Imageguided Theranostics in Multiple Myeloma (iTIMM)
Theranostics is the use of a diagnostic test to decide which patients will benefit from a certain treatment.
The current standard treatment for patients with myeloma is induction chemotherapy followed by peripheral stem cell transplant. Although there are options for timing of treatments, patient outcomes are variable and the investigators do not currently know which patients benefit from which treatment schedule. There is evidence to suggest that residual disease on imaging after treatment is an indicator for a worse prognosis, however the best time point for this imaging is currently not known. This study is designed to show if there is an optimum time point for correlation between imaging and prognosis.
Several studies have indicated that MRI is better at detecting disease than FDG PET/CT and the investigators will confirm this when patients are first diagnosed, by performing both FDG PET/CT and whole body diffusion weighted MRI.
Patients will then be followed up with whole body diffusion weighted MRI after induction chemotherapy and 3 months post autograft. The investigators will look at the amount of disease present on these scans and correlate this with outcomes.
There are likely to be other factors which influence patient outcomes (such as genetics) and the investigators will also look at some of these. Patients who undergo autograft have regular blood tests and marrow samples taken as part of routine care, the investigators will use some of these samples (without compromising the patients treatment) to analyses some of these other factors. If the investigators are able to determine a correlation of genetic factors with outcome this information could be used in future research.
Theranostics is the use of a diagnostic test to decide which patients will benefit from a certain treatment.
The current standard treatment for patients with myeloma is induction chemotherapy followed by peripheral stem cell transplant. Although there are options for timing of treatments, patient outcomes are variable and the investigators do not currently know which patients benefit from which treatment schedule. There is evidence to suggest that residual disease on imaging after treatment is an indicator for a worse prognosis, however the best time point for this imaging is currently not known. This study is designed to show if there is an optimum time point for correlation between imaging and prognosis.
Several studies have indicated that MRI is better at detecting disease than FDG PET/CT and the investigators will confirm this when patients are first diagnosed, by performing both FDG PET/CT and whole body diffusion weighted MRI.
Patients will then be followed up with whole body diffusion weighted MRI after induction chemotherapy and 3 months post autograft. The investigators will look at the amount of disease present on these scans and correlate this with outcomes.
There are likely to be other factors which influence patient outcomes (such as genetics) and the investigators will also look at some of these. Patients who undergo autograft have regular blood tests and marrow samples taken as part of routine care, the investigators will use some of these samples (without compromising the patients treatment) to analyses some of these other factors. If the investigators are able to determine a correlation of genetic factors with outcome this information could be used in future research.
Study Overview
Status
Status
Study Type
Study Type
Enrollment (Actual)
Enrollment
Contacts and Locations
Study Locations
-
-
Surrey
-
Sutton, Surrey, United Kingdom, SM2 5PT
- The Royal Marsden NHS Foundation Trust
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- All patients over the age of 18 with multiple myeloma planned for autograft.
Exclusion Criteria:
- MRI incompatible metal implants
- Claustrophobia
- Diagnosis of other malignancy within 5 years.
Study Plan
How is the study designed?
Design Details
- Observational Models: Cohort
- Time Perspectives: Prospective
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
|
Construct a ROC curve and calculate area under the curve (AUC) to show that the burden of disease at 3 months post autograft (WB-DWI score) is predictive of disease status at 2 years.
Time Frame: 2 years post autograph
|
2 years post autograph
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
|
Use multivariate/univariate analysis to identify the best single or combination MRI parameter(s) to predict disease status at 2 years
Time Frame: 2 years post autograph
|
2 years post autograph
|
|
Identify optimal cut-off point with best sensitivity and specificity to predict disease status at 2 years.
Time Frame: 2 years post autograph
|
2 years post autograph
|
|
Calculate PFS for patients grouped by optimal cut-off.
Time Frame: 2 years post autograph
|
2 years post autograph
|
|
Overall survival (OS) in patients with residual disease on WB-DWI post induction and 3 months post autograft.
Time Frame: 2 years post autograph
|
2 years post autograph
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Christina Messiou, Dr, Royal Marsden NHS Foundation Trust
Publications and helpful links
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Estimate)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
- Cardiovascular Diseases
- Vascular Diseases
- Immune System Diseases
- Neoplasms by Histologic Type
- Neoplasms
- Lymphoproliferative Disorders
- Immunoproliferative Disorders
- Hematologic Diseases
- Hemorrhagic Disorders
- Hemostatic Disorders
- Paraproteinemias
- Blood Protein Disorders
- Multiple Myeloma
- Neoplasms, Plasma Cell
Other Study ID Numbers
Other Study ID Numbers
- 15/LO/0036 CCR4236
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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