{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,14]],"date-time":"2026-08-14T04:11:42Z","timestamp":1786680702723,"version":"build-2736575974"},"reference-count":37,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T00:00:00Z","timestamp":1754006400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T00:00:00Z","timestamp":1754006400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2025,6,27]],"date-time":"2025-06-27T00:00:00Z","timestamp":1750982400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100005010","name":"Associazione Italiana per la Ricerca sul Cancro","doi-asserted-by":"publisher","award":["IG2020 \\u2013 24946"],"award-info":[{"award-number":["IG2020 \\u2013 24946"]}],"id":[{"id":"10.13039\/501100005010","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000781","name":"European Research Council","doi-asserted-by":"publisher","award":["101116811"],"award-info":[{"award-number":["101116811"]}],"id":[{"id":"10.13039\/501100000781","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","physicamedica.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Physica Medica"],"published-print":{"date-parts":[[2025,8]]},"DOI":"10.1016\/j.ejmp.2025.105038","type":"journal-article","created":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T17:52:19Z","timestamp":1751392339000},"page":"105038","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":4,"special_numbering":"C","title":["Tumor control probability in large sacral chordomas treated with carbon ions radiotherapy integrating advanced microstructural modelling"],"prefix":"10.1016","volume":"136","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2963-0351","authenticated-orcid":false,"given":"Giovanni","family":"Parrella","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5695-1767","authenticated-orcid":false,"given":"Letizia","family":"Morelli","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Silvia","family":"Molinelli","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7140-8642","authenticated-orcid":false,"given":"Giuseppe","family":"Magro","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lars","family":"Glimelius","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jakob","family":"\u00d6d\u00e9n","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mario","family":"Ciocca","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sara","family":"Imparato","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marco","family":"Rotondi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maria Rosaria","family":"Fiore","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6495-8574","authenticated-orcid":false,"given":"Ester","family":"Orlandi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guido","family":"Baroni","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chiara","family":"Paganelli","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.ejmp.2025.105038_b0005","doi-asserted-by":"crossref","first-page":"679","DOI":"10.1016\/j.jor.2018.04.001","article-title":"Sacral chordoma: a review of literature","volume":"15","author":"Pillai","year":"2018","journal-title":"J Orthop"},{"key":"10.1016\/j.ejmp.2025.105038_b0010","doi-asserted-by":"crossref","first-page":"152","DOI":"10.1186\/s13014-023-02337-x","article-title":"Efficacy and safety of carbon ion radiotherapy for chordomas: a systematic review and meta-analysis","volume":"18","author":"Dong","year":"2023","journal-title":"Rad Onc"},{"key":"10.1016\/j.ejmp.2025.105038_b0015","doi-asserted-by":"crossref","first-page":"3022","DOI":"10.3390\/cancers12103022","article-title":"Carbon ion radiobiology","volume":"12","author":"Tinganelli","year":"2020","journal-title":"Cancers"},{"key":"10.1016\/j.ejmp.2025.105038_b0020","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1016\/j.radonc.2020.01.026","article-title":"Quantitative imaging for radiotherapy purposes","volume":"146","author":"Gurney-Champion","year":"2020","journal-title":"Radiother