AI Article Synopsis
- RapidPlan (RP) is a knowledge-based planning system designed to enhance the quality and efficiency of radiotherapy planning, although its implementation does pose challenges in model training and departmental integration.
- A review of a 7-month period showed RP created clinically acceptable plans for 87.2% of eligible patients, with some models achieving success rates over 90% and a significant reduction in planning time—up to 95% faster than manual planning.
- Ultimately, despite a demanding initial setup, RP has proved to be an effective tool in clinical practice, delivering comparable or better plan quality and remarkable efficiency improvements.
Article Abstract
Introduction: RapidPlan (RP), a knowledge-based planning system, aims to consistently improve plan quality and efficiency in radiotherapy. During the early stages of implementation, some of the challenges include knowing how to optimally train a model and how to integrate RP into a department. We discuss our experience with the implementation of RP into our institution.
Methods: We reviewed all patients planned using RP over a 7-month period following inception in our department. Our primary outcome was clinically acceptable plans (used for treatment) with secondary outcomes including model performance and a comparison of efficiency and plan quality between RP and manual planning (MP).
Results: Between November 2017 and May 2018, 496 patients were simulated, of which 217 (43.8%) had an available model. RP successfully created a clinically acceptable plan in 87.2% of eligible patients. The individual success of the 24 models ranged from 50% to 100%, with more than 90% success in 15 (62.5%) of the models. In 40% of plans, success was achieved on the 1st optimisation. The overall planning time with RP was reduced by up to 95% compared with MP times. The quality of the RP plans was at least equivalent to historical MP plans in terms of target coverage and organ at risk constraints.
Conclusion: While initially time-consuming and resource-intensive to implement, plans optimised with RP demonstrate clinically acceptable plan quality, while significantly improving the efficiency of a department, suggesting RP and its application is a highly effective tool in clinical practice.
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|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7754012 | PMC |
| http://dx.doi.org/10.1002/jmrs.420 | DOI Listing |
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