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====Automated planning==== Automated treatment planning has become an integrated part of radiotherapy treatment planning. There are in general two approaches of automated planning. 1) Knowledge based planning where the treatment planning system has a library of high quality plans, from which it can predict the target and dose-volume histogram of the organ at risk.<ref>{{cite journal | vauthors = Fogliata A, Belosi F, Clivio A, Navarria P, Nicolini G, Scorsetti M, Vanetti E, Cozzi L | display-authors = 6 | title = 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 | journal = Radiotherapy and Oncology | volume = 113 | issue = 3 | pages = 385β391 | date = December 2014 | pmid = 25465726 | doi = 10.1016/j.radonc.2014.11.009 }}</ref> 2) The other approach is commonly called protocol based planning, where the treatment planning system tried to mimic an experienced treatment planner and through an iterative process evaluates the plan quality from on the basis of the protocol.<ref>{{cite journal | vauthors = Hazell I, Bzdusek K, Kumar P, Hansen CR, Bertelsen A, Eriksen JG, Johansen J, Brink C | display-authors = 6 | title = Automatic planning of head and neck treatment plans | journal = Journal of Applied Clinical Medical Physics | volume = 17 | issue = 1 | pages = 272β282 | date = January 2016 | pmid = 26894364 | pmc = 5690191 | doi = 10.1120/jacmp.v17i1.5901 }}</ref><ref>{{cite journal | vauthors = Hansen CR, Bertelsen A, Hazell I, Zukauskaite R, Gyldenkerne N, Johansen J, Eriksen JG, Brink C | display-authors = 6 | title = Automatic treatment planning improves the clinical quality of head and neck cancer treatment plans | journal = Clinical and Translational Radiation Oncology | volume = 1 | pages = 2β8 | date = December 2016 | pmid = 29657987 | pmc = 5893480 | doi = 10.1016/j.ctro.2016.08.001 }}</ref><ref>{{cite journal | vauthors = Hansen CR, Nielsen M, Bertelsen AS, Hazell I, Holtved E, Zukauskaite R, Bjerregaard JK, Brink C, Bernchou U | display-authors = 6 | title = Automatic treatment planning facilitates fast generation of high-quality treatment plans for esophageal cancer | journal = Acta Oncologica | volume = 56 | issue = 11 | pages = 1495β1500 | date = November 2017 | pmid = 28840767 | doi = 10.1080/0284186X.2017.1349928 | doi-access = free }}</ref><ref>{{cite journal | vauthors = Roach D, Wortel G, Ochoa C, Jensen HR, Damen E, Vial P, Janssen T, Hansen CR | display-authors = 6 | title = Adapting automated treatment planning configurations across international centres for prostate radiotherapy | journal = Physics and Imaging in Radiation Oncology | volume = 10 | pages = 7β13 | date = April 2019 | pmid = 33458261 | pmc = 7807573 | doi = 10.1016/j.phro.2019.04.007 | doi-access = free }}</ref>
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