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S232

ESTRO 36 2017

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Purpose or Objective

In the Netherlands, a subgroup of patients eligible for

proton therapy will be selected using the model-based

approach. So far, patients were selected by comparing

robustly optimized proton plans to non-robustly optimized

photon plans. However, using non-robust optimization for

photon plans may not explore the full potential of this

technique, possibly leading to an unfair comparison. The

main objective of this study was to investigate the benefit

of robust optimization for head and neck using photon

techniques.

Material and Methods

A cohort of nine head and neck cancer patients clinically

treated with VMAT were included. Their non-robustly

optimized (i.e. PTV-based) VMAT plans were copied and

their objectives were altered to create robustly optimized

(i.e. CTV-based) VMAT plans. Plans were re-optimized

with worst case robust objectives for the targets. Hence,

the actual given dose was estimated by calculating the

dose on 35 daily cone beam CT (CBCT) scans after position

correction, deforming the dose distributions to the

planning CT and summing doses from all fractions. All

estimated actual given dose distributions were inspected

and approved by a physician with experience in head and

neck radiotherapy. Treatment plan quality was evaluated

using dosimetric parameters and normal tissue

complication probability (NTCP) values using previously

published models for tube feeding dependence, grade 2-4

dysphagia, xerostomia and sticky saliva, 6 months after

treatment.

Results

Robustly optimised plans resulted in a lower actual given

dose estimation for all organs at risk (figure 1). The

difference in dose distribution and dose volume

histograms of a typical case are displayed in figure 2. The

average NTCP values were lower for the robustly

optimized plans by 0.5% (p = 0.07) for tube feeding

dependence, 1.8% (p = 0.04) for dysphagia, 3.0% (p = 0.01)

for xerostomia and 1.1% (p = 0.02) for sticky saliva.

Moreover, target dose conformity slightly improved using

robustly optimized VMAT optimization.

Conclusion

Robust CTV-based VMAT optimization in head and neck

patients resulted in improved estimated actual given dose

distributions with lower normal tissue dose and equal

target coverage compared to non-robustly optimized

plans. This is the first study to compare robustly optimized

photon plans to non-robustly optimized photon plans in

terms of dose accumulation using daily CBCT images. The

differences in dose are deemed clinically relevant and are

expected to lead to an improved method of patient

selection for proton therapy.