title: PET-based primary tumor volumetric parameters and survival of patients with non-small cell lung carcinoma.
abstract: OBJECTIVE
  The purpose of the study was to assess metabolic tumor volume and total glycolytic activity of the primary tumor as prognostic parameters for outcome in patients with non-small cell lung carcinoma (NSCLC).
  
  
  METHODS
  Thirty-nine patients who had undergone a baseline staging PET/CT examination at our institution for the diagnosis of NSCLC were retrospectively identified. The maximum standardized uptake value (SUV(max)), metabolic tumor volume, and total glycolytic activity were segmented from PET using the gradient method; 12-month survival and overall survival at the end of follow-up were used as outcome measures. Multivariate logistic regression, receiver operating characteristic curve analysis, and Kaplan-Meier curves for survival analysis were generated and compared using the Mantel-Cox log-rank test.
  
  
  RESULTS
  The mean gradient-based metabolic tumor volume and gradient-based total glycolytic activity were significantly greater in the patients who died (93.3 mL and 597.5 g) than in those who survived (19.3 mL and 193.9 g, respectively) (p < 0.003 and p < 0.031). There was no statistically significant difference in the mean SUV(max) between the patients who survived (12.7) at 12 months and those who had died (13.1) (p = 0.85). On multivariate analysis, gradient-based metabolic tumor volume was the only variable associated with 12-month mortality when adjusted for all other factors.(.) The area under the curve (AUC) for gradient-based metabolic tumor volume was 0.77 (p < 0.006). A significant difference in the time to survival was observed between high and low gradient-based metabolic tumor volume (log-rank p < 0.05) cohorts using the median gradient-based metabolic tumor volume (9.7 mL) as the cut point.
  
  
  CONCLUSIONS
  PET-based volumetric imaging parameters are potential prognostic markers of outcome in patients with NSCLC.
authors: Department of Radiology, Boston University School of Medicine, Boston, MA, USA.
authors: Jessica
authors: J
authors: Davison
authors: Gustavo
authors: G
authors: Mercier
authors: Gregory
authors: G
authors: Russo
authors: Rathan M
authors: RM
authors: Subramaniam
mesh_terms: D000368:Aged; D001900:Boston / Q000453:epidemiology; D002289:Carcinoma, Non-Small-Cell Lung / Q000175:diagnosis* / Q000378:metabolism* / Q000473:pathology; D005260:Female; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods* / Q000706:statistics & numerical data*; D008175:Lung Neoplasms / Q000175:diagnosis* / Q000401:mortality* / Q000473:pathology; D008297:Male; D064847:Multimodal Imaging / Q000706:statistics & numerical data*; D049268:Positron-Emission Tomography; D015995:Prevalence; D011379:Prognosis; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D016019:Survival Analysis; D015996:Survival Rate; D014057:Tomography, X-Ray Computed; D047368:Tumor Burden