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S867

ESTRO 36 2017

_______________________________________________________________________________________________

Physics, Sydney-New South Wales, Australia

4

University of Sydney, Institute of Medical Physics,

Sydney-New South Wales, Australia

5

University of New South Wales, South Western Sydney

Clinical School, Sydney- New South Wales, Australia

6

Liverpool and Macarthur Cancer Therapy Centres,

Department of Medical Physics, Sydney-New South

Wales, Australia

7

Liverpool and Macarthur Cancer Therapy Centres and

Ingham Institute, Department of Mediical Physics,

Sydney-New South Wales, Australia

8

University of New South Wales, South Western Sydney

Clinical School, Sydney-New South Wales, Australia

9

Liverpool and Macarthur Cancer Therapy Centres and

Ingham Institute, Department of Radiation Oncology,

Sydney-New South Wales, Australia

10

Liverpool and Macarthur Cancer Therapy Centres,

Department of Radiation Oncology, Sydney-New South

Wales, Australia

11

Liverpool and Macarthur Cancer Therapy Centres and

Ingham Institute, Clinical Trials, Sydney-New South

Wales, Australia

Purpose or Objective

Stereotactic Body Radiation Therapy (SBRT) requires

accurate positioning of the target volume during

treatment delivery. In this work we present our initial

clinical experience and achieved dosimetric accuracy

using an in-house developed position monitoring system,

SeedTracker, for prostate SBRT.

Material and Methods

A software tool, SeedTracker, was developed in-house to

perform real time position verification of prostate markers

during SBRT. SeedTracker, in conjunction with the Elekta

XVI system, reads the monoscopic images acquired during

treatment and calculates the position of the prostate by

auto segmenting the radiopaque markers implanted in it.

The accurate performance of the SeedTracker was

validated using static and dynamic studies utilising the

phantoms implanted with gold seeds. The system also has

variable angle stereo image reconstruction functionality

for the rapid determination of 3D offsets and position

correction of patients in the situations where intrafraction

motion is observed during treatment.SeedTracker was

utilized for real time monitoring of prostate position for

patients undergoing stereotactic boost treatment within

the PROMETHEUS trial (UTN: U1111-1167-2997) in Sydney

South West Local Health District, Australia. The necessary

ethical and legal approvals were obtained from the local

health district Human Research Ethics Committee

Research Governance Office and Therapeutic Goods

Administration, Department of Health, Australian

Government before its clinical implementation.The

dosimetric accuracy achieved by the utilization of

SeedTracker was studied by incorporating the observed

position offsets in the planned dose.

Results

The performance evaluation study of SeedTracker showed

that the system demonstrated a minimum True Positive

Rate of 88% in studied static and dynamic scenarios with

mean (σ) difference of 0.2(0.5) mm in calculated position

accuracy. At the time of writing this abstract SeedTracker

had been utilized for the real time position monitoring of

twenty six patients’ SBRT treatment (consisting of twenty

two treatment sessions). Eleven occurrences of position

deviations outside the acceptable tolerance limits (3mm)

were observed that led to treatment interruption and

position correction of the patient. The retrospective dose

reconstruction study showed that the V98 to prostate

would have decreased by a maximum 20% compared to the

planned V98 if real time position monitoring had not been

performed and position corrections were not undertaken.

The stereo image based position correction available in

SeedTracker was shown to be minimum 2 mins faster than

the conventional orthogonal image based approach.

Conclusion

The SeedTracker system has been shown to enable the

accurate real time position monitoring and position

corrections during prostate SBRT. The occurance of real

position deviations during dose delivery was identified by

the SeedTracker leading to improved accuracy of dose

delivery to the prostate.

EP-1624 Respiratory gating of an Elekta linac using a

Microsoft Kinect v2 system

D. Edmunds

1

, K. Tang

2

, R. Symonds-Tayler

3

, E. Donovan

1

1

The Royal Marsden NHS Foundation Trust, Physics,

Sutton, United Kingdom

2

University of Surrey, Physics, Guildford, United

Kingdom

3

Institute of Cancer Research, Physics, Sutton, United

Kingdom

Purpose or Objective

To investigate whether it is possible to gate radiation

delivery from an Elekta linac, using a commercial off-the-

shelf (COTS) depth sensor, based on data acquired from

patients in a clinical study. The goal of this work is to

achieve real time breath-hold monitoring and gating for

voluntary breath-hold (VBH) treatments for breast cancer

patients.

Material and Methods

Six participants from the UK HeartSpare trial who had

received left breast radiotherapy while performing VBH

were recruited for this study. The patients were set up on

an Elekta Synergy in a radiotherapy treatment room

exactly as in their original treatment. They then

performed a sequence of 3 breath holds for a period of

approximately 20 seconds each, during a simulated whole

breast treatment with both lateral and medial beams, plus

a VMAT delivery. A Microsoft Kinect Version 2 (Kinect v2)

commodity depth sensor was used to record breathing

traces during this time.

These breathing traces were then used as input to a

programmable motion platform carrying a solid water

phantom placed on the treatment couch, which was

monitored with a Kinect v2. In-house C++ software (see

Fig. 1) was used to set a gating threshold, and when the

phantom moved outside of this threshold, radiation

delivery was paused via signals sent through a fibre optic

connection to the linac’s gating interface. Radiation dose

was verified using a calibrated ionisation chamber and

electrometer, with the chamber positioned inside the

phantom. A dose measurement was performed for a 200

MU radiation delivery, both with and without gating in

place.

Figure 1: Screenshot of in-house C++ Kinect v2 software,

showing a depth image from the camera. The solid water

phantom and linac head can be seen in the centre of the

image. A region of interest (ROI) is drawn as a white

rectangle, and the mean distance of pixels in the ROI is

calculated at 60 Hz. Gating threshold can be set with

software controls (top left), and a control signal is