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Benchmarking daily adaptation using fully automated radiotherapy treatment plan optimization for rectal cancer.

Thyrza Z Jagt ,
Tomas M Janssen ,
Anja Betgen ,
Lisa Wiersema ,
Rick Verhage ,
Sanne Garritsen ,
Tineke Vijlbrief-Bosman ,
Peter de Ruiter ,
Peter Remeijer ,
Corrie A M Marijnen ,
Femke P Peters ,
Jan-Jakob Sonke

Abstract

MATERIALS/METHODS

For fifteen rectal cancer patients, automated treatment planning was used to generate plans mimicking manual reference plans on the planning scans. For 74 fraction scans (4-5 per patient) an automated plan and a daily adapted plan were generated, where the latter re-optimizes the reference plan objectives without any tweaking. To evaluate the robustness of the daily adaptation, the adapted plans were compared to the autoplanning plans.

CONCLUSION

Automated treatment planning can be used to benchmark daily adaptation techniques. The investigated adaptation workflow can robustly perform high quality adaptations without daily adjusting of the patient-specific planning objectives for rectal cancer radiotherapy.

RESULTS

Median differences between the autoplanning plans on the planning scans and the reference plans were between -1 and 0.2 Gy. The largest interquartile range (1 Gy) was seen for the Lumbar Skin D2%. For the daily scans the PTV D2% and D98% differences between autoplanning and adapted plans were within ± 0.7 Gy, with mean differences within ± 0.3 Gy. Positive differences indicate higher values were obtained using autoplanning. For the Bowelarea + Bladder and the Lumbar Skin the D2% and Dmean differences were all within ± 2.6 Gy, with mean differences between -0.9 and 0.1 Gy.

BACKGROUND/PURPOSE

In daily plan adaptation the radiotherapy treatment plan is adjusted just prior to delivery. A simple approach is taking the planning objectives of the reference plan and directly applying these in re-optimization. Here we present a tested method to verify whether daily adaptation without tweaking of the objectives can maintain the plan quality throughout treatment.

More about this publication

Physics and imaging in radiation oncology

Volume 24
Pages 7-13
Publication date 01-10-2022

Full text links

Publisher website (DOI) 10.1016/j.phro.2022.08.006
Europe PubMed Central 36092772
Pubmed 36092772

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