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Individualized breathing trace quality assurance for lung radiotherapy patients undergoing 4DCT simulation.
- Source :
- Journal of Applied Clinical Medical Physics; Jun2023, Vol. 24 Issue 6, p1-12, 12p
- Publication Year :
- 2023
-
Abstract
- 4DCT simulation is a popular solution for radiotherapy simulation of lung cancer patients as it allows the clinician to gain an appreciation for target motion during the patient breathing cycle. Resultant binning of images and production of the 4DCT dataset relies heavily on the recorded breathing trace; but quality assurance is not routinely performed on these and there lacks any substantial recommendations thereof. An application was created for Windows in C# that was able to analyze the VXP breathing trace files from Varian RPM/RGSC and quantify various metrics associated with the patient breathing cycle. This data was then used to consider errors in voluming of targets for several example cases in order to justify recommendations on quality assurance. For 281 real patient breathing traces from 4DCT simulation of lung targets, notable differences were found between RGSC and application calculations of phase data. For any new patient without individualized QA, the average marked phase calculation (which is used for 4DCT reconstruction) is only accurate to within 19% of the actual phases. The error in BPM within the scan due to breathing rate variation is 37%. The uncertainty in amplitude due to breathing variation is 34% in the mean. Phase uncertainty leads to misbinning which we have shown can lead to missing 66% of the target for gated treatment. Variation in inhalation/exhalation level leads to voluming errors which, without individualized QA, can be assumed to be 11% (PTV is smaller than actual). Without individualized quality assurance of patient breathing traces, large uncertainties have to be assumed for metrics of both phase and amplitude, leading to clinically significant uncertainties in treatment. It is recommended to perform individualized quality assurance as this provides the clinician with an accurate quantification of uncertainty for their patient. [ABSTRACT FROM AUTHOR]
- Subjects :
- QUALITY assurance
RESPIRATION
LUNGS
RADIOTHERAPY
LUNG cancer
CANCER patients
Subjects
Details
- Language :
- English
- ISSN :
- 15269914
- Volume :
- 24
- Issue :
- 6
- Database :
- Complementary Index
- Journal :
- Journal of Applied Clinical Medical Physics
- Publication Type :
- Academic Journal
- Accession number :
- 164135907
- Full Text :
- https://doi.org/10.1002/acm2.13929