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S768

ESTRO 36 2017

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the OBI from Varian’s TrueBeam system. Simulations are

to be validated using in phantom OSL measurements.

Material and Methods

For both kV-CBCT systems, the kV irradiation head

geometry was implemented in the MC simulation code

Penelope. As a first step, the resulting photon

distributions were expressed as Virtual Source Models

(VSM) for every standard irradiation condition (kVp,

filtration, collimation); it was then validated and adjusted

using in water-phantom measurements performed wit a

calibrated Farmer-type ionization chamber.

In a second step, the validated VSMs were used to simulate

the dose delivered by both the XVI and OBI systems in

anthropomorphic phantoms, using standard clinical

imaging protocols. Simulated dose-to-organs were then

confronted to dose measurements performed using OSL

inserted into the same phantoms, following a dosimetric

protocol for OSLs previously established [1].

In addition, VSM results were confronted to their direct MC

counterparts in order to evaluate the benefit of using such

technique.

Results

The current study highlights the possibility to reproduce

OSL dose-to-organ measurements using VSM-driven Monte

Carlo simulation with an overall agreement better than 20

%. In addition, the use of VSM in the MC simulation enables

to speed-up the calculation time by a factor better than

two (for the same statistical uncertainty) compared to

direct MC simulation. Nevertheless, if direct and VSM

calculations are in agreement inside the irradiation field,

outside, VSM results tend to be significantly lower (10-

30%).

Conclusion

The use of a VSM was demonstrated to simplify and fasten

MC simulations for personalized kV-CBCT MC dose

estimation. In addition, OSLs enable to perform the low

dose measurement in the kV range needed for in phantom

X-ray imaging equipment dose QA.

This study is to be completed in the near future by the

addition of other standard X-ray imaging equipment

dedicated to IGRT.

EP-1456 In-vivo dosimetry using Dosimetry Check: 5-

year experience on 345 prostate cancer patients

W.H. Nailon

1

, D. Welsh

1

, K. MacDonald

1

, D. Burns

2

, J.

Forsyth

2

, G. Cooke

1

, F. Cutanda

1

, D.B. McLaren

3

, J.

Puxeu-Vaque

1

, T. Kehoe

1

, S. Andiappa

1

1

Edinburgh Cancer Centre Western General Hospital,

Department of Oncology Physics, Edinburgh, United

Kingdom

2

Edinburgh Cancer Centre Western General Hospital,

Department of Radiography, Edinburgh, United Kingdom

3

Edinburgh Cancer Centre Western General Hospital,

Department of Clinical Oncology, Edinburgh, United

Kingdom

Purpose or Objective

It is recommended that all radiotherapy centres in the

United Kingdom (UK) have a protocol for in vivo dosimetry

(IVD) and in several European countries IVD is now

mandatory. Electronic portal imaging devices (EPIDs),

which although developed primarily for the purposes of

imaging, are now widely used for IVD and consequently for

treatment quality assurance (QA). Here we present results

from 5-year clinical experience of using IVD for

verification of prostate cancer patients.

Material and Methods

Between 2011 and 2016 IVD was performed by Dosimetry

Check (DC) (Math Resolutions LLC, Columbia, MD, USA) on

345 prostate cancer patients. Treatment plans were

prepared in Eclipse (Varian Medical Systems, Inc., Palo

Alto, CA, USA) with 285 patients treated with a volumetric

modulated arc therapy (VMAT) technique and 60 patients

treated with a three-dimensional conformal radiotherapy

(3DCRT) technique. The difference between the dose

calculated by Eclipse at a reference point and the dose

measured by DC at the same reference point at time-of-

treatment was recorded. In cases where the dose

difference exceeded ±10% an alert was triggered and a full

three-dimensional gamma analysis (4%/4mm) performed

on the treatment plan. This led to either the measurement

being repeated or further positional and patient-specific

QA checks being performed.

Results

Figure 1 shows the percentage difference in point doses

calculated by Eclipse and measured by DC for the 3DCRT

and VMAT treatments monitored. The mean and standard

deviation (µ±σ) of the percentage difference in dose

obtained by DC and calculated by Eclipse was 1.23±4.61%

in VMAT and −3.62±4.00% in 3DCRT. A total of 12 plans

exceeded the ±10% alert criteria accounting for 3.5% of all

prostate cancer treatments monitored. In all of these

cases further investigation using 3D gamma analysis and

additional patient-specific QA found no reportable

treatment

errors.

Figure 1

: IVD point dose measurements on all prostate

cancer patients treated between 2011 and 2016.

Conclusion

The preliminary results of this pilot study show that EPID-

based IVD using the DC software has the potential to

detect errors and identify sub-optimal treatments. With

the addition of more data it may also be possible to

establish site-specific alert levels, which could improve

the quality of radiotherapy.

EP-1457 Introducing the fraction of penumbra dose in

the evaluation of VMAT treatment plans

A. Bäck

1

, F. Nordström

1

, M. Gustafsson

1

, J. Götstedt

2

, A.

Karlsson Hauer

1

1

Sahlgrenska University Hospit, Therapeutic Radiation

Physics, Göteborg, Sweden

2

University of Gothenburg, Radiation Physics, Göteborg,

Sweden

Purpose or Objective

The overall objective is to develop a 3D complexity metric

for VMAT treatments. The complexity scores will be

presented as a distribution in a 3D volume and correlate

to the fraction of penumbra dose. Regions lacking charged

particle equilibrium that might cause dose calculation

errors and regions sensitive to multileaf collimator (MLC)

positioning errors are located in the penumbra of the MLC

opening. The hypothesis is that an increased amount of

dose in a voxel that originates from a penumbra region will

correlate to the probability of increased difference

between planned and delivered dose in that voxel. In this

pilot study, 2D distributions are analyzed to validate the

correlation to differences between calculated and

measured dose.

Material and Methods

A C# software with dynamically linked MatLab®

(Mathworks, Natick, MA) libraries was developed. The