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Trial registered on ANZCTR
Registration number
ACTRN12625000264482
Ethics application status
Not required
Date submitted
14/02/2025
Date registered
10/04/2025
Date last updated
10/04/2025
Date data sharing statement initially provided
10/04/2025
Type of registration
Retrospectively registered
Titles & IDs
Public title
An investigation into the impact of plan characteristics on plan complexity measures in HyperArc Stereotactic Radiosurgery (SRS) plans
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Scientific title
An investigation into the impact of plan characteristics on plan complexity measures in HyperArc Stereotactic Radiosurgery (SRS) plans treated at Canberra Hospital from September 2022 to December 2024.
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Secondary ID [1]
313972
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NIL
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Universal Trial Number (UTN)
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Trial acronym
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Linked study record
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Health condition
Health condition(s) or problem(s) studied:
brain metastases
336692
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Condition category
Condition code
Cancer
333193
333193
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0
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Brain
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Intervention/exposure
Study type
Observational
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Patient registry
False
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Target follow-up duration
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Target follow-up type
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Description of intervention(s) / exposure
As this is a retrospective study using existing medical records of patients who have completed their course of radiation treatment from Sept 2022 to March 2025, there is no direct involvement from participants and no treatment is given to patients. The study will only use be using the existing radiation treatment plans and replanning them with different approaches/ parameters, then observing the correlation between plan complexity (monitor units) and physics plan quality assurance (QA) results. These different approaches/ parameters and therefore factors which will be investigated include number of lesions, shape and size of lesions, distance the lesions are from isocentre, proximity to healthy organs and whether additional optimisation structures were utilised.
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Intervention code [1]
330559
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Not applicable
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Comparator / control treatment
Historical data consisting of Hyperarc SRS plans treated from September 2022 to March 2025.
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Control group
Historical
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Outcomes
Primary outcome [1]
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Change in total plan monitor units (MUs) when characteristics are varied in HyperArc SRS plans.
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Assessment method [1]
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Replanning existing plans and changing one variable at a time. Observing change in total MUs on treatment planning system (HyperArc).
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Timepoint [1]
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after replanning
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Primary outcome [2]
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Change in physics quality assurance (QA) pass rates when characteristics are varied in HyperArc SRS plans.
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Assessment method [2]
340935
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Replanning existing plans and changing one variable at a time. Observing change in physics QA pass rates from standard QA document produced by physics after their measurements.
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Timepoint [2]
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after replanning and QA analysis.
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Secondary outcome [1]
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Implementation of MU limits tailored to individual plan characteristics.
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Assessment method [1]
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Based on results of replanning and QA analysis.
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Timepoint [1]
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After data collection is complete and correlation is observed between plan characteristics and MUs + QA results.
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Eligibility
Key inclusion criteria
Age: 18 years and older.
Diagnosis: intact brain metastases and/or post-operative cavities after resection of brain metastatic disease.
Patients planned with HyperArc and treated on the stereotactic linear accelerator at Canberra Region Cancer Centre from Sept 2022 to March 2025.
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Minimum age
18
Years
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Maximum age
No limit
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Sex
Both males and females
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Can healthy volunteers participate?
No
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Key exclusion criteria
Nil.
