{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,25]],"date-time":"2026-10-25T03:26:11Z","timestamp":1792898771602,"version":"4.5.0"},"reference-count":76,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T00:00:00Z","timestamp":1709251200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T00:00:00Z","timestamp":1709251200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2024,1,18]],"date-time":"2024-01-18T00:00:00Z","timestamp":1705536000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100000849","name":"NC3Rs","doi-asserted-by":"publisher","award":["NC\/V002295\/1"],"award-info":[{"award-number":["NC\/V002295\/1"]}],"id":[{"id":"10.13039\/501100000849","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100016337","name":"Department for the Economy","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100016337","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010757","name":"National Centre for the Replacement Refinement and Reduction of Animals in Research","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100010757","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000265","name":"Medical Research Council","doi-asserted-by":"publisher","award":["MR\/V009605\/1"],"award-info":[{"award-number":["MR\/V009605\/1"]}],"id":[{"id":"10.13039\/501100000265","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000661","name":"Higher Education Academy","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000661","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","thegreenjournal.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Radiotherapy and Oncology"],"published-print":{"date-parts":[[2024,3]]},"DOI":"10.1016\/j.radonc.2024.110106","type":"journal-article","created":{"date-parts":[[2024,1,20]],"date-time":"2024-01-20T11:14:40Z","timestamp":1705749280000},"page":"110106","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":20,"special_numbering":"C","title":["Characterisation of quantitative imaging biomarkers for inflammatory and fibrotic radiation-induced lung injuries using preclinical radiomics"],"prefix":"10.1016","volume":"192","author":[{"given":"Kathryn H.","family":"Brown","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mihaela","family":"Ghita-Pettigrew","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Brianna N.","family":"Kerr","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Letitia","family":"Mohamed-Smith","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gerard M.","family":"Walls","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Conor K.","family":"McGarry","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Karl T.","family":"Butterworth","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.radonc.2024.110106_b0005","doi-asserted-by":"crossref","first-page":"1116","DOI":"10.1016\/S1470-2045(17)30318-2","article-title":"Concurrent once-daily versus twice-daily chemoradiotherapy in patients with limited-stage small-cell lung cancer (CONVERT): an open-label, phase 3, randomised, superiority trial","volume":"18","author":"Faivre-Finn","year":"2017","journal-title":"Lancet Oncol"},{"key":"10.1016\/j.radonc.2024.110106_b0010","doi-asserted-by":"crossref","first-page":"1301","DOI":"10.1200\/JCO.21.01308","article-title":"Five-year survival outcomes from the PACIFIC trial: Durvalumab after chemoradiotherapy in stage III non-small-cell lung cancer","volume":"40","author":"Spigel","year":"2022","journal-title":"J Clin Oncol"},{"key":"10.1016\/j.radonc.2024.110106_b0015","doi-asserted-by":"crossref","DOI":"10.1259\/bjr.20180473","article-title":"Preclinical models of radiation-induced lung damage: challenges and opportunities for small animal radiotherapy","volume":"92","author":"Ghita","year":"2019","journal-title":"Br J Radiol"},{"key":"10.1016\/j.radonc.2024.110106_b0020","article-title":"Normal tissue damage: its importance, history and challenges for the future","volume":"92","author":"Williams","year":"2019","journal-title":"Br