{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T16:46:42Z","timestamp":1783442802627,"version":"3.54.6"},"reference-count":25,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2022,4,1]],"date-time":"2022-04-01T00:00:00Z","timestamp":1648771200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2022,4,1]],"date-time":"2022-04-01T00:00:00Z","timestamp":1648771200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2022,4,9]],"date-time":"2022-04-09T00:00:00Z","timestamp":1649462400000},"content-version":"vor","delay-in-days":8,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["phiro.science","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Physics and Imaging in Radiation Oncology"],"published-print":{"date-parts":[[2022,4]]},"DOI":"10.1016\/j.phro.2022.04.002","type":"journal-article","created":{"date-parts":[[2022,4,13]],"date-time":"2022-04-13T12:14:42Z","timestamp":1649852082000},"page":"13-19","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":10,"special_numbering":"C","title":["Evaluating principal component analysis models for representing anatomical changes in head and neck radiotherapy"],"prefix":"10.1016","volume":"22","author":[{"given":"Raul","family":"Argota-Perez","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jennifer","family":"Robbins","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andrew","family":"Green","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marcel van","family":"Herk","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stine","family":"Korreman","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eliana","family":"V\u00e1squez-Osorio","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.phro.2022.04.002_b0005","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s41199-019-0046-z","article-title":"Adaptive radiotherapy for head and neck cancer","volume":"5","author":"Morgan","year":"2020","journal-title":"Cancers Head Neck"},{"key":"10.1016\/j.phro.2022.04.002_b0010","doi-asserted-by":"crossref","first-page":"64","DOI":"10.1186\/s13014-016-0641-7","article-title":"Feasibility of automated proton therapy plan adaptation for head and neck tumors using cone beam CT images","volume":"11","author":"Kurz","year":"2016","journal-title":"Radiat Oncol"},{"key":"10.1016\/j.phro.2022.04.002_b0015","doi-asserted-by":"crossref","first-page":"384","DOI":"10.1016\/j.meddos.2020.06.002","article-title":"Evaluation of replanning in intensity-modulated proton therapy for oropharyngeal cancer: Factors influencing plan robustness","volume":"45","author":"Deiter","year":"2020","journal-title":"Med Dosim"},{"key":"10.1016\/j.phro.2022.04.002_b0020","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1016\/j.meddos.2019.06.002","article-title":"Automatic segmentation for adaptive planning in nasopharyngeal carcinoma IMRT: Time, geometrical, and dosimetric analysis","volume":"45","author":"Fung","year":"2020","journal-title":"Med Dosim"},{"key":"10.1016\/j.phro.2022.04.002_b0025","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.phro.2019.03.005","article-title":"Probabilistic optimization of dose coverage in radiotherapy","volume":"10","author":"Tilly","year":"2019","journal-title":"Phys Imaging Radiat Oncol"},{"key":"10.1016\/j.phro.2022.04.002_b0030","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1016\/j.radonc.2017.02.012","article-title":"A population based statistical model for daily geometric variations in the thorax","volume":"123","author":"Szeto","year":"2017","journal-title":"Radiother Oncol"},{"key":"10.1016\/j.phro.2022.04.002_b0035","doi-asserted-by":"crossref","first-page":"4772","DOI":"10.1118\/1.2804576","article-title":"A patient-specific respiratory model of anatomical motion for radiation treatment planning","volume":"34","author":"Zhang","year":"2007","journal-title":"Med Phys"},{"key":"10.1016\/j.phro.2022.04.002_b0040","doi-asserted-by":"crossref","DOI":"10.1088\/2057-1976\/ab817e","article-title":"Quantifying day-to-day variations in 4DCBCT-based PCA motion models","volume":"6","author":"Dhou","year":"2020","journal-title":"Biomed Phys Eng Express"},{"key":"10.1016\/j.phro.2022.04.002_b0045","doi-asserted-by":"crossref","first-page":"5080","DOI":"10.1118\/1.3481506","article-title":"Optimizing principal component models for representing interfraction variation in lung cancer radiotherapy","volume":"37","author":"Badawi","year":"2010","journal-title":"Med Phys"},{"key":"10.1016\/j.phro.2022.04.002_b0050","doi-asserted-by":"crossref","first-page":"5893","DOI":"10.1088\/0031-9155\/50\/24\/009","article-title":"Modelling individual geometric variation based on dominant eigenmodes of organ deformation: implementation and evaluation","volume":"50","author":"Sohn","year":"2005","journal-title":"Phys Med Biol"},{"key":"10.1016\/j.phro.2022.04.002_b0055","doi-asserted-by":"crossref","first-page":"1423","DOI":"10.3109\/0284186X.2013.818249","article-title":"Adaptive radiotherapy in locally advanced prostate cancer using a statistical deformable motion model","volume":"52","author":"Thornqvist","year":"2013","journal-title":"Acta Oncol"},{"key":"10.1016\/j.phro.2022.04.002_b0060","doi-asserted-by":"crossref","first-page":"1045","DOI":"10.1088\/0031-9155\/56\/4\/011","article-title":"A population-based model to describe geometrical