{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T17:18:13Z","timestamp":1778779093811,"version":"3.51.4"},"reference-count":47,"publisher":"IOP Publishing","issue":"5","license":[{"start":{"date-parts":[[2024,2,29]],"date-time":"2024-02-29T00:00:00Z","timestamp":1709164800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/publishingsupport.iopscience.iop.org\/iop-standard\/v1"},{"start":{"date-parts":[[2024,2,29]],"date-time":"2024-02-29T00:00:00Z","timestamp":1709164800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/iopscience.iop.org\/info\/page\/text-and-data-mining"}],"content-domain":{"domain":["iopscience.iop.org"],"crossmark-restriction":false},"short-container-title":["Phys. Med. Biol."],"published-print":{"date-parts":[[2024,3,7]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    <jats:italic>Objective<\/jats:italic>\n                    . For response-adapted adaptive radiotherapy (R-ART), promising biomarkers are needed to predict post-radiotherapy (post-RT) responses using routine clinical information obtained during RT. In this study, a patient-specific biomechanical model (BM) of the head and neck squamous cell carcinoma (HNSCC) was proposed using the pre-RT maximum standardized uptake value (SUV\n                    <jats:sub>max<\/jats:sub>\n                    ) of\n                    <jats:sup>18<\/jats:sup>\n                    F-fluorodeoxyglucose (FDG) and tumor structural changes during RT as evaluated using computed tomography (CT). In addition, we evaluated the predictive performance of BM-driven imaging biomarkers for the treatment response of patients with HNSCC who underwent concurrent chemoradiotherapy (CCRT).\n                    <jats:italic>Approach<\/jats:italic>\n                    . Patients with histologically confirmed HNSCC treated with definitive CCRT were enrolled in this study. All patients underwent CT two times as follows: before the start of RT (pre-RT) and 3 weeks after the start of RT (mid-RT). Among these patients, 67 patients who underwent positron emission tomography\/CT during the pre-RT period were included in the final analysis. The locoregional control (LC), progression-free survival (PFS), and overall survival (OS) prediction performances of whole tumor stress change (TS) between pre- and mid-RT computed using BM were assessed using univariate, multivariate, and Kaplan\u2013Meier survival curve analyses, respectively. Furthermore, performance was compared with the pre and post-RT SUV\n                    <jats:sub>max<\/jats:sub>\n                    , tumor volume reduction rate (TVRR) during RT, and other clinical prognostic factors.\n                    <jats:italic>Main results<\/jats:italic>\n                    . For both univariate, multivariate, and survival curve analyses, the significant prognostic factors were as follows (\n                    <jats:italic>p<\/jats:italic>\n                    &lt; 0.05): TS and TVRR for LC; TS and pre-RT FDG-SUV\n                    <jats:sub>max<\/jats:sub>\n                    for PFS; and TS only for OS. In addition, for 2 year LC, PFS, and OS prediction, TS showed a comparable predictive performance to post-RT FDG-SUV\n                    <jats:sub>max<\/jats:sub>\n                    .\n                    <jats:italic>Significance<\/jats:italic>\n                    . BM-driven TS is an effective prognostic factor for tumor treatment response after CCRT. The proposed method can be a feasible functional imaging biomarker that can be acquired during RT using only routine clinical data and may provide useful information for decision-making during R-ART.\n                  <\/jats:p>","DOI":"10.1088\/1361-6560\/ad29b9","type":"journal-article","created":{"date-parts":[[2024,2,15]],"date-time":"2024-02-15T17:25:38Z","timestamp":1708017938000},"page":"055033","update-policy":"https:\/\/doi.org\/10.1088\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Biomechanical imaging biomarker during chemoradiotherapy predicts treatment response in head and neck squamous cell carcinoma"],"prefix":"10.1088","volume":"69","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7498-1409","authenticated-orcid":false,"given":"Koya","family":"Fujimoto","sequence":"first","affiliation":[{"name":"Yamaguchi University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0246-8489","authenticated-orcid":false,"given":"Takehiro","family":"Shiinoki","sequence":"additional","affiliation":[{"name":"Yamaguchi University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yusuke","family":"Kawazoe","sequence":"additional","affiliation":[{"name":"Yamaguchi University"},{"name":"Yamaguchi University Hospital"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuki","family":"Yuasa","sequence":"additional","affiliation":[{"name":"Yamaguchi University Hospital"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wataru","family":"Mukaidani","sequence":"additional","affiliation":[{"name":"Yamaguchi University Hospital"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuki","family":"Manabe","sequence":"additional","affiliation":[{"name":"Yamaguchi University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Miki","family":"Kajima","sequence":"additional","affiliation":[{"name":"Yamaguchi University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hidekazu","family":"Tanaka","sequence":"additional","affiliation":[{"name":"Yamaguchi University"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"266","published-online":{"date-parts":[[2024,2,29]]},"reference":[{"key":"pmbad29b9bib1","doi-asserted-by":"publisher","first-page":"1097","DOI":"10.1016\/j.jacr.2018.05.006","type":"journal-article","article-title":"ACR neck imaging reporting and data systems (NI-RADS): a white paper of the ACR NI-RADS committee","volume":"15","author":"Aiken","year":"2018","journal-title":"J. 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