J Radiol"},{"key":"10.1016\/j.radonc.2024.110106_b0025","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1016\/j.semradonc.2010.01.010","article-title":"Radiation pulmonary toxicity: From mechanisms to management","volume":"20","author":"Graves","year":"2010","journal-title":"Semin Radiat Oncol"},{"key":"10.1016\/j.radonc.2024.110106_b0030","doi-asserted-by":"crossref","unstructured":"Liu, X., Shao, C. & Fu, J. Promising biomarkers of radiation-induced lung injury: A review. Biomedicines vol. 9 Preprint at https:\/\/doi.org\/10.3390\/biomedicines9091181 (2021).","DOI":"10.3390\/biomedicines9091181"},{"key":"10.1016\/j.radonc.2024.110106_b0035","doi-asserted-by":"crossref","DOI":"10.1186\/s13014-016-0693-8","article-title":"A critical review of recent developments in radiotherapy for non-small cell lung cancer","volume":"11","author":"Baker","year":"2016","journal-title":"Radiat Oncol"},{"key":"10.1016\/j.radonc.2024.110106_b0040","doi-asserted-by":"crossref","first-page":"735","DOI":"10.1016\/S0360-3016(02)02994-2","article-title":"Outcome and prognostic factors for patients with non-small-cell lung cancer and severe radiation pneumonitis","volume":"54","author":"Wang","year":"2002","journal-title":"Int J Radiation Oncology Biol Phys"},{"key":"10.1016\/j.radonc.2024.110106_b0045","doi-asserted-by":"crossref","first-page":"444","DOI":"10.1016\/j.ijrobp.2012.04.043","article-title":"Predicting radiation pneumonitis after chemoradiation therapy for lung cancer: An international individual patient data meta-analysis","volume":"85","author":"Palma","year":"2013","journal-title":"Int J Radiat Oncol Biol Phys"},{"key":"10.1016\/j.radonc.2024.110106_b0050","first-page":"1","article-title":"Inflammatory mechanisms in the lung","volume":"2","author":"Moldoveanu","year":"2009","journal-title":"J Inflamm Res"},{"key":"10.1016\/j.radonc.2024.110106_b0055","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1016\/j.ijrobp.2005.03.047","article-title":"Radiation pneumonitis and pulmonary fibrosis in non-small-cell lung cancer: Pulmonary function, prediction, and prevention","volume":"63","author":"Mehta","year":"2005","journal-title":"Int J Radiat Oncol Biol Phys"},{"key":"10.1016\/j.radonc.2024.110106_b0060","doi-asserted-by":"crossref","unstructured":"Hanania, A. N., Mainwaring, W., Ghebre, Y. T., Hanania, N. A. & Ludwig, M. Radiation-Induced Lung Injury: Assessment and Management. Chest vol. 156 150\u2013162 Preprint at https:\/\/doi.org\/10.1016\/j.chest.2019.03.033 (2019).","DOI":"10.1016\/j.chest.2019.03.033"},{"key":"10.1016\/j.radonc.2024.110106_b0065","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1016\/S0169-5002(01)00334-8","article-title":"Lung toxicity following chest irradiation in patients with lung cancer","volume":"35","author":"Abratt","year":"2002","journal-title":"Lung Cancer"},{"key":"10.1016\/j.radonc.2024.110106_b0070","doi-asserted-by":"crossref","unstructured":"Giuranno, L., Ient, J., De Ruysscher, D. & Vooijs, M. A. Radiation-Induced Lung Injury (RILI). Frontiers in Oncology vol. 9 Preprint at https:\/\/doi.org\/10.3389\/fonc.2019.00877 (2019).","DOI":"10.3389\/fonc.2019.00877"},{"key":"10.1016\/j.radonc.2024.110106_b0075","doi-asserted-by":"crossref","unstructured":"Arroyo-Hern\u00e1ndez, M. et al. Radiation-induced lung injury: current evidence. BMC Pulmonary Medicine vol. 21 Preprint at https:\/\/doi.org\/10.1186\/s12890-020-01376-4 (2021).","DOI":"10.1186\/s12890-020-01376-4"},{"key":"10.1016\/j.radonc.2024.110106_b0080","doi-asserted-by":"crossref","first-page":"1024","DOI":"10.1016\/j.ijrobp.2011.11.080","article-title":"Regional normal lung tissue density changes in patients treated with stereotactic body radiation therapy for lung tumors","volume":"84","author":"Diot","year":"2012","journal-title":"Int J Radiat Oncol Biol Phys"},{"key":"10.1016\/j.radonc.2024.110106_b0085","doi-asserted-by":"crossref","first-page":"642","DOI":"10.1016\/j.ijrobp.2018.06.038","article-title":"Radiation-Induced