Purpose: To assess the sensitivity of two commercial dosimetry systems in detecting Helical TomoTherapy (HT) delivery errors.
Method: Two commercial dosimeters i) MatriXX and ii) ArcCHECK® were considered. Ten retrospective nasopharynx HT patients were analysed. For each patient, error plans were created by independently introducing systematic offsets in: a) Jaw width error ±1, ±1.5 and ±2mm, b) Couch speed error ±2%, ±2.5, ±3% and ±4%, and c) MLC Leaf Open Time (MLCLOT) errors (3 separate MLC errors: either leaf 32 open or leaf 42 remains open during delivery, and 4% random reductions in MLCLOT). All error plans, along with the no error plan for each patient, were measured using both dosimeters in the same session. Gamma evaluation (3%/3mm) was applied to quantitatively compare the measured dose from each dosimeter to the treatment planning system. The error sensitivity was quantified as the rate of decrease in gamma pass rate.
Results: The gamma pass rate decreases with increase in error magnitude for both dosimeters. ArcCHECK was insensitive for couch speed error up to 2.5% and jaw width error up to -1.5mm while MatriXX was found to be insensitive to couch speed error up to 2% and couch speed up to -1mm. Both of the detectors show similar sensitivity to all the MLCLOT errors that were clinically relevant.
Conclusion: No statistically significant (p>0.05) differences exist in detecting the simulated delivery errors between MatriXX and ArcCHECK dosimeter systems for HT plans. Both dosimeters were able to pick up clinically relevant delivery errors.
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http://dx.doi.org/10.1016/j.ejmp.2017.04.011 | DOI Listing |
ArXiv
November 2024
Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA 30322, USA.
In this work, we present a new imaging system to support real-time tumor tracking for surface-guided radiotherapy (SGRT). SGRT uses optical surface imaging (OSI) to acquire real-time surface topography images of the patient on the treatment couch. This serves as a surrogate for intra-fractional tumor motion tracking to guide radiation delivery.
View Article and Find Full Text PDFJ Appl Clin Med Phys
November 2024
Department of Radiation Oncology, Aichi Cancer Center Hospital, Nagoya, Aichi, Japan.
Purpose: Total body irradiation before bone marrow transplantation for hematological malignancies using Radixact, a high-precision radiotherapy machine, can potentially reduce side effects and the risk of secondary malignancies. However, stable control of couch speed is critical, and direct assessment methods outlined in quality assurance guidelines are lacking. This study aims to develop a real-time couch speed verification system for the Radixact.
View Article and Find Full Text PDFPhys Med
August 2024
University of California San Francisco, Department of Radiation Oncology 1600 Divisadero Street, San Francisco, CA 94143, United States. Electronic address:
Purpose: The Monte Carlo (MC) method, the gold standard method for radiotherapy dose calculations, is underused in clinical research applications mainly due to computational speed limitations. Another reason is the time-consuming and error prone conversion of treatment plan specifications into MC parameters. To address this issue, we developed an interface tool that creates a set of TOPAS parameter control files (PCF) from information exported from a clinical treatment planning system (TPS) for plans delivered by the TrueBeam radiotherapy system.
View Article and Find Full Text PDFLancet
June 2024
MRC Clinical Trials Unit at UCL, Institute of Clinical Trials and Methodology, University College London, London, UK. Electronic address:
Lancet
June 2024
MRC Clinical Trials Unit at UCL, Institute of Clinical Trials and Methodology, University College London, London, UK. Electronic address:
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