{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,8]],"date-time":"2026-02-08T12:38:41Z","timestamp":1770554321593,"version":"3.49.0"},"reference-count":25,"publisher":"IOP Publishing","issue":"6","license":[{"start":{"date-parts":[[2019,3,13]],"date-time":"2019-03-13T00:00:00Z","timestamp":1552435200000},"content-version":"vor","delay-in-days":12,"URL":"https:\/\/publishingsupport.iopscience.iop.org\/iop-standard\/v1"},{"start":{"date-parts":[[2019,3,13]],"date-time":"2019-03-13T00:00:00Z","timestamp":1552435200000},"content-version":"tdm","delay-in-days":12,"URL":"https:\/\/iopscience.iop.org\/info\/page\/text-and-data-mining"}],"funder":[{"name":"Minist\u00e8re de la Sant\u00e9 et des Services sociaux du Qu\u00e9bec, Canada"},{"DOI":"10.13039\/501100000038","name":"Natural Sciences and Engineering Research Council of Canada","doi-asserted-by":"crossref","award":["435510"],"award-info":[{"award-number":["435510"]}],"id":[{"id":"10.13039\/501100000038","id-type":"DOI","asserted-by":"crossref"}]},{"name":"CREATE Medical Physics Research Training Network grant of the Natural Sciences and Engineering Research Council","award":["432290"],"award-info":[{"award-number":["432290"]}]}],"content-domain":{"domain":["iopscience.iop.org"],"crossmark-restriction":false},"short-container-title":["Phys. Med. Biol."],"published-print":{"date-parts":[[2019,3,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    The purpose of the present study is to develop patient specific unbiased quality control (QC) models for high dose rate (HDR) brachytherapy plans. The proposed models are based on the stochastic frontier analysis formalism, a method of economic modeling. They act as a QC tool by predicting before the treatment planning process starts, the dosimetric coverage achievable for a HDR brachytherapy prostate plan. The geometric parameters considered in developing the models were: patient clinical target volume (CTV), organs at risk (OAR) volume, the bidirectional Hausdorff distance between CTV and OARs, and a fourth parameter measuring the catheters degree of non-parallelism within the target volume. Dosimetry parameters of interest are V\n                    <jats:sub>100<\/jats:sub>\n                    for the CTV, V\n                    <jats:sub>75<\/jats:sub>\n                    (bladder, rectum) and D\n                    <jats:sub>10<\/jats:sub>\n                    (urethra). Results show that the built models can provide valuable information on the personalization of the optimization process based on the patient geometric parameters. The impact on the quality plan due to the planner\u2019s experience variability and judgment can be reduced by using those models, since the planner will attempt to achieve dosimetric parameters predicted by the models. Furthermore, the models provide information on the better trade-off between the target volume coverage and OARs sparing that can be achieved, regardless of the planner\u2019s experience; the latter being achieved by moving each plan at least around their respective frontier for V\n                    <jats:sub>100<\/jats:sub>\n                    , V\n                    <jats:sub>75<\/jats:sub>\n                    and D\n                    <jats:sub>10<\/jats:sub>\n                    . The shortfall of the dosimetric parameters values computed by the treatment planning system (TPS) from those predicted by the models for a proportion of plans in the dataset reveals that optimized plans from a TPS, even clinically acceptable, are not necessarily the best that could be achieved. These represent 83% of plans in the training set for the target volume coverage (V\n                    <jats:sub>100<\/jats:sub>\n                    ), \u223c50% for the bladder (V\n                    <jats:sub>75<\/jats:sub>\n                    ) and\u2009\u2009\u223c72% for the urethra (D\n                    <jats:sub>10<\/jats:sub>\n                    ).\n                  <\/jats:p>","DOI":"10.1088\/1361-6560\/ab0522","type":"journal-article","created":{"date-parts":[[2019,2,7]],"date-time":"2019-02-07T17:37:33Z","timestamp":1549561053000},"page":"065012","update-policy":"https:\/\/doi.org\/10.1088\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["A stochastic frontier analysis for enhanced treatment quality of high-dose-rate brachytherapy plans"],"prefix":"10.1088","volume":"64","author":[{"given":"Paul","family":"Edimo","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Angelika","family":"Kroshko","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Luc","family":"Beaulieu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Louis","family":"Archambault","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"266","published-online":{"date-parts":[[2019,3,13]]},"reference":[{"key":"pmbab0522bib001","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1016\/0304-4076(77)90052-5","type":"journal-article","article-title":"Formulation and estimation of stochastic frontier production function models","volume":"6","author":"Aigner","year":"1977","journal-title":"J. Econometrics"},{"key":"pmbab0522bib002","author":"Chow Hsu","year":"2008","type":"book"},{"key":"pmbab0522bib003","first-page":"139","type":"journal-article","article-title":"A theory of production","volume":"18","author":"Cobb","year":"1928","journal-title":"Am. Econ. Rev."