Lung Density Changes on CT Scan for NSCLC: No Impact of Dose-Escalation Level or Volume","volume":"102","author":"Defraene","year":"2018","journal-title":"Int J Radiat Oncol Biol Phys"},{"key":"10.1016\/j.radonc.2024.110106_b0090","doi-asserted-by":"crossref","DOI":"10.3390\/cancers14051341","article-title":"A novel and automated approach to classify radiation induced lung tissue damage on CT scans","volume":"14","author":"Szmul","year":"2022","journal-title":"Cancers (Basel)"},{"key":"10.1016\/j.radonc.2024.110106_b0095","doi-asserted-by":"crossref","unstructured":"R.S. Kirkland et al. Predictors of In-Hospital Death in Patients with Lung Cancer Admitted for Acute Radiation Pneumonitis: A Healthcare Cost and Utilization Project (HCUP) Analysis Clin Lung Cancer 22 2021 e716 e722.","DOI":"10.1016\/j.cllc.2021.01.016"},{"key":"10.1016\/j.radonc.2024.110106_b0100","doi-asserted-by":"crossref","unstructured":"Inoue, A. et al. Radiation Pneumonitis in Lung Cancer Patients: A Retrospective Study of Risk Factors and the Long-term Prognosis. (2001).","DOI":"10.1016\/S0360-3016(00)00783-5"},{"key":"10.1016\/j.radonc.2024.110106_b0105","doi-asserted-by":"crossref","unstructured":"Kong, F. M. (Spring) & Wang, S. Nondosimetric Risk Factors for Radiation-Induced Lung Toxicity. Seminars in Radiation Oncology vol. 25 100\u2013109 Preprint at https:\/\/doi.org\/10.1016\/j.semradonc.2014.12.003 (2015).","DOI":"10.1016\/j.semradonc.2014.12.003"},{"key":"10.1016\/j.radonc.2024.110106_b0110","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.radonc.2024.110106_b0115","doi-asserted-by":"crossref","first-page":"3980","DOI":"10.1002\/mp.13029","article-title":"A multiobjective Bayesian networks approach for joint prediction of tumor local control and radiation pneumonitis in nonsmall-cell lung cancer (NSCLC) for response-adapted radiotherapy","volume":"45","author":"Luo","year":"2018","journal-title":"Med Phys"},{"key":"10.1016\/j.radonc.2024.110106_b0120","doi-asserted-by":"crossref","first-page":"1161","DOI":"10.1016\/j.ijrobp.2021.01.049","article-title":"Dosimetric factors and radiomics features within different regions of interest in planning CT images for improving the prediction of radiation pneumonitis","volume":"110","author":"Jiang","year":"2021","journal-title":"Int J Radiat Oncol Biol Phys"},{"key":"10.1016\/j.radonc.2024.110106_b0125","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.2024.110106_b0130","article-title":"Radiation and immune checkpoint inhibitor-mediated pneumonitis risk stratification in patients with locally advanced non-small cell lung cancer: role of functional lung radiomics?","volume":"13","author":"Thomas","year":"2022","journal-title":"Discover Oncol"},{"key":"10.1016\/j.radonc.2024.110106_b0135","doi-asserted-by":"crossref","first-page":"1048","DOI":"10.1016\/j.ijrobp.2014.11.030","article-title":"Lung texture in serial thoracic computed tomography scans: Correlation of radiomics-based features with radiation therapy dose and radiation pneumonitis development","volume":"91","author":"Cunliffe","year":"2015","journal-title":"Int J Radiat Oncol Biol Phys"},{"key":"10.1016\/j.radonc.2024.110106_b0140","article-title":"Radiomics for predicting lung cancer outcomes following radiotherapy: A systematic review","author":"Walls","year":"2021","journal-title":"Clin Oncol"},{"key":"10.1016\/j.radonc.2024.110106_b0145","doi-asserted-by":"crossref","first-page":"272","DOI":"10.1016\/j.clon.2019.02.008","article-title":"Evolution of the supermodel: Progress in modelling radiotherapy response in mice","volume":"31","author":"Butterworth","year":"2019","journal-title":"Clin Oncol (R Coll Radiol)"},{"key":"10.1016\/j.radonc.2024.110106_b0150","first-page":"112","article-title":"A scoping review of small animal image-guided radiotherapy research: Advances, impact and future opportunities in translational radiobiology","volume":"34","author":"Brown","year":"2022","journal-title":"Clin