Adaptive design for identifying maximum tolerated dose early to accelerate dose-finding trial

Purpose The early identification of maximum tolerated dose (MTD) in phase I trial leads to faster progression to a phase II trial or an expansion cohort to confirm efficacy. Methods We propose a novel adaptive design for identifying MTD early to accelerate dose-finding trials. The early identification of MTD is determined adaptively by dose-retainment probability using a trial data via Bayesian analysis. We applied the early identification design to an actual trial. A simulation study evaluates the performance of the early identification design. Results In the actual study, we confirmed the MTD could be early identified and the study period was shortened. In the simulation study, the percentage of the correct MTD selection in the early identification Keyboard and early identification Bayesian optimal interval (BOIN) designs was almost same from the non-early identification version. The early identification Keyboard and BOIN designs reduced the study duration by about 50% from the model-assisted designs. In addition, the early identification Keyboard and BOIN designs reduced the study duration by about 20% from time-to-event model-assisted designs. Conclusion We proposed the early identification of MTD maintaining the accuracy to be able to short the study period.

Automated summary

This study proposes an adaptive design for early identification of maximum tolerated dose (MTD) in order to accelerate dose-finding trials. The identification of MTD is determined adaptively using Bayesian analysis, leading to a shortened study period.