Oncol"},{"key":"10.1016\/j.ejmp.2025.105038_b0025","doi-asserted-by":"crossref","unstructured":"Zampini M, Morelli L, Parrella G, Baroni G, Parker GJM, Paganelli C. Quantitative imaging in particle therapy. In: Paganelli C, Gianoli C, Knopf A, editors. Imaging in Particle Therapy. Bristol (UK): IOP Publishing; 2024, p. 11:1-11:22. https:\/\/doi.org\/10.1088\/978-0-7503-5117-1ch11.","DOI":"10.1088\/978-0-7503-5117-1ch11"},{"key":"10.1016\/j.ejmp.2025.105038_b0030","doi-asserted-by":"crossref","DOI":"10.1016\/j.jneumeth.2020.108951","article-title":"The sensitivity of diffusion MRI to microstructural properties and experimental factors","volume":"347","author":"Afzali","year":"2021","journal-title":"J Neurosci Methods"},{"key":"10.1016\/j.ejmp.2025.105038_b0035","doi-asserted-by":"crossref","first-page":"59492","DOI":"10.18632\/oncotarget.17752","article-title":"Correlation between apparent diffusion coefficient (ADC) and cellularity is different in several tumors: a meta-analysis","volume":"8","author":"Surov","year":"2017","journal-title":"Oncotarget"},{"key":"10.1016\/j.ejmp.2025.105038_b0040","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1016\/j.neuroimage.2017.12.062","article-title":"What can we see with IVIM MRI?","volume":"187","author":"Le Bihan","year":"2019","journal-title":"Neuroimage"},{"key":"10.1016\/j.ejmp.2025.105038_b0045","doi-asserted-by":"crossref","first-page":"327","DOI":"10.1002\/hbm.21454","article-title":"Probing tissue microstructure with restriction spectrum imaging: histological and theoretical validation","volume":"34","author":"White","year":"2013","journal-title":"Hum Brain Mapp"},{"key":"10.1016\/j.ejmp.2025.105038_b0050","doi-asserted-by":"crossref","first-page":"2900","DOI":"10.1002\/mp.16202","article-title":"Microstructural parameters from DW\u2010MRI for tumour characterization and local recurrence prediction in particle therapy of skull\u2010base chordoma","volume":"50","author":"Morelli","year":"2023","journal-title":"Med Phys"},{"key":"10.1016\/j.ejmp.2025.105038_b0055","doi-asserted-by":"crossref","first-page":"1250","DOI":"10.1002\/mp.14689","article-title":"Improving the characterization of meningioma microstructure in proton therapy from conventional apparent diffusion coefficient measurements using Monte Carlo simulations of diffusion MRI","volume":"48","author":"Buizza","year":"2021","journal-title":"Med Phys"},{"key":"10.1016\/j.ejmp.2025.105038_b0060","doi-asserted-by":"crossref","unstructured":"Morelli L, Parrella G, Buizza G, Baroni G, Paganelli C. Multi-scale modelling in particle therapy with quantitative imaging biomarkers. In: Paganelli C, Gianoli C, Knopf A, editors. Imaging in Particle Therapy. Bristol (UK): IOP Publishing; 2024, p. 12:1-12:23. https:\/\/doi.org\/10.1088\/978-0-7503-5117-1ch12.","DOI":"10.1088\/978-0-7503-5117-1ch12"},{"key":"10.1016\/j.ejmp.2025.105038_b0065","article-title":"The linear quadratic model: Usage, interpretation and challenges","volume":"64","author":"McMahon","year":"2019","journal-title":"Phys Med Biol"},{"key":"10.1016\/j.ejmp.2025.105038_b0070","doi-asserted-by":"crossref","first-page":"679","DOI":"10.1259\/0007-1285-62-740-679","article-title":"The linear-quadratic formula and progress in fractionated radiotherapy","volume":"62","author":"Fowler","year":"1989","journal-title":"Br J Radiol"},{"key":"10.1016\/j.ejmp.2025.105038_b0075","first-page":"215","article-title":"Image-based modeling of normal tissue complication probability for radiation therapy","volume":"139","author":"Deasy","year":"2008","journal-title":"Cancer Treat Res"},{"key":"10.1016\/j.ejmp.2025.105038_b0080","doi-asserted-by":"crossref","DOI":"10.1117\/1.JMI.8.3.031902","article-title":"Radiomic and radiogenomic modeling for radiotherapy: strategies, pitfalls, and challenges","volume":"8","author":"Coates","year":"2021","journal-title":"J Med Imaging"},{"key":"10.1016\/j.ejmp.2025.105038_b0085","doi-asserted-by":"crossref","first-page":"S9","DOI":"10.1088\/0031-9155\/54\/18\/S02","article-title":"Predicting