ESTRO 2024 - Abstract Book

S4516

Physics - Machine learning models and clinical applications

ESTRO 2024

Conclusion:

We introduced OAR sensitivity envelopes to guide the adjustment and review process of contours for the creation of radiotherapy treatment plans. These envelopes help to focus attention on those parts of the contours that are most important for the treatment plan and could facilitate the introduction of AI in clinical practice and speed up online adaptive radiotherapy.

Keywords: Contour review, Pareto Front, Workflow improvement

References:

[1] van der Bijl E., Wang Y., Janssen T.M., Petit S.F. (2020). Predicting patient specific Pareto fronts from patient anatomy only. Radiotherapy and Oncology. 150:46-50; https://doi.org/10.1016/j.radonc.2020.05.050

[2] Wang Y., Breedveld S., Heijmen B.J.M., Petit S.F. (2016). Evaluation of plan quality assurance models for prostate cancer patients based on fully automatically generated Pareto-optimal treatment plans. Phys Med Biol. 61:4268-4282; https://doi.org/10.1088/0031-9155/61/11/4268