Adaptive CT Acquisition for Personalised Thoracic Imaging
ADAPT
ADAPT: Adaptive CT Acquisition for Personalised Thoracic Imaging: A Phase 1 Pilot Study on the Use of Respiratory Motion Guided 4DCBCT for Lung Cancer Radiotherapy
1 other identifier
observational
30
1 country
1
Brief Summary
In this trial, Respiratory Motion Guided (RMG) 4DCBCT will be implemented for the first time on lung cancer patients. RMG-4DCBCT adapts the image acquisition as the patient's breathing changes (i.e. if the patient breathes faster, imaging data is acquired faster). By adapting the acquisition to the dynamic patient, personalised images of a patients lungs are able to be acquired for radiotherapy treatments.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for all trials
Started Aug 2019
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
August 13, 2019
CompletedStudy Start
First participant enrolled
August 21, 2019
CompletedFirst Posted
Study publicly available on registry
August 28, 2019
CompletedPrimary Completion
Last participant's last visit for primary outcome
January 13, 2021
CompletedStudy Completion
Last participant's last visit for all outcomes
February 19, 2021
CompletedMay 19, 2021
May 1, 2021
1.4 years
August 13, 2019
May 18, 2021
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
RMG-4DCBCT image guidance is feasible for lung cancer patients undergoing radiotherapy
This will be achieved by performing (offline) analysis of the RMG-4DCBCT images obtained and scoring them on a scale of one (excellent quality for image guidance) to three (unsuitable for image guidance).
2 years
Secondary Outcomes (1)
To measure the extent of association between image quality and the patients' breathing conditions.
2 years
Study Arms (1)
4DCBCT images
4DCBCT images are acquired and assessed offline.
Interventions
Eligibility Criteria
Patients with lung cancer who will be treated with radiotherapy.
You may qualify if:
- Have the ability to give informed consent
- A diagnosis of lung cancer with an indication for radiotherapy either curative or palliative
- Radiotherapy treatment involving the routine acquisition of CBCT for patient setup provided that 4DCBCT is to be acquired during the course of treatment.
- At least two radiotherapy fractions during the course of treatment.
You may not qualify if:
- Pregnant women.
- Patient who in the opinion of the treating physician could not tolerate the extra time on the treatment couch for two days of treatment.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- University of Sydneylead
- National Health and Medical Research Council, Australiacollaborator
- Liverpool Cancer Therapy Centrecollaborator
Study Sites (1)
Liverpool Hospital
Liverpool, New South Wales, 2170, Australia
Related Publications (1)
Lau BKF, Reynolds T, Keall PJ, Sonke JJ, Vinod SK, Dillon O, O'Brien RT. Reducing 4DCBCT imaging dose and time: exploring the limits of adaptive acquisition and motion compensated reconstruction. Phys Med Biol. 2022 Mar 7;67(6). doi: 10.1088/1361-6560/ac55a4.
PMID: 35172286DERIVED
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Ricky O'Brien, PhD
University of Sydney
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
August 13, 2019
First Posted
August 28, 2019
Study Start
August 21, 2019
Primary Completion
January 13, 2021
Study Completion
February 19, 2021
Last Updated
May 19, 2021
Record last verified: 2021-05
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL
- Time Frame
- Data will become available following completion of the final analysis. Data will be available indefinitely.
- Access Criteria
- Data will be made available to other researchers upon request.
Only non-identifiable data may be made available for other scientific research, e.g., nonidentifiable data placed on a well-controlled university site, upon request. The data sharing platform is a secure on-line storage solution ("CloudStor") provided through University of Sydney. The data will be stored as a password-protected, encrypted file. In order to download or decompress the data, participating researchers agree to the terms of use for the data, including: (i) that the data is not to be published or otherwise redistributed without the express consent of the original investigators.