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S770

ESTRO 36 2017

_______________________________________________________________________________________________

patients treated for cancer in the head and neck region

showed similar agreement.

Conclusion

The dosimetric accuracy of the presented method for

reconstructing the delivered 3D dose distribution daily

CBCT appears very promising. Further studies are however

required to study the sensitivity to dosimetric changes

from changes in patient anatomy and set-up errors not

accounted for by the CBCT based set-up verification

procedure.

EP-1459 Relative Signal Ratios using an unshielded

silicon detector: data from 30 centers

C. Talamonti

1

, S. Russo

2

, M.D. Falco

3

, A. Bartoli

4

, E.

Cagni

5

, L. Strigari

6

, M. Esposito

2

, F.R. Giglioli

7

, C.

Fiandra

7

, C. Marino

8

, S. Clemente

9

, M. Stasi

10

, E.

Villaggi

11

, P. Mancosu

12

1

University of Florence, Dip Scienze Biomediche

Sperimantali e Cliniche, Firenze, Italy

2

Azienda Sanitaria Firenze, Fisica Sanitaria, Florence,

Italy

3

Policlinico Chieti, Fisica Sanitaria, Chieti, Italy

4

Istituto Nazionale Fisica Nucleare, Sezione di Firenze,

Florence, Italy

5

ArciOspedale Santa Maria Nuova, Fisica Sanitaria,

Reggio Emilia, Italy

6

IFO, Fisica Sanitaria, Roma, Italy

7

Ospedale Molinette, Fiisica Sanitaria, Torino, Italy

8

Humanitas, Fisica Sanitaria, Catania, Italy

9

IRCCS CROB, Fisica Sanitaria, Potenza, Italy

10

Ospedale ordine Mauriziano, Fisica Sanitaria, Torino,

Italy

11

AUSL Piacenza, Fisica Sanitaria, Piacenza, Italy

12

Humanitas, Fisica sanitaria, Milano, Italy

Purpose or Objective

The aim of this study was to provide Relative Signal Ratio

(RSR) values of three Linac models (Elekta, Elekta Synergy

BM and Varian) using measurements performed in a

multicenter Italian study. An eventual mathematical

description of the RSR curve was proposed in order to

calculate RSR for arbitrary field sizes with high accuracy.

Material and Methods

Thirty centres with different LINACs joined this project.

All measurements were performed using the new IBA

unshielded silicon diode RAZOR and the Stealth flat

ionization chamber fixed on the gantry as reference. The

RAZOR was positioned at 10cm depth in water and

SSD=90cm. RSRs were calculated for square field size

ranging 0.6-5.0cm. Data were normalized to the 3x3cm

2

field size. In-plane and cross-plane profile were measured

to correct RSR for the effective field size (EFS).The error

assigned to the experimental points was estimated taking

into account the statistical dispersion of the repeated

measurements and the error introduced on RSR by the

detector positioning uncertainty. Collected data were

clustered by linac model and each group was fitted using

the function proposed by Sauer (Med Phys2007). Moreover

the obtained curves were compared with the one

published by Sauer and Wilbert (SWF) calculated from the

fit to the mean values of four solid state detector data

series of an ELEKTA linac.

Results

The experimental data (blue points) with the fit function

(black line) and the SWF (pink dotted line) are shown in

figure 1 for each linac model. In all cases, It is evident how

the proposed analytical functions fit perfectly to the data

for all field sizes and for all the three linac models

investigated. Deviations from the SWF are shown in the

figure 2. The largest difference of the RSR value respect

to the SWF ones are evident below 2cm of effective field

size. This is mainly due to the different geometry of the

head of the linacs and therefore small changes in the

energy spectrum

Conclusion

In general, the adopted methodology removes much of the

ambiguity in reporting and interpreting small field

dosimetric quantities and facilitates a clear dosimetric

comparison across a population of linacs. Moreover it

minimizes the influence of measurement uncertainties

and it allows accurate determination of values for non-

measured field sizes.

EP-1460 Detection of forced errors in VMAT plans using

EPID and Epiqa dosimetric system

D. Granero

1

, L. Brualla

1

, A. Vicedo

1

, M. Trinitat

1

, J.

Rosello

1

1

Eresa-Hospital General Universitario, Department of

Radiation Physics, Valencia, Spain

Purpose or Objective

VMAT treatments in radiotherapy are verified usually by

an experimental method, such as, measurement in

discrete points with an ionization chamber, radiochromic

film, EPID or other dosimetric systems. In this study we did

an analysis of the error detection capability in treatment

plans of aS1200 EPID of TrueBeam 2.0 linac together with

the Epiqa v4.0.12 dosimetric software from EPIdos. To do

this we have introduced forced errors in the treatment

plans of 5 different VMAT patients in order to test if the

dosimetric system can detect different forced errors

introduced in the treatment plans.

Material and Methods

5 different patients have been selected, a

hypofractionated prostate+vesicles treatment, a

hypofractionated prostate+vesicles+lymph nodes a head

and neck patient, a spine SBRT and finally a treatment of

the paraaortic lymph nodes. Treatment plans were

designed using 1 or 2 complete arcs. We have introduced

forced errors in the Pinnacle treatment plans using excel

home made macros. A total of 160 different plans have

been irradiated with the TrueBeam 2.0 linac and dose has

been measured with the EPID. The errors introduced were: