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NCT04441775 · ClinicalTrials.gov registry record

Artificial Intelligence for Prostate Cancer Treatment Planning

A clinical trial, sponsored by Dartmouth-Hitchcock Medical Center.

Completed
Registry status
5
Enrollment target

NCT04441775: Completed study, sponsored by Dartmouth-Hitchcock Medical Center.

NCT04441775 is a clinical trial that has completed, run by Dartmouth-Hitchcock Medical Center. The registered enrollment target is 5 participants. According to ClinicalTrials.gov, the official US trial registry.

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The verdict

NCT04441775 has completed, sponsored by Dartmouth-Hitchcock Medical Center.

COMPLETED
Registry status
5 participants
Enrollment target

Study Summary

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.

Primary Outcome

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 mo

Interventions

  • OTHER AI-assisted RT modelling

Trial Details

FieldValue
Enrollment Target 5 participants
Start Date 2020-06-22
Est. Completion 2022-03-04
Dartmouth-Hitchcock Medical Center

427 total trials

What the finished NCT04441775 record still lists

NCT04441775 is an observational study that tracks outcomes without assigning an intervention. The registry caps enrollment at 5 participants, a relatively small participant target.

The record links to 0 conditions, and to 1 intervention - of which AI-assisted RT modelling is the first listed.

NCT04441775 does not publish any study locations in the registry export this page uses.

Frequently Asked Questions

What is clinical trial NCT04441775 about?

NCT04441775 is a clinical study titled "Artificial Intelligence for Prostate Cancer Treatment Planning". 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 fr...

What is the current status of trial NCT04441775?

This trial is currently completed. The enrollment target is 5 participants. The study started on 2020-06-22. Estimated completion is 2022-03-04.

What interventions are being tested in trial NCT04441775?

The interventions under investigation include: AI-assisted RT modelling (OTHER).

Who is sponsoring clinical trial NCT04441775?

This trial is sponsored by Dartmouth-Hitchcock Medical Center, which has 427 total clinical trials registered on ClinicalTrials.gov.

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Source: ClinicalTrials.gov NCT04441775, the US trial registry maintained by the National Library of Medicine. NCT04441775 (small enrollment · none site footprint · completed) retrieved and formatted by PlainTrial, see methodology.