},{"key":"pmbab0522bib004","doi-asserted-by":"publisher","first-page":"1323","DOI":"10.1016\/j.mri.2012.05.001","type":"journal-article","article-title":"3D slicer as an image computing platform for the quantitative imaging network","volume":"30","author":"Fedorov","year":"2012","journal-title":"Magn. Reson. Imaging"},{"key":"pmbab0522bib005","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1016\/0304-4076(90)90052-U","type":"journal-article","article-title":"A gamma-distributed stochastic frontier model","volume":"46","author":"Greene","year":"1990","journal-title":"J. Econometrics"},{"key":"pmbab0522bib006","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1016\/j.brachy.2004.05.007","type":"journal-article","article-title":"Comparison of inverse planning simulated annealing and geometrical optimization for prostate high-dose-rate brachytherapy","volume":"3","author":"Hsu","year":"2004","journal-title":"Brachytherapy"},{"key":"pmbab0522bib007","doi-asserted-by":"publisher","first-page":"850","DOI":"10.1109\/34.232073","type":"journal-article","article-title":"Comparing images using the Hausdorff distance","volume":"15","author":"HuttenLocher","year":"1993","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"pmbab0522bib008","doi-asserted-by":"publisher","first-page":"820","DOI":"10.1016\/j.ijrobp.2008.02.009","type":"journal-article","article-title":"Anatomy-based inverse planning simulated annealing optimization in high-dose-rate prostate brachytherapy: signifiant dosimetric advantage over other optimization techniques","volume":"72","author":"Jacob","year":"2008","journal-title":"Int. J. Radiat. Oncol. Biol. Phys."},{"key":"pmbab0522bib009","doi-asserted-by":"publisher","first-page":"233","DOI":"10.1016\/0304-4076(82)90004-5","type":"journal-article","article-title":"On the estimation of technical inefficiency in the stochastic frontier production function model","volume":"19","author":"Jondrow","year":"1977","journal-title":"J. Econometrics"},{"key":"pmbab0522bib010","first-page":"p 19103","type":"book","author":"Khan","year":"2014","edition":"5th edn"},{"key":"pmbab0522bib011","doi-asserted-by":"publisher","first-page":"2935","DOI":"10.1118\/1.1796111","type":"journal-article","article-title":"Development and clinical introduction of an inverse planning dose optimization by simulated annealing IPSA for high dose rate brachytherapy","volume":"31","author":"Lessard","year":"2004","journal-title":"Med. Phys."},{"key":"pmbab0522bib012","doi-asserted-by":"publisher","first-page":"773","DOI":"10.1118\/1.1368127","type":"journal-article","article-title":"Inverse planning anatomy-based dose optimization for HDR brachytherapy of the prostate using fast simulated annealing algorithm and dedicated objective function","volume":"28","author":"Lessard","year":"2001","journal-title":"Med. Phys."},{"key":"pmbab0522bib013","doi-asserted-by":"publisher","first-page":"1243","DOI":"10.1016\/S0360-3016(02)03802-6","type":"journal-article","article-title":"Inverse planning for interstitial gynecological template brachytherapy: truly anatomy based planning","volume":"54","author":"Lessard","year":"2002","journal-title":"Int. J. Radiat. Oncol. Biol. Phys."},{"key":"pmbab0522bib014","doi-asserted-by":"publisher","first-page":"435","DOI":"10.2307\/2525757","type":"journal-article","article-title":"Efficiency estimation from Cobb\u2013Douglas production functions with composed error","volume":"18","author":"Meeusen","year":"1977","journal-title":"Int. Econ. Rev."},{"key":"pmbab0522bib015","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1016\/j.brachy.2007.10.001","type":"journal-article","article-title":"A comparison of anatomy-based inverse planning with simulated annealing and graphical optimization for high-dose-rate prostate brachytherapy","volume":"7","author":"Morton","year":"2008","journal-title":"Brachytherapy"},{"key":"pmbab0522bib016","author":"Podgorsak","year":"2005","type":"book"},{"key":"pmbab0522bib017","author":"R Development Core Team","year":"2017","type":"book"},{"key":"pmbab0522bib018","author":"Radiation Therapy Oncology Group","year":"2016","type":"book"},{"key":"pmbab0522bib019","doi-asserted-by":"publisher","first-page":"343","DOI":"10.1016\/0304-4076(79)90078-2","type":"journal-article","article-title":"Estimating technical and allocative inefficiency relative to stochastic production and cost frontiers","volume":"9","author":"Schmidt","year":"1979","journal-title":"J. Econometrics"},{"key":"pmbab0522bib020","doi-asserted-by":"publisher","first-page":"4045","DOI":"10.1118\/1.3598437","type":"journal-article","article-title":"Ipip: a new approach to inverse planning for HDR brachytherapy by directly optimizing dosimetric indices","volume":"38","author":"Siauw","year":"2011","journal-title":"Med. Phys."