uncertainties in radiotherapy: applied to prostate cases","volume":"56","author":"Budiarto","year":"2011","journal-title":"Phys Med Biol"},{"key":"10.1016\/j.phro.2022.04.002_b0065","doi-asserted-by":"crossref","first-page":"3693","DOI":"10.1088\/0031-9155\/57\/12\/3693","article-title":"Dosimetric treatment course simulation based on a statistical model of deformable organ motion","volume":"57","author":"Sohn","year":"2012","journal-title":"Phys Med Biol"},{"key":"10.1016\/j.phro.2022.04.002_b0070","doi-asserted-by":"crossref","first-page":"344","DOI":"10.1016\/j.radonc.2013.09.012","article-title":"Treatment simulations with a statistical deformable motion model to evaluate margins for multiple targets in radiotherapy for high-risk prostate cancer","volume":"109","author":"Thornqvist","year":"2013","journal-title":"Radiother Oncol"},{"key":"10.1016\/j.phro.2022.04.002_b0075","doi-asserted-by":"crossref","first-page":"5366","DOI":"10.1002\/mp.13233","article-title":"Principal component analysis modeling of Head-and-Neck anatomy using daily Cone Beam-CT images","volume":"45","author":"Tsiamas","year":"2018","journal-title":"Med Phys"},{"key":"10.1016\/j.phro.2022.04.002_b0080","doi-asserted-by":"crossref","first-page":"5307","DOI":"10.1118\/1.4961746","article-title":"Use of regularized principal component analysis to model anatomical changes during head and neck radiation therapy for treatment adaptation and response assessment","volume":"43","author":"Chetvertkov","year":"2016","journal-title":"Med Phys"},{"key":"10.1016\/j.phro.2022.04.002_b0085","doi-asserted-by":"crossref","first-page":"278","DOI":"10.1016\/j.cmpb.2009.09.002","article-title":"Fast free-form deformation using graphics processing units","volume":"98","author":"Modat","year":"2010","journal-title":"Comput Methods Programs Biomed"},{"key":"10.1016\/j.phro.2022.04.002_b0090","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1118\/1.4894702","article-title":"The ANACONDA algorithm for deformable image registration in radiotherapy","volume":"42","author":"Weistrand","year":"2015","journal-title":"Med Phys"},{"key":"10.1016\/j.phro.2022.04.002_b0095","article-title":"Global image registration using a symmetric block-matching approach","volume":"1","author":"Modat","year":"2014","journal-title":"J Med Imaging (Bellingham)"},{"key":"10.1016\/j.phro.2022.04.002_b0100","first-page":"45","volume":"7","author":"Lowekamp","year":"2013","journal-title":"The Design of SimpleITK Front Neuroinform"},{"key":"10.1016\/j.phro.2022.04.002_b0105","first-page":"2825","article-title":"Scikit-learn: Machine Learning in Python","volume":"12","author":"Pedregosa","year":"2011","journal-title":"J Mach Learn Res"},{"key":"10.1016\/j.phro.2022.04.002_b0110","doi-asserted-by":"crossref","first-page":"6009","DOI":"10.1088\/0031-9155\/56\/18\/015","article-title":"On a PCA-based lung motion model","volume":"56","author":"Li","year":"2011","journal-title":"Phys Med Biol"},{"key":"10.1016\/j.phro.2022.04.002_b0115","doi-asserted-by":"crossref","first-page":"760","DOI":"10.1118\/1.4905050","article-title":"Toward adaptive radiotherapy for head and neck patients: Uncertainties in dose warping due to the choice of deformable registration algorithm","volume":"42","author":"Veiga","year":"2015","journal-title":"Med Phys"},{"key":"10.1016\/j.phro.2022.04.002_b0120","doi-asserted-by":"crossref","first-page":"960","DOI":"10.1016\/j.ijrobp.2003.12.024","article-title":"Quantification of volumetric and geometric changes occurring during fractionated radiotherapy for head-and-neck cancer using an integrated CT\/linear accelerator system","volume":"59","author":"Barker","year":"2004","journal-title":"Int J Radiat Oncol Biol Phys"},{"key":"10.1016\/j.phro.2022.04.002_b0125","doi-asserted-by":"crossref","first-page":"1566","DOI":"10.1016\/j.ijrobp.2008.11.035","article-title":"Setup uncertainties of anatomical sub-regions in head-and-neck cancer patients after offline CBCT guidance","volume":"73","author":"van Kranen","year":"2009","journal-title":"Int J Radiat Oncol Biol Phys"}],"container-title":["Physics and Imaging in Radiation Oncology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2405631622000318?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2405631622000318?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,11,7]],"date-time":"2025-11-07T08:13:42Z","timestamp":1762503222000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2405631622000318"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,4]]},"references-count":25,"alternative-id":["S2405631622000318"],"URL":"https:\/\/doi.org\/10.1016\/j.phro.2022.04.002","relation":{},"ISSN":["2405-6316"],"issn-type":[{"value":"2405-6316","type":"print"}],"subject":[],"published":{"date-parts":[[2022,4]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Evaluating principal component analysis models for representing anatomical changes in head and neck radiotherapy","name":"articletitle","label":"Article Title"},{"value":"Physics and Imaging in Radiation Oncology","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.phro.2022.04.002","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2022 The Author(s). Published by Elsevier B.V. on behalf of European Society of Radiotherapy & Oncology.","name":"copyright","label":"Copyright"}]}}