A Phase I Dose-Finding Design Incorporating Intra-Patient Dose Escalation
1Department of Experimental Statistics, Louisiana State University, Baton Rouge, Louisiana, USA.
Pharmaceutical Statistics
|December 26, 2024
Summary
This study introduces the intra-patient dose escalation continual reassessment method (IP-CRM) for Phase I trials. The IP-CRM design efficiently identifies the maximum tolerated dose (MTD) with a smaller sample size, improving upon traditional methods.
Area of Science:
- Clinical Trials Methodology
- Biostatistics
- Pharmacometrics
Background:
- Conventional Phase I trials require large patient cohorts to determine the maximum tolerated dose (MTD).
- Recruiting sufficient patients for dose-finding studies is challenging in pediatric or rare cancer trials.
- Existing designs may not efficiently utilize patient data for MTD determination.
Purpose of the Study:
- To propose a novel Phase I dose-finding design, IP-CRM, integrating intra-patient dose escalation with the continual reassessment method (CRM).
- To enhance the efficiency and accuracy of MTD identification in Phase I clinical trials.
- To address limitations of traditional designs in patient recruitment and data utilization.
Main Methods:
- The proposed IP-CRM design allows intra-patient dose escalation based on individual toxicity and cumulative data.
- Adaptive updating of starting doses for patient cohorts.
- Extension of IP-CRM to account for carryover effects and intra-patient correlations.
Main Results:
- The IP-CRM design significantly reduces sample size requirements compared to standard Phase I designs.
- Simulation studies demonstrate improved efficiency in identifying the MTD.
- IP-CRM shows enhanced probability of correctly identifying the MTD versus standard CRM and 3+3 designs.
Conclusions:
- The IP-CRM design offers a more efficient approach to Phase I dose-finding studies.
- This novel design is particularly beneficial for trials with limited patient populations.
- IP-CRM improves MTD identification accuracy and sample size efficiency in early-phase oncology trials.
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