{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,17]],"date-time":"2026-06-17T21:50:37Z","timestamp":1781733037729,"version":"3.54.5"},"reference-count":45,"publisher":"Elsevier BV","issue":"3","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":[[2023,3,1]],"date-time":"2023-03-01T00:00:00Z","timestamp":1677628800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T00:00:00Z","timestamp":1677628800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T00:00:00Z","timestamp":1677628800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T00:00:00Z","timestamp":1677628800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T00:00:00Z","timestamp":1677628800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","redjournal.org","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["International Journal of Radiation Oncology*Biology*Physics"],"published-print":{"date-parts":[[2023,3]]},"DOI":"10.1016\/j.ijrobp.2022.08.039","type":"journal-article","created":{"date-parts":[[2022,8,24]],"date-time":"2022-08-24T11:29:54Z","timestamp":1661340594000},"page":"696-706","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":14,"title":["Parameters of the Lyman Model for Calculation of Normal-Tissue Complication Probability: A Systematic Literature Review"],"prefix":"10.1016","volume":"115","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5374-8720","authenticated-orcid":false,"given":"Fabio","family":"Dennst\u00e4dt","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michaela","family":"Medov\u00e1","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Paul Martin","family":"Putora","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Markus","family":"Glatzer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.ijrobp.2022.08.039_bib0001","doi-asserted-by":"crossref","first-page":"577","DOI":"10.3109\/0284186X.2014.907055","article-title":"Advancing our quantitative understanding of radiotherapy normal tissue morbidity","volume":"53","author":"Deasy","year":"2014","journal-title":"Acta Oncol"},{"key":"10.1016\/j.ijrobp.2022.08.039_bib0002","doi-asserted-by":"crossref","first-page":"S13","DOI":"10.2307\/3583506","article-title":"Complication probability as assessed from dose-volume histograms","volume":"8","author":"Lyman","year":"1985","journal-title":"Radiat Res Suppl"},{"key":"10.1016\/j.ijrobp.2022.08.039_bib0003","article-title":"Modeling radiotherapy induced normal tissue complications: An overview beyond phenomenological models","volume":"2016","author":"D'Andrea","year":"2016","journal-title":"Comput Math Methods Med"},{"key":"10.1016\/j.ijrobp.2022.08.039_bib0004","doi-asserted-by":"crossref","first-page":"197","DOI":"10.1053\/srao.2001.23478","article-title":"Modeling the effects of inhomogeneous dose distributions in normal tissues","volume":"11","author":"Yorke","year":"2001","journal-title":"Semin Radiat Oncol"},{"key":"10.1016\/j.ijrobp.2022.08.039_bib0005","doi-asserted-by":"crossref","first-page":"1623","DOI":"10.1016\/0360-3016(89)90972-3","article-title":"Calculation of complication probability factors for non-uniform normal tissue irradiation: The effective volume method","volume":"16","author":"Kutcher","year":"1989","journal-title":"Int J Radiat Oncol Biol Phys"},{"key":"10.1016\/j.ijrobp.2022.08.039_bib0006","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1118\/1.598063","article-title":"Reporting and analyzing dose distributions: A concept of equivalent uniform dose","volume":"24","author":"Niemierko","year":"1997","journal-title":"Med Phys"},{"key":"10.1016\/j.ijrobp.2022.08.039_bib0007","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1016\/j.radonc.2004.08.013","article-title":"Fitting late rectal bleeding data using different NTCP models: Results from an Italian multi-centric study (AIROPROS0101)","volume":"73","author":"Rancati","year":"2004","journal-title":"Radiother Oncol J Eur Soc Ther Radiol Oncol"},{"key":"10.1016\/j.ijrobp.2022.08.039_bib0008","doi-asserted-by":"crossref","first-page":"737","DOI":"10.1088\/0031-9155\/53\/3\/014","article-title":"Lyman-Kutcher-Burman NTCP model parameters for radiation pneumonitis and xerostomia based on combined analysis of published clinical data","volume":"53","author":"Semenenko","year":"2008","journal-title":"Phys Med Biol"},{"key":"10.1016\/j.ijrobp.2022.08.039_bib0009","doi-asserted-by":"crossref","first-page":"568","DOI":"10.1016\/j.ijrobp.2008.04.053","article-title":"Analysis of radiation pneumonitis