Abstract
Abstract
Background
Magnetic resonance-guided adaptive radiotherapy (MRgART) treatment sessions at MR-Linac are time-consuming and changes in organs at risk volumes can impact the treatment dosimetry. This study aims to evaluate the feasibility to control bladder filling during the rectum MRgART online session and its effectiveness on plan dosimetry.
Methods
A total of 109 online adaptive sessions of 24 rectum cancer patients treated at Unity 1.5 T MR-Linac with a short course radiotherapy (25 Gy, 5 Gy × 5) for whom the adaptive plan was optimized and recalculated online based on the daily magnetic resonance imaging (MRI) were analysed. Patients were fitted with a bladder catheter to control bladder filling; the bladder is emptied and then partially filled with a known amount of saline at the beginning and end of the online session. A first MRI ($${\mathrm{MRI}}_{\mathrm{i}}$$
MRI
i
) acquired at the beginning of the session was used for plan adaptation and the second ($${\mathrm{MRI}}_{\mathrm{f}}$$
MRI
f
) was acquired while approving the adapted plan and rigidly registered with the first to ensure the appropriateness of the isodoses on the ongoing delivery treatment. For each fraction, the time interval between the two MRIs and potential bladder changes were assessed with independent metrics, and the impact on the plan dosimetry was evaluated by comparing target and organs at risk dose volume histogram cut-off points of the plan adapted on $${\mathrm{MRI}}_{\mathrm{i}}$$
MRI
i
and recalculated on $${\mathrm{MRI}}_{\mathrm{f}}$$
MRI
f
.
Results
Median bladder volume variations, DSC, and HD of 8.17%, 0.922, and 2.92 mm were registered within a median time of 38 min between $${\mathrm{MRI}}_{\mathrm{i}}$$
MRI
i
and $${\mathrm{MRI}}_{\mathrm{f}}$$
MRI
f
; dosimetric differences < 0.65% were registered for target coverage, and < 0.5% for bladder, small bowel and femoral heads constraints, with a p value > 0.05.
Conclusion
The use of a bladder filling control procedure can help ensure the dosimetric accuracy of the online adapted treatment delivered.
Funder
Natural Science Foundation of Sichuan Province, China
Medical Engineering Innovation Fund for Cancer, Chengdu, China
Publisher
Springer Science and Business Media LLC
Subject
Radiology, Nuclear Medicine and imaging,Oncology
Cited by
4 articles.
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