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Adaptive CT Acquisition for Personalised Thoracic Imaging

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

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04070586
Acronym
ADAPT
Enrollment
30
Registered
2019-08-28
Start date
2019-08-21
Completion date
2021-02-19
Last updated
2021-05-19

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

Conditions

Cancer, Lung

Keywords

Lung cancer, Radiotherapy, 4DCBCT

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.

Detailed description

Four dimensional cone beam computed tomography (4DCBCT) continues to play a pivotal role in the safe delivery of radiotherapy treatments for lung cancer patients. 4DCBCT meets exacting tumour localisation requirements by allowing radiation therapists to measure the tumour as a patient breathes (4D=volumetric images plus respiratory induced tumour motion). Despite the success of 4DCBCT to date, it suffers from relatively poor image quality, very long scan times (4min) and higher imaging doses than are necessary. The primary reason for these problems is that although the purpose of 4DCBCT is to acquire information about tumour motion due to respiration, there is no feedback from the patients breathing signal to adapt and optimise the image acquisition process. This clinical trial is a phase 1 first in human's pilot study and the aim is therefore to prove feasibility of RMG-4DCBCT, not necessarily efficacy. As such, patient scans will be acquired across a broad range of patient breathing conditions to optimise the RMG-4DCBCT technique and also to plan a hypothesis driven clinical trial to follow.

Interventions

DEVICE4DCBCT images

Images are acquired and assessed offline

Sponsors

National Health and Medical Research Council, Australia
CollaboratorOTHER
Liverpool Cancer Therapy Centre
CollaboratorOTHER_GOV
University of Sydney
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

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

Inclusion criteria

* 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.

Exclusion criteria

* 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.

Design outcomes

Primary

MeasureTime frameDescription
RMG-4DCBCT image guidance is feasible for lung cancer patients undergoing radiotherapy2 yearsThis 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).

Secondary

MeasureTime frameDescription
To measure the extent of association between image quality and the patients' breathing conditions.2 yearsUsing RMG-4DCBCT scans acquired across a broad range of patients for the first time we will determine if there is a link between image quality and the patients' breathing conditions. This information will be used to improve the prototype.

Countries

Australia

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 13, 2026