{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,8]],"date-time":"2026-02-08T12:07:06Z","timestamp":1770552426497,"version":"3.49.0"},"reference-count":31,"publisher":"IOP Publishing","issue":"3","license":[{"start":{"date-parts":[[2019,1,22]],"date-time":"2019-01-22T00:00:00Z","timestamp":1548115200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/publishingsupport.iopscience.iop.org\/iop-standard\/v1"},{"start":{"date-parts":[[2019,1,22]],"date-time":"2019-01-22T00:00:00Z","timestamp":1548115200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/iopscience.iop.org\/info\/page\/text-and-data-mining"}],"content-domain":{"domain":["iopscience.iop.org"],"crossmark-restriction":false},"short-container-title":["Phys. Med. Biol."],"published-print":{"date-parts":[[2019,2,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Automated treatment planning algorithms have demonstrated capability in generating consistent and high-quality treatment plans. Their configuration (i.e. determining the algorithm\u2019s parameters), however, can be a labour-intensive and time-consuming trial-and-error procedure.<\/jats:p>\n                  <jats:p>Previously, we introduced the reference point method (RPM) for fast automated multi-objective treatment planning. The RPM generates a single Pareto optimal plan for each patient. When the RPM is configured appropriately, this plan has clinically favourable trade-offs between all plan objectives. This paper proposes a new procedure to automatically generate a single configuration of the RPM per tumour site. The procedure was tested for prostate cancer.<\/jats:p>\n                  <jats:p>\n                    Planning CT scans of 287 previously treated patients were included in a database, together with corresponding Pareto optimal plans generated using our clinically applied two-phase\n                    <jats:inline-formula\/>\n                    -constraint method (part of Erasmus-iCycle) for automated multi-objective treatment planning. The procedure developed acquires plan characteristics observed in a training set. Based on these, an RPM configuration is automatically generated according to user preferences which specify acceptable differences between training set plans and corresponding RPM generated plans. For example, compared to the training set plans, the RPM generated plans need to have similar PTV coverage, and preferably reduced high rectum dose while slight deteriorations in other objectives are allowed. Training sets of different sizes were tested, and the quality of the resulting RPM configurations was evaluated on the test set (subset of the database not used for training).\n                  <\/jats:p>\n                  <jats:p>Using the new procedure, an RPM configuration was generated for each training set. The quality of RPM generated plans was similar or slightly better than that of the corresponding test set plans. The proposed automated configuration procedure greatly reduces the manual configuration workload, and thereby improves the efficiency and effectiveness of an automated clinical treatment planning workflow.<\/jats:p>","DOI":"10.1088\/1361-6560\/aaf9fe","type":"journal-article","created":{"date-parts":[[2018,12,19]],"date-time":"2018-12-19T18:00:31Z","timestamp":1545242431000},"page":"035002","update-policy":"https:\/\/doi.org\/10.1088\/crossmark-policy","source":"Crossref","is-referenced-by-count":7,"title":["Automatically configuring the reference point method for automated multi-objective treatment planning"],"prefix":"10.1088","volume":"64","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6092-1854","authenticated-orcid":false,"given":"Rens","family":"van Haveren","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1647-0528","authenticated-orcid":false,"given":"Ben J M","family":"Heijmen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8954-4554","authenticated-orcid":false,"given":"Sebastiaan","family":"Breedveld","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"266","published-online":{"date-parts":[[2019,1,22]]},"reference":[{"key":"pmbaaf9febib001","doi-asserted-by":"publisher","first-page":"391","DOI":"10.1080\/10556780600604940","type":"journal-article","article-title":"Intensity modulated radiotherapy treatment planning by use of a barrier-penalty multiplier method","volume":"22","author":"Alber","year":"2007","journal-title":"Optim. Methods Softw."