Transl Radiat Oncol"},{"key":"10.1016\/j.radonc.2024.110106_b0155","doi-asserted-by":"crossref","DOI":"10.1186\/1756-8722-2-6","article-title":"Radiation produces differential changes in cytokine profiles in radiation lung fibrosis sensitive and resistant mice","volume":"2","author":"Ao","year":"2009","journal-title":"J Hematol Oncol"},{"key":"10.1016\/j.radonc.2024.110106_b0160","doi-asserted-by":"crossref","unstructured":"Wirsd\u00f6rfer, F. & Jendrossek, V. The role of lymphocytes in radiotherapy-induced adverse late effects in the lung. Frontiers in Immunology vol. 7 Preprint at https:\/\/doi.org\/10.3389\/fimmu.2016.00591 (2016).","DOI":"10.3389\/fimmu.2016.00591"},{"key":"10.1016\/j.radonc.2024.110106_b0165","doi-asserted-by":"crossref","DOI":"10.1186\/s13014-015-0359-y","article-title":"Acute adaptive immune response correlates with late radiation-induced pulmonary fibrosis in mice","volume":"10","author":"Paun","year":"2015","journal-title":"Radiat Oncol"},{"key":"10.1016\/j.radonc.2024.110106_b0170","doi-asserted-by":"crossref","first-page":"1231","DOI":"10.1016\/j.ijrobp.2018.12.010","article-title":"Preclinical evaluation of dose-volume effects and lung toxicity occurring in and out-of-field","volume":"103","author":"Ghita","year":"2019","journal-title":"Int J Radiat Oncol Biol Phys"},{"key":"10.1016\/j.radonc.2024.110106_b0175","doi-asserted-by":"crossref","DOI":"10.1038\/s41467-023-38134-z","article-title":"An interactive murine single-cell atlas of the lung responses to radiation injury","volume":"14","author":"Curras-Alonso","year":"2023","journal-title":"Nat Commun"},{"key":"10.1016\/j.radonc.2024.110106_b0180","doi-asserted-by":"crossref","unstructured":"Dabjan, M. B. et al. A survey of changing trends in modelling radiation lung injury in mice: Bringing out the good, the bad, and the uncertain. Laboratory Investigation vol. 96 936\u2013949 Preprint at https:\/\/doi.org\/10.1038\/labinvest.2016.76 (2016).","DOI":"10.1038\/labinvest.2016.76"},{"key":"10.1016\/j.radonc.2024.110106_b0185","doi-asserted-by":"crossref","unstructured":"McGrath, J. C. & Lilley, E. Implementing guidelines on reporting research using animals (ARRIVE etc.): New requirements for publication in BJP. Br J Pharmacol 172, 3189\u20133193 (2015).","DOI":"10.1111\/bph.12955"},{"key":"10.1016\/j.radonc.2024.110106_b0190","doi-asserted-by":"crossref","unstructured":"Rosser, K. E. The IPEMB code of practice for the determination of absorbed dose for x-rays below 300 kV generating potential (0.035 mm Al-4 mm Cu HVL; 10-300 kV generating potential). Institution of Physics and Engineering in Medicine and Biology. Phys Med Biol 41, 2605\u20132625 (1996).","DOI":"10.1088\/0031-9155\/41\/12\/002"},{"key":"10.1016\/j.radonc.2024.110106_b0195","doi-asserted-by":"crossref","unstructured":"Chen, E. Y. et al. Enrichr: interactive and collaborative HTML5 gene list enrichment analysis tool. http:\/\/amp.pharm.mssm.edu\/Enrichr. (2013).","DOI":"10.1186\/1471-2105-14-128"},{"key":"10.1016\/j.radonc.2024.110106_b0200","doi-asserted-by":"crossref","first-page":"2677","DOI":"10.3390\/cancers15102677","article-title":"Assessment of variabilities in lung-contouring methods on CBCT preclinical radiomics outputs","volume":"15","author":"Brown","year":"2023","journal-title":"Cancers (Basel)"},{"key":"10.1016\/j.radonc.2024.110106_b0205","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.2024.110106_b0210","article-title":"Development and optimisation of a preclinical cone beam computed tomography-based radiomics workflow for radiation oncology research","volume":"26","author":"Brown","year":"2023","journal-title":"Phys Imaging Radiat Oncol"},{"key":"10.1016\/j.radonc.2024.110106_b0215","doi-asserted-by":"crossref","unstructured":"Zwanenburg, A., Leger, S., Valli\u00e8res, M. & L\u00f6ck, S. Image biomarker standardisation