LEARN: Learning Environment for Artificial Intelligence in Radiotherapy New Technology
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- This is an observational study: the protocol does not assign a study treatment.
- Who it may be relevant to
- Registry conditions: Arrhythmias, Cardiac, Breast Cancer, Prostatic Cancer, Brain Cancer. Basic parameters: from 18 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- Australia
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
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Overview
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'.
Primary outcome measures
- Accuracy of markerless tracking [Time frame: 3 years]
Secondary outcome measures (1)
- Clinical acceptability of markerless tracking system [Time frame: 3 years]
Eligibility criteria
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
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: No
Study design
- Observational model
- Cohort
Study locations
Australia · 4 centers
- Royal North Shore Hospital — Saint Leonards
- Princess Alexandra Hospital — Woolloongabba
- Alfred Health — Melbourne
- Peter MacCallum Cancer Centre — Melbourne
Identifiers
NCT: NCT05184790 · IX-2021-DS-LEARN