radiotherapy outcomes using statistical learning techniques","volume":"54","author":"El Naqa","year":"2009","journal-title":"Phys Med Biol"},{"key":"10.1016\/j.ejmp.2025.105038_b0090","doi-asserted-by":"crossref","first-page":"1275","DOI":"10.1016\/j.ijrobp.2005.11.022","article-title":"Multivariable modeling of radiotherapy outcomes, including dose\u2013volume and clinical factors","volume":"64","author":"El Naqa","year":"2006","journal-title":"Int J Radiat Oncol Biol Phys"},{"key":"10.1016\/j.ejmp.2025.105038_b0095","doi-asserted-by":"crossref","first-page":"339","DOI":"10.3390\/cancers13020339","article-title":"Radiomics and dosiomics for predicting local control after carbon-ion radiotherapy in skull-base chordoma","volume":"13","author":"Buizza","year":"2021","journal-title":"Cancers"},{"key":"10.1016\/j.ejmp.2025.105038_b0100","doi-asserted-by":"crossref","first-page":"33","DOI":"10.3390\/cancers15010033","article-title":"A dosiomics analysis based on linear energy transfer and biological dose maps to predict local recurrence in sacral chordomas after carbon-ion radiotherapy","volume":"15","author":"Morelli","year":"2022","journal-title":"Cancers"},{"key":"10.1016\/j.ejmp.2025.105038_b0105","doi-asserted-by":"crossref","DOI":"10.1016\/j.ejmp.2024.103421","article-title":"A dosiomics approach to treatment outcome modeling in carbon ion radiotherapy for skull base chordomas","volume":"124","author":"Parrella","year":"2024","journal-title":"Phys Med"},{"key":"10.1016\/j.ejmp.2025.105038_b0110","doi-asserted-by":"crossref","first-page":"517","DOI":"10.1667\/RR2045.1","article-title":"Analytical description of the LET dependence of cell survival using the repairable-conditionally repairable damage model","volume":"174","author":"Wedenberg","year":"2010","journal-title":"Radiat Res"},{"key":"10.1016\/j.ejmp.2025.105038_b0115","doi-asserted-by":"crossref","DOI":"10.1259\/bjr.20130015","article-title":"Predictive value of modelled tumour control probability based on individual measurements of in vitro radiosensitivity and potential doubling time","volume":"86","author":"Hedman","year":"2013","journal-title":"Br J Radiol"},{"key":"10.1016\/j.ejmp.2025.105038_b0120","doi-asserted-by":"crossref","first-page":"4494","DOI":"10.3390\/cancers15184494","article-title":"Carbon ions for hypoxic tumors: are we making the most of them?","volume":"15","author":"Sokol","year":"2023","journal-title":"Cancers"},{"key":"10.1016\/j.ejmp.2025.105038_b0125","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1016\/j.radonc.2019.04.018","article-title":"MRI-based tumour control probability in skull-base chordomas treated with carbon-ion therapy","volume":"137","author":"Buizza","year":"2019","journal-title":"Radiother Oncol"},{"key":"10.1016\/j.ejmp.2025.105038_b0130","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1080\/0284186X.2020.1817547","article-title":"Robust treatment planning of dose painting for prostate cancer based on ADC-to-Gleason score mappings \u2013 what is the potential to increase the tumor control probability?","volume":"60","author":"Gr\u00f6nlund","year":"2021","journal-title":"Acta Oncol"},{"key":"10.1016\/j.ejmp.2025.105038_b0135","doi-asserted-by":"crossref","first-page":"1651","DOI":"10.1016\/j.ejmp.2016.11.106","article-title":"Feasibility of voxel-based dose painting for recurrent glioblastoma guided by ADC values of diffusion-weighted MR imaging","volume":"32","author":"Orlandi","year":"2016","journal-title":"Phys Med"},{"key":"10.1016\/j.ejmp.2025.105038_b0140","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1016\/j.radonc.2016.02.030","article-title":"A tumour control probability model for radiotherapy of prostate cancer using magnetic resonance imaging-based apparent diffusion coefficient maps","volume":"119","author":"Casares-Magaz","year":"2016","journal-title":"Radiother