Quantification of serial tumor glucose metabolism

Hsiao Ming Wu, Carl K. Hoh, Sung Cheng Huang, Wei Jen Yao, Michael E. Phelps, Randall A. Hawkins

Research output: Contribution to journalArticlepeer-review

17 Citations (Scopus)


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 (ml/min/lesion); (b) the total-lesion voxel index (voxels/lesion); and (c) the global average metabolic index (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 (~10% error) compared with the conventional ROI method (%s.d. ~5%; ~25% error). The 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 ~ 1.0) and CT lesion volume measurements. Conclusion: 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.

Original languageEnglish
Pages (from-to)506-513
Number of pages8
JournalJournal of Nuclear Medicine
Issue number3
Publication statusPublished - 1996 Mar

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging


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