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| Name | Class |
|---|---|
| University of Sydney | OTHER |
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In radiotherapy, tumour tracking allows us to ensure the radiation beam is accurately targeting the tumour while it moves in a complex and unpredictable way. Most tumour tracking techniques require the implantation of fiducial markers around the tumour. Markerless Tumour Tracking negates the need for implanted markers, enabling accurate and optimal cancer radiotherapy in a non-invasive way.
We will perform a phase I observational trial investigating the feasibility of the Markerless Tumour Tracking technology. Markerless Tumour Tracking will be integrated with existing treatment machines to provide real-time monitoring of tumour motion during treatment delivery. Eligible patients are implanted with fiducial markers, which act as the ground truth for evaluating the accuracy of Markerless Tumour Tracking. The patients will undergo the current standard of care radiotherapy, with the exception that kilovoltage x-ray images will be acquired continuously during treatment delivery and used to calculate online Markerless Tumour Tracking. Markerless Tumour Tracking determines the mean tumour position calculated over the most recent 15 seconds and displays shifts exceeding 3 mm.
The trial will be a single-institution study recruiting only at RNSH Radiation Oncology Department.
As this trial investigates feasibility, our focus will be on estimating the proportion of treatment time in which the Markerless Tumour Tracking is within acceptable limits.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Markerless | Markerless Tumour Tracking will be used to observe the radiation beam is accurately targeting the tumour. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Markerless Tumour Tracking | Radiation | Intrafraction Kolovoltage X-ray Imaging using Fiducials |
|
| Measure | Description | Time Frame |
|---|---|---|
| Markerless Tumour Tracking | to demonstrate the feasibility of Markerless Tumour Tracking for motion-adaptive lung cancer radiotherapy as assessed by agreement between markerless and marker-based tracking within 3 mm for at least 80% of the beam-on time as assessed in off-line analyses. | 6 months after recruitment |
| Measure | Description | Time Frame |
|---|---|---|
| Markerless Tumour Tracking outcome | To identify cohort of patients on which markerless Tumour tracking performs well or poorly | 6 months after treatment of last fraction |
| Accuracy | To quantify the accuracy of marker-based tracking by comparison with MV-kV triangulation or visual inspection |
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Inclusion Criteria:
Exclusion Criteria:
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Adults >=18 years with NSCLC
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| Name | Affiliation | Role |
|---|---|---|
| Dasantha Jayamanne, MD | Royal North Shore Hospital | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Royal North Shore Hospital | Saint Leonards | New South Wales | 2065 | Australia |
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| ID | Term |
|---|---|
| D008175 | Lung Neoplasms |
| ID | Term |
|---|---|
| D012142 | Respiratory Tract Neoplasms |
| D013899 | Thoracic Neoplasms |
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
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| 6 months after treatment of last fraction |
| Magnitude | To investigate the magnitude of surrogacy of lung tumour motion, ie the difference between tumour motion and implanted marker motion | 6 months after treatment of last fraction |
| Correlation | To investigate the correlation between external and internal motion using infrared/optical imaging | 6 months after treatment of last fraction |
| Suitability | To investigate the suitability and frequency of correcting for tumour baseline shifts based on a variety of tolerance criteria and with different methods | 6 months after treatment of last fraction |
| Frequency | To investigate the frequency of correcting for tumour baseline shifts based on a variety of tolerance criteria and with different methods | 6 months after treatment of last fraction |
| Feasibility of outcomes prediction | To investigate the feasibility of predicting treatment outcomes based on patient and imaging information | 6 months after treatment of last fraction |
| Outcomes | Participants will be followed for 2 years to determine patient outcomes, including radiation therapy toxicity, local control (whether the tumour has spread) and survival | 6 months after treatment of last fraction |
| Historical | 2 year outcomes will be compared to historical outcomes reported from our lung Departmental SBRT database | 6 months after treatment of last fraction |
| Ineligibility | To record the number of patients ineligible after marker insertion due to positioning of markers, or due to complications with the implantation procedure | 6 months after treatment of last fraction |
| Radiomic Features | To investigate the feasibility of extracting radiomic features from CT, CBCT, and kV images to predict tumour volumes, tracking accuracy, treatment response, and patient outcomes. | 6 months after treatment of last fraction |
| X-ray dose | To report additional x-ray dose caused by imaging during treatment | 6 months after treatment of last fraction |
| D008171 |
| Lung Diseases |
| D012140 | Respiratory Tract Diseases |