{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,3]],"date-time":"2026-11-03T07:30:14Z","timestamp":1793691014277,"version":"4.5.1"},"reference-count":37,"publisher":"IOP Publishing","issue":"21","license":[{"start":{"date-parts":[[2026,11,3]],"date-time":"2026-11-03T00:00:00Z","timestamp":1793664000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/publishingsupport.iopscience.iop.org\/iop-standard\/v1"},{"start":{"date-parts":[[2026,11,3]],"date-time":"2026-11-03T00:00:00Z","timestamp":1793664000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/iopscience.iop.org\/info\/page\/text-and-data-mining"}],"funder":[{"name":"National Natural Science Foundation of China","award":["12505391"],"award-info":[{"award-number":["12505391"]}],"id":[{"id":"https:\/\/ror.org\/01h0zpd94","id-type":"ROR","asserted-by":"crossref"}]}],"content-domain":{"domain":["iopscience.iop.org"],"crossmark-restriction":false},"short-container-title":["Phys. Med. Biol."],"published-print":{"date-parts":[[2026,11,14]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    <jats:italic>Objective<\/jats:italic>\n                    . Proton boron capture therapy (PBCT) studies focus on physical dose enhancement or biological observations, while quantitative prediction of biological effectiveness remains limited. This study aimed to establish a framework combining Monte Carlo (MC) simulation, nanodosimetry, and radiobiological experiments to evaluate the relative biological effectiveness (RBE) of PBCT.\n                    <jats:italic>Approach<\/jats:italic>\n                    . Geant4-based MC simulations and a pre-calculated nanodosimetric database were used to determine mixed-field nanodosimetric parameters, including\n                    <jats:italic>M<\/jats:italic>\n                    <jats:sub>1<\/jats:sub>\n                    ,\n                    <jats:italic>M<\/jats:italic>\n                    <jats:sub>2<\/jats:sub>\n                    , and\n                    <jats:italic>F<\/jats:italic>\n                    <jats:sub>2<\/jats:sub>\n                    . Clonogenic survival experiments were performed using a clinical 70 MeV proton beam and a 6 MV photon beam. U-87 MG cells were irradiated with photons, protons, and PBCT at 0, 2, 4, 6, and 8 Gy using boronophenylalanine (BPA, 21.0 ppm\n                    <jats:sup>11<\/jats:sup>\n                    B). Survival data were fitted with the linear\u2013quadratic model, and the resulting\n                    <jats:italic>\u03b1<\/jats:italic>\n                    and\n                    <jats:italic>\u03b2<\/jats:italic>\n                    values were used to optimize the logistic nanodosimetry model (LNDM) for depth-dependent RBE prediction.\n                    <jats:italic>Main results<\/jats:italic>\n                    . The LNDM, combined with MC-derived nanodosimetric parameters and experimental survival data, reproduced the measured radiobiological response with differences in\n                    <jats:italic>\u03b1<\/jats:italic>\n                    and\n                    <jats:italic>\u03b2<\/jats:italic>\n                    below 0.5% at the experimental cell position, corresponding to a water-equivalent depth of 3.9 cm and located on the rising edge of the Bragg peak. PBCT consistently exhibited higher\n                    <jats:italic>\u03b1<\/jats:italic>\n                    and RBE values than proton irradiation across the investigated linear energy transfer (LET) range. At 3.9 cm, PBCT increased RBE by 8.7% compared with protons. For the 70 MeV beam, PBCT yielded\n                    <jats:italic>\u03b1<\/jats:italic>\n                    = 0.116 Gy\n                    <jats:sup>\u22121<\/jats:sup>\n                    ,\n                    <jats:italic>\u03b2<\/jats:italic>\n                    = 0.023 Gy\n                    <jats:sup>\u22122<\/jats:sup>\n                    , and RBE = 1.25, compared with\n                    <jats:italic>\u03b1<\/jats:italic>\n                    = 0.076 Gy\n                    <jats:sup>\u22121<\/jats:sup>\n                    ,\n                    <jats:italic>\u03b2<\/jats:italic>\n                    = 0.023 Gy\n                    <jats:sup>\u22122<\/jats:sup>\n                    , and RBE = 1.15 for proton therapy.\n                    <jats:italic>Significance<\/jats:italic>\n                    . An experimentally calibrated framework integrating MC simulation, nanodosimetry, radiobiological experiments, and the LNDM was established for LET-dependent PBCT RBE prediction based on biological calibration data. PBCT showed consistently higher RBE than proton therapy, with a greater advantage at higher LET, supporting future biological optimization of PBCT.