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S419

ESTRO 36 2017

_______________________________________________________________________________________________

Conclusion

We developed a fast end-to-end test for stereotactic

radiation therapy with the ArcCHECK phantom which

minimizes user influences for high reproducibility and was

easily included into clinical routine. It compares the dose

distribution on a helical diode array and a cumulative

central dose with the doses from the treatment planning

system. By additionally comparing each of the over 1300

diode values to a corresponding average dose derived from

previous measurements, the method simultaneously

serves as a constancy test of all involved components and

is able to reliably detect a vast variety of even very small

errors.

PO-0795 Comparison of Service graph log and Dynamic

linac log of Elekta Linacs for patient QA.

M. Kowatsch

1

, M. Meinschad

1

, G. Leitold

1

, P.

Szeverinski

1

, T. Künzler

1

1

LKH Feldkirch, Institut of Medical Physics, Feldkirch,

Austria

Purpose or Objective

The complexity of intensity modulated radiation therapies

(IMAT, IMRT) requires patient specific pretreatment

verification of calculated dose distributions which is time

consuming. Elekta linacs provide 2 different log files. One

is the Service graph (SG) with a resolution of 4 Hz and is

directly accessible through the service mode on the linac.

The second one is the Dynamic linac log (DLL) with a

resolution of 25 Hz. The aim of this study is to compare

both types of log files for dose recalculation with Monte

Carlo and beam statistics for an Elekta Synergy linac with

Agility MLC (Elekta, Crawley).

Material and Methods

To compare the log files 2 head & neck, a mamma left

side, an abdomen with simultaneous integrated boost, a

thoracic spine with 3 dose levels and 1 brain case were

chosen. Different parameters like leaf travel (LT), the sum

of travel of all leaves between the open jaws, leaf speed

(LS), leaf position (LP) and modulation complexity score

(MCS) (Masi, Med. Phys. 40, 071718, 2013) were compared

between the SG and the DLL. The DICOM RT file was used

as reference for comparing LT and MCS. Furthermore log

files were converted with an in-house Matlab script to .tel

files to recalculate the irradiated plans with Monaco 5.0

TPS (Elekta, Crawley). For recalculation a grid size of 3mm

and an uncertainty of 1% per control point were used

resulting in a final uncertainty of roughly 0.1%. Isodose and

DVH comparison were performed to evaluate equality of

recalculated and originally calculated plans.

Results

The difference for leaf travel between SG and DLL to the

Dicom-RT file was between -9.5% to 2.7% and -0.4% to

6.2%, respectively and between SG and DLL from -2.8 to -

11.3%. The differences of the MCI between the two log

files was -0.4% to 0.3% and up to 20% compared to the

DICOM file (see Table 1). The difference of 20% for plan 6

originates from the definition of LT. In this case, 2 beams

with 2 arcs were evaluated. For SG and DLL all beams were

evaluated as a single beam, the Dicom RT files were

evaluated beam-by-beam. The maximum LT for a

particular leaf between 2 control points (CP) showed big

discrepancies and was in one case 20.1 mm for the SG and

32.6 mm for the DLL. The differences originate from

writing errors between CPs in the SG and these errors are

still inexplicable.Random dose errors in DVH up to +-0.5

Gy can be seen by recalculation of both log files for the

entire plan. For linac parameter statistics (LT, LS, LP) the

SG cannot be used because of random writing errors.

Conclusion

Both file types are accurate for dose recalculation. The 4

Hz resolution and writing errors of the Servicegraph log

are limiting a robust statistical analysis of linac

parameters. Dynamic linac logs allow for dose

recalculation and for a more detailed statistical analysis

of the linac. Both types of log files can be taken for patient

QA to decrease the workload of measurements and for

recalculation of delivered dose to the planning CT.

PO-0796 Optimisation of plan robustness to sinus filling

in a magnetic field.

A. Pollitt

1

, R. ChuteR

1

, P. Whitehurst

1

, R. MacKay

1

, M.

Van Herk

2

, A. McWilliam

2

1

Christie Hospital NHS, Radiotherapy, Manchester,

United Kingdom

2

University of Manchester, Division of Molecular and

Clinical Cancer Science, Manchester, United Kingdom

Purpose or Objective

The MR Linac (Elekta AB, Stockholm, Sweden) will provide

on-treatment MR imaging allowing for excellent soft tissue

imaging. Such a machine will become an integral part of

the drive towards daily online adaptive radiotherapy.

However, the presence of the magnetic field results in the

Lorentz force and will cause an increase or decrease in

dose to superficial tissues (Raaijmakers et al. 2007). This

is particularly pertinent for sinus cancers, of which 60%

are squamous cell carcinoma’s and primarily on the

surface layer of the nasal cavity. Recent studies (Bol et al

2015, Uilkema et al. 2015) have been performed to

determine the effect of the Lorentz force on low density

cavities in the body. This abstract aims to investigate the

effect of the magnetic field on plan quality and

optimisation for varying sinus filling and emptying states.

Material and Methods

Ten patients with PTV’s overlapping the sinus cavity were

selected from the clinical archive. For each patient four

plans were optimised at 60Gy in 30 fractions, 2 with no B-

field and 2 with the 1.5T B-field present. For each, 1 plan

assumed full sinuses with the volume overridden to 1gcm

-

3

and the other assumed empty sinuses with the volume

overridden to 0gcm

-3

. All plans were created using Monaco

(v5.19.07, Elekta AB Stockholm, Sweden) and met the

departmental constraints for Target and OAR doses. To

investigate the effect of a change in sinus filling, plans

were recalculated on their opposite filling state, i.e plan

optimised on a full sinus was recalculated on an empty

sinus. The difference in dose between the two plans for

target coverage and OARs was calculated. This comparison

will determine the magnitude of the effects from sinus

filling in each scenario. Investigating the range of dose

differences will provide information on how to optimise

these plans to minimise the effect of the Lorentz force.

Results

The change in dose to the Target for the different filling

and magnetic field combinations can be seen in Figure 1.

Several of the dose differences for plans optimized on an

empty cavity, for both with and without B-field show a

shift of the mean of the distribution which is greater than

2% (considered potentially clinically significant). i.e. mean

Dose = 2.36%; V

50%

= 2.26%; V

5%

= 3.12%; V

2%

= 3.21%. An

OAR which also saw a difference greater than 2% was the

Brainstem PRV 1cc max = 2.16 %.