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| ID | Type | Description | Link |
|---|---|---|---|
| comité éthique IJB n° 1377 |
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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.
statistical hypothesis : Sample size calculation for FDG-PET in metastatic patients.
In the paper of Cascini et al. [1], 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 [1].) 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 [1]: 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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| 1 | all study population |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| FDG-PET imaging | Procedure | FDG-PET imaging at D0 and D14 of first course of a new chemotherapy for advanced colorectal cancer |
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| Measure | Description | Time Frame |
|---|---|---|
| compare fdg-pet variations after 1 course of chemotherapy to chemotherapy outcome measured by time to disease progression | Time to Disease progression |
| Measure | Description | Time Frame |
|---|---|---|
| compare fdg-pet variations after 1 course of chemotherapy to chemotherapy outcome measured by tumour response rate following RECIST criteria. | response rate |
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Inclusion Criteria:
Exclusion Criteria:
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Patients >18 yrs old advanced evaluable colorectal cancer beginning a new line of chemotherapy
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| Name | Affiliation | Role |
|---|---|---|
| Alain - Hendlisz, MD | Institut Jules Bordet, Université Libre de Bruxelles, Brussels | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Institut Jules Bordet, Université Libre de Bruxelles | Brussels | 1190 | Belgium |
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| ID | Term |
|---|---|
| D015179 | Colorectal Neoplasms |
| ID | Term |
|---|---|
| D007414 | Intestinal Neoplasms |
| D005770 | Gastrointestinal Neoplasms |
| D004067 | Digestive System Neoplasms |
| D009371 | Neoplasms by Site |
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| D009369 | Neoplasms |
| D004066 | Digestive System Diseases |
| D005767 | Gastrointestinal Diseases |
| D003108 | Colonic Diseases |
| D007410 | Intestinal Diseases |
| D012002 | Rectal Diseases |