},{"key":"pmbaaf9febib002","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2018.08.019)","type":"journal-article","article-title":"Multi-criteria optimisation and decision-making in radiotherapy","author":"Breedveld","year":"2019","journal-title":"Eur. J. Oper. Res."},{"key":"pmbaaf9febib003","doi-asserted-by":"publisher","first-page":"7199","DOI":"10.1088\/0031-9155\/54\/23\/011","type":"journal-article","article-title":"The equivalence of multi-criteria methods for radiotherapy plan optimization","volume":"54","author":"Breedveld","year":"2009","journal-title":"Phys. Med. Biol."},{"key":"pmbaaf9febib004","doi-asserted-by":"publisher","first-page":"6339","DOI":"10.1088\/0031-9155\/52\/20\/016","type":"journal-article","article-title":"A novel approach to multi-criteria inverse planning for IMRT","volume":"52","author":"Breedveld","year":"2007","journal-title":"Phys. Med. Biol."},{"key":"pmbaaf9febib005","doi-asserted-by":"publisher","first-page":"951","DOI":"10.1118\/1.3676689","type":"journal-article","article-title":"iCycle: integrated, multi-criterial beam angle and profile optimization for generation of coplanar and non-coplanar IMRT plans","volume":"39","author":"Breedveld","year":"2012","journal-title":"Med. Phys."},{"key":"pmbaaf9febib006","doi-asserted-by":"publisher","first-page":"209","DOI":"10.1007\/s10589-017-9919-4","type":"journal-article","article-title":"An interior-point implementation developed and tuned for radiation therapy treatment planning","volume":"68","author":"Breedveld","year":"2017","journal-title":"Comput. Optim. Appl."},{"key":"pmbaaf9febib007","doi-asserted-by":"publisher","first-page":"333","DOI":"10.1007\/s00066-017-1246-2","type":"journal-article","article-title":"Automated volumetric modulated arc therapy planning for whole pelvic prostate radiotherapy","volume":"194","author":"Buschmann","year":"2018","journal-title":"Strahlentherapie Onkol."},{"key":"pmbaaf9febib008","doi-asserted-by":"publisher","first-page":"243","DOI":"10.1111\/itor.12241","type":"journal-article","article-title":"A matheuristic approach to solve the multiobjective beam angle optimization problem in intersity-modulated radiation therapy","volume":"25","author":"Cabrera","year":"2018","journal-title":"Int. Trans. Oper. Res."},{"key":"pmbaaf9febib009","doi-asserted-by":"publisher","first-page":"736","DOI":"10.1118\/1.3292636","type":"journal-article","article-title":"Simultaneous navigation of multiple Pareto surfaces, with an application to multicriteria IMRT planning with multiple beam angle configurations","volume":"37","author":"Craft","year":"2010","journal-title":"Med. Phys."},{"key":"pmbaaf9febib010","doi-asserted-by":"publisher","first-page":"S124","DOI":"10.1016\/S0167-8140(16)31515-8","type":"journal-article","article-title":"Automated treatment plan generation for advanced stage NSCLC patients","volume":"119","author":"Della Gala","year":"2016","journal-title":"Radiother. Oncol."},{"key":"pmbaaf9febib011","doi-asserted-by":"publisher","first-page":"673","DOI":"10.1016\/j.ijrobp.2014.06.046","type":"journal-article","article-title":"Clinical implementation of an online adaptive plan-of-the-day protocol for nonrigid motion management in locally advanced cervical cancer IMRT","volume":"90","author":"Heijkoop","year":"2014","journal-title":"Int. J. Radiat. Oncol. Biol. Phys."},{"key":"pmbaaf9febib012","doi-asserted-by":"publisher","first-page":"343","DOI":"10.1016\/j.radonc.2018.06.023","type":"journal-article","article-title":"Fully automated, multi-criterial planning for volumetric modulated arc therapy\u2014an international multi-center validation for prostate cancer","volume":"128","author":"Heijmen","year":"2018","journal-title":"Radiother. Oncol."},{"key":"pmbaaf9febib013","doi-asserted-by":"publisher","first-page":"20180270","DOI":"10.1259\/bjr.20180270","type":"journal-article","article-title":"Automation in intensity modulated radiotherapy treatment planning\u2014a review of recent innovations","volume":"91","author":"Hussein","year":"2018","journal-title":"Br. J. Radiol."},{"key":"pmbaaf9febib014","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6560\/aacaa7","type":"journal-article","article-title":"An automated planning strategy for near real-time adaptive proton therapy in prostate cancer","volume":"63","author":"Jagt","year":"2018","journal-title":"Phys. Med. Biol."