PET Evaluation of Response After 1 Course of Chemotherapy as Predictor of Treatment Outcome. (earlyPETmCRC)

February 23, 2011 updated by: Jules Bordet Institute

Evaluation of Prognostic and Predictive Value of PETSCAn in ColoRectal Cancer (CRC)

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.

Study Overview

Detailed Description

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.

Study Type

Observational

Enrollment (Anticipated)

40

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Brussels, Belgium, 1190
        • Institut Jules Bordet, Université Libre de Bruxelles

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Patients >18 yrs old advanced evaluable colorectal cancer beginning a new line of chemotherapy

Description

Inclusion Criteria:

  • advanced colorectal cancer
  • evaluable disease
  • signed informed consent

Exclusion Criteria:

  • no other cancer
  • no other life-threatening condition
  • unwillingness or inability to sign informed consent
  • active cerebral metastasis

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
1
all study population
FDG-PET imaging at D0 and D14 of first course of a new chemotherapy for advanced colorectal cancer
Other Names:
  • PET-CT SCan

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Time Frame
compare fdg-pet variations after 1 course of chemotherapy to chemotherapy outcome measured by time to disease progression
Time Frame: Time to Disease progression
Time to Disease progression

Secondary Outcome Measures

Outcome Measure
Time Frame
compare fdg-pet variations after 1 course of chemotherapy to chemotherapy outcome measured by tumour response rate following RECIST criteria.
Time Frame: response rate
response rate

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Alain - Hendlisz, MD, Institut Jules Bordet, Université Libre de Bruxelles, Brussels

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start

June 1, 2006

Primary Completion (Actual)

July 1, 2010

Study Completion (Actual)

July 1, 2010

Study Registration Dates

First Submitted

August 25, 2008

First Submitted That Met QC Criteria

August 25, 2008

First Posted (Estimate)

August 26, 2008

Study Record Updates

Last Update Posted (Estimate)

February 24, 2011

Last Update Submitted That Met QC Criteria

February 23, 2011

Last Verified

February 1, 2011

More Information

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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