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RapidPlan models for prostate radiotherapy treatment planning with 10-MV photon beams

Published online by Cambridge University Press:  12 October 2022

Francesco Pupillo Open the ORCID record for Francesco Pupillo [Opens in a new window] ,
Maria Antonietta Piliero Open the ORCID record for Maria Antonietta Piliero [Opens in a new window] ,
Margherita Casiraghi ,
Luca Bellesi Open the ORCID record for Luca Bellesi [Opens in a new window]  and
Stefano Presilla Open the ORCID record for Stefano Presilla [Opens in a new window]
Francesco Pupillo*
Affiliation:
Medical Physics Division, Imaging Institute of Southern Switzerland, Ente Ospedaliero Cantonale, 6500 Bellinzona, Switzerland
Maria Antonietta Piliero
Affiliation:
Medical Physics Division, Imaging Institute of Southern Switzerland, Ente Ospedaliero Cantonale, 6500 Bellinzona, Switzerland
Margherita Casiraghi
Affiliation:
Medical Physics Division, Imaging Institute of Southern Switzerland, Ente Ospedaliero Cantonale, 6500 Bellinzona, Switzerland
Luca Bellesi
Affiliation:
Medical Physics Division, Imaging Institute of Southern Switzerland, Ente Ospedaliero Cantonale, 6500 Bellinzona, Switzerland
Stefano Presilla
Affiliation:
Medical Physics Division, Imaging Institute of Southern Switzerland, Ente Ospedaliero Cantonale, 6500 Bellinzona, Switzerland
*
Author for correspondence: Dr Francesco Pupillo, Medical Physics Division, Imaging Institute of Southern Switzerland, Ente Ospedaliero Cantonale, Via A. Gallino 12, 6500 Bellinzona, Switzerland. E-mail: francesco.pupillo@eoc.ch
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Abstract

Introduction:

The RapidPlan is a radiotherapy planning tool that uses a dataset of approved plans to predict the dose distribution and automatically generates the dose–volume constraints for optimisation of the new plan. This study compares three strategies of model building for the treatment of prostate cancer with the 10-MV photon beam.

Methods:

Three models for prostate treatment were compared: Model 6X, Model10X and Model6Xrefined. Model6X is already used in our department and was trained on treatment plans based on the 6-MV photon beam. Model10X was trained on treatment plans based on the 10-MV photon beam and manually optimised by an experienced medical physicist. Finally, Model6Xrefined was trained on plans automatically created by the Model6X, but using the 10-MV photon beam. The three models were used to generate 25 new plans with the 10-MV photon beam.

Results:

Model10X generated plans with 2 Gy lower mean dose to bladder-PTV and rectum-PTV volumes and 8% lower V15Gy at bladder and rectum volumes, although the number of monitor units increased by 170 on average.

Conclusions:

The model trained on manually optimised plans generated plans with higher normal tissue sparing. However, model building is a time-consuming process, so a cost–benefit balance should be performed.

Keywords

Knowledge-based planningProstate radiotherapyRapid PlanVMAT
Type
Original Article
Information
Journal of Radiotherapy in Practice , Volume 22 , 2023 , e56
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Copyright
© The Author(s), 2022. Published by Cambridge University Press

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Footnotes

†

Equally contributed to this work and should be considered as co-first authors.

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