{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,27]],"date-time":"2026-10-27T02:28:37Z","timestamp":1793068117482,"version":"4.5.0"},"reference-count":30,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2024,7,1]],"date-time":"2024-07-01T00:00:00Z","timestamp":1719792000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2024,7,1]],"date-time":"2024-07-01T00:00:00Z","timestamp":1719792000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2024,4,30]],"date-time":"2024-04-30T00:00:00Z","timestamp":1714435200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004543","name":"China Scholarship Council","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004543","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.fr","clinicalkey.jp","clinicalkey.es","clinicalkey.com.au","thegreenjournal.com","clinicalkey.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Radiotherapy and Oncology"],"published-print":{"date-parts":[[2024,7]]},"DOI":"10.1016\/j.radonc.2024.110319","type":"journal-article","created":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T15:22:32Z","timestamp":1714576952000},"page":"110319","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":2,"special_numbering":"C","title":["Late-xerostomia prediction model based on 18F-FDG PET image biomarkers of the main salivary glands"],"prefix":"10.1016","volume":"196","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8579-3446","authenticated-orcid":false,"given":"Yan","family":"Li","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maria Irene","family":"van Rijn - Dekker","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Suzanne Petronella Maria","family":"de Vette","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Arjen","family":"van der Schaaf","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lisa","family":"van den Bosch","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Johannes Albertus","family":"Langendijk","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lisanne Vania","family":"van Dijk","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nanna Maria","family":"Sijtsema","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.radonc.2024.110319_b0005","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1016\/j.radonc.2021.01.024","article-title":"Comprehensive toxicity risk profiling in radiation therapy for head and neck cancer: A new concept for individually optimised treatment","volume":"157","author":"Van den Bosch","year":"2021","journal-title":"Radiother Oncol"},{"key":"10.1016\/j.radonc.2024.110319_b0010","doi-asserted-by":"crossref","first-page":"3770","DOI":"10.1200\/JCO.2007.14.6647","article-title":"Impact of late treatment-related toxicity on quality of life among patients with head and neck cancer treated with radiotherapy","volume":"26","author":"Langendijk","year":"2008","journal-title":"J Clin Oncol"},{"key":"10.1016\/j.radonc.2024.110319_b0015","doi-asserted-by":"crossref","first-page":"430","DOI":"10.1016\/j.radonc.2014.08.020","article-title":"Direct use of multivariable normal tissue complication probability models in treatment plan optimisation for individualised head and neck cancer radiotherapy produces clinically acceptable treatment plans","volume":"112","author":"Kierkels","year":"2014","journal-title":"Radiother Oncol"},{"key":"10.1016\/j.radonc.2024.110319_b0020","doi-asserted-by":"crossref","first-page":"354","DOI":"10.14338\/IJPT-20-00089.1","article-title":"National protocol for model-based selection for proton therapy in head and neck cancer","volume":"8","author":"Langendijk","year":"2021","journal-title":"Int J Part Ther"},{"key":"10.1016\/j.radonc.2024.110319_b0025","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1016\/j.radonc.2012.03.004","article-title":"NTCP models for patient-rated xerostomia and sticky saliva after treatment with intensity modulated radiotherapy for head and neck cancer: The role of dosimetric and clinical factors","volume":"105","author":"Beetz","year":"2012","journal-title":"Radiother Oncol"},{"key":"10.1016\/j.radonc.2024.110319_b0030","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1016\/j.radonc.2016.07.007","article-title":"CT image biomarkers to improve patient-specific prediction of radiation-induced xerostomia and sticky saliva","volume":"122","author":"van Dijk","year":"2017","journal-title":"Radiother Oncol"},{"key":"10.1016\/j.radonc.2024.110319_b0035","doi-asserted-by":"crossref","first-page":"459","DOI":"10.1016\/j.radonc.2018.06.012","article-title":"Parotid gland fat related Magnetic Resonance