BACKGROUND: The aim of this prospective study was to evaluate the value of F-18-fluorodeoxyglucose-positron emission tomography (FDG-PET) for early assessment of chemotherapy response in patients with advanced colorectal cancer. METHODS: Dynamic FDG-PET was carried out before and at 2 (n = 50) and 6 months (n = 19) after the start of treatment. Quantitative Patlak analysis [metabolic rate of glucose (MRGlu)] and a simplified method to measure glucose metabolism [standardized uptake value (SUV)] were evaluated. The predictive value of changes in glucose metabolism was assessed with Cox proportional regression analysis. Overall survival (OS) and progression-free survival (PFS) were calculated using Kaplan-Meier estimates. RESULTS: There was an increase in the rates of death (P = 0.049 for DeltaMRGlu PET1-2; P = 0.017 for DeltaSUV PET1-2; P = 0.032 for DeltaMRGlu PET1-3; P = 0.048 for DeltaSUV PET1-3) and progression (P = 0.026 for DeltaMRGlu PET1-2; P = 0.035 for DeltaSUV PET1-2; P = 0.041 for DeltaMRGlu PET1-3; P = 0.081 for DeltaSUV PET1-3) associated with worse response as assessed by PET on Cox proportional regression analysis. The OS and PFS analysis showed a significant predictive value at broad ranges of DeltaMRGlu and DeltaSUV cut-off levels. CONCLUSION: The degree of chemotherapy-induced changes in tumor glucose metabolism is highly predictive for patient outcome. The use of FDG-PET for therapy monitoring seems clinically feasible since simplified methods (SUV) are sufficiently reliable.
BACKGROUND: The aim of this prospective study was to evaluate the value of F-18-fluorodeoxyglucose-positron emission tomography (FDG-PET) for early assessment of chemotherapy response in patients with advanced colorectal cancer. METHODS: Dynamic FDG-PET was carried out before and at 2 (n = 50) and 6 months (n = 19) after the start of treatment. Quantitative Patlak analysis [metabolic rate of glucose (MRGlu)] and a simplified method to measure glucose metabolism [standardized uptake value (SUV)] were evaluated. The predictive value of changes in glucose metabolism was assessed with Cox proportional regression analysis. Overall survival (OS) and progression-free survival (PFS) were calculated using Kaplan-Meier estimates. RESULTS: There was an increase in the rates of death (P = 0.049 for DeltaMRGlu PET1-2; P = 0.017 for DeltaSUV PET1-2; P = 0.032 for DeltaMRGlu PET1-3; P = 0.048 for DeltaSUV PET1-3) and progression (P = 0.026 for DeltaMRGlu PET1-2; P = 0.035 for DeltaSUV PET1-2; P = 0.041 for DeltaMRGlu PET1-3; P = 0.081 for DeltaSUV PET1-3) associated with worse response as assessed by PET on Cox proportional regression analysis. The OS and PFS analysis showed a significant predictive value at broad ranges of DeltaMRGlu and DeltaSUV cut-off levels. CONCLUSION: The degree of chemotherapy-induced changes in tumor glucose metabolism is highly predictive for patient outcome. The use of FDG-PET for therapy monitoring seems clinically feasible since simplified methods (SUV) are sufficiently reliable.
Authors: Bodil E Engelmann; Annika Loft; Andreas Kjær; Hans J Nielsen; Thomas A Gerds; Eric V Benzon; Nils Brünner; Ib J Christensen; Susanne H Hansson; Niels H Holländer; Michael H Kristensen; Johan Löfgren; Elena Markova; Carsten Sloth; Liselotte Højgaard Journal: Oncologist Date: 2014-01-22
Authors: Antoine Brouquet; Michael J Overman; Scott Kopetz; Dipen M Maru; Evelyne M Loyer; Andreas Andreou; Amanda Cooper; Steven A Curley; Christopher R Garrett; Eddie K Abdalla; Jean-Nicolas Vauthey Journal: Cancer Date: 2011-03-28 Impact factor: 6.860
Authors: Minsig Choi; Sri Lakshmi S Kollepara; Lance K Heilbrun; Daryn Smith; Anthony F Shields; Philip A Philip Journal: Clin Colorectal Cancer Date: 2014-10-23 Impact factor: 4.481
Authors: Willem Grootjans; Lioe-Fee de Geus-Oei; Antoi P W Meeuwis; Charlotte S van der Vos; Martin Gotthardt; Wim J G Oyen; Eric P Visser Journal: Eur Radiol Date: 2014-08-06 Impact factor: 5.315