initiative. (2016) doi:10.1148\/radiol.2020191145.","DOI":"10.1148\/radiol.2020191145"},{"key":"10.1016\/j.radonc.2024.110106_b0220","doi-asserted-by":"crossref","DOI":"10.1016\/j.simpa.2023.100508","article-title":"Precision-medicine-toolbox: An open-source python package for the quantitative medical image analysis[Formula presented]","volume":"16","author":"Lavrova","year":"2023","journal-title":"Software Impacts"},{"key":"10.1016\/j.radonc.2024.110106_b0225","doi-asserted-by":"crossref","first-page":"1509","DOI":"10.1093\/bioinformatics\/bti171","article-title":"Optimal number of features as a function of sample size for various classification rules","volume":"21","author":"Hua","year":"2005","journal-title":"Bioinformatics"},{"key":"10.1016\/j.radonc.2024.110106_b0230","doi-asserted-by":"crossref","unstructured":"Li, Y. et al. The Role of IL-6 in Fibrotic Diseases: Molecular and Cellular Mechanisms. International Journal of Biological Sciences vol. 18 5405\u20135414 Preprint at https:\/\/doi.org\/10.7150\/ijbs.75876 (2022).","DOI":"10.7150\/ijbs.75876"},{"key":"10.1016\/j.radonc.2024.110106_b0235","doi-asserted-by":"crossref","unstructured":"She, Y. X., Yu, Q. Y. & Tang, X. X. Role of interleukins in the pathogenesis of pulmonary fibrosis. Cell Death Discovery vol. 7 Preprint at https:\/\/doi.org\/10.1038\/s41420-021-00437-9 (2021).","DOI":"10.1038\/s41420-021-00437-9"},{"key":"10.1016\/j.radonc.2024.110106_b0240","doi-asserted-by":"crossref","unstructured":"Anas, A., Van Der Poll, T. & De Vos, A. F. Role of CD14 in Lung Inflammation and Infection. Intensive Care Med 129\u2013140 (2011) doi:10.1007\/978-1-4419-5562-3_13.","DOI":"10.1007\/978-1-4419-5562-3_13"},{"key":"10.1016\/j.radonc.2024.110106_b0245","doi-asserted-by":"crossref","first-page":"966","DOI":"10.1164\/rccm.201309-1592OC","article-title":"C-X-C motif chemokine 13 (CXCL13) is a prognostic biomarker of idiopathic pulmonary fibrosis","volume":"189","author":"Vuga","year":"2014","journal-title":"Am J Respir Crit Care Med"},{"key":"10.1016\/j.radonc.2024.110106_b0250","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1016\/j.radonc.2018.12.009","article-title":"Incidence and evolution of imaging changes on cone-beam CT during and after radical radiotherapy for non-small cell lung cancer","volume":"132","author":"Clarke","year":"2019","journal-title":"Radiother Oncol"},{"key":"10.1016\/j.radonc.2024.110106_b0255","doi-asserted-by":"crossref","DOI":"10.1259\/bjro.20220049","article-title":"Clinico-radiological outcomes after radical radiotherapy for lung cancer in patients with interstitial lung disease","author":"Walls","year":"2023","journal-title":"BJR|Open"},{"key":"10.1016\/j.radonc.2024.110106_b0260","doi-asserted-by":"crossref","first-page":"451","DOI":"10.1016\/j.lungcan.2011.05.010","article-title":"Time and dose-related changes in radiological lung density after concurrent chemoradiotherapy for lung cancer","volume":"74","author":"Phernambucq","year":"2011","journal-title":"Lung Cancer"},{"key":"10.1016\/j.radonc.2024.110106_b0265","doi-asserted-by":"crossref","DOI":"10.1186\/s13014-019-1276-2","article-title":"Changes of lung parenchyma density following high dose radiation therapy for thoracic carcinomas - An automated analysis of follow up CT scans","volume":"14","author":"Schr\u00f6der","year":"2019","journal-title":"Radiat Oncol"},{"key":"10.1016\/j.radonc.2024.110106_b0270","doi-asserted-by":"crossref","DOI":"10.1186\/s40644-022-00491-1","article-title":"CT patterns and serial CT Changes in lung Cancer patients post stereotactic body radiotherapy (SBRT)","volume":"22","author":"Al-Umairi","year":"2022","journal-title":"Cancer Imaging"},{"key":"10.1016\/j.radonc.2024.110106_b0275","unstructured":"National Cancer Institute. Common Terminology Criteria for Adverse Events v3.0 (CTCAE). https:\/\/ctep.cancer.gov\/protocoldevelopment\/electronic_applications\/docs\/ctcaev3.pdf (2006)."