{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T05:29:30Z","timestamp":1769146170540,"version":"3.49.0"},"reference-count":28,"publisher":"IOP Publishing","issue":"1","license":[{"start":{"date-parts":[[2023,6,24]],"date-time":"2023-06-24T00:00:00Z","timestamp":1687564800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/publishingsupport.iopscience.iop.org\/iop-standard\/v1"},{"start":{"date-parts":[[2023,6,24]],"date-time":"2023-06-24T00:00:00Z","timestamp":1687564800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/iopscience.iop.org\/info\/page\/text-and-data-mining"}],"funder":[{"name":"Natural Science Foundation of Guangdong, China","award":["2018A0303100020"],"award-info":[{"award-number":["2018A0303100020"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["11805292"],"award-info":[{"award-number":["11805292"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Key Reasearch Foundation of Ningbo No.2 Hospital, China","award":["2020HMZD04"],"award-info":[{"award-number":["2020HMZD04"]}]}],"content-domain":{"domain":["iopscience.iop.org"],"crossmark-restriction":false},"short-container-title":["Med. Eng. Phys."],"published-print":{"date-parts":[[2023,8,1]]},"DOI":"10.1016\/j.medengphy.2023.104011","type":"journal-article","created":{"date-parts":[[2023,6,24]],"date-time":"2023-06-24T18:16:24Z","timestamp":1687630584000},"page":"104011","update-policy":"https:\/\/doi.org\/10.1088\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["A predicted three-dimensional dose sequence based treatment planning optimization method for gynecologic IMRT"],"prefix":"10.1088","volume":"118","author":[{"given":"Qiyuan","family":"Jia","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chuancheng","family":"Zheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yongbao","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Futong","family":"Guo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Linghong","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ting","family":"Song","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"266","published-online":{"date-parts":[[2023,6,24]]},"reference":[{"key":"bib0001","type":"other","article-title":"Intensity-modulated radiation therapy\u2014the state of the art","volume":"30","author":"Palta","year":"2003"},{"key":"bib0002","first-page":"1","type":"other","article-title":"Improvement in toxicity in high risk prostate cancer patients treated with image-guided intensity-modulated radiotherapy compared to 3D conformal radiotherapy without daily image guidance","volume":"9","author":"Sveistrup","year":"2014"},{"key":"bib0003","first-page":"1115","type":"other","article-title":"Multi-criteria optimization methods in radiation therapy planning: a review of technologies and directions","volume":"157","author":"Craft","year":"2013"},{"key":"bib0004","first-page":"296","type":"other","article-title":"Variation in external beam treatment plan quality: an inter-institutional study of planners and planning systems","volume":"2","author":"Nelms","year":"2012"},{"key":"bib0005","first-page":"7446","type":"other","article-title":"Predicting dose-volume histograms for organs-at-risk in IMRT planning","volume":"39","author":"Appenzoller","year":"2012"},{"key":"bib0006","first-page":"1241","type":"other","article-title":"Data-driven approach to generating achievable dose\u2013volume histogram objectives in intensity-modulated radiotherapy planning","volume":"79","author":"Wu","year":"2011"},{"key":"bib0007","first-page":"8213","type":"other","article-title":"Patient-specific dosimetric endpoints based treatment plan quality control in radiotherapy","volume":"60","author":"Song","year":"2015"},{"key":"bib0008","type":"other","article-title":"A multicriteria framework with voxel-dependent parameters for radiotherapy treatment plan optimization","volume":"41","author":"Zarepisheh","year":"2014"},{"key":"bib0009","first-page":"378","type":"other","article-title":"Knowledge-based prediction of three-dimensional dose distributions for external beam radiotherapy","volume":"43","author":"Shiraishi","year":"2016"},{"key":"bib0010","first-page":"5926","type":"other","article-title":"Fully automated treatment planning for head and neck radiotherapy using a voxel-based dose prediction and dose mimicking method","volume":"62","author":"Mcintosh","year":"2017"},{"key":"bib0011","first-page":"370","type":"other","article-title":"Automatic treatment planning based on three-dimensional dose distribution predicted from deep learning technique","volume":"45","author":"Fan","year":"2018"},{"key":"bib0012","first-page":"1972","type":"other","article-title":"A deep learning method for prediction of three-dimensional dose distribution of helical