},{"key":"pmbab0522bib021","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1016\/0304-4076(80)90042-1","type":"journal-article","article-title":"Likelihood functions for generalized stochastic frontier estimation","volume":"13","author":"Stevenson","year":"1980","journal-title":"J. Econometrics"},{"key":"pmbab0522bib022","doi-asserted-by":"publisher","first-page":"60","DOI":"10.1214\/aoms\/1177732360","type":"journal-article","article-title":"The large-sample distribution of the likelihood ratio for testing composite hypotheses","volume":"9","author":"Wilks","year":"1938","journal-title":"Ann. Math. Stat."},{"key":"pmbab0522bib023","doi-asserted-by":"publisher","first-page":"13","DOI":"10.32614\/RJ-2013-002","type":"journal-article","article-title":"Generalized simulated annealing for global optimization: the GenSA Package","volume":"6","author":"Xiang","year":"2013","journal-title":"R. J."},{"key":"pmbab0522bib024","doi-asserted-by":"publisher","first-page":"968","DOI":"10.1109\/ICIP.1994.413253","type":"other","article-title":"A guided image matching approach using hausdorff distance with interesting points detection","volume":"vol 1","author":"You","year":"1994"},{"key":"pmbab0522bib025","first-page":"97","type":"other","article-title":"Application of Hausdorff distance in image matching","author":"Zhu","year":"2014"}],"container-title":["Physics in Medicine &amp; Biology"],"original-title":[],"link":[{"URL":"http:\/\/iopscience.iop.org\/article\/10.1088\/1361-6560\/ab0522\/pdf","content-type":"application\/pdf","content-version":"am","intended-application":"text-mining"},{"URL":"http:\/\/iopscience.iop.org\/article\/10.1088\/1361-6560\/ab0522","content-type":"text\/html","content-version":"am","intended-application":"text-mining"},{"URL":"http:\/\/stacks.iop.org\/0031-9155\/64\/i=6\/a=065012\/pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/stacks.iop.org\/0031-9155\/64\/i=6\/a=065012?key=crossref.01879ab971f4440a05690ec3f534a2f4","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1088\/1361-6560\/ab0522","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1088\/1361-6560\/ab0522\/pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/iopscience.iop.org\/article\/10.1088\/1361-6560\/ab0522\/pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1088\/1361-6560\/ab0522\/pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"http:\/\/iopscience.iop.org\/article\/10.1088\/1361-6560\/ab0522\/pdf","content-type":"application\/pdf","content-version":"am","intended-application":"similarity-checking"},{"URL":"http:\/\/stacks.iop.org\/0031-9155\/64\/i=6\/a=065012\/pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"},{"URL":"http:\/\/stacks.iop.org\/0031-9155\/64\/i=6\/a=065012?key=crossref.01879ab971f4440a05690ec3f534a2f4","content-type":"text\/html","content-version":"vor","intended-application":"similarity-checking"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1088\/1361-6560\/ab0522\/pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,7]],"date-time":"2026-02-07T12:15:31Z","timestamp":1770466531000},"score":1,"resource":{"primary":{"URL":"https:\/\/iopscience.iop.org\/article\/10.1088\/1361-6560\/ab0522"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,3,1]]},"references-count":25,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2019,3,13]]},"published-print":{"date-parts":[[2019,3,1]]}},"URL":"https:\/\/doi.org\/10.1088\/1361-6560\/ab0522","relation":{},"ISSN":["0031-9155","1361-6560"],"issn-type":[{"value":"0031-9155","type":"print"},{"value":"1361-6560","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,3,1]]},"assertion":[{"value":"A stochastic frontier analysis for enhanced treatment quality of high-dose-rate brachytherapy plans","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":"2018-07-16","name":"date_received","label":"Date Received","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2019-02-07","name":"date_accepted","label":"Date Accepted","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2019-03-13","name":"date_epub","label":"Online publication date","group":{"name":"publication_dates","label":"Publication dates"}}]}}