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

Overview

About this study

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.

Participation eligibility

Participant eligibility includes age, gender, type and stage of disease, and previous treatments or health concerns. Guidelines differ from study to study, and identify who can or cannot participate. There is no guarantee that every individual who qualifies and wants to participate in a trial will be enrolled. Contact the study team to discuss study eligibility and potential participation.

Inclusion Criteria:

- Age ≥ 18 years at time of registration

- Receiving curative intent intensity modulated radiotherapy for head and neck primary cancer at the discretion of the treating medical doctor (MD)

- Provide written informed consent or allow legally authorized representative to consent on behalf of a participant

- Willing to return to enrolling institution for study follow-up visit

Exclusion Criteria:

- Incarcerated

- Unable to provide informed consent

- Prior Head and Neck (H&N) radiation therapy

- Planned radiation dosing LK<30 Gy or >76 Gy

Eligibility last updated 8/8/23. Questions regarding updates should be directed to the study team contact.

Participating Mayo Clinic locations

Study statuses change often. Please contact the study team for the most up-to-date information regarding possible participation.

Mayo Clinic Location	Status	Contact
La Crosse, Wis. Mayo Clinic principal investigator Abigail Stockham, M.D.	Closed-enrolling by invitation What is this? (?) "Close" Not open to everyone who meets the eligibility criteria, but only those invited to participate by the study team.	Contact information: Cancer Center Clinical Trials Referral Office (855) 776-0015
Mankato, Minn. Mayo Clinic principal investigator Ron Smith, M.D.	Closed-enrolling by invitation What is this? (?) "Close" Not open to everyone who meets the eligibility criteria, but only those invited to participate by the study team.	Contact information: Cancer Center Clinical Trials Referral Office (855) 776-0015
Rochester, Minn. Mayo Clinic principal investigator Daniel Ma, M.D.	Closed-enrolling by invitation What is this? (?) "Close" Not open to everyone who meets the eligibility criteria, but only those invited to participate by the study team.	Contact information: Cancer Center Clinical Trials Referral Office (855) 776-0015
Scottsdale/Phoenix, Ariz. Mayo Clinic principal investigator Samir Patel, M.D.	Closed-enrolling by invitation What is this? (?) "Close" Not open to everyone who meets the eligibility criteria, but only those invited to participate by the study team.	Contact information: Cancer Center Clinical Trials Referral Office (855) 776-0015
Eau Claire, Wis. Mayo Clinic principal investigator Zachary Wilson, M.D.	Closed-enrolling by invitation What is this? (?) "Close" Not open to everyone who meets the eligibility criteria, but only those invited to participate by the study team.	Contact information: Cancer Center Clinical Trials Referral Office (855) 776-0015
Jacksonville, Fla. Mayo Clinic principal investigator Byron May, M.D.	Closed-enrolling by invitation What is this? (?) "Close" Not open to everyone who meets the eligibility criteria, but only those invited to participate by the study team.	Contact information: Cancer Center Clinical Trials Referral Office (855) 776-0015
Albert Lea, Minn. Mayo Clinic principal investigator Timothy Kozelsky, M.D.	Closed-enrolling by invitation What is this? (?) "Close" Not open to everyone who meets the eligibility criteria, but only those invited to participate by the study team.	Contact information: Cancer Center Clinical Trials Referral Office (855) 776-0015

Mayo Clinic Location

Cancer Center Clinical Trials Referral Office

(855) 776-0015

More information

Publications

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