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S815

ESTRO 36

_______________________________________________________________________________________________

ensured for the scattering and to mimic the TPS treatment

planning. The result shows that, the total neutron dose

increases as the field size increases from 10 x 10 cm

2

to 20

x 20 cm

2

and for 40 x 40 cm

2

. The photo neutron

measurements using activation foils for Omni wedged

fields in Elekta LINAC is uniquely studied. The irradiation

time of about 20 min were taken to deliver 50 Gy at Dmax

with the dose rate of 640 Mu/min. Wedged fields were

defined for a field size of 30 x 30 cm

2

and the wedge used

for each set of measurements are 15°, 30° and 60°. The

fast neutron dose decreases and thermal neutron dose

increases with wedge angles from 15°, 30° and 60°. Open

beam gives the highest fast neutron dose and the lowest

thermal neutron dose.

Conclusion

Insensitivity nature of activation foils for gamma/photons

and the possibility of absolute measurements using the

primary quantity of nuclear reaction cross-section makes

activation foil best suited for photon induced neutron

measurement. The present results indicate that the total

neutron dose represents a small contribution to the

therapeutic photon dose, meaning that it is much smaller

than 1% of the photon dose delivered to the patient.

However, the amount of this extra dose in the vicinity of

the patient position cannot be neglected in view of

radiological protection assessment related to the patients.

Electronic Poster: Physics track: Treatment plan

optimatisation: algorithms

EP-1519 Implementation of a hybrid superfast Monte

Carlo-Pencil beam dose optimizer for proton therapy

A.M. Barragán Montero

1

, K. Souris

1

, D. Sánchez-

Parcerisa

2

, A. Carabe-Fernández

3

, J.A. Lee

1

, E. Sterpin

1,4

1

Université Catholique de Louvain- Institute of

Experimental & Clinical Research, Molecular Imaging-

Radiotherapy and Oncology MIRO, Brussels, Belgium

2

Universidad Complutense de Madrid, Departamento de

Física Atómica- Molecular y Nuclear, Madrid, Spain

3

Hospital of the University of Pennsylvania, Department

of Radiation Oncology, Philadelphia, USA

4

KU Leuven - University of Leuven, Department of

Oncology, Leuven, Belgium

Purpose or Objective

Monte Carlo (MC) dose calculation plays an important role

in treatment planning for proton therapy due to the

limited accuracy of analytical algorithms, especially in

very heterogeneous tumor sites. The new dedicated MC

engines for pencil beam scanning (PBS) achieve reduced

computation times for a single dose calculation. However,

computing spot-per-spot doses is still very time-

consuming, since typically 10000 to 20000 spots are

needed. The presented strategy combines the speed of

analytical algorithms and the accuracy of MC to get the

best outcome for PBS treatment planning in a reasonable

amount of time for clinical practice.

Material and Methods

An in-house treatment planning system was used to create

the plans. The optimizer combines the analytical pencil

beam (PB) algorithm in

FoCa

(Sánchez-Parcerisa et al.

Phys Med Biol 2014) and the super-fast Monte Carlo engine

MCsquare

(Souris et al. Med Phys 2016) able to compute a

final dose in less than 1 minute.

The hybrid optimization strategy calculates the optimal

spot weights (

w

) using the analytical beamlets matrix (

P

PB

)

and a correction term

C

. After a first optimization where

C

= 0, the method alternates optimization of

w

using

P

PB

with updates of

C = D

MC

D

PB

, where

D

MC

results from a

regular MC computation (using 10

8

protons to ensure good

statistical accuracy) and

D

PB

= P

PB

* w

. Updates of C can be

triggered as often as necessary by running the MC engine

with the last corrected values of

w

as input.

The performance of the method is illustrated on two

extreme cases: prostate (relatively easy case) and lung

(considered to be complex due to the high heterogeneity).

For simplicity, we created PTV-based plans but the

findings can be equally applied to robust optimized plans.

Results

For the prostate case, the recomputed MC dose after

initial optimization (

C

=0, before correction) revealed a

decreased target coverage (D95=90% of the prescribed

dose, D

p

) that improved significantly after just one

correction (D95

corrected

=97%D

p

).

For the lung case, the difference between MC and PB doses

before correction was very large: D95=63%D

p

and

D5=137%D

p

. But still the hybrid strategy was able to

partially improve target coverage (D95

corrected

= 84%D

p

) as

well as reducing overdose (D5

corrected

= 111%D

p

), after two

updates of C.

In both cases, further corrections did not lead to better

results.

The results proved that the hybrid method allows us to

improve dose accuracy even for very complicated cases as

lung tumors. However, the success of the correction is

limited by the order of magnitude of the term C, i.e, very

large difference between MC and PB doses are only

partially corrected.