tomotherapy","volume":"46","author":"Liu","year":"2003"},{"key":"bib0013","first-page":"111","type":"other","article-title":"Dose prediction using a deep neural network for accelerated planning of rectal cancer radiotherapy","volume":"149","author":"Song","year":"2020"},{"key":"bib0014","first-page":"3898","type":"other","article-title":"Using deep learning to predict beam-tunable Pareto optimal dose distribution for intensity-modulated radiation therapy","volume":"47","author":"Bohara","year":"2020"},{"key":"bib0015","first-page":"7799","type":"other","article-title":"Automated improvement of radiation therapy treatment plans by optimization under reference dose constraints","volume":"57","author":"Fredriksson","year":"2012"},{"key":"bib0016","first-page":"683","type":"other","article-title":"Prediction of three-dimensional dose distribution in intensity-modulated radiation therapy based on neural network learning","volume":"38","author":"Kong","year":"2018"},{"key":"bib0017","first-page":"141426","type":"other","article-title":"OAR dose distribution prediction and gEUD based automatic treatment planning optimization for intensity modulated radiotherapy","volume":"7","author":"Jia","year":"2019"},{"key":"bib0018","type":"other"},{"key":"bib0019","first-page":"1423","type":"other","article-title":"Evolving artificial neural networks","volume":"87","author":"Xin","year":"1999"},{"key":"bib0020","first-page":"6712","type":"other","article-title":"Multicriteria optimization for volumetric-modulated arc therapy by decomposition into a fluence-based relaxation and a segment weight-based restriction","volume":"39","author":"Bokrantz","year":"2012"},{"key":"bib0021","first-page":"407","type":"other","article-title":"A new mathematical approach for handling DVH criteria in IMRT planning","volume":"61","author":"Scherrer","year":"2015"},{"key":"bib0022","type":"other","article-title":"A critical evaluation of worst case optimization methods for robust intensity-modulated proton therapy planning","volume":"41","author":"Fredriksson","year":"2014"},{"key":"bib0023","first-page":"2455","type":"other","article-title":"Evaluation of the gamma dose distribution comparison method","volume":"30","author":"Low","year":"2003"},{"key":"bib0024","type":"other"},{"key":"bib0025","type":"other"},{"key":"bib0026","first-page":"979","type":"other","article-title":"CERR: a computational environment for radiotherapy research","volume":"30","author":"Deasy","year":"2003"},{"key":"bib0027","first-page":"927","type":"other","article-title":"Convergence of the BFGS-SQP method for degenerate problems","volume":"28","author":"Liu","year":"2007"},{"key":"bib0028","first-page":"2611","type":"other","article-title":"Efficiently train and validate a RapidPlan model through APQM scoring","volume":"45","author":"Fusella","year":"2018"}],"container-title":["Medical Engineering & Physics"],"original-title":[],"link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1350453323000668?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1350453323000668?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1016\/j.medengphy.2023.104011","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1016\/j.medengphy.2023.104011\/pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1016\/j.medengphy.2023.104011\/pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1016\/j.medengphy.2023.104011\/pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,22]],"date-time":"2026-01-22T14:59:28Z","timestamp":1769093968000},"score":1,"resource":{"primary":{"URL":"https:\/\/iopscience.iop.org\/article\/10.1016\/j.medengphy.2023.104011"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,24]]},"references-count":28,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2023,6,24]]},"published-print":{"date-parts":[[2023,8,1]]}},"URL":"https:\/\/doi.org\/10.1016\/j.medengphy.2023.104011","relation":{},"ISSN":["1350-4533","1873-4030"],"issn-type":[{"value":"1350-4533","type":"print"},{"value":"1873-4030","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,6,24]]},"assertion":[{"value":"A predicted three-dimensional dose sequence based treatment planning optimization method for gynecologic IMRT","name":"article_title","label":"Article Title"},{"value":"Medical Engineering & Physics","name":"journal_title","label":"Journal Title"},{"value":"paper","name":"article_type","label":"Article Type"},{"value":"\u00a9 2023 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":"2022-12-06","name":"date_received","label":"Date Received","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2023-06-22","name":"date_accepted","label":"Date Accepted","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2023-06-24","name":"date_epub","label":"Online publication date","group":{"name":"publication_dates","label":"Publication dates"}}]}}