glycolysis (TLG) and metabolic tumour volume (MTV).
  
  
  METHODS
  A total of 66 patients with STS who had undergone FDG PET/CT before tumour resection were reviewed retrospectively. We determined SUVmax, TLG and MTV to compare their value in predicting disease progression, which was defined as local recurrence and metastases. Receiver operating characteristic curve (ROC) analysis was used to compare the accuracy. Univariate and multivariate analyses of conventional clinicopathological variables were used to compare the reliability of the metabolic parameters.
  
  
  RESULTS
  TLG exhibited greater accuracy than SUVmax or MTV in ROC analysis (area under curve, AUC, 0.802, 0.726 and 0.681, respectively). The cut-off values for disease progression derived from the AUC data were TLG 250; SUVmax 6.0, and MTV 40 cm(3). In univariate analysis, TLG (>250) was a more significant predictive factor than SUVmax and MTV (P < 0.001, P = 0.031 and P = 0.022, respectively). TLG was the only meaningful metabolic parameter in the multivariate analysis (P = 0.008) other than presence of metastasis at diagnosis (P = 0.003).
  
  
  CONCLUSIONS
  TLG is a more accurate predictor of disease progression than SUVmax or MTV. TLG enables accurate preoperative assessment of aggressiveness comparable with conventional clinicopathological parameters.
authors.affiliation: Department of Orthopaedic Surgery, Seoul National University Hospital, 101 Daehak-ro Jongno-gu, Seoul, 110-744, Korea.
authors.forename: Eun-Seok
authors.initials: ES
authors.lastname: Choi
authors.forename: Seung-Gyun
authors.initials: SG
authors.lastname: Ha
authors.forename: Han-Soo
authors.initials: HS
authors.lastname: Kim
authors.forename: Jae Hong
authors.initials: JH
authors.lastname: Ha
authors.forename: Jin Chul
authors.initials: JC
authors.lastname: Paeng
authors.forename: Ilkyu
authors.initials: I
authors.lastname: Han
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D019540:Area Under Curve; D018450:Disease Progression; D005260:Female; D019788:Fluorodeoxyglucose F18; D006019:Glycolysis; D006801:Humans; D008297:Male; D008875:Middle Aged; D064847:Multimodal Imaging; D049268:Positron-Emission Tomography; D011379:Prognosis; D012372:ROC Curve; D012189:Retrospective Studies; D012509:Sarcoma / Q000175:diagnosis* / Q000000981:diagnostic imaging / Q000378:metabolism*; D014057:Tomography, X-Ray Computed; D055815:Young Adult
chemical_list: D019788:Fluorodeoxyglucose F18