{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,14]],"date-time":"2026-10-14T18:04:55Z","timestamp":1792001095900,"version":"4.4.0"},"reference-count":40,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T00:00:00Z","timestamp":1677628800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T00:00:00Z","timestamp":1677628800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2023,1,2]],"date-time":"2023-01-02T00:00:00Z","timestamp":1672617600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003246","name":"NWO","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003246","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004543","name":"China Scholarship Council","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004543","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004622","name":"KWF Kankerbestrijding","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004622","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":[[2023,3]]},"DOI":"10.1016\/j.radonc.2022.109458","type":"journal-article","created":{"date-parts":[[2023,1,3]],"date-time":"2023-01-03T16:22:50Z","timestamp":1672762970000},"page":"109458","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":11,"special_numbering":"C","title":["Validation of the 18F-FDG PET image biomarker model predicting late xerostomia after head and neck cancer radiotherapy"],"prefix":"10.1016","volume":"180","author":[{"given":"Yan","family":"Li","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nanna Maria","family":"Sijtsema","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Suzanne Petronella Maria","family":"de Vette","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Roel Johannes Henricus Marinus","family":"Steenbakkers","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fan","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Walter","family":"Noordzij","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"}]}],"member":"78","reference":[{"key":"10.1016\/j.radonc.2022.109458_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.2022.109458_b0010","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1016\/j.radonc.2017.08.002","article-title":"Sparing all salivary glands with IMRT for head and neck cancer: Longitudinal study of patient-reported xerostomia and head-and-neck quality of life","volume":"126","author":"Hawkins","year":"2018","journal-title":"Radiother Oncol"},{"key":"10.1016\/j.radonc.2022.109458_b0015","doi-asserted-by":"crossref","first-page":"2340","DOI":"10.1002\/hed.26249","article-title":"Modified technique of submandibular gland transfer followed by intensity modulated radiotherapy to reduce xerostomia in head and neck cancer patients","volume":"42","author":"Chang","year":"2020","journal-title":"Head Neck"},{"key":"10.1016\/j.radonc.2022.109458_b0020","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.2022.109458_b0025","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.ijrobp.2008.07.059","article-title":"Intensity-modulated radiotherapy reduces radiation-induced morbidity and improves health-related quality of life: Results of a nonrandomized prospective study using a standardized follow-up program","volume":"74","author":"Vergeer","year":"2009","journal-title":"Int J Radiat Oncol Biol Phys"},{"key":"10.1016\/j.radonc.2022.109458_b0030","doi-asserted-by":"crossref","first-page":"401","DOI":"10.1016\/j.adro.2018.11.008","article-title":"Machine learning methods uncover radiomorphologic dose patterns in salivary glands that predict xerostomia in patients with head and neck cancer","volume":"4","author":"Jiang","year":"2019","journal-title":"Adv Radiat Oncol"},{"key":"10.1016\/j.radonc.2022.109458_b0035","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.2022.109458_b0040","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41598-019-48184-3","article-title":"Delta-radiomics features during radiotherapy improve the prediction of late xerostomia","volume":"9","author":"van Dijk","year":"2019","journal-title":"Sci Rep"},{"key":"10.1016\/j.radonc.2022.109458_b0045","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.2022.109458_b0050","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.2022.109458_b0055","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.2022.109458_b0060","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.2022.109458_b0065","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s12916-014-0241-z","article-title":"Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): The