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LEARN: Learning Environment for Artificial Intelligence in Radiotherapy New Technology

LEARN: Learning Environment for Artificial Intelligence in Radiotherapy New Technology

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT05184790
Acronym
LEARN
Enrollment
300
Registered
2022-01-11
Start date
2023-02-28
Completion date
2028-01-31
Last updated
2026-05-19

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Arrhythmias, Cardiac, Brain Cancer, Breast Cancer, Head and Neck Cancer, Kidney Cancer, Liver Cancer, Pancreatic Cancer, Prostatic Cancer, Spinal Neoplasm

Keywords

Radiation Therapy, markerless tracking

Brief summary

This study will develop a whole-of-body markerless tracking method for measuring the motion of the tumour and surrounding organs during radiation therapy to enable real-time image guidance. Routinely acquired patient data will be used to improve the training, testing and accuracy of a whole-of-body markerless tracking method. When the markerless tracking method is sufficiently advanced, according to the PI of each of the data collection sites, the markerless tracking method will be run in parallel to, but not intervening with, patient treatments during data acquisition.

Detailed description

This observational study will access routinely acquired radiation therapy treatment data from 300 patients including brain, breast, head and neck, kidney, liver, pancreas, prostate, spine and cardiac anatomic sites. At least 30 patients will be recruited from each anatomic site to enable sufficient data for the markerless tracking method training, testing and validation. The clinical data will be used to develop, train, test and validate a markerless target tracking method. After the treatment, the ground truth and the variability in the ground truth will be computed. The patient images, the markerless tracking results, the ground truth and the variability will be uploaded to an in-house developed clinical trial learning system. Uploading additional data to the learning system automatically triggers the model building of the deep learning system. In this manner, the learning system gets both more accurate and more robust with each patient accrued. As the patient data accrues, the primary hypothesis of targeting accuracy can be tested. The developed markerless tracking software will be applied by study personnel to the treatment imaging data for each anatomic site using five-fold cross-validation where 80% of the data is used for training and the remaining unseen 20% of the data is used for testing. Target positions produced by the markerless tracking will be compared with a 'ground truth'.

Interventions

None listed

Sponsors

University of Sydney
Lead SponsorOTHER
Princess Alexandra Hospital, Brisbane, Australia
CollaboratorOTHER
Calvary Mater Newcastle, Australia
CollaboratorOTHER
Western Sydney Local Health District
CollaboratorOTHER
Austin Health
CollaboratorOTHER_GOV
Peter MacCallum Cancer Centre, Australia
CollaboratorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Will receive radiation therapy for brain, breast, head and neck, kidney, liver, pancreas, prostate, spine cancer treatment or cardiac arrhythmia treatment at a participating centre. * Will receive CT planning, and a cone beam CT scan for at least one fraction of radiation therapy. * Will receive intrafraction x-ray imaging for the liver, pancreas, prostate, spine cancer treatment or cardiac arrhythmia treatment. As intrafraction imaging is not common standard of care for brain, breast, head and neck and kidney cancer treatments there is no requirement to have intrafraction x-ray imaging data for these anatomical sites. * Provides written informed consent.

Exclusion criteria

* Less than 18 years of age

Design outcomes

Primary

MeasureTime frameDescription
Accuracy of markerless tracking3 yearsProportion of markerless tracking within 5 mm of the ground truth for each of nine anatomical sites (cohorts)

Secondary

MeasureTime frameDescription
Clinical acceptability of markerless tracking system3 yearsProportion of radiation therapists considering the markerless tracking system acceptable using a survey

Countries

Australia

Contacts

CONTACTShona Silvester
shona.silvester@sydney.edu.au+61 2 8627 1185
STUDY_CHAIRPaul Keall

Professor

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: May 20, 2026