Impact of Predicting Anti-Angiogenic Response in mRCC Using Functional Imaging (REMISCAN)
Recruitment status was Recruiting
| Tracking Information | |||||
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| First Received Date ICMJE | February 11, 2009 | ||||
| Last Updated Date | February 11, 2009 | ||||
| Start Date ICMJE | September 2008 | ||||
| Estimated Primary Completion Date | September 2010 (final data collection date for primary outcome measure) | ||||
| Current Primary Outcome Measures ICMJE | Not Provided | ||||
| Original Primary Outcome Measures ICMJE | Not Provided | ||||
| Change History | No Changes Posted | ||||
| Current Secondary Outcome Measures ICMJE | Not Provided | ||||
| Original Secondary Outcome Measures ICMJE | Not Provided | ||||
| Current Other Outcome Measures ICMJE | Not Provided | ||||
| Original Other Outcome Measures ICMJE | Not Provided | ||||
| Descriptive Information | |||||
| Brief Title ICMJE | Impact of Predicting Anti-Angiogenic Response in mRCC Using Functional Imaging | ||||
| Official Title ICMJE | Medical and Economical Impact of Predicting the Response to Anti-Angiogenic Treatment in Metastatic Renal Cell Carcinoma Using Functional CT and MRI | ||||
| Brief Summary | The goal is to study the impact of functional MRI and CT evaluation of changes in tumor vessels induced by anti-angiogenic treatment in patients with metastatic RCC. The hypothesis is that good responders and poor responders will have different responses induced by anti-angiogenic treatment, and that the detection of theses changes by functional imaging can improve the therapeutic management. Functional CT and MRI will be performed in 200 patients before the beginning of antiangiogenic treatment, 7 days after and every 6 week until tumor progression (as defined by the RECIST criteria). Perfusion and diffusion parameters will be measured using a dedicated software. |
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| Detailed Description | The aim is to evaluate the capacity of functional CT and functional MRI to measure reliable biomarkers capable of evaluating the efficacy of anti-angiogenic treatment. Patient and methods - Patients 200 patients with metastatic RCC will be enrolled in the study. Patients will be recruited by an oncologist and the images will be acquired by a radiologist. Patients will be followed until tumor progression (as defined by RECIST) or during 2 years following inclusion if there is no progression. - Imaging data acquisition Morphological and functional imaging will be obtained before the beginning of the anti-angiogenic treatment, at 7±2 days and every 6 weeks until tumor progression. Progression is defined following the RECIST criteria.
Diffusion coefficient maps will be obtained using linear regression. The microvascular parametric maps yielding as tissue blood flow, tissue blood volume, mean transit time, permeability surface area product and tissue interstitial volume will be calculated for both the CT and MRI dynamic series using a proprietary software by means of compartmental modeling with an arterial input function (AIF). Mean parameters will be recorded for different regions of interest (ROI) in the tumors (whole tumor, periphery, center). Morphological CT images will be analyzed following the RECIST criteria. -Statistical analysis The functional parameters will be analyzed for inter-observer reproducibility. The correlation between parameters obtained using functional CT and functional MRI will tested. Patients will be classified as good responders and poor responders according to RECIST follow-up. The correlation between each baseline functional parameter and the RECIST response will be tested to evaluate the usefulness of the baseline parameters as predictors of response. The correlation between each parameter's changes under treatment as compared to the baseline value will be tested to evaluate the efficacy of each parameter to detect the response to the anti-angiogenic drug. The precocity of the detection of the response using the parameter variations will be also tested. Finally, the economical impact of the use of the microvascular parameters as biomarkers of treatment efficacy will be tested. |
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| Study Type ICMJE | Observational | ||||
| Study Design ICMJE | Observational Model: Cohort Time Perspective: Prospective |
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| Target Follow-Up Duration | Not Provided | ||||
| Biospecimen | Not Provided | ||||
| Sampling Method | Non-Probability Sample | ||||
| Study Population | oncologic hospital visit |
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| Condition ICMJE | Carcinoma, Renal Cell | ||||
| Intervention ICMJE | Not Provided | ||||
| Study Group/Cohort (s) | Not Provided | ||||
| Publications * | Not Provided | ||||
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* Includes publications given by the data provider as well as publications identified by ClinicalTrials.gov Identifier (NCT Number) in Medline. |
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| Recruitment Information | |||||
| Recruitment Status ICMJE | Recruiting | ||||
| Estimated Enrollment ICMJE | 200 | ||||
| Estimated Completion Date | August 2012 | ||||
| Estimated Primary Completion Date | September 2010 (final data collection date for primary outcome measure) | ||||
| Eligibility Criteria ICMJE | Inclusion Criteria:
Exclusion Criteria:
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| Gender | Both | ||||
| Ages | 18 Years to 85 Years | ||||
| Accepts Healthy Volunteers | No | ||||
| Contacts ICMJE |
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| Location Countries ICMJE | France | ||||
| Administrative Information | |||||
| NCT Number ICMJE | NCT00842790 | ||||
| Other Study ID Numbers ICMJE | P060407 | ||||
| Has Data Monitoring Committee | No | ||||
| Responsible Party | Magali Lafaye,, Department Clinical Research and Developpement | ||||
| Study Sponsor ICMJE | Assistance Publique - Hôpitaux de Paris | ||||
| Collaborators ICMJE | Not Provided | ||||
| Investigators ICMJE |
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| Information Provided By | Assistance Publique - Hôpitaux de Paris | ||||
| Verification Date | February 2009 | ||||
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ICMJE Data element required by the International Committee of Medical Journal Editors and the World Health Organization ICTRP |
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