{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,24]],"date-time":"2026-09-24T07:03:02Z","timestamp":1790233382908,"version":"4.1.0"},"reference-count":45,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","ejradiology.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["European Journal of Radiology"],"published-print":{"date-parts":[[2026,11]]},"DOI":"10.1016\/j.ejrad.2026.113153","type":"journal-article","created":{"date-parts":[[2026,8,6]],"date-time":"2026-08-06T23:36:58Z","timestamp":1786059418000},"page":"113153","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Infrapatellar fat pad MRI radiomics and delta-radiomics for predicting pain progression in knee osteoarthritis"],"prefix":"10.1016","volume":"204","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9479-730X","authenticated-orcid":false,"given":"Mengdi","family":"Zhang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qin","family":"Dang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhiqiang","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xizeng","family":"Zong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jun","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Han","family":"Cen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peihua","family":"Cao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaomeng","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weizhong","family":"Qi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shiqian","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shengfa","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jia","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yan","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tianyu","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guangfeng","family":"Ruan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7650-4828","authenticated-orcid":false,"given":"Yao","family":"Lu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Changhai","family":"Ding","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.ejrad.2026.113153_b0005","doi-asserted-by":"crossref","first-page":"1568","DOI":"10.1001\/jama.2023.19675","article-title":"Evaluation and treatment of knee pain: a review","author":"Duong","year":"2023","journal-title":"JAMA 330 (16)"},{"key":"10.1016\/j.ejrad.2026.113153_b0010","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1038\/s41413-026-00549-x","article-title":"Advances in heterogeneity and classification of osteoarthritis","volume":"14","author":"Huang","year":"2026","journal-title":"Bone Res."},{"issue":"9","key":"10.1016\/j.ejrad.2026.113153_b0015","doi-asserted-by":"crossref","first-page":"1209","DOI":"10.1080\/14656566.2024.2374464","article-title":"Pharmacotherapy for osteoarthritis-related pain: current and emerging therapies","volume":"25","author":"Zhang","year":"2024","journal-title":"Expert Opin. Pharmacother."},{"issue":"1","key":"10.1016\/j.ejrad.2026.113153_b0020","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1016\/j.berh.2014.01.007","article-title":"Biomarkers for osteoarthritis: current position and steps towards further validation","volume":"28","author":"Hunter","year":"2014","journal-title":"Best Pract. Res. Clin. Rheumatol."},{"issue":"1","key":"10.1016\/j.ejrad.2026.113153_b0025","doi-asserted-by":"crossref","first-page":"186","DOI":"10.1136\/annrheumdis-2016-209252","article-title":"Predictive validity of biochemical biomarkers in knee osteoarthritis: data from the FNIH OA Biomarkers Consortium","volume":"76","author":"Kraus","year":"2017","journal-title":"Ann. Rheum. Dis."},{"issue":"1","key":"10.1016\/j.ejrad.2026.113153_b0030","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.semarthrit.2017.02.008","article-title":"Prevalence of neuropathic pain in knee or hip osteoarthritis: a systematic review and meta-analysis","volume":"47","author":"French","year":"2017","journal-title":"Semin. Arthritis Rheum."