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.
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.
Study Type
OBSERVATIONAL
Enrollment
30
Images are acquired and assessed offline
Liverpool Hospital
Liverpool, New South Wales, Australia
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).
Time frame: 2 years
To measure the extent of association between image quality and the patients' breathing conditions.
Using 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.
Time frame: 2 years
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