{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T17:26:49Z","timestamp":1783013209691,"version":"3.54.6"},"reference-count":16,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2026,4,6]],"date-time":"2026-04-06T00:00:00Z","timestamp":1775433600000},"content-version":"vor","delay-in-days":5,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["aapm.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J Applied Clin Med Phys"],"published-print":{"date-parts":[[2026,4]]},"abstract":"Abstract<\/jats:title>\n \n Purpose<\/jats:title>\n Adaptive radiotherapy (ART) is limited by the absence of reliable thresholds to trigger necessary plan adaptation. This work develops and verifies a web\u2010based, database\u2010backed dashboard that unifies geometric, dosimetric, and radiobiological metrics to support day\u2010to\u2010day ART decisions.<\/jats:p>\n <\/jats:sec>\n \n Methods<\/jats:title>\n \n Ten retrospectively selected patients were analyzed (Head and Neck (H&N),\n n\u00a0<\/jats:italic>\n =\u00a05, 30\u201335 fx; prostate MR\u2010linac,\n n\u00a0<\/jats:italic>\n =\u00a05, 5 fx). Daily dose was recalculated on CBCT\u2010derived pseudo\u2010CTs (pCT) (H&N) or on daily MR images (prostate). A Python\/Dash dashboard with a PostgreSQL backend takes in RTStruct\/RTDose, then performs structure name harmonization, computes per\u2010fraction DVHs, and derives five radar\u2010chart metrics: organ central point displacement, interfraction Dice (reported as 1\u2013Dice), intrafraction Dice (OAR\u2013PTV overlap vs reference), objective score (deviation from plan objectives), and a radiobiology score using TCP\/NTCP to calculate\n PI, PB<\/jats:italic>\n , and\n P<\/jats:italic>\n +. Residuals, defined as the difference between the reference metric (MIM) and the corresponding dashboard calculated value (MIM\u2014Dashboard), were calculated to assess agreement. Calculations were verified against MIM Maestro using residual plots, paired\n t<\/jats:italic>\n \u2010tests (\n \u03b1\u00a0<\/jats:italic>\n =\u00a00.05), and effect sizes.\n <\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n \n Central point residuals were negligible (mean\u00a0\n <<\/jats:italic>\n \u00a00.05\u00a0mm on all axes; max 0.45\u00a0mm). Interfraction Dice mean absolute difference was 0.08 (max 0.83); intrafraction Dice differences were smaller (overall mean residual \u22120.01). For score card dose endpoints, the largest mean difference was at D99.9% (1.31\u00a0Gy; 2.08%\u2014below TG\u2010114\u2032s 5% action level). Percent\u2010volume endpoints showed small residuals (overall mean +0.32%); absolute\u2010volume endpoints were near zero (overall mean +0.05 cm\n 3<\/jats:sup>\n ). Radiobiology residuals were modest (mean:\n PI<\/jats:italic>\n +1.78%,\n P<\/jats:italic>\n + \u22121.11%,\n PB<\/jats:italic>\n +0.86%) with occasional outliers (max\n PI<\/jats:italic>\n 8.69%). Three metrics reached statistical significance (central point, intra\u2010\/inter\u2010fraction Dice), but effect sizes were negligible to small.\n <\/jats:p>\n <\/jats:sec>\n \n Conclusions<\/jats:title>\n The dashboard reproduces geometric, DVH, objective, and radiobiology metrics within acceptable limits relative to MIM, providing a credible foundation for ART decision support. Limitations include the projected DVH being a visualization (not dose accumulation) and radiobiology sensitivity to DVH sampling in steep gradients.<\/jats:p>\n <\/jats:sec>","DOI":"10.1002\/acm2.70546","type":"journal-article","created":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T03:05:40Z","timestamp":1775531140000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Developing a web\u2010based dashboard for adaptive radiotherapy workflows"],"prefix":"10.1002","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8047-7551","authenticated-orcid":false,"given":"Chloe","family":"DiTusa","sequence":"first","affiliation":[{"name":"Physics Department Louisiana State University Baton Rouge Louisiana USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ara","family":"Alexandrian","sequence":"additional","affiliation":[{"name":"Mary Bird Perkins Cancer Center Baton Rouge Louisiana USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9066-5123","authenticated-orcid":false,"given":"Panayiotis","family":"Mavroidis","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology University of North Carolina Chapel Hill North Carolina USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Emma","family":"Sargent","sequence":"additional","affiliation":[{"name":"Physics Department Louisiana State University Baton Rouge Louisiana USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael","family":"Allen","sequence":"additional","affiliation":[{"name":"CARTS Louisiana State University Baton Rouge Louisiana USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christopher W.","family":"Schneider","sequence":"additional","affiliation":[{"name":"Mary Bird Perkins Cancer Center Baton Rouge Louisiana USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1639-5452","authenticated-orcid":false,"given":"Sotiri","family":"Stathakis","sequence":"additional","affiliation":[{"name":"Mary Bird Perkins Cancer Center Baton Rouge Louisiana USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,4,6]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijrobp.2017.04.023"},{"key":"e_1_2_9_3_1","first-page":"1","article-title":"Prescribing, recording, and reporting photon beam therapy (Supplement to ICRU Report 50)","volume":"74","author":"ICRU","year":"2001","journal-title":"Br J Radiol"},{"key":"e_1_2_9_4_1","doi-asserted-by":"publisher","DOI":"10.1102\/1470\u20107330.2004.0054"},{"key":"e_1_2_9_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.semradonc.2019.02.004"},{"key":"e_1_2_9_6_1","doi-asserted-by":"publisher","DOI":"10.1186\/1748\u2010717X\u20108\u201078"},{"key":"e_1_2_9_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijrobp.2006.01.050"},{"key":"e_1_2_9_8_1","doi-asserted-by":"publisher","DOI":"10.1118\/1.4754653"},{"key":"e_1_2_9_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijrobp.2024.07.1237"},{"key":"e_1_2_9_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/s13246\u2010024\u201001434\u20109"},{"key":"e_1_2_9_11_1","unstructured":"TheraPanacea.AdaptBox: AI\u2010Powered Offline Adaptive Workflow Company product page 2025. Accessed September 30 2025."},{"key":"e_1_2_9_12_1","first-page":"1460","article-title":"A quantitative measure for radiation treatment plan quality","volume":"23","author":"Anna LL","year":"2018","journal-title":"J Buon"},{"key":"e_1_2_9_13_1","unstructured":"AAPM Task Group 166.The Use and Quality Assurance of Biologically Related Models for Treatment Planning tech. rep.American Association of Physicists in Medicine 2012. Accessed October 1 2025."},{"key":"e_1_2_9_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.radonc.2020.03.003"},{"key":"e_1_2_9_15_1","doi-asserted-by":"publisher","DOI":"10.4097\/kjae.2015.68.6.540"},{"key":"e_1_2_9_16_1","doi-asserted-by":"publisher","DOI":"10.20982\/tqmp.14.4.p242"},{"key":"e_1_2_9_17_1","doi-asserted-by":"publisher","DOI":"10.1118\/1.3521473"}],"container-title":["Journal of Applied Clinical Medical Physics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/aapm.onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/acm2.70546","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/aapm.onlinelibrary.wiley.com\/doi\/full-xml\/10.1002\/acm2.70546","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/aapm.onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/acm2.70546","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T17:10:19Z","timestamp":1783012219000},"score":1,"resource":{"primary":{"URL":"https:\/\/aapm.onlinelibrary.wiley.com\/doi\/10.1002\/acm2.70546"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4]]},"references-count":16,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2026,4]]}},"alternative-id":["10.1002\/acm2.70546"],"URL":"https:\/\/doi.org\/10.1002\/acm2.70546","archive":["Portico"],"relation":{},"ISSN":["1526-9914","1526-9914"],"issn-type":[{"value":"1526-9914","type":"print"},{"value":"1526-9914","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,4]]},"assertion":[{"value":"2025-09-15","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2026-03-02","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2026-04-06","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"e70546"}}