risk using a generalized Lyman model","volume":"72","author":"Tucker","year":"2008","journal-title":"Int J Radiat Oncol Biol Phys"},{"key":"10.1016\/j.ijrobp.2022.08.039_bib0010","doi-asserted-by":"crossref","first-page":"1253","DOI":"10.1016\/j.ijrobp.2010.01.069","article-title":"Late rectal toxicity on RTOG 94-06: Analysis using a mixture Lyman model","volume":"78","author":"Tucker","year":"2010","journal-title":"Int J Radiat Oncol Biol Phys"},{"key":"10.1016\/j.ijrobp.2022.08.039_bib0011","series-title":"Cochrane Handbook for Systematic Reviews of Interventions","year":"2008"},{"key":"10.1016\/j.ijrobp.2022.08.039_bib0012","doi-asserted-by":"crossref","first-page":"S217","DOI":"10.1016\/S0360-3016(03)01031-9","article-title":"Analysis of radiation-induced gastric and duodenal bleeds using the Lyman-Kutcher-Burman model","volume":"57","author":"Pan","year":"2003","journal-title":"Int J Radiat Oncol"},{"key":"10.1016\/j.ijrobp.2022.08.039_bib0013","doi-asserted-by":"crossref","first-page":"577","DOI":"10.1016\/S0360-3016(99)00247-3","article-title":"Dose, volume, and function relationships in parotid salivary glands following conformal and intensity-modulated irradiation of head and neck cancer","volume":"45","author":"Eisbruch","year":"1999","journal-title":"Int J Radiat Oncol"},{"key":"10.1016\/j.ijrobp.2022.08.039_bib0014","doi-asserted-by":"crossref","first-page":"938","DOI":"10.1016\/S0360-3016(01)01717-5","article-title":"Qantitative dose-volume response analysis of changes in parotid gland function after radiotheraphy in the head-and-neck region","volume":"51","author":"Roesink","year":"2001","journal-title":"Int J Radiat Oncol"},{"key":"10.1016\/j.ijrobp.2022.08.039_bib0015","doi-asserted-by":"crossref","first-page":"659","DOI":"10.1016\/j.ijrobp.2004.12.015","article-title":"Long-term parotid gland function after radiotherapy","volume":"62","author":"Braam","year":"2005","journal-title":"Int J Radiat Oncol"},{"key":"10.1016\/j.ijrobp.2022.08.039_bib0016","doi-asserted-by":"crossref","first-page":"1101","DOI":"10.1016\/j.ijrobp.2008.02.059","article-title":"Large cohort dose-volume response analysis of parotid gland function after radiotherapy: Intensity-modulated versus conventional radiotherapy","volume":"72","author":"Dijkema","year":"2008","journal-title":"Int J Radiat Oncol"},{"key":"10.1016\/j.ijrobp.2022.08.039_bib0017","doi-asserted-by":"crossref","first-page":"1259","DOI":"10.1016\/j.ijrobp.2009.07.1685","article-title":"A comparison of dose-response models for the parotid gland in a large group of head-and-neck cancer patients","volume":"76","author":"Houweling","year":"2010","journal-title":"Int J Radiat Oncol"},{"key":"10.1016\/j.ijrobp.2022.08.039_bib0018","doi-asserted-by":"crossref","first-page":"449","DOI":"10.1016\/j.ijrobp.2009.07.1708","article-title":"Parotid gland function after radiotherapy: The combined Michigan and Utrecht experience","volume":"78","author":"Dijkema","year":"2010","journal-title":"Int J Radiat Oncol"},{"key":"10.1016\/j.ijrobp.2022.08.039_bib0019","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/S0360-3016(98)00196-5","article-title":"Radiation pneumonitis as a function of mean lung dose: An analysis of pooled data of 540 patients","volume":"42","author":"Kwa","year":"1998","journal-title":"Int J Radiat Oncol"},{"key":"10.1016\/j.ijrobp.2022.08.039_bib0020","doi-asserted-by":"crossref","first-page":"724","DOI":"10.1016\/S0360-3016(02)03986-X","article-title":"Comparing different NTCP models that predict the incidence of radiation pneumonitis","volume":"55","author":"Seppenwoolde","year":"2003","journal-title":"Int J Radiat Oncol"},{"key":"10.1016\/j.ijrobp.2022.08.039_bib0021","doi-asserted-by":"crossref","first-page":"691","DOI":"10.1016\/j.ijrobp.2009.05.055","article-title":"Impact of Toxicity grade and scoring system on the relationship between mean lung dose and risk of radiation pneumonitis in a large cohort of patients with non-small cell lung cancer","volume":"77","author":"Tucker","year":"2010","journal-title":"Int J Radiat Oncol"},{"key":"10.1016\/j.ijrobp.2022.08.039_bib0022","doi-asserted-by":"crossref","first-page":"S10","DOI":"10.1016\/j.ijrobp.2009.07.1754","article-title":"Use of normal tissue complication probability models in the clinic","volume":"76","author":"Marks","year":"2010","journal-title":"Int J Radiat Oncol"},{"key":"10.1016\/j.ijrobp.2022.08.039_bib0023","doi-asserted-by":"crossref","first-page":"142","DOI":"10.1016\/j.radonc.2018.12.015","article-title":"Modeling