Multi-institutional evaluation of a Pareto navigation guided automated radiotherapy planning solution for prostate cancer

Multi-institutional evaluation of a Pareto navigation guided automated radiotherapy planning solution for prostate cancer

Abstract Background Current automated planning solutions are calibrated using trial and error or machine learning on historical datasets. Neither method allows for the intuitive exploration of differing trade-off options during calibration, which may aid in ensuring automated solutions align with cl...

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Bibliographic Details
Main Authors: Philip A Wheeler, Nicholas S West, Richard Powis, Rhydian Maggs, Michael Chu, Rachel A Pearson, Nick Willis, Bartlomiej Kurec, Katie L. Reed, David G. Lewis, John Staffurth, Emiliano Spezi, Anthony E. Millin
Format: Article
Language:English
Published: BMC 2024-04-01
Series:Radiation Oncology
Subjects:
VMAT
IMRT
Automation
Treatment planning
Prostate cancer
Multi-institutional
Online Access:https://doi.org/10.1186/s13014-024-02404-x

Internet

https://doi.org/10.1186/s13014-024-02404-x

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