{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,15]],"date-time":"2026-08-15T20:06:54Z","timestamp":1786824414973,"version":"build-2736575974"},"reference-count":26,"publisher":"Elsevier BV","issue":"1","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2022,10,20]],"date-time":"2022-10-20T00:00:00Z","timestamp":1666224000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000048","name":"American Cancer Society","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000048","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100011621","name":"Winship Cancer Institute","doi-asserted-by":"publisher","award":["IRG-21-137-07 -IRG"],"award-info":[{"award-number":["IRG-21-137-07 -IRG"]}],"id":[{"id":"10.13039\/100011621","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","meddos.org","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Medical Dosimetry"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1016\/j.meddos.2022.10.002","type":"journal-article","created":{"date-parts":[[2022,11,16]],"date-time":"2022-11-16T03:15:07Z","timestamp":1668568507000},"page":"44-50","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":6,"title":["Evaluating the plan quality of a general head-and-neck knowledge-based planning model versus separate unilateral\/bilateral models"],"prefix":"10.1016","volume":"48","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3781-6666","authenticated-orcid":false,"given":"Kirk","family":"Luca","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Justin","family":"Roper","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jonathan","family":"Wolf","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Oluwatosin","family":"Kayode","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jeffrey","family":"Bradley","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"William A.","family":"Stokes","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4288-6503","authenticated-orcid":false,"given":"Jiahan","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.meddos.2022.10.002_bib0001","unstructured":"Radiotherapy Treatments for Head and Neck Cancer: Update. 2014; Available from: https:\/\/effectivehealthcare.ahrq.gov\/products\/head-neck-cancer-update\/research-protocol#:\u223c:text=Radiation%20therapy%20is%20the%20mainstay,significant%20long%20term%20side%20effects."},{"key":"10.1016\/j.meddos.2022.10.002_bib0002","unstructured":"Mills, M., Executive summary - medical dosimetry workforce study. 2021."},{"key":"10.1016\/j.meddos.2022.10.002_bib0003","doi-asserted-by":"crossref","first-page":"2996","DOI":"10.1200\/JCO.2009.27.4498","article-title":"Critical impact of radiotherapy protocol compliance and quality in the treatment of advanced head and neck cancer: Results from TROG 02.02","volume":"28","author":"Peters","year":"2010","journal-title":"J Clin Oncol"},{"key":"10.1016\/j.meddos.2022.10.002_bib0004","doi-asserted-by":"crossref","first-page":"1241","DOI":"10.1016\/j.ijrobp.2010.05.026","article-title":"Data-driven approach to generating achievable dose\u2013volume histogram objectives in intensity-modulated radiotherapy planning","volume":"79","author":"Wu","year":"2011","journal-title":"Int J Radiat Oncol Biol Phys"},{"key":"10.1016\/j.meddos.2022.10.002_bib0005","doi-asserted-by":"crossref","unstructured":"Wu, B., et al. Using overlap volume histogram and IMRT plan data to guide and automate VMAT planning: A head-and-neck case study. 2013. 40:021714.","DOI":"10.1118\/1.4788671"},{"key":"10.1016\/j.meddos.2022.10.002_bib0006","doi-asserted-by":"crossref","DOI":"10.1177\/1533033819857758","article-title":"Knowledge-based statistical inference method for plan quality quantification","volume":"18","author":"Zhang","year":"2019","journal-title":"Technol Cancer Res Treat"},{"key":"10.1016\/j.meddos.2022.10.002_bib0007","doi-asserted-by":"crossref","first-page":"1095","DOI":"10.1016\/j.ijrobp.2019.12.034","article-title":"Knowledge-Based Tradeoff Hyperplanes for Head and Neck Treatment Planning","volume":"106","author":"Zhang","year":"2020","journal-title":"Int J Radiat Oncol Biol Phys"},{"key":"10.1016\/j.meddos.2022.10.002_bib0008","doi-asserted-by":"crossref","first-page":"2515","DOI":"10.1118\/1.3574874","article-title":"Knowledge-based IMRT treatment planning for prostate cancer","volume":"38","author":"Chanyavanich","year":"2011","journal-title":"Med Phys"},{"key":"10.1016\/j.meddos.2022.10.002_bib0009","doi-asserted-by":"crossref","unstructured":"Zhu, X., et al. A planning quality evaluation tool for prostate adaptive IMRT based on machine learning. 2011. 38:719-726.","DOI":"10.1118\/1.3539749"},{"key":"10.1016\/j.meddos.2022.10.002_bib0010","doi-asserted-by":"crossref","first-page":"7446","DOI":"10.1118\/1.4761864","article-title":"Predicting dose-volume histograms for organs-at-risk in IMRT planning","volume":"39","author":"Appenzoller","year":"2012","journal-title":"Med Phys"},{"key":"10.1016\/j.meddos.2022.10.002_bib0011","doi-asserted-by":"crossref","unstructured":"Yuan, L., et al. Quantitative analysis of the factors which affect the interpatient organ-at-risk dose sparing variation in IMRT plans. 2012. 