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S767

ESTRO 36 2017

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couch. The gamma passing rates of both cases were

compared to determine the overall impact of including the

couch in the calculations.

Results

The rED densities that best reproduced the measured

values were 0.5ρ

e,w

and 0.1 ρ

e,w

for both CF and Foam,

respectively (see Figure 1). The agreement between

measured and calculated attenuation is good, mainly in

the posterior angles, with differences under 1%. At 110

and 250 gantry degrees we measured differences up to

4.2% and 2.4% for both 6 and 15 MV, respectively. These

angles match the lateral edges of the couch, where there

are many different components, which make this

simplified model less accurate.

For the 36 VMAT plans we compared the 3D global gamma

passing rates with (W) and without (W/O) the couch, and

the average results were (detailed in Figure 2):

γ(3%,3mm): W/O: 98.9%, W: 99.3%; γ (2%2mm): W/O:

92.5%, W: 93.8%. The median improvement is 0.3% for

γ(3,3) and 1.1% for γ(2,2).

Conclusion

Relying on the results, it is advisable to implement the

treatment couch in the TPS, especially using techniques

such as VMAT. In this work we present a successful model

of the iBEAM® evo Couchtop in Monaco for both 6 and 15

MV. We plan to implement it for all our both 3D and

IMRT/VMAT plans.

EP-1454 Comparison of Treatment Planning

Algorithms and Monte Carlo Simulations in Oesophageal

Radiotherapy

D. Johns

1

, E. Spezi

2

, P. Downes

1

, D. Lewis

1

1

Velindre Cancer Centre, Medical Physics, Cardiff,

United Kingdom

2

Cardiff University, School Of Engineering, Cardiff,

United Kingdom

Purpose or Objective

Many workers have published comparisons of dose

distributions generated by conventional radiotherapy

planning systems and those produced by various Monte

Carlo (MC) dose calculation packages [1]. However, due

to the large computational load involved in producing each

MC plan, the number of cases cited in each study is

relatively small and hence the statistical power of these

studies is low. In this work, distributed computing

resources have been used to simulate over fifty

oesophageal radiotherapy treatment plans, to provide a

more statistically powerful comparison of analytical dose

calculations and MC dose calculations.

Material and Methods

Radical oesophageal radiotherapy plans are routinely

produced in our centre according to a protocol originally

developed for the national SCOPE trial [2]. Plans were

produced using the Pencil Beam Enhanced (PBE)

algorithm, and re-calculated using the Collapsed Cone

Enhanced (CCE) algorithm, of Oncentra MasterPlan (OMP)

v4.3. MC simulations were performed using the BEAMnrc

package.

Results

An initial sample of 12 oesophageal radiotherapy

treatment plans were simulated using the RTGrid

system. The differences between the dose calculation

methods, and the variance in the twelve cases, were used

to calculate the sample size needed to detect a 3%

difference in the proportion of the Planning Target Volume

receiving 95% of the prescription dose (PTV V95%) with 90%

power, following the method of Altman [3]. The required

sample size was determine to be 38, so a further 40

oesophageal cases were subsequently simulated. The

volumetric dose data for the different dose calculation

methods was used to calculate the Tumour Control

Probability (TCP) using the method of Geh [4].

Conclusion

A statistically significant decrease in the PTV V95% when

changing from CCE to MC dose calculations has been

demonstrated, in a sample of 40 cases. A statistically

significant decrease in the values of TCP calculated based

on the CCE and MC dose calculations was also found,

suggesting that the differences in physical dose would

have clinical significance.

References

1. Rogers DWO.

Fifty years of Monte Carlo

simulations for medical physics

. Physics in Medicine and

Biology. 2006,

51

(13), R287-301.

2. Wills L, Millin A, Paterson J, Crosby T, Staffurth J.

The effect of planning algorithms in oesophageal

radiotherapy in the context of the SCOPE 1 trial.

Radiotherapy and Oncology 2009,

93

(3), 462-7.

3. Altman DG

Practical Statistics for Medical Research

1999 (Boca Raton: Chapman & Hall/CRC) 455-461

4. Geh, J.I. et al,

Systematic overview of

preoperative (neoadjuvant) chemoradiotherapy trials in

oesophageal cancer: Evidence of a radiation and

chemotherapy dose response.

Radiotherapy and

Oncology, 2006,

78

(3), pp.236–244..

EP-1455 IGRT kV-CBCT dose calculations using Virtual

Source Models and validated in phantoms using OSL

G. Boissonnat

1

, H. Chesneau

1

, J. Garcia-Hernandez

1

, D.

Lazaro

1

1

CEA-LIST, DM2I/LM2S, GIF SUR YVETTE, France

Purpose or Objective

With the growing use of X-ray imaging equipment in

Image-Guided RadioTherapy (IGRT), the need to evaluate

the dose-to-organs delivered by kV-CBCT imaging

acquisition increases. This study aims to propose accurate

Monte Carlo (MC) calculations of the patient dose-to-

organs delivered by two commercially available kV-CBCT

systems: the XVI from Elekta’s VERSA HD accelerator and