Literature DB >> 27880737

Development and clinical introduction of automated radiotherapy treatment planning for prostate cancer.

D Winkel1, G H Bol, B van Asselen, J Hes, V Scholten, L G W Kerkmeijer, B W Raaymakers.   

Abstract

To develop an automated radiotherapy treatment planning and optimization workflow to efficiently create patient specifically optimized clinical grade treatment plans for prostate cancer and to implement it in clinical practice. A two-phased planning and optimization workflow was developed to automatically generate 77Gy 5-field simultaneously integrated boost intensity modulated radiation therapy (SIB-IMRT) plans for prostate cancer treatment. A retrospective planning study (n  =  100) was performed in which automatically and manually generated treatment plans were compared. A clinical pilot (n  =  21) was performed to investigate the usability of our method. Operator time for the planning process was reduced to  <5 min. The retrospective planning study showed that 98 plans met all clinical constraints. Significant improvements were made in the volume receiving 72Gy (V72Gy) for the bladder and rectum and the mean dose of the bladder and the body. A reduced plan variance was observed. During the clinical pilot 20 automatically generated plans met all constraints and 17 plans were selected for treatment. The automated radiotherapy treatment planning and optimization workflow is capable of efficiently generating patient specifically optimized and improved clinical grade plans. It has now been adopted as the current standard workflow in our clinic to generate treatment plans for prostate cancer.

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Mesh:

Year:  2016        PMID: 27880737     DOI: 10.1088/1361-6560/61/24/8587

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  7 in total

Review 1.  Automation in intensity modulated radiotherapy treatment planning-a review of recent innovations.

Authors:  Mohammad Hussein; Ben J M Heijmen; Dirk Verellen; Andrew Nisbet
Journal:  Br J Radiol       Date:  2018-09-04       Impact factor: 3.039

2.  Automatic replanning of VMAT plans for different treatment machines: A template-based approach using constrained optimization.

Authors:  Luise A Künzel; Oliver S Dohm; Markus Alber; Daniel Zips; Daniela Thorwarth
Journal:  Strahlenther Onkol       Date:  2018-05-30       Impact factor: 3.621

3.  Plan quality for high-risk prostate cancer treated with high field magnetic resonance imaging guided radiotherapy.

Authors:  Rasmus Lübeck Christiansen; Christian Rønn Hansen; Rikke Hedegaard Dahlrot; Anders Smedegaard Bertelsen; Olfred Hansen; Carsten Brink; Uffe Bernchou
Journal:  Phys Imaging Radiat Oncol       Date:  2018-07-21

4.  Utilisation of Pareto navigation techniques to calibrate a fully automated radiotherapy treatment planning solution.

Authors:  Philip A Wheeler; Michael Chu; Rosemary Holmes; Maeve Smyth; Rhydian Maggs; Emiliano Spezi; John Staffurth; David G Lewis; Anthony E Millin
Journal:  Phys Imaging Radiat Oncol       Date:  2019-05-16

5.  A plan template-based automation solution using a commercial treatment planning system.

Authors:  Xiaotian Huang; Hong Quan; Bo Zhao; Wing Zhou; Charles Chen; Yan Chen
Journal:  J Appl Clin Med Phys       Date:  2020-03-16       Impact factor: 2.102

6.  Planning comparison of five automated treatment planning solutions for locally advanced head and neck cancer.

Authors:  J Krayenbuehl; M Zamburlini; S Ghandour; M Pachoud; S Tanadini-Lang; J Tol; M Guckenberger; W F A R Verbakel
Journal:  Radiat Oncol       Date:  2018-09-10       Impact factor: 3.481

7.  Multiobjective, Multidelivery Optimization for Radiation Therapy Treatment Planning.

Authors:  William Tyler Watkins; Hamidreza Nourzadeh; Jeffrey V Siebers
Journal:  Adv Radiat Oncol       Date:  2019-09-27
  7 in total

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