Evaluation of a Novel Auto Segmentation Algorithm for Normal Structure Delineation in Radiation Treatment Planning

Mayo Clinic

Status: Enrolling

Conditions: Hematopoietic and Lymphatic System Neoplasm; Malignant Solid Neoplasm

Treatments: Other: Non-Interventional Study

Study type: Observational

Funder types: Other

Identifiers

NCT06200116

NCI-2023-10652 (Registry Identifier)

ROR2272 (Other Identifier)

22-004438 (Other Identifier)

Details and patient eligibility

About

This study measures the utility of a novel artificial intelligence (AI) algorithm for performing auto-segmentation of computed tomography (CT) scans for radiation therapy planning.

Full description

PRIMARY OBJECTIVE:

I. To measure the observed utility of an AI algorithm for normal segmentation by recording study subjects' observations of its function.

OUTLINE: This is an observational study.

Participants complete surveys about the performance/functionality of the auto-segmentation algorithm on study.

Enrollment: 200 estimated patients

Sex: All

Volunteers: Accepts Healthy Volunteers

Inclusion criteria

• Employment at Mayo Clinic Arizona, Florida, or Rochester (which includes Regional Practice sites located at Mayo Clinic Health System locations) as train clinical staff that participate in normal tissue segmentation

Exclusion criteria

• Inability to complete study surveys

Trial design

200 participants in 1 patient group

Observational

Description:

Participants complete surveys about the performance/functionality of the auto-segmentation algorithm on study.

Treatment:

Other: Non-Interventional Study