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S822

ESTRO 36

_______________________________________________________________________________________________

Objective’ optimization tool in Varian Eclipse (v 13.6)

incorporating the Photon Optimizer algorithm (v 13.6.23).

The RA approach currently used in this study implements

two complete arcs to deliver at least 95% of the prescribed

dose to the Planning Target Volume (PTV) while

minimizing dose to the surrounding Organs at Risk (OAR).

In general, RA tends to use fewer MUs per treatment

fraction than Intensity Modulated Radiation Therapy

(IMRT) with an associated reduction in the risk of

secondary induced cancers. The MU Objective tool offers

the possibility to further decrease total Monitor Units

while maintaining clinically acceptable plan quality.

Material and Methods

Thirty clinically approved RA plans (prostate only n=22,

prostate and nodes n=8) were selected for re-optimization

using the MU Objective tool. This tool allows variation of

the Minimum MU, Maximum MU and Strength (S). The ‘S’

parameter weights the optimizer to reach the MU goal

within the defined Min MU and Max MU limits. Based on a

previous study [1], the Min MU was set to 0%, the Max MU

to 50% of the total clinical plan MUs for the non-optimized

RA plan and ‘S’ was set to the maximum value of 100. The

prescribed doses were either 74Gy in 37 Fractions (or 60

in 20), collimator angles were 30

and 330

to minimize

the tongue-and-groove effect, jaw tracking was enabled

and all plans were treated at 6MV and 600 MU/minute

maximum dose rate. The dose/volume objectives for the

PTV and OAR were unchanged. Dose calculations were

performed using the Anisotropic Analytic Algorithm (v

13.6.23) with a calculation grid size of 2.5 mm, taking into

account inhomogeneity correction and disregarding air

cavity correction. To determine the quality of the

absorbed dose distributions resulting from smoothing, the

Paddick Conformity Index (CI

PAD

) and the International

Commission on Radiation Units (ICRU) Homogeneity Index

(HI) were calculated for all plans [2].

CI

PAD

= (TV

PI

)

2

/(PI x TV)

Where PI is the volume of the prescription isodose line

(95%), TV

PI

is the target volume within the PI, and TV is

the target volume.

HI = (D

2%

-D

98%

)/D

50%

Where D

50%

is the dose received by 50% of the target

volume and so on.

Results

The MU Objective tool resulted in a reduction of total

prostate RA plan MUs by approximately 29%. The average

ICRU HI for the prostate patients varied from 0.055 to

0.111 (σ = 0.015, CI: 0.07-0.08). The CI

PAD

varied overall

from 0.617 to 0.860 (σ = 0.067, CI: 0.72-0.78).

Conclusion

The MU Objective tool facilitates the reduction of total

prostate RA plan MUs with PTV coverage and OAR sparing

maintained. A lower total MU number should translate to

lower leakage from the linear accelerator and less scatter

within the

patient.

EP-1530 Validation of RayStation Fallback Planning

dose-mimicking algorithm

L. Bartolucci

1

, M. Robilliard

1

, S. Caneva- Losa

1

, A. Mazal

1

1

Institut Curie, Radiotherapy, Paris, France

Purpose or Objective

To demonstrate with end-to-end tests the ability of

RayStation v5.02 (RaySearch Laboratories AB, Stockholm,

Sweden) fallback planning module (RFP) to perform an

accurate Helical Tomotherapy (HT) to volumetric

modulated arc therapy (VMAT) plan conversion by

validating the dose-mimicking algorithm used during the

automatic optimization of the fallback plans.

Material and Methods

Thirty patient plans of various treatment sites previously

treated with HT were switched to 6 MV dual-arc VMAT

plans using RFP and default dose-mimicking algorithm

parameters. For the purpose of this study no further

optimizations were performed and delivery quality

assurance (DQA) were designed for each fallback plan.

DQA were delivered on a TrueBeam linear accelerator

(Varian Medical Systems, Palo Alto, CA) and

planar/absolute dose measurements were acquired using

the ArcCHECK diode array (Sun Nuclear Corporation,

Melbourne, FL) with an insert containing an Exradin A1SL

ionization chamber (Standard Imaging, Middleton, WI). 3D

dose distributions in the patient geometry were

reconstructed within 3DVH software (Sun Nuclear

Corporation, Melbourne, FL) by using ArcCHECK Planned

Dose Perturbation (ACPDP). Agreement between planned

and delivered dose was eventually evaluated with global

and local 2D/3D gamma-index analysis (3%/3mm and

2%/2mm criteria) and DHV-based comparisons were

performed using the following dosimetric parameters:

quality of coverage (Q=D98%/Dref), mean dose to target

(MDT=Dmean/Dref) and integral dose to organs at risks

(ID_OAR=∑·Di·Vi).