TRIPOD Statement","volume":"13","author":"Collins","year":"2015","journal-title":"BMC Med"},{"key":"10.1016\/j.radonc.2022.109458_b0070","first-page":"14","article-title":"External validation of multivariable prediction models: A systematic review of methodological conduct and reporting","author":"Collins","year":"2014","journal-title":"BMC Med Res Method"},{"key":"10.1016\/j.radonc.2022.109458_b0075","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1093\/ckj\/sfaa188","article-title":"External validation of prognostic models: what, why, how, when and where?","volume":"14","author":"Ramspek","year":"2021","journal-title":"Clin Kidney J"},{"key":"10.1016\/j.radonc.2022.109458_b0080","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.2022.109458_b0095","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.2022.109458_b0100","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.2022.109458_b0105","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.2022.109458_b0110","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.2022.109458_b0115","doi-asserted-by":"crossref","first-page":"86","DOI":"10.1016\/j.radonc.2011.05.010","article-title":"Development of NTCP models for head and neck cancer patients treated with three-dimensional conformal radiotherapy for xerostomia and sticky saliva: The role of dosimetric and clinical factors","volume":"105","author":"Beetz","year":"2012","journal-title":"Radiother Oncol"},{"key":"10.1016\/j.radonc.2022.109458_b0120","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.2022.109458_b0125","doi-asserted-by":"crossref","first-page":"1410","DOI":"10.1080\/0284186X.2019.1654129","article-title":"NTCP model validation method for DAHANCA patient selection of protons versus photons in head and neck cancer radiotherapy","volume":"58","author":"Hansen","year":"2019","journal-title":"Acta Oncol (Madr)"},{"key":"10.1016\/j.radonc.2022.109458_b0130","doi-asserted-by":"crossref","first-page":"4529","DOI":"10.1002\/sim.7179","article-title":"A closed testing procedure to select an appropriate method for updating prediction models","volume":"36","author":"Vergouwe","year":"2017","journal-title":"Stat Med"},{"key":"10.1016\/j.radonc.2022.109458_b0135","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1371\/journal.pone.0094879","article-title":"Development and validation of a prediction model for tube feeding dependence after curative (Chemo-) radiation in head and neck cancer","volume":"9","author":"Wopken","year":"2014","journal-title":"PLoS One"},{"key":"10.1016\/j.radonc.2022.109458_b0140","first-page":"7","article-title":"Sparing the region of the salivary gland containing stem cells preserves saliva production after radiotherapy for head and neck cancer","author":"Van Luijk","year":"2015","journal-title":"Sci Transl Med"},{"key":"10.1016\/j.radonc.2022.109458_b0145","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3389\/fonc.2019.00001","article-title":"A review on the assessment of radiation induced salivary gland damage after radiotherapy","volume":"9","author":"Wu","year":"2019","journal-title":"Front Oncol"},{"key":"10.1016\/j.radonc.2022.109458_b0150","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/1748-717X-6-125","article-title":"Parotid gland-recovery after radiotherapy in the head and neck region - 36 months follow-up of a prospective clinical study","volume":"6","author":"Hey","year":"2011","journal-title":"Radiat Oncol"},{"key":"10.1016\/j.radonc.2022.109458_b0155","doi-asserted-by":"crossref","first-page":"1187","DOI":"10.1016\/j.archoralbio.2015.04.004","article-title":"Microflora in oral ecosystems and salivary secretion rates \u2013 A 3-year follow-up after radiation therapy to the head and neck region","volume":"60","author":"Almst\u00e5hl","year":"2015","journal-title":"Arch Oral Biol"},{"key":"10.1016\/j.radonc.2022.109458_b0160","doi-asserted-by":"crossref","first-page":"64","DOI":"10.1016\/j.tripleo.2010.09.005","article-title":"Recovery of salivary epidermal growth factor in parotid saliva following parotid sparing radiation therapy: A proof-of-principle study","volume":"111","author":"Murdoch-Kinch","year":"2011","journal-title":"Oral Surg, Oral Med Oral Pathol Oral Radiol