Massachusetts General Hospital
Boston, Massachusetts, 02115, United States
NCT Number: NCT04687969
This research study wants to develop advanced imaging methods to more accurately characterize prostate cancer or solid tumor aggressiveness.
This observational study involves [18F]DCFPyL positron emission tomography and magnetic resonance imaging (PET/MRI)
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Notify Me18 year and older
All sexes
Observational
Boston, Massachusetts, 02115, United States
This is an observational imaging study to evaluate the value of multimodal [18F]DCFPyL positron emission tomography and magnetic resonance imaging (PET/MRI) for solid tumor characterization and disease staging.
This research study involves:
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
--- Because no dosing or adverse event data are currently available on the use of [18F]DCFPyL in participants <18 years of age, children are excluded from this study, but will be eligible for future pediatric trials.
Exclusion criteria
will either be administered by intravenous injection by bolus by a qualified nuclear medicine technician at the Martinos Center, or will be administered as part of a clinical PET/CT examination
Other names: positron emission tomography dye
PET/MRI Scan with [18F]DCFPyL as directed by protocol
Other names: magnetic resonance imaging
Time frame: 3 Days
First tumor aggressiveness will be identified by binarizing the Gleason grade scores (GG ≥ 3+4). Binarized tumor aggressiveness obtained from the machine learning techniques will be then compared to the gold-standard, histopathology.
Time frame: 6 months
Repeated measures analysis of covariance (ANCOVA) to evaluate statistical significance using a multilevel analysis to accommodate the nested structure of the data (longitudinal correlated data). Wilcoxon signed rank test will be used to assess for differences in each imaging parameter across visits. Spearman rank correlation will be used to test the correlation between [18F]-DCFPyL binding as measured by standardized uptake values (SUV) and Ktrans or SUV and cerebral blood flow (CBF). The false discovery rate will be used to adjust for multiple testing.
Ciprian Catana, MD, PhD
Other
Multimodal PET/MRI Machine Learning Approaches for Characterization of Solid Tumors
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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