{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,21]],"date-time":"2026-09-21T19:21:18Z","timestamp":1790018478412,"version":"4.0.1"},"reference-count":47,"publisher":"Elsevier BV","issue":"12","license":[{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"}],"funder":[{"DOI":"10.13039\/501100011827","name":"Guangxi Medical University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100011827","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","clinicaloncologyonline.net","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Clinical Oncology"],"published-print":{"date-parts":[[2022,12]]},"DOI":"10.1016\/j.clon.2022.07.007","type":"journal-article","created":{"date-parts":[[2022,8,22]],"date-time":"2022-08-22T22:40:43Z","timestamp":1661208043000},"page":"e482-e492","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":18,"title":["Nomogram Based on Clinical and Radiomics Data for Predicting Radiation-induced Temporal Lobe Injury in Patients with Non-metastatic Stage T4 Nasopharyngeal Carcinoma"],"prefix":"10.1016","volume":"34","author":[{"given":"X.","family":"Bin","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"C.","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Y.","family":"Tang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"R.","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Q.","family":"Ding","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"W.","family":"Xia","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Y.","family":"Tang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"X.","family":"Tang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"D.","family":"Yao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"A.","family":"Tang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.clon.2022.07.007_bib1","doi-asserted-by":"crossref","first-page":"64","DOI":"10.1016\/S0140-6736(19)30956-0","article-title":"Nasopharyngeal carcinoma","volume":"394","author":"Chen","year":"2019","journal-title":"Lancet"},{"key":"10.1016\/j.clon.2022.07.007_bib2","doi-asserted-by":"crossref","first-page":"243","DOI":"10.1148\/radiol.14141721","article-title":"Normal tissue complication probability model for radiation-induced temporal lobe injury after intensity-modulated radiation therapy for nasopharyngeal carcinoma","volume":"276","author":"Zeng","year":"2015","journal-title":"Radiology"},{"key":"10.1016\/j.clon.2022.07.007_bib3","doi-asserted-by":"crossref","first-page":"92","DOI":"10.1038\/nrclinonc.2015.152","article-title":"Cancer-treatment-induced neurotoxicity \u2013 focus on newer treatments","volume":"13","author":"Stone","year":"2016","journal-title":"Nat Rev Clin Oncol"},{"key":"10.1016\/j.clon.2022.07.007_bib4","doi-asserted-by":"crossref","first-page":"1535","DOI":"10.1002\/1097-0142(19880415)61:8<1535::AID-CNCR2820610809>3.0.CO;2-E","article-title":"Clinical diagnosis of late temporal lobe necrosis following radiation therapy for nasopharyngeal carcinoma","volume":"61","author":"Lee","year":"1988","journal-title":"Cancer"},{"key":"10.1016\/j.clon.2022.07.007_bib5","doi-asserted-by":"crossref","first-page":"620","DOI":"10.1093\/jnci\/djy150","article-title":"Genome-wide association study of susceptibility loci for radiation-induced brain injury","volume":"111","author":"Wang","year":"2019","journal-title":"J\u00a0Natl Cancer Inst"},{"key":"10.1016\/j.clon.2022.07.007_bib6","doi-asserted-by":"crossref","first-page":"722","DOI":"10.1016\/j.ijrobp.2009.06.080","article-title":"Cognitive function before and after intensity-modulated radiation therapy in patients with nasopharyngeal carcinoma: a prospective study","volume":"77","author":"Hsiao","year":"2010","journal-title":"Int J Radiat Oncol Biol Phys"},{"key":"10.1016\/j.clon.2022.07.007_bib7","doi-asserted-by":"crossref","first-page":"e36529","DOI":"10.1371\/journal.pone.0036529","article-title":"Psychological disorders, cognitive dysfunction and quality of life in nasopharyngeal carcinoma patients with radiation-induced brain injury","volume":"7","author":"Tang","year":"2012","journal-title":"PLoS One"},{"key":"10.1016\/j.clon.2022.07.007_bib8","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1016\/S0360-3016(02)02711-6","article-title":"Factors affecting risk of symptomatic temporal lobe necrosis: significance of fractional dose and treatment time","volume":"53","author":"Lee","year":"2002","journal-title":"Int J Radiat Oncol Biol Phys"},{"key":"10.1016\/j.clon.2022.07.007_bib9","doi-asserted-by":"crossref","first-page":"312","DOI":"10.1016\/j.radonc.2012.06.012","article-title":"Clinical