Dartmouth-Hitchcock Medical Center
Lebanon, New Hampshire, 03756, United States
NCT Number: NCT04441775
This project's goal is to develop and test an application that uses Artificial Intelligence (AI) to improve consistency and quality of Radiation Treatment (RT) plans for prostate cancer. By understanding expert planner preferences in structure contouring and treatment planning, and combining this framework with planning data and outcomes amassed in NRG clinical trials, AI models may be trained to produce contours and treatment plans that are indistinguishable or even potentially deemed superior to those produced by individual experts.
At the conclusion of this contract, the awardees will provide a software product which, when given the input of a description of desired anatomical target volumes and target doses along with a patient's CT scans, will generate target volumes and radiation treatment plans based upon a "gold standard" amalgamated from the input of multiple experts, thereby achieving desired doses to target volumes while meeting or exceeding the dose-volume constraints imposed by adjacent normal tissues.
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Notify Me21 year–90 year
Male
Observational
Lebanon, New Hampshire, 03756, United States
PHASE 1
PHASE 2
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Artificial Intelligence assisted Radiation Treatment
Time frame: Baseline measure (Phase 1): June 2021. Repeat assessments every 6 months (Phase 2): June 2021 - June 2023.
Validate the AI technology by inputting images and targets from historic case data and then assessing whether the AI-generated plans are comparable or even improved when measured against plans created by expert clinicians for the same patient data. To accomplish this, methodology will employ "modified Turing tests," as previously developed in NRG-RTOG studies exploring AI applications in other venues, whereby blinded experts evaluate alternative plans, score them on a variety of criteria, and more generally assess whether these were generated via machine learning or via human intelligence.
These quantified comparisons will be performed several times. The first will be at the end of Phase I (spring of 2021). Phase II will introduce further data and plans. Repeat comparisons of AI- versus human-performance will be performed every six months during Phase II. Final comparisons and overall trend analysis will be reported at conclusion of Phase II in 2023.
Dartmouth-Hitchcock Medical Center
Other
Protocol for the Development of a Machine Learning Model for Prostate Cancer Treatment Planning
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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