| Literature DB >> 25207421 |
James Gräfe1, Yannick Poirier, Ferenc Jacso, Rao Khan, Hong-Wei Liu, J Eduardo Villarreal-Barajas.
Abstract
In this report, we quantify the divergence from the inverse square law (ISL) of the beam output as a function of distance (standoff) from closed-ended applicators for a modern clinical orthovoltage unit. The divergence is clinically significant exceeding 3% at a 1.2 cm distance for 4 × 4 and 10 × 10 cm2 closed-ended applicators. For all investigated cases, the measured dose falloff is more rapid than that predicted by the ISL and, therefore, causes a systematic underdose when using the ISL for dose calculations at extended SSD. The observed divergence from the ISL in closed-ended applicators can be explained by the end-plate scattering contribution not accounted for in the ISL calculation. The standoff measurements were also compared to the predictions from a home-built kV dose computation algorithm, kVDoseCalc. The kVDoseCalc computation predicted a more rapid falloff with distance than observed experimentally. The computation and measurements agree to within 1.1% for standoff distances of 3 cm or less for 4 × 4 cm2 and 10 × 10 cm2 field sizes. The overall agreement is within 2.3% for all field sizes and standoff distances measured. No significant deviation from the ISL was observed for open-ended applicators for standoff distances up to 10 cm.Entities:
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Year: 2014 PMID: 25207421 PMCID: PMC5875524 DOI: 10.1120/jacmp.v15i4.4893
Source DB: PubMed Journal: J Appl Clin Med Phys ISSN: 1526-9914 Impact factor: 2.102
Nominal clinical beam parameters of the Xstrahl‐300 unit
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| 100 | 3 mm Al | 2 mm Al | 35 | 26 |
| 150 | 6 mm Al | 1 mm Al, 0.10 mm Cu | 47 | 20 |
| 200 | 1 mm Cu | 1 mm Al, 0.45 mm Cu | 80 | 15 |
Figure 1The percentage difference between the measured dose falloff and that expected from the ISL with distance from open‐ended circular applicators.
Figure 2The percentage difference between the measured relative dose falloff and that expected from the ISL as a function of the distance from closed‐ended square applicators.
Figure 3Comparison of the measured and computed relative total dose falloff as a function of applicator standoff for a 200 kVp beam with closed‐ended applicator. A much more rapid falloff is observed for the measured and computed data compared to the predicted falloff from the inverse square law. Also shown are the computed primary and scatter dose components.
Relative scatter contribution (%) to the total dose at the end plate as a function of field size and energy determined from kVDoseCalc
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| 10.9 % | 10.2 % | 8.6 % |
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| 12.5 % | 11.6 % | 10.3 % |
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| 13.4 % | 12.3 % | 10.8 % |
Figure 4Normalized scatter component as a function of FS and applicator standoff for square closed‐ended applicators. The dropoff is much more pronounced with decreasing field size compared to the dropoff as a function of energy shown in Fig. 5.
Figure 5Normalized scatter component as a function of energy and applicator standoff for square closed‐ended applicators. The dropoff is much less pronounced as a function of energy compared to the FS dependence in Fig. 4.
Figure 6A plot of the square root of the inverse of the relative dose as function of standoff at 100 kVp for square closed‐ended applicators. The effective source position is determined from the inverse of the slope as defined in Khan.
The effective source position in cm as a function of energy (E) and field size (FS). The averages for either FS or E are also given. The dependence on field size is more significant than the dependence on E
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| 30.2 | 30.2 | 31.0 |
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| 32.2 | 32.0 | 33.9 |
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| 35.9 | 37.4 | 35.4 |
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| FS: Average |
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| – |
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Standoff correction factors as a function of field size for closed‐ended applicators. The data in this table are averages over all three energies. The standard deviation varied by less than 0.6% for the average over energy for each standoff position. The ISL correction factor at the nominal SSD of 50 cm is shown for comparison
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| 0 | 1.000 | 1.000 | 1.000 | 1.000 |
| 0.5 | 0.964 | 0.967 | 0.970 | 0.980 |
| 1.0 | 0.932 | 0.937 | 0.943 | 0.961 |
| 1.5 | 0.904 | 0.911 | 0.919 | 0.943 |
| 2.0 | 0.879 | 0.887 | 0.897 | 0.925 |
| 2.5 | 0.858 | 0.865 | 0.876 | 0.907 |
| 3.0 | 0.839 | 0.845 | 0.857 | 0.890 |
| 5.0 | 0.773 | 0.775 | 0.787 | 0.826 |