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Artificial Intelligence for Prostate Cancer Treatment Planning

NCT04441775 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 5

Last updated 2023-10-13

No results posted yet for this 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.

Conditions

Interventions

OTHER

AI-assisted RT modelling

Artificial Intelligence assisted Radiation Treatment

Sponsors & Collaborators

  • Oregon Health and Science University

    collaborator OTHER

  • University of Massachusetts, Worcester

    collaborator OTHER

  • National Cancer Institute (NCI)

    collaborator NIH

  • NRG Oncology

    collaborator OTHER

  • Nicolalde R&D

    collaborator UNKNOWN

  • Dartmouth-Hitchcock Medical Center

    lead OTHER

Principal Investigators

  • Alan C. Hartford, MD PhD FACR · Dartmouth-Hitchcock Medical Center

Eligibility

Min Age
21 Years
Max Age
90 Years
Sex
MALE
Healthy Volunteers
No

Timeline & Regulatory

Start
2020-06-22
Primary Completion
2021-11-30
Completion
2022-03-04

Countries

  • United States

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04441775 on ClinicalTrials.gov