{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,22]],"date-time":"2026-03-22T05:50:53Z","timestamp":1774158653036,"version":"3.50.1"},"reference-count":29,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T00:00:00Z","timestamp":1773273600000},"content-version":"vor","delay-in-days":11,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"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":[[2026,3]]},"abstract":"Abstract<\/jats:title>\n \n Purpose<\/jats:title>\n To assess the clinical utility of Smartfuse (Therapanacea, France), a deformable image registration (DIR) algorithm for automatic propagation of target volumes in the context of offline adaptive head\u2010and\u2010neck radiotherapy.<\/jats:p>\n <\/jats:sec>\n \n Materials and methods<\/jats:title>\n \n Ten patients underwent offline re\u2010planning during head\u2010and\u2010neck radiotherapy. Target volumes (GTV and CTV) were manually delineated by radiation oncologists (ROs) on both the initial CT (CT\n i<\/jats:sub>\n ) and one re\u2010planning CT (CT\n R<\/jats:sub>\n ). These manual contours were compared to those propagated by Smartfuse from CT\n i<\/jats:sub>\n to CT\n R<\/jats:sub>\n . The geometric agreement between DIR\u2010propagated and RO\u2010delineated contours was assessed using Dice similarity coefficient (DSC), 95th percentile Hausdorff distance (HD\n 95<\/jats:sub>\n ), and surface Dice similarity coefficient (sDSC) with 0 and 2\u00a0mm thresholds.\n <\/jats:p>\n \n Dosimetric evaluation was conducted by comparing dose distributions from generated plans using automatically propagated target volumes (PTV\n DIR<\/jats:sub>\n ) with reference plans based on RO\u2010delineated targets (PTV\n RO<\/jats:sub>\n ). Coverage of RO\u2010delineated targets (GTV\n RO<\/jats:sub>\n \u00a0+\u00a0CTV\n RO<\/jats:sub>\n and PTV\n RO<\/jats:sub>\n ) was assessed using D95%, D50%, Dmax, and V95% \u2265 95%. Spatial dose differences were analyzed using dose difference (DD) metrics at 5% and 2% thresholds.\n <\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n \n Median DSC, HD\n 95<\/jats:sub>\n , sDSC\n 0 mm<\/jats:sub>\n and sDSC\n 2 mm<\/jats:sub>\n were 0.86, 4.0\u00a0mm, 0.29 and 0.73, respectively. For D\n 95%<\/jats:sub>\n , median relative differences between DIR and RO plans were \u22120.6% for GTV\n RO<\/jats:sub>\n \u00a0+\u00a0CTV\n RO<\/jats:sub>\n and \u22122.1% for PTV\n RO<\/jats:sub>\n for D\n 95%<\/jats:sub>\n . All GTV\n RO<\/jats:sub>\n \u00a0+\u00a0CTV\n RO<\/jats:sub>\n reached V95% \u2265 95% with DIR plans, but only 61% of PTV\n RO<\/jats:sub>\n did. Spatial DD analysis showed median pass rates of 99.2% (DD\n 5%<\/jats:sub>\n ) and 74.5% (DD\n 2%<\/jats:sub>\n ) for GTV\n RO<\/jats:sub>\n \u00a0+\u00a0CTV\n RO<\/jats:sub>\n , and 85.5% (DD\n 5%<\/jats:sub>\n ) and 54.9% (DD\n 2%<\/jats:sub>\n ) for PTV\n RO<\/jats:sub>\n .\n <\/jats:p>\n <\/jats:sec>\n \n Conclusion<\/jats:title>\n Smartfuse may facilitate efficient propagation of target volumes in this study. However, medical review of auto\u2010propagated volumes remains essential, as dosimetric discrepancies may arise when relying solely on automatically generated PTV.<\/jats:p>\n <\/jats:sec>","DOI":"10.1002\/acm2.70479","type":"journal-article","created":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T02:31:32Z","timestamp":1773369092000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Automatic target volume segmentation for offline adaptive head\u2013and\u2010neck radiotherapy"],"prefix":"10.1002","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-7945-7410","authenticated-orcid":false,"given":"Gilles","family":"Moliner","sequence":"first","affiliation":[{"name":"Department of Radiotherapy Oncology Division Car\u00e9meau University Hospital N\u00eemes France"},{"name":"Medical Physics Unit Car\u00e9meau University Hospital N\u00eemes 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