Endodontol"},{"key":"10.1016\/j.radonc.2022.109458_b0165","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41598-018-31509-z","article-title":"Comprehensive Investigation on Controlling for CT Imaging Variabilities in Radiomics Studies","volume":"8","author":"Ger","year":"2018","journal-title":"Sci Rep"},{"key":"10.1016\/j.radonc.2022.109458_b0170","first-page":"18","article-title":"Repeatability of radiomic features in non-small-cell lung cancer [18F]FDG-PET\/CT studies: Impact of reconstruction and delineation","author":"van Velden","year":"2016","journal-title":"Mol Imag Biol"},{"key":"10.1016\/j.radonc.2022.109458_b0175","doi-asserted-by":"crossref","first-page":"1041","DOI":"10.2967\/jnumed.111.101733","article-title":"Noise considerations for PET quantification using maximum and peak standardized uptake value","volume":"53","author":"Lodge","year":"2012","journal-title":"J Nucl Med"},{"key":"10.1016\/j.radonc.2022.109458_b0180","doi-asserted-by":"crossref","first-page":"647","DOI":"10.1148\/radiol.2019191882","article-title":"The QIBA profile for FDG PET\/CT as an imaging biomarker measuring response to cancer therapy","volume":"294","author":"Kinahan","year":"2020","journal-title":"Radiology"},{"key":"10.1016\/j.radonc.2022.109458_b0185","doi-asserted-by":"crossref","first-page":"262","DOI":"10.1016\/j.radonc.2006.02.013","article-title":"Individual radiation response of parotid glands investigated by dynamic 11C-methionine PET","volume":"78","author":"Buus","year":"2006","journal-title":"Radiother Oncol"},{"key":"10.1016\/j.radonc.2022.109458_b0190","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1016\/j.jclinepi.2015.12.005","article-title":"A calibration hierarchy for risk models was defined: From utopia to empirical data","volume":"74","author":"Van Calster","year":"2016","journal-title":"J Clin Epidemiol"},{"key":"10.1016\/j.radonc.2022.109458_b0195","doi-asserted-by":"crossref","first-page":"475","DOI":"10.1016\/j.jclinepi.2004.06.017","article-title":"Substantial effective sample sizes were required for external validation studies of predictive logistic regression models","volume":"58","author":"Vergouwe","year":"2005","journal-title":"J Clin Epidemiol"},{"key":"10.1016\/j.radonc.2022.109458_b0200","doi-asserted-by":"crossref","first-page":"214","DOI":"10.1002\/sim.6787","article-title":"Sample size considerations for the external validation of a multivariable prognostic model: A resampling study","volume":"35","author":"Collins","year":"2016","journal-title":"Stat Med"},{"key":"10.1016\/j.radonc.2022.109458_b0205","doi-asserted-by":"crossref","first-page":"1288","DOI":"10.21037\/qims.2019.07.08","article-title":"Early prediction of acute xerostomia during radiation therapy for nasopharyngeal cancer based on delta radiomics from CT images","volume":"9","author":"Liu","year":"2019","journal-title":"Quant Imaging Med Surg"},{"key":"10.1016\/j.radonc.2022.109458_b0210","doi-asserted-by":"crossref","unstructured":"Steyerberg EW. Clinical prediction models: a practical approach to development, validation, and updating. 2019. https:\/\/doi.org\/10.1007\/978-3-030-16399-0_20.","DOI":"10.1007\/978-3-030-16399-0"}],"container-title":["Radiotherapy and Oncology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0167814022046102?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0167814022046102?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,6,13]],"date-time":"2024-06-13T00:28:40Z","timestamp":1718238520000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0167814022046102"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,3]]},"references-count":40,"alternative-id":["S0167814022046102"],"URL":"https:\/\/doi.org\/10.1016\/j.radonc.2022.109458","relation":{},"ISSN":["0167-8140"],"issn-type":[{"value":"0167-8140","type":"print"}],"subject":[],"published":{"date-parts":[[2023,3]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Validation of the 18F-FDG PET image biomarker model predicting late xerostomia after head and neck cancer radiotherapy","name":"articletitle","label":"Article Title"},{"value":"Radiotherapy and Oncology","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.radonc.2022.109458","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2023 The Author(s). Published by Elsevier B.V.","name":"copyright","label":"Copyright"}],"article-number":"109458"}}