{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T20:15:21Z","timestamp":1773000921324,"version":"3.50.1"},"reference-count":11,"publisher":"Wiley","issue":"10","license":[{"start":{"date-parts":[[2025,9,25]],"date-time":"2025-09-25T00:00:00Z","timestamp":1758758400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2025,9,25]],"date-time":"2025-09-25T00:00:00Z","timestamp":1758758400000},"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":["Medical Physics"],"published-print":{"date-parts":[[2025,10]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Deformable dose accumulation (DDA) uncertainty models can inform treatment decisions by communicating the dosimetric impact of deformable image registration (DIR) errors over multiple fractions. Currently there is limited guidance on how end\u2010users can validate such models in the clinic.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>We propose an end\u2010user validation sequence for DDA uncertainty modelling tools, akin to an acceptance test, using existing patient data and a clinical treatment planning system (TPS) as the evaluation platform.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>The proposed test sequence begins with a single \u201cfixed\u201d image (planning CT with associated contours and treatment plan) and a \u201cmoving\u201d image (e.g., fractional synthetic CT with calculated dose) and uses the TPS to simulate multiple fractional DIRs as input to a DDA uncertainty model. Outputs of the uncertainty tool\u2014including volumetric images of DIR spatial uncertainties, and associated uncertainties on propagated dose\u2014are imported back to the TPS and a series of visual and semi\u2010quantitative (point\u2010based and DVH\u2010based) cross\u2010checks are carried out. Emphasis is placed on the use of standard dose and distance measurement tools, in conjunction with vendor\u2010provided equations, to evaluate correctness of the uncertainty tool outputs at contour boundaries and in bulk tissue, considering variable DIR quality for both targets and organs at risk.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The test sequence is demonstrated for a non\u2010clinical uncertainty tool using a clinical bladder case. Agreement within 2 voxels (for spatial uncertainties) and up to 5% of the prescribed dose (for dose uncertainties) is shown to be achievable for regions of plausible deformation and stable dose gradient (e.g.,\u00a0&lt;\u00a05%\/voxel).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>As the use of DDA in adaptive treatment becomes more commonplace, use of DDA uncertainty tools will become increasingly important to inform adaptive treatment decisions. This work represents an important effort to formalize an end\u2010user validation process using standardly available clinical tools.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/mp.18094","type":"journal-article","created":{"date-parts":[[2025,9,26]],"date-time":"2025-09-26T04:41:04Z","timestamp":1758861664000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Method for end\u2010user validation of deformable dose accumulation uncertainty modelling tools"],"prefix":"10.1002","volume":"52","author":[{"given":"John","family":"Kipritidis","sequence":"first","affiliation":[{"name":"Department of Radiation Oncology Northern Sydney Cancer Center  Sydney Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alexandra","family":"Quinn","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology Northern Sydney Cancer Center  Sydney Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tomasz","family":"Morgas","sequence":"additional","affiliation":[{"name":"Varian Medical Systems Siemens Healthcare  Palo Alto California USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sven","family":"Kuckertz","sequence":"additional","affiliation":[{"name":"Fraunhofer MEVIS  Lubeck DE Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nils","family":"Papenberg","sequence":"additional","affiliation":[{"name":"Fraunhofer MEVIS  Lubeck DE Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stefan","family":"Heldmann","sequence":"additional","affiliation":[{"name":"Fraunhofer MEVIS  Lubeck DE Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nasim","family":"Givehchi","sequence":"additional","affiliation":[{"name":"Varian Medical Systems Siemens Healthcare  Palo Alto California USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thomas","family":"Coradi","sequence":"additional","affiliation":[{"name":"Varian Medical Systems Siemens Healthcare  Palo Alto California USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jeremy T.","family":"Booth","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology Northern Sydney Cancer Center  Sydney 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