title: Quantification of serial tumor glucose metabolism.
abstract: We developed a method to improve the quantitative precision of FDG-PET scans in cancer patients. The total-lesion evaluation method generates a correlation coefficient (r) constrained Patlak parametric image of the lesion together with three calculated glucose metabolic indices: (a) the total-lesion metabolic index ("KT-tle", ml/min/lesion); (b) the total-lesion voxel index ("VT-tle", voxels/lesion); and (c) the global average metabolic index ("KV-tle", ml/min/voxel).
  
  
  METHODS
  The glucose metabolic indices obtained from conventional region of interest (ROI) and multiplane evaluation were used as standards to evaluate the accuracy of the total-lesion evaluation method. Computer simulations and four patients with metastatic melanoma before and after chemotherapy were studied.
  
  
  RESULTS
  Computer simulations showed that the total-lesion evaluation method has improved precision (% s.d. < 0.6%) and accuracy (approximately 10% error) compared with the conventional ROI method (% s.d. approximately 5%; approximately 25% error). The KT-tle and VT-tle indices from human FDG-PET studies using the total-lesion evaluation method showed excellent correlations with the corresponding values obtained from the conventional ROI methods and multiplane evaluation (r approximately 1.0) and CT lesion volume measurements.
  
  
  CONCLUSIONS
  This method is a simple but reliable way to quantitatively monitor tumor FDG uptake. The method has several advantages over the conventional ROI method: (a) less sensitive to the ROI definition, (b) no need for image registration of serial scan data and (c) includes tumor volume changes in the global tumor metabolism.
authors.affiliation: Department of Molecular and Medical Pharmacology, UCLA School of Medicine 90095-6948, USA.
authors.forename: H M
authors.initials: HM
authors.lastname: Wu
authors.forename: C K
authors.initials: CK
authors.lastname: Hoh
authors.forename: S C
authors.initials: SC
authors.lastname: Huang
authors.forename: W J
authors.initials: WJ
authors.lastname: Yao
authors.forename: M E
authors.initials: ME
authors.lastname: Phelps
authors.forename: R A
authors.initials: RA
authors.lastname: Hawkins
mesh_terms: D003198:Computer Simulation; D003847:Deoxyglucose / Q000031:analogs & derivatives*; D005462:Fluorine Radioisotopes; D019788:Fluorodeoxyglucose F18; D005947:Glucose / Q000378:metabolism*; D006801:Humans; D008113:Liver Neoplasms / Q000000981:diagnostic imaging / Q000378:metabolism / Q000556:secondary; D008175:Lung Neoplasms / Q000000981:diagnostic imaging / Q000378:metabolism / Q000556:secondary; D008207:Lymphatic Metastasis; D008545:Melanoma / Q000000981:diagnostic imaging* / Q000378:metabolism* / Q000556:secondary; D008954:Models, Biological; D015203:Reproducibility of Results; D014055:Tomography, Emission-Computed / Q000379:methods*
chemical_list: D005462:Fluorine Radioisotopes; D019788:Fluorodeoxyglucose F18; D003847:Deoxyglucose; D005947:Glucose