ESTRO 2025 - Abstract Book

S2747

Physics - Dose prediction, optimisation and applications of photon and electron planning

ESTRO 2025

In this case, both iMCS and LTi scores are lower than the historical averages, and metrics at specific control points (shown as red dots) fall outside the baseline range. The model’s predictive accuracy was tested using plans with artificially increased complexity, successfully identifying warnings in over 90% of cases.

Conclusion:

We have introduced a user-friendly, quantitative assessment tool for two high-volume treatment sites. This dashboard allows planners to complement dosimetric quality assessments from ProKnow and enables physicists to quantitatively compare new plans against historical distributions.

Keywords: Complexity metrics, plan evaluator, deliverability

References: Victor Hernandez, Jordi Saez, Marlies Pasler, Diego Jurado-Bruggeman, Nuria Jornet. Comparison of complexity metrics for multi-institutional evaluations of treatment plans in radiotherapy, Phys Imaging Radiat Oncol 2018 Feb 22:5:37-43. Masi L, Doro R, Favuzza V, Cipressi S, Livi L. Impact of plan parameters on the dosimetric accuracy of volumetric modulated arc therapy. Med Phys 2013;40(7):071718. Chiavassa S, Bessieres I, Edouard M, Mathot M, Moignier A. Complexity metrics for IMRT and VMAT plans: a review

of current literature and applications. Br J Radiol 2019; 92: 20190270. Python Software Foundation. Python Language Reference, version 3.7.