FDG PET to Assess Therapeutic Response in Patients with Bone-dominant Metastatic Breast Cancer, FEATURE
Categories (click each to see list of all clinical trials associated with that category): Breast (ONC)
Current Status: Open
Phase: II (Cancer Control)
Principal Investigator: Krishnamurthy, Jairam
Eligibility: https://clinicaltrials.gov/study/NCT04316117?term=%09NCT04316117&rank=1
Summary
PRIMARY OBJECTIVE:
I. Evaluate the performance of fludeoxyglucose F-18 (FDG)-positron emission tomography (PET)/computed tomography (CT) response criteria (modified PET Response Criteria in Solid Tumors [PERCIST] complete, partial and stable metabolic disease versus progressive metabolic disease) as a binary predictor of progression-free survival (PFS) in patients with bone-dominant (BD) metastatic breast cancer (MBC) treated with systemic therapy.
SECONDARY OBJECTIVES:
I. Evaluate the ability of FDG-PET/CT modified PERCIST criteria (complete versus [vs] partial vs stable vs metabolic progression) to independently predict PFS in patients with BD MBC.
II. Evaluate the ability of FDG-PET/CT modified PERCIST criteria (complete, partial, and stable versus progressive metabolic disease) to predict time to skeletal related events (SRE) and overall survival (OS) in patients with BD MBC.
III. Evaluate the ability of FDG-PET/CT metrics (percent change in peak standardized uptake value corrected for lean body mass (SULpeak), maximum standardized uptake value corrected for body weight (SUVmax) as continuous variables in index or up to 5 lesions) to predict PFS, time to SRE and OS in patients with BD MBC.
IV. Assess the utility of FDG-PET/CT to identify disease progression by identification of new lesions not identified by standard CT and bone scan.
EXPLORATORY OBJECTIVES:
I. Define criteria for selection of FDG-avid bone lesions for analysis based on thresholds for SULpeak or SUVmax.
II. In collaboration with National Cancer Institute (NCI) Quantitative Imaging Network (QIN), explore alternative methods for measuring metabolic response with FDG-PET/CT (e.g., total lesion glycolysis, quantitative total bone imaging, MD Anderson bone criteria, and radiomics) to predict clinical endpoints in patients with BD MBC.
III. Evaluate automated image analysis of FDG-PET/CT by AutoPERCIST.