Neutron and photon out-of-field doses at cardiac implantable electronic device (CIED) depths.

Appl Radiat Isot

Department of Physics, University of Trieste, Trieste, Italy; Istituto Nazionale di Fisica Nucleare, Sezione di Trieste, Trieste, Italy.

Published: October 2021

The accuracy of an out-of-field dose from an Elekta Synergy accelerator calculated using the X-ray Voxel Monte Carlo (XVMC) dose algorithm in the Monaco treatment planning system (TPS) for both low-energy (6 MV) and high-energy (15 MV) photons at cardiac implantable electronic device (CIED) depths was investigated through a comparison between MCNPX simulated out-of-field doses and measured out-of-field doses using three high spatial and sensitive active detectors. In addition, total neutron equivalent dose and fluence at CIED depths of a 15-MV dose from an Elekta Synergy accelerator were calculated, and the corresponding CIED relative neutron damage was quantified. The results showed that for 6-MV photons, the XVMC dose algorithm in Monaco underestimated out-of-field doses in all off-axis distances (average errors: -17% at distances X < 10 cm from the field edge and -31% at distances between 10 < X ≤ 16 cm from the field edge), with an increasing magnitude of underestimation for high-energy (15 MV) photons (up to 11%). According to the results, an out-of-field photon dose at a shallower CIED depth of 1 cm was associated with greater statistical uncertainty in the dose estimate compared to a CIED depth of 2 cm and clinical depth of 10 cm. Our results showed that the relative neutron damage at a CIED depth range for 15 MV photon is 36% less than that reported for 18 MV photon in the literature.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.apradiso.2021.109895DOI Listing

Publication Analysis

Top Keywords

out-of-field doses
16
cied depths
12
cardiac implantable
8
implantable electronic
8
electronic device
8
device cied
8
dose elekta
8
elekta synergy
8
synergy accelerator
8
accelerator calculated
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!