},{"key":"pmbaaf9febib015","doi-asserted-by":"publisher","first-page":"381","DOI":"10.1023\/A:1022687729559","type":"journal-article","article-title":"Efficient solutions and bounds on tradeoffs","volume":"94","author":"Kaliszewski","year":"1997","journal-title":"J. Optim. Theory App."},{"key":"pmbaaf9febib016","doi-asserted-by":"publisher","first-page":"3445","DOI":"10.1118\/1.4720218","type":"journal-article","article-title":"Sensitivity analysis for lexicographic ordering in radiation therapy treatment planning","volume":"39","author":"Long","year":"2012","journal-title":"Med. Phys."},{"key":"pmbaaf9febib017","author":"Miettinen","year":"1999","type":"book"},{"key":"pmbaaf9febib018","doi-asserted-by":"publisher","first-page":"985","DOI":"10.1088\/0031-9155\/53\/4\/011","type":"journal-article","article-title":"Pareto navigation-algorithmic foundation of interactive multi-criteria IMRT planning","volume":"53","author":"Monz","year":"2008","journal-title":"Phys. Med. Biol."},{"key":"pmbaaf9febib019","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1118\/1.598063","type":"journal-article","article-title":"Reporting and analyzing dose distribution: a concept of equivalent uniform dose","volume":"24","author":"Niemierko","year":"1997","journal-title":"Med. Phys."},{"key":"pmbaaf9febib020","doi-asserted-by":"publisher","first-page":"380","DOI":"10.1007\/s11750-009-0121-4","type":"journal-article","article-title":"Reference point method with importance weighted ordered partial achievements","volume":"19","author":"Ogryczak","year":"2011","journal-title":"TOP"},{"key":"pmbaaf9febib021","doi-asserted-by":"publisher","first-page":"349","DOI":"10.1016\/j.radonc.2018.05.028","type":"journal-article","article-title":"Late toxicity in the randomized multicenter HYPRO trial for prostate cancer analyzed with automated treatment planning","volume":"128","author":"Sharfo","year":"2018","journal-title":"Radiother. Oncol."},{"key":"pmbaaf9febib022","doi-asserted-by":"publisher","first-page":"395","DOI":"10.1016\/j.radonc.2015.02.006","type":"journal-article","article-title":"Comparison of VMAT and IMRT stategies for cervical cancer patients using automated planning","volume":"114","author":"Sharfo","year":"2015","journal-title":"Radiother. Oncol."},{"key":"pmbaaf9febib023","doi-asserted-by":"publisher","first-page":"247","DOI":"10.1016\/j.ejor.2017.04.062","type":"journal-article","article-title":"Lexicographic extension of the reference point method applied in radiation therapy treatment planning","volume":"263","author":"Van Haveren","year":"2017a","journal-title":"Eur. J. Oper. Res."},{"key":"pmbaaf9febib024","doi-asserted-by":"publisher","first-page":"4318","DOI":"10.1088\/1361-6560\/62\/11\/4318","type":"journal-article","article-title":"Fast and fuzzy multi-objective radiotherapy treatment plan generation for head and neck cancer patients with the lexicographic reference point method (LRPM)","volume":"62","author":"Van Haveren","year":"2017b","journal-title":"Phys. Med. Biol."},{"key":"pmbaaf9febib025","doi-asserted-by":"publisher","first-page":"1175","DOI":"10.1016\/j.ijrobp.2013.12.046","type":"journal-article","article-title":"Fully automated volumetric modulated arc therapy plan generation for prostate cancer patients","volume":"88","author":"Voet","year":"2014","journal-title":"Int. J. Radiat. Oncol. Biol. Phys."},{"key":"pmbaaf9febib026","doi-asserted-by":"publisher","DOI":"10.1118\/1.4808117","type":"journal-article","article-title":"Automated generation of IMRT treatment plans for prostate cancer patients with metal hip prostheses: comparison of different planning strategies","volume":"40","author":"Voet","year":"2013b","journal-title":"Med. Phys."},{"key":"pmbaaf9febib027","doi-asserted-by":"publisher","first-page":"866","DOI":"10.1016\/j.ijrobp.2012.04.015","type":"journal-article","article-title":"Toward fully automated multicriterial plan generation: a prospective clinical study","volume":"85","author":"Voet","year":"2013a","journal-title":"Int. J. Radiat. Oncol. Biol. Phys."},{"key":"pmbaaf9febib028","doi-asserted-by":"publisher","first-page":"4268","DOI":"10.1088\/0031-9155\/61\/11\/4268","type":"journal-article","article-title":"Evaluation of plan quality assurance models for prostate cancer patients based on fully automatically generated Pareto-optimal treatment plans","volume":"61","author":"Wang","year":"2016","journal-title":"Phys. Med. Biol."