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Recent advances in clinical trial design considerations in Thera"nostics"
1Office of Biostatistics, Office of Translational Sciences, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, USA.
This study proposes a new development pathway for diagnostic imaging drugs in theranostics. It outlines statistical metrics and benefits for rigorous development, enhancing patient selection and clinical utility.
Area of Science:
- Pharmacology
- Radiology
- Clinical Trials
Background:
- Theranostics combines therapeutic and diagnostic drugs, with diagnostics aiding patient selection for investigational therapeutics.
- The patient selection performance of investigational diagnostic imaging drugs is often not rigorously assessed.
- Current clinical trials may prioritize therapeutic development over validating diagnostic imaging drug performance.
Purpose of the Study:
- To propose an "In-Parallel with Leveraging" development pathway for diagnostic imaging drugs in theranostics.
- To define minimum statistical metrics for rigorous diagnostic imaging drug development and patient selection.
- To explore broader clinical utilities of diagnostic imaging beyond patient selection.
Main Methods:
- Development of a novel "In-Parallel with Leveraging" pathway for diagnostic imaging drugs.
- Rationalization of essential statistical metrics for patient selection performance assessment.
- Identification of potential clinical indications and utilities for diagnostic imaging.
Main Results:
- The proposed pathway enables rigorous development of diagnostic imaging drugs alongside therapeutics.
- Minimum statistical metrics are identified to ensure robust patient selection validation.
- Broader applications including prognostic, predictive, risk stratification, and treatment monitoring are highlighted.
Conclusions:
- The proposed pathway enhances the development of diagnostic imaging drugs within theranostics.
- Leveraging group sequential or adaptive designs in therapeutic trials is encouraged for optimal benefit.
- This approach supports comprehensive clinical utility and improved patient management.
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