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Study design
Purpose
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Duration
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Selection
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Timing
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Statistical methods / analysis
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Recruitment
Recruitment status
Recruiting
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Date of first participant enrolment
Anticipated
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Actual
14/02/2025
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Date of last participant enrolment
Anticipated
30/04/2025
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Actual
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Date of last data collection
Anticipated
30/04/2025
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Actual
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Sample size
Target
149
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Accrual to date
5
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Final
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Recruitment in Australia
Recruitment state(s)
ACT
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Funding & Sponsors
Funding source category [1]
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Hospital
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Name [1]
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Canberra Hospital
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Address [1]
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Country [1]
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Australia
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Primary sponsor type
Individual
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Name
Helen Truong - Canberra Health Services
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Address
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Country
Australia
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Secondary sponsor category [1]
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None
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Name [1]
320869
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Address [1]
320869
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Country [1]
320869
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Other collaborator category [1]
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Individual
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Name [1]
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Rachel Poldy - Canberra Health Services
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Address [1]
283439
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Country [1]
283439
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Australia
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Other collaborator category [2]
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Individual
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Name [2]
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Kimberley Legge- Canberra Health Services
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Address [2]
283440
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Country [2]
283440
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Australia
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Other collaborator category [3]
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Individual
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Name [3]
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Martin Seng- Canberra Health Services
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Address [3]
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Country [3]
283441
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Australia
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Other collaborator category [4]
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Individual
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Name [4]
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Helen Gustafsson - Canberra Health Services
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Address [4]
283438
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Country [4]
283438
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Australia
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Other collaborator category [5]
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Individual
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Name [5]
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Farhan Syed- Canberra Health Services
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Address [5]
283442
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Country [5]
283442
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Australia
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Ethics approval
Ethics application status
Not required
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Ethics committee name [1]
317081
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ACT Health Human Research Ethics Committee
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Ethics committee address [1]
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https://health.act.gov.au/act-health-system/research-data-and-publications/research/research-ethics-and-governance
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Ethics committee country [1]
317081
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Australia
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Date submitted for ethics approval [1]
317081
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14/02/2025
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Approval date [1]
317081
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Ethics approval number [1]
317081
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Summary
Brief summary
This study aims to investigate the impact of plan parameters and optimisation approaches on plan monitor units (MUs) and corresponding physics quality assurance (QA) results. Who is it for? Patients who have been diagnosed with intact brain metastases and/or post-operative cavities after resection of brain metastatic disease, and planned with HyperArc and treated on the stereotactic linear accelerator at Canberra Region Cancer Centre from September 2022 to March 2025 will be retrospectively analysed for this study. Study details Once participants are deemed eligible, their existing radiation treatment plans will be randomly selected to provide a wide range of plan characteristics such as number of lesions, size of lesions, shape of lesions, distance from isocentre, proximity to healthy organs and use of optimisation structures. These plans will be de-identified and replanned, changing one variable at a time to observe the results on plan complexity (MUs) and physics QA results. These plans will be ensured clinical acceptability by the principal investigator. After replanning, the impact of plan characteristics on plan complexity and physics QA results will be observed and from that data, MU limits will be developed which are tailored on specific plan characteristics. It is hoped that the results from this study will provide a better understanding of the change in complexity of HyperArc SRS plans depending on particular plan characteristics and see the implementation of MU limits result in a more seamless SRS planning workflow which balances clinical acceptability with deliverability and safety.
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Trial website
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Trial related presentations / publications
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Public notes
Submitted for low risk ethics consideration and was deemed to be a QA project. Therefore, ethics not required.
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Contacts
Principal investigator
Name
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Ms Helen Truong
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Address
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Canberra Region Cancer Centre, Building 19, The Canberra Hospital - Bateson Road, Garran ACT 2605
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Country
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Australia
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Phone
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+61 02 51248444
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Fax
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Email
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[email protected]
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Contact person for public queries
Name
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Helen Truong
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Address
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Canberra Region Cancer Centre, Building 19, The Canberra Hospital - Bateson Road, Garran ACT 2605
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Country
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Australia
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Phone
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+61 02 51248444
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Fax
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Email
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[email protected]
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Contact person for scientific queries
Name
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Helen Truong
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Address
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Canberra Region Cancer Centre, Building 19, The Canberra Hospital - Bateson Road, Garran ACT 2605
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Country
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Australia
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Phone
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+61 02 51248444
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Fax
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Email
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[email protected]
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Data sharing statement
Will the study consider sharing individual participant data?
No
What supporting documents are/will be available?
No Supporting Document Provided
Results publications and other study-related documents
Documents added manually
No documents have been uploaded by study researchers.
Documents added automatically
No additional documents have been identified.
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