},{"key":"10.1016\/j.radonc.2024.110106_b0280","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1667\/RR1911.1","article-title":"Revisiting strain-related differences in radiation sensitivity of the mouse lung: Recognizing and avoiding the confounding effects of pleural effusions","volume":"173","author":"Jackson","year":"2010","journal-title":"Radiat Res"},{"key":"10.1016\/j.radonc.2024.110106_b0285","doi-asserted-by":"crossref","first-page":"475","DOI":"10.1016\/j.radonc.2017.06.025","article-title":"Inhibition of ataxia telangiectasia related-3 (ATR) improves therapeutic index in preclinical models of non-small cell lung cancer (NSCLC) radiotherapy","volume":"124","author":"Dunne","year":"2017","journal-title":"Radiother Oncol"},{"key":"10.1016\/j.radonc.2024.110106_b0290","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1016\/j.radonc.2019.06.034","article-title":"Evofosfamide sensitizes esophageal carcinomas to radiation without increasing normal tissue toxicity","volume":"141","author":"Spiegelberg","year":"2019","journal-title":"Radiother Oncol"},{"key":"10.1016\/j.radonc.2024.110106_b0295","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1016\/j.radonc.2019.05.007","article-title":"Micro cone beam computed tomography for sensitive assessment of radiation-induced late lung toxicity in preclinical models","volume":"138","author":"van Berlo","year":"2019","journal-title":"Radiother Oncol"},{"key":"10.1016\/j.radonc.2024.110106_b0300","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0045960","article-title":"Detection and early phase assessment of radiation-induced lung injury in mice using micro-CT","volume":"7","author":"Saito","year":"2012","journal-title":"PLoS One"},{"key":"10.1016\/j.radonc.2024.110106_b0305","doi-asserted-by":"crossref","unstructured":"Meyerholz, D. K., Sieren, J. C., Beck, A. P. & Flaherty, H. A. Approaches to Evaluate Lung Inflammation in Translational Research. Veterinary Pathology vol. 55 42\u201352 Preprint at https:\/\/doi.org\/10.1177\/0300985817726117 (2018).","DOI":"10.1177\/0300985817726117"},{"key":"10.1016\/j.radonc.2024.110106_b0310","doi-asserted-by":"crossref","first-page":"1597","DOI":"10.1080\/0284186X.2017.1349336","article-title":"A new method to assess pulmonary changes using 18F-fluoro-2-deoxyglucose positron emission tomography for lung cancer patients following radiotherapy","volume":"56","author":"Abravan","year":"2017","journal-title":"Acta Oncol (Madr)"},{"key":"10.1016\/j.radonc.2024.110106_b0315","doi-asserted-by":"crossref","first-page":"601","DOI":"10.1002\/mrm.24525","article-title":"Detection of radiation-induced lung injury using hyperpolarized 13C magnetic resonance spectroscopy and imaging","volume":"70","author":"Thind","year":"2013","journal-title":"Magn Reson Med"},{"key":"10.1016\/j.radonc.2024.110106_b0320","article-title":"Prediction of acute radiation-induced lung toxicity after stereotactic body radiation therapy using dose-volume parameters from functional mapping on gallium 68 perfusion positron emission tomography\/computed tomography","author":"Lucia","year":"2023","journal-title":"Int J Radiat Oncol Biol Phys"},{"key":"10.1016\/j.radonc.2024.110106_b0325","doi-asserted-by":"crossref","DOI":"10.1016\/j.radonc.2023.109543","article-title":"Influence of the irradiated pulmonary microenvironment on macrophage and T cell dynamics","volume":"183","author":"Groves","year":"2023","journal-title":"Radiother Oncol"},{"key":"10.1016\/j.radonc.2024.110106_b0330","article-title":"Bioinformatics methods for learning radiation-induced lung inflammation from heterogeneous retrospective and prospective data","volume":"2009","author":"El Naqa","year":"2009","journal-title":"J Biomed Biotechnol"},{"key":"10.1016\/j.radonc.2024.110106_b0335","article-title":"Increased expression and accumulation of GDF15 in IPF extracellular matrix contribute to fibrosis","volume":"7","author":"Radwanska","year":"2022","journal-title":"Ref Inform: JCI Insight"},{"key":"10.1016\/j.radonc.2024.110106_b0340","doi-asserted-by":"crossref","first-page":"3686","DOI":"10.1002\/mp.12282","article-title":"Incorporation