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S279

ESTRO 36 2017

_______________________________________________________________________________________________

Figure 2: Gamma passing rate for the plans (6 MV) with

errors, normalized to the detectability threshold,

measured by SRS, 729 (merged) and 1500 (merged)

dosimeters.

Conclusion

Improving the resolution of the planar detector used for

QA increases the points with gamma<1.

The SRS matrix can detect delivery errors in almost all

cases at 2%L/1mm.

Reference

[1]

G. A. Ezzell et al., 'IMRT commissioning: Multiple

institution planning and dosimetry comparisons, a report

from AAPM Task Group 119,” Med. Phys

36

, 5359 (2009)

.

OC-0532 QA of stereotactic radiotherapy combined

with electromagnetic MLC tracking by a silicon

detector

M. Petasecca

1

, M.K. Newall

1

, M. Duncan

1

, V. Caillet

2

, B.

James

1

, J.T. Booth

2

, M.L.F. Lerch

1

, V. Perevertaylo

3

, P.

Keall

4

, A.B. Rosenfeld

1

1

University of Wollongong, Centre for Medical Radiation

Physics, Wollongong NSW, Australia

2

Royal North Shore Hospital, Northern Sydney Cancer

Centre, Sydney - NSW, Australia

3

SPA-BIT, Microelectronics, Kiev, Ukraine

4

University of Sydney, Radiation Physics Laboratory-

School of Medicine, Sydney - NSW, Australia

Purpose or Objective

Optimisation of treatment delivery based on patient-

specific intra-fractional changes in anatomy is compulsory

in organs affected by breathing or cardiac cycle. MLC

tracking by using electromagnetic transponders implanted

in the tumor is one strategy to adapt the beam shape and

position in real-time. MLC tracking combined with highly

conformal delivery modalities such as SRT has been shown

to be feasible for lung and liver cancer treatment on a

standard linac. QA for such treatments requires

specialised tools with high spatial resolution for accurate

measurement of sharp dose fall-off and high timing

resolution for verification of the interplay of effects

between organ motion and modulation of the irradiation

fields. A dosimetry system for fast verification of the

performance of MLC tracking in SRT is proposed.

Material and Methods

A monolithic 2D silicon detector, known as DUO, has been

developed and comprises 512 pixels each with size

40x800mm

2

and pitch 0.2mm arranged in two linear

orthogonal arrays. The DUO is read out by a multichannel

electrometer synchronised with the linac. For evaluation

of the accuracy and effectiveness of MLC tracking in both

soft tissue and lung, we placed DUO in a solid water

phantom, homogeneous timber phantom and timber

phantom with a solid water spherical hidden target of 1

cm diameter. We installed the phantoms on a moving

platform supplied with a set of patient-specific motion

patterns. The commercial Calypso system provides real-

time position of the target to the MLC software which has

been tested using a predictive and non-predictive tracking

algorithm. We planned the target dose using 3DCRT (a 2

cm diameter field) and IMRT (with 5mm margins)

treatments. Measurements performed by DUO are

compared to EBT3 film for cases with and without motion,

as well as motion with the MLC tracking algorithms

enabled.

Results

Fig.1 shows the comparison of the SUP-INF 3DCRT static

beam profile measured by DUO in the solid water phantom

and the same beam delivered using a patient specific

breathing motion pattern with and without MLC tracking.

The predictive tracking has a lower discrepancy with

respect to the static beam showing a reduction of the

beam misplacement from ±70% to ±12% and ±58% to 20% in

the solid water and timber phantom respectively.

Discrepancies between DUO and EBT3 are within 2.4%

overall. Temporal analysis shows the interplay effects

between beam position and target motion with clear

difference between predictive and non–predictive

algorithms.

Conclusion

It is observed that motion distorts the planned dose profile

in both solid water and lung phantom. MLC tracking

reduces dose smearing significantly as demonstrated by

the no-motion and motion-tracking results. The DUO

detector has proven to be an effective tool for pre-

treatment verification of real-time adaptive stereotactic

deliveries with both high spatial resolution for dose

profiling and high temporal resolution for pulse by pulse

dose reconstruction.

OC-0533 ADAM: a breathing phantom for testing

radiotherapy treatment on moving lesions

S. Pallotta

1

, L. Foggi

1

, S. Calusi

1

, L. Marrazzo

1

, C.

Talamonti

1

, L. Livi

2

, G. Simontacchi

2

, R. Lisci

3

1

University of Florence, Department of Medical Physics,

Firenze, Italy

2

University of Florence, Department of Radiotherapy,

Firenze, Italy

3

University of Florence, Department of Agricultural-

Food and Forestry System, Firenze, Italy

Purpose or Objective

Dose delivery to moving targets can be approached

following different strategies. For stereotactic

radiotherapy treatments motion-encompassing methods,

respiratory-gating

techniques

and

respiration-

synchronized techniques permit the treatment during

lesions motion using different dose planning/delivering

solutions. In all cases the complexity of the proposed

methods needs the development of solutions for accurate

Quality Assurance tests as stated also by AAPM TG76. For

this purpose we developed a new phantom: ADAM

(Anthropomorphic Dynamic breAthing Model), capable of

simulating realistic patient movements. The phantom and

some preliminary tests showing ADAM performances are

here presented.

Material and Methods

ADAM is a 3D printed anthropomorphic phantom created

using a real patient CT data. The central portion of the