},{"key":"pmbaaf9febib029","doi-asserted-by":"publisher","first-page":"391","DOI":"10.1016\/0270-0255(82)90038-0","type":"journal-article","article-title":"A mathematical basis for satisficing decision making","volume":"3","author":"Wierzbicki","year":"1982","journal-title":"Math. Mod."},{"key":"pmbaaf9febib030","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1007\/BF01719738","type":"journal-article","article-title":"On the completeness and constructiveness of parametric characterizations to vector optimization problems","volume":"8","author":"Wierzbicki","year":"1986","journal-title":"OR Spectr."},{"key":"pmbaaf9febib031","doi-asserted-by":"publisher","first-page":"6868","DOI":"10.1118\/1.4757927","type":"journal-article","article-title":"Quantitative analysis of the factors which affect the interpatient organ-at-risk dose sparing variation in IMRT plans","volume":"39","author":"Yuan","year":"2012","journal-title":"Med. Phys."}],"container-title":["Physics in Medicine &amp; Biology"],"original-title":[],"link":[{"URL":"http:\/\/stacks.iop.org\/0031-9155\/64\/i=3\/a=035002?key=crossref.71a30fc60c099a3022adf2f918c10d94","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/iopscience.iop.org\/article\/10.1088\/1361-6560\/aaf9fe\/pdf","content-type":"application\/pdf","content-version":"am","intended-application":"text-mining"},{"URL":"http:\/\/stacks.iop.org\/0031-9155\/64\/i=3\/a=035002\/pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/iopscience.iop.org\/article\/10.1088\/1361-6560\/aaf9fe","content-type":"text\/html","content-version":"am","intended-application":"text-mining"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1088\/1361-6560\/aaf9fe","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1088\/1361-6560\/aaf9fe\/pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/iopscience.iop.org\/article\/10.1088\/1361-6560\/aaf9fe\/pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1088\/1361-6560\/aaf9fe\/pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"http:\/\/iopscience.iop.org\/article\/10.1088\/1361-6560\/aaf9fe\/pdf","content-type":"application\/pdf","content-version":"am","intended-application":"similarity-checking"},{"URL":"http:\/\/stacks.iop.org\/0031-9155\/64\/i=3\/a=035002\/pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"},{"URL":"http:\/\/stacks.iop.org\/0031-9155\/64\/i=3\/a=035002?key=crossref.71a30fc60c099a3022adf2f918c10d94","content-type":"text\/html","content-version":"vor","intended-application":"similarity-checking"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1088\/1361-6560\/aaf9fe\/pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,7]],"date-time":"2026-02-07T12:13:07Z","timestamp":1770466387000},"score":1,"resource":{"primary":{"URL":"https:\/\/iopscience.iop.org\/article\/10.1088\/1361-6560\/aaf9fe"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,1,22]]},"references-count":31,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2019,1,22]]},"published-print":{"date-parts":[[2019,2,1]]}},"URL":"https:\/\/doi.org\/10.1088\/1361-6560\/aaf9fe","relation":{},"ISSN":["0031-9155","1361-6560"],"issn-type":[{"value":"0031-9155","type":"print"},{"value":"1361-6560","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,1,22]]},"assertion":[{"value":"Automatically configuring the reference point method for automated multi-objective treatment planning","name":"article_title","label":"Article Title"},{"value":"Physics in Medicine & Biology","name":"journal_title","label":"Journal Title"},{"value":"paper","name":"article_type","label":"Article Type"},{"value":"\u00a9 2019 Institute of Physics and Engineering in Medicine. All rights, including for text and data mining, AI training, and similar technologies, are reserved.","name":"copyright_information","label":"Copyright Information"},{"value":"2018-09-20","name":"date_received","label":"Date Received","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2018-12-19","name":"date_accepted","label":"Date Accepted","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2019-01-22","name":"date_epub","label":"Online publication date","group":{"name":"publication_dates","label":"Publication dates"}}]}}