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S256

ESTRO 36

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involved, baseline shifts of such nodes relative to the

primary tumor can range up to cm’s. Therefore, setup is

often based on bony anatomy using generous planning

margins for the primary tumor and LN. We present an

adaptive strategy to reduce these margins for the primary

tumor.

Material and Methods

In a previous retrospective study in 20 stage III NSCLC

patients we found that a separation into ‘movers’ and

‘non-movers’ is useful. Patients with an average baseline

shift < 3 mm in the first 3 fractions were deemed ‘non-

movers’. Dosimetric analysis of tumor coverage over the

entire treatment (evaluated on 8 CBCTs per patient)

showed that a 6 mm ITV-PTV margin for the primary tumor

was adequate for these non-movers (in contrast to the 1

cm margin applied clinically). In the present study, we

prospectively applied this selective margin reduction

method. Two plans were prepared with 6 respectively 10

mm ITV-PTV margin. All patients started with the 10 mm

plan. Baseline shifts of the primary tumor were

determined with CBCT dual registration (XVI, Elekta) using

a clipbox match on nearby bony anatomy (often vertebrae)

and a simultaneous mask match on the tumor region. This

registration was performed by RTTs in routine clinical

practice. The results of the clipbox matches were used in

an eNAL offline setup correction protocol. If, after 3

fractions, a patient was classified as a non-mover, the 6

mm plan was applied in subsequent fractions. Next, each

3

rd

or 5

th

fraction (for 25 respectively 33 fractions) was

imaged to monitor the average baseline shift over the last

3 imaged fractions. If the latter average baseline shift

exceeded 3 mm, a switch back to the 1 cm plan would be

made.

Results

21 stage III NSCLC patients, treated with curative intent,

were included to date. 14 patients (67%, consistent with a

prediction of 70%) were found to be non-movers and

switched to a plan with 6 mm margin for the remainder of

the treatment. Follow-up imaging showed that all these

patients remained non-movers: their average baseline

shift over the entire treatment remained < 3 mm (3D

vectorlength) in all cases. Although highly patient

dependent, the margin reduction decreased OAR dose

significantly. For instance, the average V20Gy was

reduced from 15.0 to 13.4 Gy and the mean heart dose

from

12.2

to

10.0

Gy.

Conclusion

We have developed and clinically applied a practical

adaptive method for planning margin reduction in non-

stereotactic treatment of lung cancer. This method allows

for smaller margins in approximately 70% of patients.

OC-0484 Variability of breathing-induced tumour

motion: 4DCT – a source of misguiding information?

J. Dhont

1

, D. Verellen

2

, M. Burghelea

1

, R. Van Den

Begin

1

, K. Tournel

1

, T. Gevaert

1

, B. Engels

1

, C. Collen

1

,

C. Jaudet

1

, M. Boussaer

1

, T. Reynders

1

, G. Storme

1

, M. De

Ridder

1

1

Universitair Ziekenhuis Brussel, Radiotherapy Medical

Physics, Brussels, Belgium

2

GZA Ziekenhuizen- Sint Augustinus - Iridium

Kankernetwerk Antwerpen, Radiotherapy Medical

Physics, Antwerpen, Belgium

Purpose or Objective

The purpose of this study was to evaluate both the short

and long-term variability of breathing-induced tumour

motion. In addition, it was investigated whether 4DCT is a

reliable source to represent the tumour motion during the

entire course of treatment.

Material and Methods

3D tumour motion was evaluated for 22 patients treated

with SBRT for either primary NSCLC (6/22, 4x12Gy, 2

weeks), metastatic lung lesions (9/22, 10x5Gy, 2 weeks)

or metastatic liver lesions (7/22, 10x5Gy, 2 weeks).

Treatment was delivered with dynamic tracking (DT) on

the Vero SBRT system, requiring a gold fiducial implanted

near the target.

With DT, a 20 s orthogonal fast fluoroscopy (FF) sequence

is acquired before each fraction. Additional sequences are

taken if the breathing motion changes. As such, for each

patient at least one set of X-ray images is available per

fraction from which the 3D tumour motion can be

extracted using the implanted marker. If multiple FF

sequences were available per fraction, the tumour motion

was obtained for each sequence independently.

To evaluate the short-term intra-fractional variability, the

amplitude, tumour position at maximum exhale (r0) and

hysteresis (ie. 3D distance between the tumour position at

mid-inhale and -exhale) were compared between

different FF sequences from the same fraction. To assess

long-term variability, amplitude and hysteresis were

compared between fractions and with the 3D tumour

motion registered by the pre-treatment 4D planning CT

(free-breathing, using RPM (Varian) and amplitude-based

binning in 10 phases, Siemens Somatom Definition AS, 2

mm slices).

Results

Based on r0 , 10 patients showed an intra-fractional

baseline drift of more than 5 mm, in one or more

directions, in 50% or more fractions. For all patients, intra-

fractional differences in amplitude were not statistically

significant (p > 0,05). An example of intra-fractional

variability is shown in Fig 1.

In terms of long-term variability, for 11 patients the

difference in mean amplitude between at least 2 fractions

or a fraction and 4DCT is statistically significant (p < 0,05).

Fig 2 shows the mean amplitude per fraction per patient,

together with the amplitude based on 4DCT.

Both intra- and inter-fractional changes in hysteresis were

smaller than 5 mm for all patients. No correlation could

be found between long or short-term variability and

tumour size or location.