39:6868-6878.","DOI":"10.1118\/1.4757927"},{"key":"10.1016\/j.meddos.2022.10.002_bib0012","doi-asserted-by":"crossref","first-page":"3812","DOI":"10.1002\/mp.13679","article-title":"Modeling of multiple planning target volumes for head and neck treatments in knowledge-based treatment planning","volume":"46","author":"Zhang","year":"2019","journal-title":"Med Phys"},{"key":"10.1016\/j.meddos.2022.10.002_bib0013","doi-asserted-by":"crossref","DOI":"10.1088\/1361-6560\/ab039b","article-title":"3D radiotherapy dose prediction on head and neck cancer patients with a hierarchically densely connected U-net deep learning architecture","volume":"64","author":"Nguyen","year":"2019","journal-title":"Phys Med Biol"},{"key":"10.1016\/j.meddos.2022.10.002_bib0014","doi-asserted-by":"crossref","DOI":"10.3389\/frai.2021.624038","article-title":"A novel machine learning model for dose prediction in prostate volumetric modulated arc therapy using output initialization and optimization priorities","volume":"4","author":"Jensen","year":"2021","journal-title":"Front Artif Intell"},{"key":"10.1016\/j.meddos.2022.10.002_bib0015","doi-asserted-by":"crossref","DOI":"10.1088\/1361-6560\/aba5eb","article-title":"Automatic IMRT planning via static field fluence prediction (AIP-SFFP): A deep learning algorithm for real-time prostate treatment planning","volume":"65","author":"Li","year":"2020","journal-title":"Phys Med Biol"},{"key":"10.1016\/j.meddos.2022.10.002_bib0016","doi-asserted-by":"crossref","DOI":"10.3389\/frai.2020.00068","article-title":"Fluence map prediction using deep learning models \u2013 direct plan generation for pancreas stereotactic body radiation therapy","volume":"3","author":"Wang","year":"2020","journal-title":"Front Artif Intell"},{"key":"10.1016\/j.meddos.2022.10.002_bib0017","doi-asserted-by":"crossref","DOI":"10.1088\/1361-6560\/abc12c","article-title":"Deep learning-based inverse mapping for fluence map prediction","volume":"65","author":"Ma","year":"2020","journal-title":"Phys Med Biol"},{"key":"10.1016\/j.meddos.2022.10.002_bib0018","doi-asserted-by":"crossref","DOI":"10.1088\/1361-6560\/ac09a2","article-title":"A hierarchical deep reinforcement learning framework for intelligent automatic treatment planning of prostate cancer intensity modulated radiation therapy","volume":"66","author":"Shen","year":"2021","journal-title":"Phys Med Biol"},{"key":"10.1016\/j.meddos.2022.10.002_bib0019","doi-asserted-by":"crossref","first-page":"1076","DOI":"10.1016\/j.ijrobp.2020.10.019","article-title":"An interpretable planning bot for pancreas stereotactic body radiation therapy","volume":"109","author":"Zhang","year":"2021","journal-title":"Int J Radiat Oncol Biol Phys"},{"key":"10.1016\/j.meddos.2022.10.002_bib0020","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1016\/j.ejmp.2017.06.026","article-title":"Dosimetric comparison of RapidPlan and manually optimized plans in volumetric modulated arc therapy for prostate cancer","volume":"44","author":"Kubo","year":"2017","journal-title":"Phys Med"},{"key":"10.1016\/j.meddos.2022.10.002_bib0021","doi-asserted-by":"crossref","first-page":"981","DOI":"10.1016\/j.ijrobp.2016.02.017","article-title":"Comparison of planning quality and efficiency between conventional and knowledge-based algorithms in nasopharyngeal cancer patients using intensity modulated radiation therapy","volume":"95","author":"Chang","year":"2016","journal-title":"Int J Radiat Oncol Biol Phys"},{"key":"10.1016\/j.meddos.2022.10.002_bib0022","doi-asserted-by":"crossref","first-page":"612","DOI":"10.1016\/j.ijrobp.2014.11.014","article-title":"Evaluation of a knowledge-based planning solution for head and neck cancer","volume":"91","author":"Tol","year":"2015","journal-title":"Int J Radiat Oncol Biol Phys"},{"key":"10.1016\/j.meddos.2022.10.002_bib0023","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1186\/s13014-018-0996-z","article-title":"Knowledge-based IMRT planning for individual liver cancer patients using a novel specific model","volume":"13","author":"Yu","year":"2018","journal-title":"Radiat Oncol"},{"key":"10.1016\/j.meddos.2022.10.002_bib0024","doi-asserted-by":"crossref","first-page":"430","DOI":"10.1016\/j.ijrobp.2019.10.036","article-title":"Noninferiority study of automated knowledge-based planning versus human-driven optimization across multiple disease sites","volume":"106","author":"Cornell","year":"2020","journal-title":"Int J Radiat Oncol Biol Phys"},{"key":"10.1016\/j.meddos.2022.10.002_bib0025","doi-asserted-by":"crossref","first-page":"469","DOI":"10.1016\/j.ijrobp.2015.11.011","article-title":"Effect of dosimetric outliers on the performance of a commercial knowledge-based planning solution","volume":"94","author":"Delaney","year":"2016","journal-title":"Int J Radiat Oncol Biol Phys"},{"key":"10.1016\/j.meddos.2022.10.002_bib0026","doi-asserted-by":"crossref","first-page":"84","DOI":"10.3857\/roj.2020.00213","article-title":"Late side effects of radiation treatment for head and neck cancer","volume":"38","author":"Brook","year":"2020","journal-title":"Radiat Oncol J"}],"container-title":["Medical Dosimetry"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0958394722000863?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0958394722000863?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T09:32:20Z","timestamp":1760693540000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0958394722000863"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":26,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2023]]}},"alternative-id":["S0958394722000863"],"URL":"https:\/\/doi.org\/10.1016\/j.meddos.2022.10.002","relation":{},"ISSN":["0958-3947"],"issn-type":[{"value":"0958-3947","type":"print"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Evaluating the plan quality of a general head-and-neck knowledge-based planning model versus separate unilateral\/bilateral models","name":"articletitle","label":"Article Title"},{"value":"Medical Dosimetry","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.meddos.2022.10.002","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2022 The Authors. Published by Elsevier Inc. on behalf of American Association of Medical Dosimetrists.","name":"copyright","label":"Copyright"}]}}