image biomarkers improve prediction of late radiation-induced xerostomia","volume":"128","author":"van Dijk","year":"2018","journal-title":"Radiother Oncol"},{"key":"10.1016\/j.radonc.2024.110319_b0040","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1016\/j.radonc.2017.08.024","article-title":"18F-FDG PET image biomarkers improve prediction of late radiation-induced xerostomia","volume":"126","author":"van Dijk","year":"2018","journal-title":"Radiother Oncol"},{"key":"10.1016\/j.radonc.2024.110319_b0045","article-title":"Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach","volume":"5","author":"Aerts","year":"2014","journal-title":"Nat Commun"},{"key":"10.1016\/j.radonc.2024.110319_b0050","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1016\/j.radonc.2020.02.005","article-title":"Pre-treatment radiomic features predict individual lymph node failure for head and neck cancer patients","volume":"146","author":"Zhai","year":"2020","journal-title":"Radiother Oncol"},{"key":"10.1016\/j.radonc.2024.110319_b0055","doi-asserted-by":"crossref","first-page":"453","DOI":"10.1177\/0284185120931683","article-title":"Radiomics of apparent diffusion coefficient maps to predict histologic grade in squamous cell carcinoma of the oral tongue and floor of mouth: a preliminary study","volume":"62","author":"Ren","year":"2021","journal-title":"Acta Radiol"},{"key":"10.1016\/j.radonc.2024.110319_b0060","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s13014-019-1339-4","article-title":"Predicting acute radiation induced xerostomia in head and neck Cancer using MR and CT Radiomics of parotid and submandibular glands","volume":"14","author":"Sheikh","year":"2019","journal-title":"Radiat Oncol"},{"key":"10.1016\/j.radonc.2024.110319_b0065","doi-asserted-by":"crossref","DOI":"10.1016\/j.radonc.2022.109458","article-title":"Validation of the 18F-FDG PET image biomarker model predicting late xerostomia after head and neck cancer radiotherapy","volume":"180","author":"Li","year":"2023","journal-title":"Radiother Oncol"},{"key":"10.1016\/j.radonc.2024.110319_b0070","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1016\/j.radonc.2020.03.037","article-title":"Predicting late radiation-induced xerostomia with parotid gland PET biomarkers and dose metrics","volume":"148","author":"Wilkie","year":"2020","journal-title":"Radiother Oncol"},{"key":"10.1016\/j.radonc.2024.110319_b0075","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1016\/j.radonc.2011.08.009","article-title":"Predictive modelling for swallowing dysfunction after primary (chemo)radiation: Results of a prospective observational study","volume":"105","author":"Christianen","year":"2012","journal-title":"Radiother Oncol"},{"key":"10.1016\/j.radonc.2024.110319_b0080","doi-asserted-by":"crossref","first-page":"S62","DOI":"10.1016\/S0167-8140(22)02464-1","article-title":"OC-0088 Reduced tube feeding dependence by continuous improvements in head and neck radiotherapy","volume":"170","author":"Van den Bosch","year":"2022","journal-title":"Radiother Oncol"},{"key":"10.1016\/j.radonc.2024.110319_b0085","doi-asserted-by":"crossref","first-page":"328","DOI":"10.1007\/s00259-014-2961-x","article-title":"FDG PET\/CT: EANM procedure guidelines for tumour imaging: version 2.0","volume":"42","author":"Boellaard","year":"2015","journal-title":"Eur J Nucl Med Mol Imaging"},{"key":"10.1016\/j.radonc.2024.110319_b0090","doi-asserted-by":"crossref","first-page":"2320","DOI":"10.1007\/s00259-008-0874-2","article-title":"The Netherlands protocol for standardisation and quantification of FDG whole body PET studies in multi-centre trials","volume":"35","author":"Boellaard","year":"2008","journal-title":"Eur J Nucl Med Mol Imaging"},{"key":"10.1016\/j.radonc.2024.110319_b0095","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1016\/j.radonc.2019.09.022","article-title":"Improving automatic delineation for head and neck organs at risk by Deep Learning Contouring","volume":"142","author":"van Dijk","year":"2020","journal-title":"Radiother Oncol"},{"key":"10.1016\/j.radonc.2024.110319_b0100","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1016\/j.radonc.2015.07.041","article-title":"CT-based delineation of organs at risk in the head and neck region: DAHANCA, EORTC, GORTEC, HKNPCSG, NCIC CTG, NCRI, NRG Oncology and TROG consensus guidelines","volume":"117","author":"Brouwer","year":"2015","journal-title":"Radiother Oncol"},{"key":"10.1016\/j.radonc.2024.110319_b0105","first-page":"93","article-title":"18FDG positron emission tomography mining for metabolic