Table of Contents Table of Contents
Previous Page  798 / 1082 Next Page
Information
Show Menu
Previous Page 798 / 1082 Next Page
Page Background

S782

ESTRO 36 2017

_______________________________________________________________________________________________

P.H. Mackeprang

1

, D. Vuong

1

, W. Volken

1

, D. Henzen

1

, D.

Schmidhalter

1

, M. Malthaner

1

, S. Mueller

1

, D. Frei

1

, D.M.

Aebersold

2

, M.K. Fix

1

, P. Manser

1

1

Division of Medical Radiation Physics and Department of

Radiation Oncology, Inselspital- Bern University Hospital-

and University of Bern, Bern, Switzerland

2

Department of Radiation Oncology, Inselspital- Bern

University Hospital- and University of Bern, Bern,

Switzerland

Purpose or Objective

To implement and validate a Monte Carlo (MC) based dose

calculation framework to perform patient-specific quality

assurance (QA) for multi-leaf collimator (MLC) based

CyberKnife treatment plans.

Material and Methods

In order to calculate dose distributions independently

from the treatment planning system (TPS), an

independent dose calculation (IDC) framework was

developed based on the EGSnrc MC transport code. The

framework uses XML-format treatment plan input and

DICOM format patient CT data, an MC beam model using

phase space files, CyberKnife MLC beam modifier

transport using the EGS++ class library, a beam sampling

and coordinate transformation engine and dose scoring

using DOSXYZnrc.

Validation of the framework was performed against dose

profiles of single beams with varying field sizes measured

with a diode detector in a water tank in units of cGy /

monitor unit (MU) and against a two-dimensional dose

distribution of a full treatment plan measured with

Gafchromic EBT3 (Ashland Advanced Materials,

Bridgewater NJ) film in a homogeneous solid water slab

phantom. The film measurement was compared to IDC by

gamma analysis using 1% (global) / 1 mm criteria and a 10%

global low dose threshold.

Finally, the dose distribution of a clinical prostate

treatment plan was calculated and compared to dose

calculated by the TPS finite size pencil beam algorithm by

gamma analysis using either 2% (global) / 2 mm or 1%

(global) / 1 mm criteria and a 10% global low dose

threshold.

Results

Dose profiles calculated with the developed framework in

a homogeneous water phantom agree within 3% or 1 mm

to measurements for all field sizes. 87.1% of all voxels pass

gamma analysis comparing film measurement to

calculated dose. Gamma analysis comparing dose

calculated by the framework to TPS calculated dose for

the clinical prostate plan showed 99.9% passing rate for 2%

/ 2 mm criteria and 85.4% passing rate for 1% / 1 mm,

respectively. Dose differences of up to ±10% were

observed in this case near bony structures or metal

fiducial markers.

Conclusion

An MC based modular IDC framework was successfully

implemented and validated against measurements and is

now available to perform patient-specific QA by

independent dose calculation.

EP-1481 Testing algorithms in water and

heterogeneous medium using experimental designs

S. Dufreneix

1

, A. Barateau

1

, M. Bremaud

1

, C. Di Bartolo

1

,

C. Legrand

1

, J. Mesgouez

1

, D. Autret

1

1

Institut de Cancérologie de l'Ouest, Medical Physics,

Angers, France

Purpose or Objective

The IAEA Tecdoc 1580 and 1583 suggest several beam

configurations for testing, commissioning and ongoing

quality assurance of TPS. However, the large number of

tests makes it difficult to implement and results out of

tolerance are often left unexplained. Experimental

designs are a robust statistical method which minimizes

the number of tests to be performed and provides a

statistical analysis of the results. They were used to

compare computed and measured doses for several

algorithms.

Material and Methods

Tests were chosen using a Taguchi table L36 (2

11

x3

12

) to

enable the quantification of the influence of each

parameter. Five algorithms were studied: the AAA (version

11, Varian) is used in clinical routine and the collapsed-

cone convolution-superposition (CCCS) algorithm (version

1.5, Mobius Medical Systems) is used as a secondary dose

calculation plan check. The AcurosXB (AXB) algorithm

(version 11, Varian) was also investigated as well the

pencil beam (PB) and Monte Carlo (MC) algorithms

available on Iplan (version 4.5, Brainlab). Absorbed dose

was first calculated in water for 72 beams with varying

parameters: energy, MLC, depth, wedge angle, wedge

jaw, X, Y

1

and Y

2

dimensions. Computations were then

conducted for 72 beams in a CIRS Thorax phantom with

varying parameters: energy, wedge angle, wedge jaw, X

and Y dimensions, medium and gantry angle. Calculated

doses were compared to measurements conducted on a

Novalis TrueBeam STx (Varian) with a CC04 ionisation

chamber (IBA).

Results

In water, all algorithms gave a mean difference between

computed and measured doses centred on zero (within the

uncertainty). No studied parameter led to statistically

significant deviation. In the thorax phantom, the mean

difference between computed and measured doses was -

0.7 ± 1.1 % for AAA, -1.4 ± 1.4 % for CCCS, -2.5 ± 1.0 % for

AXB, 2.3 ± 2.2 % for PB and 0.3 ± 1.9 for MC. For AAA and

CCCS, calculations in bone medium led to a statistically

significant underestimation of the computed dose while

the other parameters had no influence on the results. For

MC, calculated dose was overestimated for gantry angle of

225° which was attributed to the modelization of the

treatment table by the TPS.

Conclusion

Experimental designs were used as a statistical method to

validate the AAA, CCCS and MC algorithms. The PB

algorithm was rejected for clinical use because it

overestimates the dose in heterogeneous medium. Results

showed that the AXB algorithm systematically

underestimates the dose in heterogeneous medium which

could be linked to the dose to water - dose to medium

conversion as referred in the literature. Further

investigation is needed before its implementation in

clinical routine, especially for modulated beams. The tests

described by the experimental designs were also used to

define the tolerance levels of the secondary plan check

software and are now part of the ongoing quality

assurance of the TPS

.

EP-1482 Signal Prediction for an On-line Delivery

Verification System

R. Heaton

1

, M. Farrokhkish

1

, G. Wilson

1

, B. Norrlinger

1

,

D.A. Jaffray

1

, M.K. Islam

1

1

Princess Margaret Cancer Centre University Health

Network, Radiation Physics, Toronto, Canada

Purpose or Objective

Dynamic radiation delivery techniques like VMAT

introduce challenges in treatment verification. Complex

treatments, as well as hypofraction and adaptive radiation

therapy, require new verification approaches to ensure

safe delivered. One approach is the introduction of

entrance fluence monitoring device, like the Integral

Quality Monitoring (IQM) System (iRT Germany), which

provides a spatially encoded dose area product signal as a

unique delivery fingerprint. Complementary to this

measurement is the signal calculation based on the

treatment plan. This work describes the calculation for

the IQM system and examines the impact of selected

components on clinical fields.

Material and Methods