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• W2125177176 abstract "Purpose/Objective(s)To comprehensively characterize tumor biology and evaluate the utility of several standard versus novel methods of analysis in dynamic 18F-fluorodeoxyglucose-positron emission tomography (18F-FDG-PET) studies prior to radiation therapy.Materials/MethodsUT14/UT16A head and neck, and A549 lung tumor xenografts were established subcutaneously in the flank of nu/nu mice. After growth to a minimum diameter of 8mm (n = 5 - 6 per tumor line), tumors underwent PET/CT imaging twice (day 0 and 7) using a FLEX Triumph PET-SPECT-CT system (GE Healthcare/Gamma Medica-Ideas, Waukesha, WI). Mice were anesthetized with 1 - 2% isoflurane and 22.9 MBq (± 10%) of 18F-FDG was injected via tail vein. Animals were dynamically PET imaged for 2 hours followed by a CT scan. Tumor volumes were calculated from CT data. Tumor activity (Q-SUVMAX) from 18F-FDG time-activity curves was used to calculate the Sensitivity Factor, where S-factor = d{ln(Q-SUVMAX)/d{ln(t)} using regression of log-transformed data. The S-factor was correlated with the maximum standardized uptake value (SUVMAX), retention index (RI), traditional kinetic modeling (Ki), specific growth rate (SGR) and tumor doubling time (DT). A p-value <0.05 was considered significant by paired t-tests. Procedures were approved by Beaumont Research Institute IACUC.ResultsThe S-factor was the only metabolic parameter to significantly change in the UT14/UT16A tumor xenografts in the one-week interval between individual PET scans (p = 0.009, 0.034). No significant change in the Ki, the RI, or the SUVMAX were evident. There was a strong correlation between the relative changes in tumor volume and those of the S-factor (A549; R = 0.907, UT14; R = 0.828, UT16A; R = 0.689). Interestingly, there was also a strong correlation between the SUVMAX and the Ki in the UT14/UT16A tumors in which the S-factor changed (R = 0.819, 0.701), which was not seen in the A549 tumors that showed no S-factor change.ConclusionsChanges in the S-factor appear to precede changes in the SUVMAX, Ki, and RI, suggesting that the S-factor may be a more informative parameter than the preceding metrics when comparing multiple time points. Additionally, the correlation seen for changes in tumor volume and S-factor suggests that this parameter may be a useful surrogate for tumor growth rate and/or metabolism. This information could be used to incorporate a biological component into radiation treatment planning. Further evaluation of the S-factor is currently underway. Purpose/Objective(s)To comprehensively characterize tumor biology and evaluate the utility of several standard versus novel methods of analysis in dynamic 18F-fluorodeoxyglucose-positron emission tomography (18F-FDG-PET) studies prior to radiation therapy. To comprehensively characterize tumor biology and evaluate the utility of several standard versus novel methods of analysis in dynamic 18F-fluorodeoxyglucose-positron emission tomography (18F-FDG-PET) studies prior to radiation therapy. Materials/MethodsUT14/UT16A head and neck, and A549 lung tumor xenografts were established subcutaneously in the flank of nu/nu mice. After growth to a minimum diameter of 8mm (n = 5 - 6 per tumor line), tumors underwent PET/CT imaging twice (day 0 and 7) using a FLEX Triumph PET-SPECT-CT system (GE Healthcare/Gamma Medica-Ideas, Waukesha, WI). Mice were anesthetized with 1 - 2% isoflurane and 22.9 MBq (± 10%) of 18F-FDG was injected via tail vein. Animals were dynamically PET imaged for 2 hours followed by a CT scan. Tumor volumes were calculated from CT data. Tumor activity (Q-SUVMAX) from 18F-FDG time-activity curves was used to calculate the Sensitivity Factor, where S-factor = d{ln(Q-SUVMAX)/d{ln(t)} using regression of log-transformed data. The S-factor was correlated with the maximum standardized uptake value (SUVMAX), retention index (RI), traditional kinetic modeling (Ki), specific growth rate (SGR) and tumor doubling time (DT). A p-value <0.05 was considered significant by paired t-tests. Procedures were approved by Beaumont Research Institute IACUC. UT14/UT16A head and neck, and A549 lung tumor xenografts were established subcutaneously in the flank of nu/nu mice. After growth to a minimum diameter of 8mm (n = 5 - 6 per tumor line), tumors underwent PET/CT imaging twice (day 0 and 7) using a FLEX Triumph PET-SPECT-CT system (GE Healthcare/Gamma Medica-Ideas, Waukesha, WI). Mice were anesthetized with 1 - 2% isoflurane and 22.9 MBq (± 10%) of 18F-FDG was injected via tail vein. Animals were dynamically PET imaged for 2 hours followed by a CT scan. Tumor volumes were calculated from CT data. Tumor activity (Q-SUVMAX) from 18F-FDG time-activity curves was used to calculate the Sensitivity Factor, where S-factor = d{ln(Q-SUVMAX)/d{ln(t)} using regression of log-transformed data. The S-factor was correlated with the maximum standardized uptake value (SUVMAX), retention index (RI), traditional kinetic modeling (Ki), specific growth rate (SGR) and tumor doubling time (DT). A p-value <0.05 was considered significant by paired t-tests. Procedures were approved by Beaumont Research Institute IACUC. ResultsThe S-factor was the only metabolic parameter to significantly change in the UT14/UT16A tumor xenografts in the one-week interval between individual PET scans (p = 0.009, 0.034). No significant change in the Ki, the RI, or the SUVMAX were evident. There was a strong correlation between the relative changes in tumor volume and those of the S-factor (A549; R = 0.907, UT14; R = 0.828, UT16A; R = 0.689). Interestingly, there was also a strong correlation between the SUVMAX and the Ki in the UT14/UT16A tumors in which the S-factor changed (R = 0.819, 0.701), which was not seen in the A549 tumors that showed no S-factor change. The S-factor was the only metabolic parameter to significantly change in the UT14/UT16A tumor xenografts in the one-week interval between individual PET scans (p = 0.009, 0.034). No significant change in the Ki, the RI, or the SUVMAX were evident. There was a strong correlation between the relative changes in tumor volume and those of the S-factor (A549; R = 0.907, UT14; R = 0.828, UT16A; R = 0.689). Interestingly, there was also a strong correlation between the SUVMAX and the Ki in the UT14/UT16A tumors in which the S-factor changed (R = 0.819, 0.701), which was not seen in the A549 tumors that showed no S-factor change. ConclusionsChanges in the S-factor appear to precede changes in the SUVMAX, Ki, and RI, suggesting that the S-factor may be a more informative parameter than the preceding metrics when comparing multiple time points. Additionally, the correlation seen for changes in tumor volume and S-factor suggests that this parameter may be a useful surrogate for tumor growth rate and/or metabolism. This information could be used to incorporate a biological component into radiation treatment planning. Further evaluation of the S-factor is currently underway. Changes in the S-factor appear to precede changes in the SUVMAX, Ki, and RI, suggesting that the S-factor may be a more informative parameter than the preceding metrics when comparing multiple time points. Additionally, the correlation seen for changes in tumor volume and S-factor suggests that this parameter may be a useful surrogate for tumor growth rate and/or metabolism. This information could be used to incorporate a biological component into radiation treatment planning. Further evaluation of the S-factor is currently underway." @default.
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• W2125177176 date "2011-10-01" @default.
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• W2125177176 title "Dynamic 18F-FDG MicroPET/CT Imaging for Comprehensive Characterization of Pre-treatment Tumor Biology" @default.
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