PET Evaluation of Response After 1 Course of Chemotherapy as Predictor of Treatment Outcome. (earlyPETmCRC)
|ClinicalTrials.gov Identifier: NCT00741481|
Recruitment Status : Completed
First Posted : August 26, 2008
Last Update Posted : February 24, 2011
Study hypothesis : early decrease in fdg-pet measured SUV max after 1 cycle of chemotherapy can accurately predict response of chemotherapy as assessed by conventional radiology after 3 cycles of chemotherapy.
FDG-PET imaging will be done at J0 and J14 of a new line of chemotherapy treatment in metastatic colorectal cancer.
SUV max will be recorded and delta SUVmax will be compared to the results of conventional radiological evaluation after 3 courses of chemotherapy. Results will also be compared to the time to disease progression.
|Condition or disease||Intervention/treatment|
|Colorectal Cancer Metastatic Early Response Evaluation Fdg-PET||Procedure: FDG-PET imaging|
statistical hypothesis : Sample size calculation for FDG-PET in metastatic patients.
In the paper of Cascini et al. , they have 18 patients with a TRG response (TRG = Tumor Regression Grade) and 15 patients with no response.
SUV mean was measured at baseline and at day 12 in all 33 patients. All 33 patients showed a reduction in SUV-mean from baseline to day 12. The median reduction in SUV-mean was 63% (mean 66%) in responding tumors and 22% (mean 22%) for non responding tumors. Using a cutoff level of 52% a perfect accuracy could be obtained, i.e. all responding tumors had a SUV-mean reduction higher than 52% and all non responding tumors had a SUV-mean reduction lower than 52%.
(Standard deviation of the SUV-mean reduction was 25.) All 33 patients showed also a reduction in SUV-max from baseline to day 12. The median reduction in SUV-max was 62% in responding tumors and 28% in non responding tumors. (No information about mean or standard deviation of SUV-max available in .) Based on the data of SUV-mean we can do a power calculation based on the Wilcoxon test: In order to demonstrate an absolute difference in the mean of ΔSUV-mean of 44% between responding and non responding patients, with an estimated standard deviation of 25, using 35 patients (50% response, 50% no response), at a significance level of 5%, we obtain a power of 0.98.
For SUV-max, if we assume that the difference in the means is similar to the difference in the medians, i.e. 34% and the standard deviation is similar to the one of SUV-mean, i.e. 25, we obtain a power of 0.93 If we, to be safe, are a little bit less optimistic and estimate that the difference in the mean of ΔSUV-max between responding and non responding tumors would be a little lower than in : 35%, and the standard deviation a little bit higher: 30, then we need 40 patients at a power of 0.90
Référence 1 : Cascini GL, Avallone A, Delrio P, Guida C, Tatangelo F, Marone P et al.: F-18-FDG PET is an early predictor of pathologic tumor response to preoperative radiochemotherapy in locally advanced rectal cancer. Journal of Nuclear Medicine 2006, 47: 1241-1248.
|Study Type :||Observational|
|Estimated Enrollment :||40 participants|
|Official Title:||Evaluation of Prognostic and Predictive Value of PETSCAn in ColoRectal Cancer (CRC)|
|Study Start Date :||June 2006|
|Primary Completion Date :||July 2010|
|Study Completion Date :||July 2010|
all study population
Procedure: FDG-PET imaging
FDG-PET imaging at D0 and D14 of first course of a new chemotherapy for advanced colorectal cancer
Other Name: PET-CT SCan
- compare fdg-pet variations after 1 course of chemotherapy to chemotherapy outcome measured by time to disease progression [ Time Frame: Time to Disease progression ]
- compare fdg-pet variations after 1 course of chemotherapy to chemotherapy outcome measured by tumour response rate following RECIST criteria. [ Time Frame: response rate ]
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT00741481
|Institut Jules Bordet, Université Libre de Bruxelles|
|Brussels, Belgium, 1190|
|Principal Investigator:||Alain - Hendlisz, MD||Institut Jules Bordet, Université Libre de Bruxelles, Brussels|