Oncol"},{"key":"10.1016\/j.ejmp.2025.105038_b0145","doi-asserted-by":"crossref","DOI":"10.1259\/bjr.20220384","article-title":"Isotoxic dose escalated radiotherapy for glioblastoma based on diffusion-weighted MRI and tumor control probability\u2014an in-silico study","volume":"96","author":"Pang","year":"2023","journal-title":"Br J Radiol"},{"key":"10.1016\/j.ejmp.2025.105038_b0150","doi-asserted-by":"crossref","first-page":"1698","DOI":"10.2967\/jnumed.119.227744","article-title":"Prospective evaluation of a tumor control probability model based on dynamic 18F-FMISO PET for head and neck cancer radiotherapy","volume":"60","author":"Thorwarth","year":"2019","journal-title":"J Nucl Med"},{"key":"10.1016\/j.ejmp.2025.105038_b0155","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1016\/j.zemedi.2011.09.006","article-title":"Feasibility of TCP-based dose painting by numbers applied to a prostate case with 18F-choline PET imaging","volume":"22","author":"Dirscherl","year":"2012","journal-title":"Z Med Phys"},{"key":"10.1016\/j.ejmp.2025.105038_b0160","doi-asserted-by":"crossref","DOI":"10.4172\/2155-9619.1000190","article-title":"Radiobiological modeling based on 18F-fluorodeoxyglucose positron emission tomography data for esophageal cancer","volume":"05","author":"Guerrero","year":"2014","journal-title":"J Nucl Med Radiat Ther"},{"key":"10.1016\/j.ejmp.2025.105038_b0165","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1155\/2015\/934380","article-title":"Towards multidimensional radiotherapy: key challenges for treatment individualisation","volume":"2015","author":"Toma-Dasu","year":"2015","journal-title":"Comput Math Methods Med"},{"key":"10.1016\/j.ejmp.2025.105038_b0170","doi-asserted-by":"crossref","first-page":"787","DOI":"10.1080\/028418699432950","article-title":"Optimization of the dose level for a given treatment plan to maximize the complication-free tumor cure","volume":"38","author":"Lind","year":"1999","journal-title":"Acta Oncol"},{"key":"10.1016\/j.ejmp.2025.105038_b0175","doi-asserted-by":"crossref","first-page":"1895","DOI":"10.1088\/0031-9155\/39\/11\/007","article-title":"Optimum parameters in a model for tumour control probability including interpatient heterogeneity","volume":"39","author":"Webb","year":"1994","journal-title":"Phys Med Biol"},{"key":"10.1016\/j.ejmp.2025.105038_b0180","series-title":"Tumor Response Monitoring and Treatment Planning","first-page":"425","article-title":"Maximizing Local Control by customized Dose Prescription for Pelvic Tumours","author":"Nahum","year":"1992"},{"key":"10.1016\/j.ejmp.2025.105038_b0185","doi-asserted-by":"crossref","first-page":"1528","DOI":"10.1016\/j.ijrobp.2006.08.032","article-title":"Risk-adaptive optimization: selective boosting of high-risk tumor subvolumes","author":"Kim","year":"2006","journal-title":"Int J Radiat Oncol Biol Phys"}],"container-title":["Physica Medica"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1120179725001486?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1120179725001486?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T04:16:03Z","timestamp":1777608963000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1120179725001486"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8]]},"references-count":37,"alternative-id":["S1120179725001486"],"URL":"https:\/\/doi.org\/10.1016\/j.ejmp.2025.105038","relation":{},"ISSN":["1120-1797"],"issn-type":[{"value":"1120-1797","type":"print"}],"subject":[],"published":{"date-parts":[[2025,8]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Tumor control probability in large sacral chordomas treated with carbon ions radiotherapy integrating advanced microstructural modelling","name":"articletitle","label":"Article Title"},{"value":"Physica Medica","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ejmp.2025.105038","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 Associazione Italiana di Fisica Medica e Sanitaria. Published by Elsevier Ltd.","name":"copyright","label":"Copyright"}],"article-number":"105038"}}