{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,12]],"date-time":"2025-11-12T14:19:06Z","timestamp":1762957146415,"version":"3.41.2"},"reference-count":53,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2023,4,9]],"date-time":"2023-04-09T00:00:00Z","timestamp":1680998400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001659","name":"Deutsche Forschungsgemeinschaft","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001659","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["aapm.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J Applied Clin Med Phys"],"published-print":{"date-parts":[[2023,8]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Radiotherapy with protons or light ions can offer accurate and precise treatment delivery. Accurate knowledge of the stopping power ratio (SPR) distribution of the tissues in the patient is crucial for improving dose prediction in patients during planning. However, materials of uncertain stoichiometric composition such as dental implant and restoration materials can substantially impair particle therapy treatment planning due to related SPR prediction uncertainties. This study investigated the impact of using dual\u2010energy computed tomography (DECT) imaging for characterizing and compensating for commonly used dental implant and restoration materials during particle therapy treatment planning. Radiological material parameters of ten common dental materials were determined using two different DECT techniques: sequential acquisition CT (SACT) and dual\u2010layer spectral CT (DLCT). DECT\u2010based direct SPR predictions of dental materials via spectral image data were compared to conventional single\u2010energy CT (SECT)\u2010based SPR predictions obtained via indirect CT\u2010number\u2010to\u2010SPR conversion. DECT techniques were found overall to reduce uncertainty in SPR predictions in dental implant and restoration materials compared to SECT, although DECT methods showed limitations for materials containing elements of a high atomic number. To assess the influence on treatment planning, an anthropomorphic head phantom with a removable tooth containing lithium disilicate as a dental material was used. The results indicated that both DECT techniques predicted similar ranges for beams unobstructed by dental material in the head phantom. When ion beams passed through the lithium disilicate restoration, DLCT\u2010based SPR predictions using a projection\u2010based method showed better agreement with measured reference SPR values (range deviation: 0.2\u00a0mm) compared to SECT\u2010based predictions. DECT\u2010based SPR prediction may improve the management of certain non\u2010tissue dental implant and restoration materials and subsequently increase dose prediction accuracy.<\/jats:p>","DOI":"10.1002\/acm2.13977","type":"journal-article","created":{"date-parts":[[2023,4,10]],"date-time":"2023-04-10T05:40:27Z","timestamp":1681105227000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Dual\u2010energy CT\u2010based stopping power prediction for dental materials in particle therapy"],"prefix":"10.1002","volume":"24","author":[{"given":"Friderike K.","family":"Longarino","sequence":"first","affiliation":[{"name":"Clinical Cooperation Unit Radiation Oncology German Cancer Research Center (DKFZ)  Heidelberg Germany"},{"name":"Department of Radiation Oncology Heidelberg University Hospital  Heidelberg Germany"},{"name":"Department of Physics and Astronomy Heidelberg University  Heidelberg 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