Literature DB >> 36063348

A comparison of in-house and shared RapidPlan models for prostate radiation therapy planning.

E Claridge Mackonis1,2, J Sykes3,4, N Hardcastle5,4, A Espinoza3, A Brown6, G Perez7, B Evans8, H Sheehan8, A Haworth4.   

Abstract

Knowledge-based planning (KBP) can increase plan quality, consistency and efficiency. In this study, we assess the success of a using a publicly available KBP model compared with developing an in-house model for prostate cancer radiotherapy using a single, commercially available treatment planning system based on the ability of the model to achieve the centre's planning goals. Two radiation oncology centres each created a prostate cancer KBP model using the Eclipse RapidPlan software. These two models and a third publicly-available, shared model were tested at three centres in a retrospective planning study. The publicly-available model achieved lower rectum doses than the other two models. However, the planning-target-volume (PTV) doses did not meet the local planning goals and the model could not be adjusted to correct this. As a result, the plans most likely to satisfy local planning goals and requirements were created using an in-house model. For centres without an existing in-house model, a model created by another centre with similar planning goals was found to be preferred. Variations in local planning practices including contouring, treatment technique and planning goals can influence the relative performance of KBP. The value of publicly available KBP models could be enhanced through standardisation of planning goals and contouring guidelines, providing information related to the planning goals used to create the model and increased flexibility to allow local adaptation of the KBP model.
© 2022. The Author(s).

Entities:  

Keywords:  Knowledge-based planning (KBP); Prostate; Radiation oncology; RapidPlan; Shared models

Year:  2022        PMID: 36063348     DOI: 10.1007/s13246-022-01151-1

Source DB:  PubMed          Journal:  Phys Eng Sci Med        ISSN: 2662-4729


  10 in total

1.  Dosimetric comparison of RapidPlan and manually optimized plans in volumetric modulated arc therapy for prostate cancer.

Authors:  Kazuki Kubo; Hajime Monzen; Kentaro Ishii; Mikoto Tamura; Ryu Kawamorita; Iori Sumida; Hirokazu Mizuno; Yasumasa Nishimura
Journal:  Phys Med       Date:  2017-07-10       Impact factor: 2.685

2.  An analysis of knowledge-based planning for stereotactic body radiation therapy of the spine.

Authors:  Joseph J Foy; Robin Marsh; Randall K Ten Haken; Kelly C Younge; Matthew Schipper; Yilun Sun; Dawn Owen; Martha M Matuszak
Journal:  Pract Radiat Oncol       Date:  2017-03-02

3.  Comparison of Planning Quality and Efficiency Between Conventional and Knowledge-based Algorithms in Nasopharyngeal Cancer Patients Using Intensity Modulated Radiation Therapy.

Authors:  Amy T Y Chang; Albert W M Hung; Fion W K Cheung; Michael C H Lee; Oscar S H Chan; Helen Philips; Yung-Tang Cheng; Wai-Tong Ng
Journal:  Int J Radiat Oncol Biol Phys       Date:  2016-02-12       Impact factor: 7.038

4.  On the pre-clinical validation of a commercial model-based optimisation engine: application to volumetric modulated arc therapy for patients with lung or prostate cancer.

Authors:  Antonella Fogliata; Francesca Belosi; Alessandro Clivio; Piera Navarria; Giorgia Nicolini; Marta Scorsetti; Eugenio Vanetti; Luca Cozzi
Journal:  Radiother Oncol       Date:  2014-11-21       Impact factor: 6.280

5.  Clinical validation and benchmarking of knowledge-based IMRT and VMAT treatment planning in pelvic anatomy.

Authors:  Mohammad Hussein; Christopher P South; Miriam A Barry; Elizabeth J Adams; Tom J Jordan; Alexandra J Stewart; Andrew Nisbet
Journal:  Radiother Oncol       Date:  2016-07-14       Impact factor: 6.280

6.  Reducing inter- and intra-planner variability in radiotherapy plan output with a commercial knowledge-based planning solution.

Authors:  Alessandro Scaggion; Marco Fusella; Antonella Roggio; Simonetta Bacco; Nicola Pivato; Marco Andrea Rossato; Lucia Mariel Arana Peña; Marta Paiusco
Journal:  Phys Med       Date:  2018-08-23       Impact factor: 2.685

7.  RapidPlan head and neck model: the objectives and possible clinical benefit.

Authors:  A Fogliata; G Reggiori; A Stravato; F Lobefalo; C Franzese; D Franceschini; S Tomatis; P Mancosu; M Scorsetti; L Cozzi
Journal:  Radiat Oncol       Date:  2017-04-27       Impact factor: 3.481

8.  Intercenter validation of a knowledge based model for automated planning of volumetric modulated arc therapy for prostate cancer. The experience of the German RapidPlan Consortium.

Authors:  Carolin Schubert; Oliver Waletzko; Christian Weiss; Dirk Voelzke; Sevda Toperim; Arnd Roeser; Silvia Puccini; Marc Piroth; Christian Mehrens; Jan-Dirk Kueter; Kirsten Hierholz; Karsten Gerull; Antonella Fogliata; Andreas Block; Luca Cozzi
Journal:  PLoS One       Date:  2017-05-22       Impact factor: 3.240

9.  Development of a multicentre automated model to reduce planning variability in radiotherapy of prostate cancer.

Authors:  Vanessa Panettieri; David Ball; Adam Chapman; Nigel Cristofaro; Janet Gawthrop; Peter Griffin; Sisira Herath; Susan Hoyle; Liam Jukes; Tomas Kron; Cathy Markham; Loretta Marr; Phillip Moloney; Flavio Nelli; Prabhakar Ramachandran; Amanda Smith; Colin J Hornby
Journal:  Phys Imaging Radiat Oncol       Date:  2019-08-08

10.  Evaluation of multiple institutions' models for knowledge-based planning of volumetric modulated arc therapy (VMAT) for prostate cancer.

Authors:  Yoshihiro Ueda; Jun-Ichi Fukunaga; Tatsuya Kamima; Yumiko Adachi; Kiyoshi Nakamatsu; Hajime Monzen
Journal:  Radiat Oncol       Date:  2018-03-20       Impact factor: 3.481

  10 in total

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