and dosimetric characteristics of temporal lobe injury following intensity modulated radiotherapy of nasopharyngeal carcinoma","volume":"104","author":"Su","year":"2012","journal-title":"Radiother Oncol"},{"key":"10.1016\/j.clon.2022.07.007_bib10","doi-asserted-by":"crossref","first-page":"1708","DOI":"10.3389\/fonc.2020.01708","article-title":"Application of radiomics for the prediction of radiation-induced toxicity in the IMRT era: current state-of-the-art","volume":"10","author":"Desideri","year":"2020","journal-title":"Front Oncol"},{"key":"10.1016\/j.clon.2022.07.007_bib11","doi-asserted-by":"crossref","first-page":"251","DOI":"10.1038\/bjc.2014.639","article-title":"Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement","volume":"112","author":"Collins","year":"2015","journal-title":"Br J Cancer"},{"key":"10.1016\/j.clon.2022.07.007_bib12","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1016\/j.critrevonc.2019.03.015","article-title":"Radiomics: Principles and radiotherapy applications","volume":"138","author":"Gardin","year":"2019","journal-title":"Crit Rev Oncol Hematol"},{"key":"10.1016\/j.clon.2022.07.007_bib13","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1016\/j.artmed.2017.03.004","article-title":"Early prediction of radiotherapy-induced parotid shrinkage and toxicity based on CT radiomics and fuzzy classification","volume":"81","author":"Pota","year":"2017","journal-title":"Artif Intell Med"},{"key":"10.1016\/j.clon.2022.07.007_bib14","doi-asserted-by":"crossref","first-page":"441","DOI":"10.1016\/j.ejca.2011.11.036","article-title":"Radiomics: extracting more information from medical images using advanced feature analysis","volume":"48","author":"Lambin","year":"2012","journal-title":"Eur J Cancer"},{"key":"10.1016\/j.clon.2022.07.007_bib15","doi-asserted-by":"crossref","first-page":"749","DOI":"10.1038\/nrclinonc.2017.141","article-title":"Radiomics: the bridge between medical imaging and personalized medicine","volume":"14","author":"Lambin","year":"2017","journal-title":"Nat Rev Clin Oncol"},{"key":"10.1016\/j.clon.2022.07.007_bib16","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1016\/j.radonc.2017.08.024","article-title":"18)F-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.clon.2022.07.007_bib17","doi-asserted-by":"crossref","first-page":"5317","DOI":"10.1002\/mp.13150","article-title":"The utility of quantitative CT radiomics features for improved prediction of radiation pneumonitis","volume":"45","author":"Krafft","year":"2018","journal-title":"Med Phys"},{"key":"10.1016\/j.clon.2022.07.007_bib18","doi-asserted-by":"crossref","first-page":"829","DOI":"10.1080\/09553002.2018.1492756","article-title":"Rectal wall MRI radiomics in prostate cancer patients: prediction of and correlation with early rectal toxicity","volume":"94","author":"Abdollahi","year":"2018","journal-title":"Int J Radiat Biol"},{"key":"10.1016\/j.clon.2022.07.007_bib19","doi-asserted-by":"crossref","first-page":"502","DOI":"10.1186\/s12885-020-06957-4","article-title":"Machine-learning based MRI radiomics models for early detection of radiation-induced brain injury in nasopharyngeal carcinoma","volume":"20","author":"Zhang","year":"2020","journal-title":"BMC Cancer"},{"key":"10.1016\/j.clon.2022.07.007_bib20","doi-asserted-by":"crossref","first-page":"1106","DOI":"10.1007\/s00330-021-08254-5","article-title":"MRI-based radiomics nomogram for predicting temporal lobe injury after radiotherapy in nasopharyngeal carcinoma","volume":"32","author":"Hou","year":"2022","journal-title":"Eur Radiol"},{"key":"10.1016\/j.clon.2022.07.007_bib21","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1186\/1471-2407-13-397","article-title":"Radiation-induced temporal lobe injury after intensity modulated radiotherapy in nasopharyngeal carcinoma patients: a dose-volume-outcome analysis","volume":"13","author":"Sun","year":"2013","journal-title":"BMC Cancer"},{"key":"10.1016\/j.clon.2022.07.007_bib22","doi-asserted-by":"crossref","first-page":"210","DOI":"10.1148\/radiol.09090428","article-title":"Evolution of radiation-induced brain injury: MR imaging-based study","volume":"254","author":"Wang","year":"2010","journal-title":"Radiology"},{"key":"10.1016\/j.clon.2022.07.007_bib23","doi-asserted-by":"crossref","first-page":"1323","DOI":"10.1016\/j.mri.2012.05.001","article-title":"3D Slicer as an image computing platform for the Quantitative Imaging Network","volume":"30","author":"Fedorov","year":"2012","journal-title":"Magn