Copenhagen, Denmark
Onsite/Online

ESTRO 2022

Session Item

Dosimetry
6034
Poster (digital)
Physics
Error detection thresholds of diode detector arrays in SRT patient specific QA
Mark Tutty, Ireland
PO-1555

Abstract

Error detection thresholds of diode detector arrays in SRT patient specific QA
Authors:

Mark Tutty1, Marco Langhans2, Ann-Kathrin Stedem3, Christoph Kleefeld4, Andreas A. Schönfeld5

1The Beacon Hospital, Radiotherapy , Dublin, Ireland; 2Hospital of Wilhelmshaven, Radiation Oncology, Wilhelmshaven, Germany; 3Heinrich-Heine Universität Düsseldorf, Science, Düsseldorf, Germany; 4Nation university of Ireland, Galway, Medical Physics, Galway, Ireland; 5Sun Nuclear Corp, Medical Physics, Melbourne, USA

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Purpose or Objective

The aim of this study was to compare the SRS MapCHECK and ArcCHECK detector arrays (both Sun Nuclear Corp., Melbourne, FL, USA), operated with and without high density merge, in their ability to recognize artificially introduced MLC errors in SRT treatment plan deliveries and to establish recommended gamma criteria for each device.

Material and Methods

Various treatment plans with target volumes ranging between 1.5 cm and 3 cm diameter were created in Eclipse TPS (Varian Medical Systems, USA) at The Beacon Hospital, Dublin. These treatment plans were modified by introducing predetermined MLC and/or jaw errors according to Kim et al. (2014). The introduced MLC and jaw offsets ranged from 0.5 mm to 2 mm.

To determine the clinical impact of these misalignments, dose volume histograms (DVHs) of the modified plans were calculated and compared to the DVHs of the respective unmodified plans.

The modified treatment plans were then irradiated onto the SRS MapCHECK array contained within the StereoPHAN End-to-End phantom (also Sun Nuclear Corp.) as well as the ArcCHECK array. Additional, shifted measurements were taken to double the effective spatial resolution of the arrays (high density merge). The measured dose maps of the modified treatment plans were compared to the TPS calculated dose map of the unmodified treatment plan.

The accompanying SNC Patient software was used to establish the gamma passing rates. The gamma analysis was carried out using various gamma criteria ranging from 1%/1mm to 3%/3mm, to see which were sensitive enough to pick up on the misalignments and which may be oversensitive. The passing criteria was set to be 95% for a plan to be determined viable for treatment. The results each array was compared to each other to see which array was successfully able to pick up on the smallest, clinically relevant misalignment. 

Results

By comparing DVHs of modified plans to the original plans, it could be seen that misalignments as small as 1 mm induced in the system can have a detrimental effect on the PTV coverage, which could potentially lead to an under-dosage to the treatment volume, therefore any gamma criteria selected would be required to be able to pick up on shifts of 1 mm.

The SRS MapCHECK was able to pick up all introduced MLC errors using Gamma criteria of 2%/1mm. Doubling the spatial resolution of the SRS MapCHECK did not affect the error detection capability or passing rates. The ArcCHECK could detect introduced errors in deliveries of treatment plans with larger target volumes of about 3 cm using gamma criteria of 3%/1mm. However, the ArcCHECK was insensitive to introduced errors in deliveries of treatment plans with small target volumes of about 1.5 cm.

Conclusion

The SRS MapCHECK successfully detects clinically significant errors in patient specific QA of SRT treatment plans. The ArcCHECK has shown to struggle in detecting errors in very small fields, but performs well in larger field sizes.