Imageguided Theranostics in Multiple Myeloma
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 61
- 试验地点
- 1
- 主要终点
- 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.
研究概览
简要总结
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.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •All patients over the age of 18 with multiple myeloma planned for autograft.
排除标准
- •MRI incompatible metal implants
- •Claustrophobia
- •Diagnosis of other malignancy within 5 years.
结局指标
主要结局
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.
时间窗: 2 years post autograph
次要结局
- Use multivariate/univariate analysis to identify the best single or combination MRI parameter(s) to predict disease status at 2 years(2 years post autograph)
- Calculate PFS for patients grouped by optimal cut-off.(2 years post autograph)
- Overall survival (OS) in patients with residual disease on WB-DWI post induction and 3 months post autograft.(2 years post autograph)
- Identify optimal cut-off point with best sensitivity and specificity to predict disease status at 2 years.(2 years post autograph)
研究者
Nandita deSouza
Professor of Translational Imaging
Institute of Cancer Research, United Kingdom