imaging biomarkers of radiation-induced xerostomia in patients with oropharyngeal cancer","volume":"29","author":"Elhalawani","year":"2021","journal-title":"Clin Transl Radiat Oncol"},{"key":"10.1016\/j.radonc.2024.110319_b0110","doi-asserted-by":"crossref","first-page":"e104","DOI":"10.1158\/0008-5472.CAN-17-0339","article-title":"Computational radiomics system to decode the radiographic phenotype","volume":"77","author":"Van Griethuysen","year":"2017","journal-title":"Cancer Res"},{"key":"10.1016\/j.radonc.2024.110319_b0115","doi-asserted-by":"crossref","first-page":"328","DOI":"10.1148\/radiol.2020191145","article-title":"The image biomarker standardization initiative: Standardized quantitative radiomics for high-throughput image-based phenotyping","volume":"295","author":"Zwanenburg","year":"2020","journal-title":"Radiology"},{"key":"10.1016\/j.radonc.2024.110319_b0120","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1016\/j.radonc.2020.04.012","article-title":"Key challenges in normal tissue complication probability model development and validation: towards a comprehensive strategy","volume":"148","author":"Van den Bosch","year":"2020","journal-title":"Radiother Oncol"},{"key":"10.1016\/j.radonc.2024.110319_b0125","doi-asserted-by":"crossref","first-page":"514","DOI":"10.1097\/COC.0b013e318261054e","article-title":"Submandibular gland-sparing intensity-modulated radiotherapy","volume":"37","author":"Mendenhall","year":"2013","journal-title":"Am J Clin Oncol Cancer Clin Trials"},{"key":"10.1016\/j.radonc.2024.110319_b0130","doi-asserted-by":"crossref","first-page":"373","DOI":"10.1016\/j.ijrobp.2007.12.033","article-title":"Dose-effect relationships for the submandibular salivary glands and implications for their sparing by intensity modulated radiotherapy","volume":"72","author":"Murdoch-Kinch","year":"2008","journal-title":"Int J Radiat Oncol Biol Phys"},{"key":"10.1016\/j.radonc.2024.110319_b0135","doi-asserted-by":"crossref","first-page":"164","DOI":"10.1016\/j.radonc.2005.10.002","article-title":"Does radiation dose to the salivary glands and oral cavity predict patient-rated xerostomia and sticky saliva in head and neck cancer patients treated with curative radiotherapy?","volume":"77","author":"Jellema","year":"2005","journal-title":"Radiother Oncol"},{"key":"10.1016\/j.radonc.2024.110319_b0140","doi-asserted-by":"crossref","DOI":"10.1126\/scitranslmed.aac4441","article-title":"Sparing the region of the salivary gland containing stem cells preserves saliva production after radiotherapy for head and neck cancer","volume":"7","author":"Van Luijk","year":"2015","journal-title":"Sci Transl Med"},{"key":"10.1016\/j.radonc.2024.110319_b0145","doi-asserted-by":"crossref","first-page":"750","DOI":"10.1016\/j.ijrobp.2023.04.034","article-title":"Prediction of Radiation-Induced Parotid Gland-Related Xerostomia in Patients With Head and Neck Cancer: Regeneration-Weighted Dose","volume":"117","author":"van Rijn-Dekker","year":"2023","journal-title":"International Journal of Radiation Oncology, Biology, Physics"},{"key":"10.1016\/j.radonc.2024.110319_b0150","doi-asserted-by":"crossref","first-page":"695","DOI":"10.1016\/S0360-3016(01)01512-7","article-title":"Xerostomia and its predictors following parotid-sparing irradiation of head-and-neck cancer","volume":"50","author":"Eisbruch","year":"2001","journal-title":"Int J Radiat Oncol Biol Phys"}],"container-title":["Radiotherapy and Oncology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S016781402400241X?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S016781402400241X?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,11,8]],"date-time":"2024-11-08T01:12:52Z","timestamp":1731028372000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S016781402400241X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7]]},"references-count":30,"alternative-id":["S016781402400241X"],"URL":"https:\/\/doi.org\/10.1016\/j.radonc.2024.110319","relation":{},"ISSN":["0167-8140"],"issn-type":[{"value":"0167-8140","type":"print"}],"subject":[],"published":{"date-parts":[[2024,7]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Late-xerostomia prediction model based on 18F-FDG PET image biomarkers of the main salivary glands","name":"articletitle","label":"Article Title"},{"value":"Radiotherapy and Oncology","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.radonc.2024.110319","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2024 The Author(s). Published by Elsevier B.V.","name":"copyright","label":"Copyright"}],"article-number":"110319"}}