Reson Imaging"},{"key":"10.1016\/j.clon.2022.07.007_bib24","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 Jjm","year":"2017","journal-title":"Cancer Res"},{"key":"10.1016\/j.clon.2022.07.007_bib25","first-page":"724","article-title":"Image-based molecular phenotyping of pancreatic ductal adenocarcinoma","volume":"9","author":"Kaissis","year":"2020","journal-title":"J\u00a0Clin Med"},{"key":"10.1016\/j.clon.2022.07.007_bib26","doi-asserted-by":"crossref","first-page":"5116","DOI":"10.1002\/mp.13834","article-title":"Technical Note: Virtual phantom analyses for preprocessing evaluation and detection of a robust feature set for MRI-radiomics of the brain","volume":"46","author":"Bologna","year":"2019","journal-title":"Med Phys"},{"key":"10.1016\/j.clon.2022.07.007_bib27","doi-asserted-by":"crossref","first-page":"12340","DOI":"10.1038\/s41598-020-69298-z","article-title":"Standardization of brain MR images across machines and protocols: bridging the gap for MRI-based radiomics","volume":"10","author":"Carr\u00e9","year":"2020","journal-title":"Sci Rep"},{"key":"10.1016\/j.clon.2022.07.007_bib28","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1186\/s13244-020-00887-2","article-title":"Radiomics in medical imaging \u2013\"how-to\" guide and critical reflection","volume":"11","author":"van Timmeren","year":"2020","journal-title":"Insights Imaging"},{"key":"10.1016\/j.clon.2022.07.007_bib29","article-title":"Image biomarker standardisation initiative","volume":"vol. 1612","author":"Zwanenburg","year":"2016","journal-title":"arXiv"},{"key":"10.1016\/j.clon.2022.07.007_bib30","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1016\/j.ejmp.2020.02.010","article-title":"Machine learning helps identifying volume-confounding effects in radiomics","volume":"71","author":"Traverso","year":"2020","journal-title":"Phys Med"},{"key":"10.1016\/j.clon.2022.07.007_bib31","doi-asserted-by":"crossref","first-page":"488","DOI":"10.2967\/jnumed.118.222893","article-title":"Introduction to Radiomics","volume":"61","author":"Mayerhoefer","year":"2020","journal-title":"J\u00a0Nucl Med"},{"key":"10.1016\/j.clon.2022.07.007_bib32","first-page":"62","article-title":"Definition and validation of a radiomics signature for loco-regional tumour control in patients with locally advanced head and neck squamous cell carcinoma","volume":"26","author":"Meneghetti","year":"2021","journal-title":"Clin Transl Radiat Oncol"},{"key":"10.1016\/j.clon.2022.07.007_bib33","doi-asserted-by":"crossref","first-page":"112","DOI":"10.1186\/s13014-020-01560-0","article-title":"Radiation induced temporal lobe necrosis in nasopharyngeal cancer patients after radical external beam radiotherapy","volume":"15","author":"Wu","year":"2020","journal-title":"Radiat Oncol"},{"key":"10.1016\/j.clon.2022.07.007_bib34","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1016\/S0720-048X(01)00328-X","article-title":"Late temporal lobe necrosis in patients with nasopharyngeal carcinoma: evaluation with combined multi-section diffusion weighted and perfusion weighted MR imaging","volume":"39","author":"Tsui","year":"2001","journal-title":"Eur J Radiol"},{"key":"10.1016\/j.clon.2022.07.007_bib35","doi-asserted-by":"crossref","first-page":"567","DOI":"10.1016\/j.ijrobp.2019.06.2540","article-title":"International guideline on dose prioritization and acceptance criteria in radiation therapy planning for nasopharyngeal carcinoma","volume":"105","author":"Lee","year":"2019","journal-title":"Int J Radiat Oncol Biol Phys"},{"key":"10.1016\/j.clon.2022.07.007_bib36","doi-asserted-by":"crossref","first-page":"594494","DOI":"10.3389\/fonc.2020.594494","article-title":"Development and validation of a nomogram for predicting radiation-induced temporal lobe injury in nasopharyngeal carcinoma","volume":"10","author":"Guan","year":"2020","journal-title":"Front Oncol"},{"key":"10.1016\/j.clon.2022.07.007_bib37","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1016\/j.radonc.2021.01.008","article-title":"Normal tissue complication probability (NTCP) models for predicting temporal lobe injury after intensity-modulated radiotherapy in nasopharyngeal carcinoma: a large registry-based retrospective study from China","volume":"157","author":"Wen","year":"2021","journal-title":"Radiother Oncol"},{"key":"10.1016\/j.clon.2022.07.007_bib38","doi-asserted-by":"crossref","first-page":"332","DOI":"10.1016\/j.semradonc.2017.04.006","article-title":"Radiation toxicity in the central nervous system: