<HashMap><database>biostudies-literature</database><scores/><additional><submitter>de Vette SPM</submitter><funding>NIDCR NIH HHS</funding><funding>NCI NIH HHS</funding><funding>ZonMw</funding><pagination>107224</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11950982</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>163</volume><pubmed_abstract>&lt;h4>Background/purpose&lt;/h4>Normal tissue complication probability (NTCP) models can be used to guide radiation therapy (RT) decisions by estimating side-effect risks pretreatment to minimize (late) side-effects. Recently, a comprehensive individual toxicity risk (CITOR) profile of NTCP models addressing common side-effects in head and neck cancer (HNC) patients was developed. This study investigates the generalizability of these models in an international setting, with different treatment approaches and side-effect assessments, promoting their integration into more widespread clinical practice.&lt;h4>Materials/methods&lt;/h4>From a prospective registry study, 407 HNC patients were included who were treated with definitive RT with or without systemic therapy between 2015 and 2022. NTCP models pre</pubmed_abstract><journal>Oral oncology</journal><pubmed_title>Evaluation of a comprehensive set of normal tissue complication probability models for patients with head and neck cancer in an international cohort.</pubmed_title><pmcid>PMC11950982</pmcid><funding_grant_id>P01 CA285249</funding_grant_id><funding_grant_id>P30 CA016672</funding_grant_id><funding_grant_id>R01 CA258827</funding_grant_id><funding_grant_id>R21 CA273984</funding_grant_id><funding_grant_id>R01 DE028290</funding_grant_id><funding_grant_id>K01 DE030524</funding_grant_id><funding_grant_id>09150162010173</funding_grant_id><funding_grant_id>R01 CA257814</funding_grant_id><pubmed_authors>Steenbakkers RJHM</pubmed_authors><pubmed_authors>van Dijk LV</pubmed_authors><pubmed_authors>de Vette SPM</pubmed_authors><pubmed_authors>Van den Bosch L</pubmed_authors><pubmed_authors>Neh H</pubmed_authors><pubmed_authors>Frederiks ML</pubmed_authors><pubmed_authors>Heukelom J</pubmed_authors><pubmed_authors>van Rijn-Dekker MI</pubmed_authors><pubmed_authors>Fuller CD</pubmed_authors><pubmed_authors>Hutcheson KA</pubmed_authors><pubmed_authors>Keijzer K</pubmed_authors><pubmed_authors>van der Schaaf A</pubmed_authors><pubmed_authors>Sijtsema NM</pubmed_authors><pubmed_authors>Langendijk JA</pubmed_authors><pubmed_authors>van Luijk P</pubmed_authors><pubmed_authors>Li Y</pubmed_authors><pubmed_authors>Moreno AC</pubmed_authors><pubmed_authors>Chu H</pubmed_authors><pubmed_authors>van der Laan HP</pubmed_authors></additional><is_claimable>false</is_claimable><name>Evaluation of a comprehensive set of normal tissue complication probability models for patients with head and neck cancer in an international cohort.</name><description>&lt;h4>Background/purpose&lt;/h4>Normal tissue complication probability (NTCP) models can be used to guide radiation therapy (RT) decisions by estimating side-effect risks pretreatment to minimize (late) side-effects. Recently, a comprehensive individual toxicity risk (CITOR) profile of NTCP models addressing common side-effects in head and neck cancer (HNC) patients was developed. This study investigates the generalizability of these models in an international setting, with different treatment approaches and side-effect assessments, promoting their integration into more widespread clinical practice.&lt;h4>Materials/methods&lt;/h4>From a prospective registry study, 407 HNC patients were included who were treated with definitive RT with or without systemic therapy between 2015 and 2022. NTCP models pre</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Apr</publication><modification>2026-06-01T14:42:59.666Z</modification><creation>2026-04-08T13:24:15.444Z</creation></dates><accession>S-EPMC11950982</accession><cross_references><pubmed>40023984</pubmed><doi>10.1016/j.oraloncology.2025.107224</doi></cross_references></HashMap>