radiation pneumonitis of pulmonary stereotactic body radiotherapy: The impact of a local dose-effect relationship for lung perfusion loss","volume":"132","author":"Selvaraj","year":"2019","journal-title":"Radiother Oncol"},{"key":"10.1016\/j.ijrobp.2022.08.039_bib0024","doi-asserted-by":"crossref","first-page":"1513","DOI":"10.1016\/j.ijrobp.2003.09.015","article-title":"Characterization of rectal normal tissue complication probability after high-dose external beam radiotherapy for prostate cancer","volume":"58","author":"Cheung","year":"2004","journal-title":"Int J Radiat Oncol"},{"key":"10.1016\/j.ijrobp.2022.08.039_bib45","doi-asserted-by":"crossref","first-page":"1589","DOI":"10.1016\/j.ijrobp.2004.07.712","article-title":"Comparison of rectal dose\u2013wall histogram versus dose\u2013volume histogram for modeling the incidence of late rectal bleeding after radiotherapy","volume":"60","author":"Tucker","year":"2004","journal-title":"Int J Radiat Oncol"},{"key":"10.1016\/j.ijrobp.2022.08.039_bib0025","doi-asserted-by":"crossref","first-page":"1066","DOI":"10.1016\/j.ijrobp.2006.10.014","article-title":"Incidence of late rectal bleeding in high-dose conformal radiotherapy of prostate cancer using equivalent uniform dose-based and dose-volume-based normal tissue complication probability models","volume":"67","author":"S\u00f6hn","year":"2007","journal-title":"Int J Radiat Oncol"},{"key":"10.1016\/j.ijrobp.2022.08.039_bib0026","doi-asserted-by":"crossref","first-page":"1040","DOI":"10.3109\/0284186X.2010.509736","article-title":"Normal tissue complication probability (NTCP) modeling of late rectal bleeding following external beam radiotherapy for prostate cancer: A test of the QUANTEC-recommended NTCP model","volume":"49","author":"Liu","year":"2010","journal-title":"Acta Oncol"},{"key":"10.1016\/j.ijrobp.2022.08.039_bib0027","doi-asserted-by":"crossref","first-page":"3749","DOI":"10.1088\/0031-9155\/59\/14\/3749","article-title":"Influence of image slice thickness on rectal dose-response relationships following radiotherapy of prostate cancer","volume":"59","author":"Olsson","year":"2014","journal-title":"Phys Med Biol"},{"key":"10.1016\/j.ijrobp.2022.08.039_bib0028","doi-asserted-by":"crossref","first-page":"654","DOI":"10.1016\/j.ijrobp.2014.07.008","article-title":"Functional data analysis in NTCP modeling: A new method to explore the radiation dose-volume effects","volume":"90","author":"Benadjaoud","year":"2014","journal-title":"Int J Radiat Oncol"},{"key":"10.1016\/j.ijrobp.2022.08.039_bib0029","doi-asserted-by":"crossref","first-page":"88","DOI":"10.1016\/j.radonc.2018.02.020","article-title":"Inter-institutional analysis demonstrates the importance of lower than previously anticipated dose regions to prevent late rectal bleeding following prostate radiotherapy","volume":"127","author":"Thor","year":"2018","journal-title":"Radiother Oncol"},{"key":"10.1016\/j.ijrobp.2022.08.039_bib0030","doi-asserted-by":"crossref","first-page":"596","DOI":"10.1016\/j.ijrobp.2020.12.041","article-title":"Estimates of alpha\/beta (\u03b1\/\u03b2) ratios for individual late rectal toxicity endpoints: An analysis of the CHHiP trial","volume":"110","author":"Brand","year":"2021","journal-title":"Int J Radiat Oncol"},{"key":"10.1016\/j.ijrobp.2022.08.039_bib0031","doi-asserted-by":"crossref","first-page":"210","DOI":"10.1053\/j.seminoncol.2019.07.006","article-title":"Normal tissue complication probability (NTCP) models for modern radiation therapy","volume":"46","author":"Palma","year":"2019","journal-title":"Semin Oncol"},{"key":"10.1016\/j.ijrobp.2022.08.039_bib0032","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"},{"key":"10.1016\/j.ijrobp.2022.08.039_bib0033","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1016\/j.radonc.2012.05.008","article-title":"Biological mechanisms of normal tissue damage: Importance for the design of NTCP models","volume":"105","author":"Trott","year":"2012","journal-title":"Radiother Oncol"},{"key":"10.1016\/j.ijrobp.2022.08.039_bib0034","doi-asserted-by":"crossref","first-page":"192","DOI":"10.1016\/j.ejmp.2019.12.013","article-title":"Voxel-based analysis in radiation oncology: A methodological cookbook","volume":"69","author":"Palma","year":"2020","journal-title":"Phys Med"},{"key":"10.1016\/j.ijrobp.2022.08.039_bib0035","doi-asserted-by":"crossref","first-page":"e203","DOI":"10.1002\/mp.13751","article-title":"Genomics