mechanisms and strategies for injury reduction","volume":"27","author":"Smart","year":"2017","journal-title":"Semin Radiat Oncol"},{"key":"10.1016\/j.clon.2022.07.007_bib39","doi-asserted-by":"crossref","first-page":"815","DOI":"10.1016\/j.ijrobp.2010.03.001","article-title":"Temporal lobe reactions after radiotherapy with carbon ions: incidence and estimation of the relative biological effectiveness by the local effect model","volume":"80","author":"Schlampp","year":"2011","journal-title":"Int J Radiat Oncol Biol Phys"},{"key":"10.1016\/j.clon.2022.07.007_bib40","doi-asserted-by":"crossref","first-page":"134","DOI":"10.1038\/nrc2587","article-title":"Normal tissue reactions to radiotherapy: towards tailoring treatment dose by genotype","volume":"9","author":"Barnett","year":"2009","journal-title":"Nat Rev Cancer"},{"key":"10.1016\/j.clon.2022.07.007_bib41","doi-asserted-by":"crossref","first-page":"178","DOI":"10.1016\/j.radonc.2014.02.012","article-title":"A\u00a0genome wide association study (GWAS) providing evidence of an association between common genetic variants and late radiotherapy toxicity","volume":"111","author":"Barnett","year":"2014","journal-title":"Radiother Oncol"},{"key":"10.1016\/j.clon.2022.07.007_bib42","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1016\/j.canlet.2016.02.035","article-title":"Radiogenomics: a systems biology approach to understanding genetic risk factors for radiotherapy toxicity?","volume":"382","author":"Herskind","year":"2016","journal-title":"Cancer Lett"},{"key":"10.1016\/j.clon.2022.07.007_bib43","doi-asserted-by":"crossref","first-page":"1783","DOI":"10.1016\/0959-8049(92)90004-L","article-title":"Evidence for individual differences in the radiosensitivity of human skin","volume":"28a","author":"Tucker","year":"1992","journal-title":"Eur J Cancer"},{"key":"10.1016\/j.clon.2022.07.007_bib44","doi-asserted-by":"crossref","first-page":"198","DOI":"10.1016\/S0360-3016(01)02690-6","article-title":"Deterministic rather than stochastic factors explain most of the variation in the expression of skin telangiectasia after radiotherapy","volume":"52","author":"Safwat","year":"2002","journal-title":"Int J Radiat Oncol Biol Phys"},{"key":"10.1016\/j.clon.2022.07.007_bib45","doi-asserted-by":"crossref","first-page":"410","DOI":"10.5114\/pjp.2018.81230","article-title":"Comet assay is not useful to predict normal tissue response after radiochemotherapy in cervical and larynx cancer patients","volume":"69","author":"Adamczyk","year":"2018","journal-title":"Pol J Pathol"},{"key":"10.1016\/j.clon.2022.07.007_bib46","doi-asserted-by":"crossref","first-page":"192","DOI":"10.1016\/j.ejmp.2017.10.008","article-title":"Cochlea CT radiomics predicts chemoradiotherapy induced sensorineural hearing loss in head and neck cancer patients: a machine learning and multi-variable modelling study","volume":"45","author":"Abdollahi","year":"2018","journal-title":"Phys Med"},{"key":"10.1016\/j.clon.2022.07.007_bib47","doi-asserted-by":"crossref","first-page":"1975","DOI":"10.1093\/eurheartj\/ehy404","article-title":"Clinical applications of machine learning in cardiovascular disease and its relevance to cardiac imaging","volume":"40","author":"Al'Aref","year":"2019","journal-title":"Eur Heart J"}],"container-title":["Clinical Oncology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0936655522003193?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0936655522003193?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,10,15]],"date-time":"2025-10-15T15:51:56Z","timestamp":1760543516000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0936655522003193"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12]]},"references-count":47,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2022,12]]}},"alternative-id":["S0936655522003193"],"URL":"https:\/\/doi.org\/10.1016\/j.clon.2022.07.007","relation":{},"ISSN":["0936-6555"],"issn-type":[{"value":"0936-6555","type":"print"}],"subject":[],"published":{"date-parts":[[2022,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Nomogram Based on Clinical and Radiomics Data for Predicting Radiation-induced Temporal Lobe Injury in Patients with Non-metastatic Stage T4 Nasopharyngeal Carcinoma","name":"articletitle","label":"Article Title"},{"value":"Clinical Oncology","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.clon.2022.07.007","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2022 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.","name":"copyright","label":"Copyright"}]}}