135: Log file based dose calculations as a quality assurance tool in scanned beam proton radiotherapy

2014 ◽  
Vol 110 ◽  
pp. S66-S67
Author(s):  
G. Meier ◽  
A. Nanz ◽  
R. Besson ◽  
S. Safai ◽  
A.J. Lomax
2013 ◽  
Vol 86 (1031) ◽  
pp. 20130390 ◽  
Author(s):  
K Iqbal ◽  
M Gillin ◽  
P A Summers ◽  
S Dhanesar ◽  
K A Gifford ◽  
...  

2020 ◽  
Vol 21 (11) ◽  
pp. 163-171
Author(s):  
Philipp Szeverinski ◽  
Matthias Kowatsch ◽  
Thomas Künzler ◽  
Marco Meinschad ◽  
Patrick Clemens ◽  
...  

2021 ◽  
Author(s):  
David S Lakomy ◽  
Jinzhong Yang ◽  
Sastry Vedam ◽  
Jihong Wang ◽  
Belinda Lee ◽  
...  

Purpose: Magnetic resonance imaging-guided linear accelerator systems (MR-linacs) can facilitate the daily adaptation of radiotherapy plans. Here, we report our early clinical experience using an MR-linac for adaptive radiotherapy of gynecologic malignancies. Methods and Materials: Treatments were planned with an Elekta Monaco v5.4.01 and delivered by a 1.5 Tesla Elekta Unity MR-linac. The system offers a choice of daily adaptation based on either position (ATP) or shape (ATS) of the tumor and surrounding normal structures. The ATS approach has the option of manually editing the contours of tumors and surrounding normal structures before the plan is adapted. Here we documented the duration of each treatment fraction; set-up variability (assessed by isocenter shifts in each plan) between fractions; and, for quality assurance, calculated the percentage of plans meeting the ;γ-criterion of 3%/3-mm distance to agreement. Deformable accumulated dose calculations were used to compare ATP plans with reference dose plans. Results: Of the 10 patients treated with 90 fractions on the MR-linac, most received boost doses to recurrence in nodes or isolated tumors. Each treatment fraction lasted a median 32 minutes; fractions were shorter with ATP than with ATS (30 min vs 42 min, P<0.0001). The γ-criterion for all fraction plans exceeded >90% (median 99.9%, range 92.4%-100%), i.e., all plans passed quality assurance testing. The average extent of isocenter shift was <0.5 cm in each axis. The accumulated dose to the gross tumor volume was within 10% of the reference plan for all ATP cases. Accumulated doses for lesions in the pelvic periphery were within 1% of the reference plan as opposed to -5.8% to -9.6% for central tumors. Conclusions: The MR-linac is a reliable and clinically feasible tool for treating patients with gynecologic cancer.


2007 ◽  
Vol 34 (6Part12) ◽  
pp. 2470-2470
Author(s):  
N Linton ◽  
S Pencea ◽  
O Krivosheev ◽  
M Napolitano ◽  
M Alber

2008 ◽  
Vol 35 (6Part11) ◽  
pp. 2760-2760
Author(s):  
J Xu ◽  
T Roland ◽  
C Shi ◽  
N Papanikolaou

2020 ◽  
Vol 4 (s1) ◽  
pp. 106-106
Author(s):  
Holly Marie Parenica ◽  
Christopher Kabat ◽  
Pamela Myers ◽  
Neil Kirby ◽  
Pavlos Papaconstadopoulos ◽  
...  

OBJECTIVES/GOALS: The Monte Carlo dose calculation method is often considered the “gold standard” for patient dose calculations and can be as radiation dose measurements. Our study aims to develop a true Monte Carlo model that can be implemented in our clinic as part of our routine patient-specific quality assurance. METHODS/STUDY POPULATION: We have configured and validated a model of one of our linear accelerators used for radiation therapy treatments using the EGSnrc Monte Carlo simulation software. Measured dosimetric data was obtained from the linear accelerator and was used as the standard to compare the doses calculated with our model in EGSnrc. We will compare dose calculations between commercial treatment planning systems, the EGSnrc Monte Carlo model, and patient-specific measurements. We will implement the Monte Carlo model in our clinic for routine second-checks of patient plans, and to recalculate plans delivered to patients using machine log files. RESULTS/ANTICIPATED RESULTS: Our Monte Carlo model is within 1% agreement with our measured dosimetric data, and is an accurate representation of our linear accelerators used for patient treatments. With this high level of accuracy, we have begun simulating more complex patient treatment geometries, and expect the level of accuracy to be within 1% of measured data. We believe the Monte Carlo calculation based on machine log files will correlate with patient-specific QA analysis and results. The Monte Carlo model will be a useful tool in improving our patient-specific quality assurance protocol and can be utilized in further research. DISCUSSION/SIGNIFICANCE OF IMPACT: This work can be implemented directly in clinical practice to ensure patient doses are calculated as accurately as possible. These methods can be used by clinics who do not have access to more advanced dose calculation software, ensuring accuracy for all patients undergoing radiotherapy treatments.


2021 ◽  
Vol 161 ◽  
pp. S743-S745
Author(s):  
S. Neppl ◽  
C. Kurz ◽  
D. Köpl ◽  
I. Yohannes ◽  
M. Schneider ◽  
...  

2021 ◽  
Author(s):  
Sebastian Neppl ◽  
Christopher Kurz ◽  
Daniel Köpl ◽  
Indra Yohannes ◽  
Moritz Schneider ◽  
...  

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