models in radiotherapy: From mechanistic to machine learning","volume":"47","author":"Kang","year":"2020","journal-title":"Med Phys"},{"key":"10.1016\/j.ijrobp.2022.08.039_bib0036","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.ijrobp.2022.08.039_bib0037","doi-asserted-by":"crossref","first-page":"300","DOI":"10.1016\/j.semradonc.2017.04.005","article-title":"Radiogenomics: Identification of genomic predictors for radiation toxicity","volume":"27","author":"Rosenstein","year":"2017","journal-title":"Semin Radiat Oncol"},{"key":"10.1016\/j.ijrobp.2022.08.039_bib0038","doi-asserted-by":"crossref","first-page":"347","DOI":"10.1016\/j.radonc.2011.10.022","article-title":"Parameters for the Lyman Kutcher Burman (LKB) model of normal tissue complication probability (NTCP) for specific rectal complications observed in clinical practise","volume":"102","author":"Gulliford","year":"2012","journal-title":"Radiother Oncol J Eur Soc Ther Radiol Oncol"},{"key":"10.1016\/j.ijrobp.2022.08.039_bib0039","doi-asserted-by":"crossref","first-page":"10559","DOI":"10.1038\/s41598-020-67499-0","article-title":"The dose-response characteristics of four NTCP models: Using a novel CT-based radiomic method to quantify radiation-induced lung density changes","volume":"10","author":"Begosh-Mayne","year":"2020","journal-title":"Sci Rep"},{"key":"10.1016\/j.ijrobp.2022.08.039_bib0040","doi-asserted-by":"crossref","first-page":"L1","DOI":"10.1088\/0031-9155\/51\/3\/L01","article-title":"Clinical validation of the LKB model and parameter sets for predicting radiation-induced pneumonitis from breast cancer radiotherapy","volume":"51","author":"Tsougos","year":"2006","journal-title":"Phys Med Biol"},{"key":"10.1016\/j.ijrobp.2022.08.039_bib0041","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1007\/s13246-010-0051-3","article-title":"On the use of published radiobiological parameters and the evaluation of NTCP models regarding lung pneumonitis in clinical breast radiotherapy","volume":"34","author":"Svolos","year":"2011","journal-title":"Australas Phys Eng Sci Med"},{"key":"10.1016\/j.ijrobp.2022.08.039_bib0042","doi-asserted-by":"crossref","first-page":"2025","DOI":"10.1016\/j.ijrobp.2011.03.004","article-title":"Normal tissue complication probability estimation by the Lyman-Kutcher-Burman method does not accurately predict spinal cord tolerance to stereotactic radiosurgery","volume":"82","author":"Daly","year":"2012","journal-title":"Int J Radiat Oncol"},{"key":"10.1016\/j.ijrobp.2022.08.039_bib0043","doi-asserted-by":"crossref","first-page":"393","DOI":"10.1111\/1754-9485.12462","article-title":"A review of interventions to reduce inter-observer variability in volume delineation in radiation oncology","volume":"60","author":"Vinod","year":"2016","journal-title":"J Med Imaging Radiat Oncol"},{"key":"10.1016\/j.ijrobp.2022.08.039_bib0044","doi-asserted-by":"crossref","first-page":"293","DOI":"10.1016\/j.radonc.2013.07.006","article-title":"Normal tissue complication probability (NTCP) parameters for breast fibrosis: Pooled results from two randomised trials","volume":"108","author":"Mukesh","year":"2013","journal-title":"Radiother Oncol"}],"container-title":["International Journal of Radiation Oncology*Biology*Physics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0360301622031583?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0360301622031583?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,10,6]],"date-time":"2025-10-06T10:05:02Z","timestamp":1759745102000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0360301622031583"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,3]]},"references-count":45,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2023,3]]}},"alternative-id":["S0360301622031583"],"URL":"https:\/\/doi.org\/10.1016\/j.ijrobp.2022.08.039","relation":{},"ISSN":["0360-3016"],"issn-type":[{"value":"0360-3016","type":"print"}],"subject":[],"published":{"date-parts":[[2023,3]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Parameters of the Lyman Model for Calculation of Normal-Tissue Complication Probability: A Systematic Literature Review","name":"articletitle","label":"Article Title"},{"value":"International Journal of Radiation Oncology*Biology*Physics","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ijrobp.2022.08.039","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2022 Elsevier Inc. All rights reserved.","name":"copyright","label":"Copyright"}]}}