\n                  <\/jats:p>","DOI":"10.1088\/1361-6560\/aeb797","type":"journal-article","created":{"date-parts":[[2026,10,21]],"date-time":"2026-10-21T23:00:18Z","timestamp":1792623618000},"page":"215015","update-policy":"https:\/\/doi.org\/10.1088\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["An experimentally calibrated nanodosimetry-based framework for predicting LET-dependent relative biological effectiveness in proton boron capture therapy"],"prefix":"10.1088","volume":"71","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3986-5127","authenticated-orcid":true,"given":"Junxiang","family":"Wu","sequence":"first","affiliation":[{"name":"Sichuan University"},{"name":"University of Electronic Science and Technology of China"}],"role":[{"vocabulary":"crossref","role":"author"},{"role":"formal-analysis","vocabulary":"credit"},{"role":"methodology","vocabulary":"credit"},{"role":"writing-original-draft","vocabulary":"credit"}]},{"given":"Zhencen","family":"He","sequence":"additional","affiliation":[{"name":"Sichuan University"}],"role":[{"vocabulary":"crossref","role":"author"},{"role":"conceptualization","vocabulary":"credit"},{"role":"methodology","vocabulary":"credit"}]},{"given":"Zhao","family":"Sun","sequence":"additional","affiliation":[{"name":"Sichuan University"}],"role":[{"vocabulary":"crossref","role":"author"},{"role":"formal-analysis","vocabulary":"credit"},{"role":"methodology","vocabulary":"credit"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-8092-4767","authenticated-orcid":true,"given":"Lang","family":"Dong","sequence":"additional","affiliation":[{"name":"Sichuan University"}],"role":[{"vocabulary":"crossref","role":"author"},{"role":"formal-analysis","vocabulary":"credit"},{"role":"methodology","vocabulary":"credit"}]},{"given":"Tianle","family":"Wang","sequence":"additional","affiliation":[{"name":"Sichuan University"}],"role":[{"vocabulary":"crossref","role":"author"},{"role":"formal-analysis","vocabulary":"credit"},{"role":"methodology","vocabulary":"credit"}]},{"given":"Jiajun","family":"Kang","sequence":"additional","affiliation":[{"name":"Sichuan University"}],"role":[{"vocabulary":"crossref","role":"author"},{"role":"formal-analysis","vocabulary":"credit"}]},{"given":"Liyuan","family":"Deng","sequence":"additional","affiliation":[{"name":"Sichuan University"}],"role":[{"vocabulary":"crossref","role":"author"},{"role":"formal-analysis","vocabulary":"credit"}]},{"given":"Zhuohang","family":"He","sequence":"additional","affiliation":[{"name":"Sichuan University"}],"role":[{"vocabulary":"crossref","role":"author"},{"role":"methodology","vocabulary":"credit"}]},{"given":"Xianliang","family":"Wang","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China"}],"role":[{"vocabulary":"crossref","role":"author"},{"role":"formal-analysis","vocabulary":"credit"}]},{"given":"Lintao","family":"Li","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China"}],"role":[{"vocabulary":"crossref","role":"author"},{"role":"formal-analysis","vocabulary":"credit"}]},{"given":"Tianli","family":"Qiu","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China"}],"role":[{"vocabulary":"crossref","role":"author"},{"role":"writing-review-editing","vocabulary":"credit"}]},{"given":"Da","family":"Zhang","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China"}],"role":[{"vocabulary":"crossref","role":"author"},{"role":"formal-analysis","vocabulary":"credit"}]},{"given":"Guoqiang","family":"Zhao","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China"}],"role":[{"vocabulary":"crossref","role":"author"},{"role":"writing-review-editing","vocabulary":"credit"}]},{"given":"Shun","family":"Lu","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China"}],"role":[{"vocabulary":"crossref","role":"author"},{"role":"writing-review-editing","vocabulary":"credit"}]},{"given":"Zhimin","family":"Hu","sequence":"additional","affiliation":[{"name":"Sichuan University"}],"role":[{"vocabulary":"crossref","role":"author"},{"role":"conceptualization","vocabulary":"credit"},{"role":"methodology","vocabulary":"credit"},{"role":"writing-review-editing","vocabulary":"credit"}]}],"member":"266","published-online":{"date-parts":[[2026,11,3]]},"reference":[{"key":"pmbaeb797bib1","doi-asserted-by":"publisher","first-page":"250","DOI":"10.1016\/S0168-9002(03)01368-8","type":"journal-article","article-title":"Geant4\u2014a simulation toolkit","volume":"506","author":"Agostinelli","year":"2003","journal-title":"Nucl. 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All rights, including for text and data mining, AI training, and similar technologies, are reserved.","name":"copyright_information","label":"Copyright Information"},{"value":"2026-08-07","name":"date_received","label":"Date Received","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2026-10-21","name":"date_accepted","label":"Date Accepted","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2026-11-03","name":"date_epub","label":"Online publication date","group":{"name":"publication_dates","label":"Publication dates"}}]}}