of pre-therapy 18F-FDG uptake data with CT texture features into a radiomics model for radiation pneumonitis diagnosis","volume":"44","author":"Anthony","year":"2017","journal-title":"Med Phys"},{"key":"10.1016\/j.radonc.2024.110106_b0345","doi-asserted-by":"crossref","first-page":"1104","DOI":"10.1016\/S1076-6332(03)00330-1","article-title":"Characterization of the interstitial lung diseases via density-based and texture-based analysis of computed tomography images of lung structure and function1","volume":"10","author":"Hoffman","year":"2003","journal-title":"Acad Radiol"},{"key":"10.1016\/j.radonc.2024.110106_b0350","doi-asserted-by":"crossref","first-page":"871","DOI":"10.1148\/radiol.2283020505","article-title":"Obstructive lung diseases: Texture classification for differentiation at CT","volume":"228","author":"Chabat","year":"2003","journal-title":"Radiology"},{"key":"10.1016\/j.radonc.2024.110106_b0355","doi-asserted-by":"crossref","DOI":"10.1186\/s13014-021-01805-6","article-title":"Radiomics for prediction of radiation-induced lung injury and oncologic outcome after robotic stereotactic body radiotherapy of lung cancer: results from two independent institutions","volume":"16","author":"Bousabarah","year":"2021","journal-title":"Radiat Oncol"},{"key":"10.1016\/j.radonc.2024.110106_b0360","doi-asserted-by":"crossref","first-page":"443","DOI":"10.1016\/j.ijrobp.2021.04.047","article-title":"Computed tomography-based delta-radiomics analysis for discriminating radiation pneumonitis in patients with esophageal cancer after radiation therapy","volume":"111","author":"Wang","year":"2021","journal-title":"Int J Radiat Oncol Biol Phys"},{"key":"10.1016\/j.radonc.2024.110106_b0365","doi-asserted-by":"crossref","first-page":"964","DOI":"10.1111\/1759-7714.13349","article-title":"Cone-beam CT radiomics features might improve the prediction of lung toxicity after SBRT in stage I NSCLC patients","volume":"11","author":"Qin","year":"2020","journal-title":"Thorac Cancer"},{"key":"10.1016\/j.radonc.2024.110106_b0370","doi-asserted-by":"crossref","DOI":"10.1183\/13993003.01721-2016","article-title":"Comorbidities in the management of patients with lung cancer","volume":"49","author":"Leduc","year":"2017","journal-title":"Eur Respir J"},{"key":"10.1016\/j.radonc.2024.110106_b0375","doi-asserted-by":"crossref","first-page":"453","DOI":"10.1016\/j.ijrobp.2022.08.031","article-title":"Spatial gene expression changes in the mouse heart after base-targeted irradiation","volume":"115","author":"Walls","year":"2023","journal-title":"Int J Radiat Oncol Biol Phys"},{"key":"10.1016\/j.radonc.2024.110106_b0380","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1038\/s41592-020-01033-y","article-title":"Method of the Year: spatially resolved transcriptomics","volume":"18","author":"Marx","year":"2021","journal-title":"Nat Methods"}],"container-title":["Radiotherapy and Oncology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0167814024000276?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0167814024000276?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,9,29]],"date-time":"2025-09-29T05:27:58Z","timestamp":1759123678000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0167814024000276"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,3]]},"references-count":76,"alternative-id":["S0167814024000276"],"URL":"https:\/\/doi.org\/10.1016\/j.radonc.2024.110106","relation":{},"ISSN":["0167-8140"],"issn-type":[{"value":"0167-8140","type":"print"}],"subject":[],"published":{"date-parts":[[2024,3]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Characterisation of quantitative imaging biomarkers for inflammatory and fibrotic radiation-induced lung injuries using preclinical radiomics","name":"articletitle","label":"Article Title"},{"value":"Radiotherapy and Oncology","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.radonc.2024.110106","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":"110106"}}