Randomized Evaluation of Machine Learning Assisted Radiation Treatment Planning vs Standard Radiation Treatment Planning

Cancer Head Neck Clinical Trial

Official title: A Randomized Evaluation of Machine Learning Assisted Radiation Treatment Planning Versus Standard Radiation Treatment Planning

Status Recruiting

Clinical Trial Summary

The purpose of this study is to determine the magnitude of clinical benefit achieved through machine learning assisted radiation treatment planning (MLAP) on post-treatment clinical outcomes such as acute toxicity and patient reported outcomes.

Clinical Trial Description

This is a randomized phase III trial to evaluate the effectiveness of MLAP compared to Standard of Care. Patients will undergo a randomization procedure with a variable allocation ratio where the first third of patients are randomized 3:1 in favor of SOC, the next third randomized 1:1, and the last third randomized 1:3 in favor of MLAP. This is done to give dosimetrists time to optimize the MLAP workflow. Since the treatment team may learn to improve their treatment planning process in the SOC arm through interactions with RapidPlan, as a sensitivity analysis, the primary and secondary goals will be re-analyzed including time of registration as a moderator of the treatment effect. ;

Related Conditions & MeSH terms

• Cancer Head Neck
• Cancer Neck
• Head and Neck Neoplasms

• NCT number: NCT05979883
• Study type: Interventional
• Source: Mayo Clinic
• Contact: Clinical Trials Referral Office
• Phone: 855-77 6-0015
• Email: mayocliniccancerstudies@mayo.edu
• Status: Recruiting
• Phase: N/A
• Start date: August 7, 2023
• Completion date: December 2026