},{"issue":"5","key":"10.1016\/j.ejrad.2026.113153_b0035","first-page":"1034","article-title":"Symptomatic and structural benefit of cathepsin K inhibition by MIV-711 in a subgroup with unilateral pain: post-hoc analysis of a randomised phase 2a clinical trial","volume":"40","author":"Bihlet","year":"2022","journal-title":"Clin. Exp. Rheumatol."},{"issue":"14","key":"10.1016\/j.ejrad.2026.113153_b0040","doi-asserted-by":"crossref","first-page":"e786","DOI":"10.5435\/JAAOS-D-24-00509","article-title":"The discordance between pain and imaging in knee osteoarthritis","volume":"33","author":"Hill","year":"2025","journal-title":"J. Am. Acad. Orthop. Surg."},{"issue":"2","key":"10.1016\/j.ejrad.2026.113153_b0045","doi-asserted-by":"crossref","first-page":"363","DOI":"10.1002\/art.34646","article-title":"Discordance between pain and radiographic severity in knee osteoarthritis: findings from quantitative sensory testing of central sensitization","volume":"65","author":"Finan","year":"2013","journal-title":"Arthritis Rheum."},{"issue":"10","key":"10.1016\/j.ejrad.2026.113153_b0050","doi-asserted-by":"crossref","first-page":"1327","DOI":"10.1016\/j.joca.2024.05.015","article-title":"Psychosocial factors in knee osteoarthritis: scoping review of evidence and future opportunities","volume":"32","author":"Tan Yijia","year":"2024","journal-title":"Osteoarthritis Cartilage"},{"issue":"1","key":"10.1016\/j.ejrad.2026.113153_b0055","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1186\/s13244-020-00887-2","article-title":"Radiomics in medical imaging-\u201chow-to\u201d guide and critical reflection,","volume":"11","author":"van Timmeren","year":"2020","journal-title":"Insights into Imaging"},{"key":"10.1016\/j.ejrad.2026.113153_b0060","article-title":"Integration of artificial intelligence in clinical laboratory medicine: Advancements and challenges","volume":"2","author":"Heying Xie","year":"2024","journal-title":"Interdiscip. Med."},{"key":"10.1016\/j.ejrad.2026.113153_b0065","doi-asserted-by":"crossref","first-page":"100","DOI":"10.1016\/j.jot.2023.10.003","article-title":"Radiomics signature of osteoarthritis: current status and perspective","volume":"2","author":"Jiang","year":"2024","journal-title":"J. Orthop. Translat."},{"issue":"1","key":"10.1016\/j.ejrad.2026.113153_b0070","doi-asserted-by":"crossref","first-page":"262","DOI":"10.1186\/s13075-021-02634-4","article-title":"A deep learning method for predicting knee osteoarthritis radiographic progression from MRI","volume":"23","author":"Schiratti","year":"2021","journal-title":"Arthritis Res. Ther."},{"key":"10.1016\/j.ejrad.2026.113153_b0075","doi-asserted-by":"crossref","first-page":"6390182","DOI":"10.1155\/2019\/6390182","article-title":"Contribution of infrapatellar fat pad and synovial membrane to knee osteoarthritis pain","volume":"2019","author":"Belluzzi","year":"2019","journal-title":"Biomed. Res. Int."},{"issue":"22","key":"10.1016\/j.ejrad.2026.113153_b0080","doi-asserted-by":"crossref","DOI":"10.1002\/advs.202300897","article-title":"Blockage of osteopontin-integrin beta3 signaling in infrapatellar fat pad attenuates osteoarthritis in mice","volume":"10","author":"Dai","year":"2023","journal-title":"Adv. Sci."},{"issue":"731","key":"10.1016\/j.ejrad.2026.113153_b0085","doi-asserted-by":"crossref","first-page":"eadf4590","DOI":"10.1126\/scitranslmed.adf4590","article-title":"Single-cell atlas of human infrapatellar fat pad and synovium implicates APOE signaling in osteoarthritis pathology","volume":"16","author":"Tang","year":"2024","journal-title":"Sci. Transl. Med."},{"issue":"10","key":"10.1016\/j.ejrad.2026.113153_b0090","doi-asserted-by":"crossref","first-page":"1345","DOI":"10.1016\/j.joca.2018.05.015","article-title":"Signal intensity alteration within infrapatellar fat pad predicts knee replacement within 5 years: data from the Osteoarthritis Initiative","volume":"26","author":"Wang","year":"2018","journal-title":"Osteoarthritis Cartilage"},{"issue":"10","key":"10.1016\/j.ejrad.2026.113153_b0095","doi-asserted-by":"crossref","first-page":"1783","DOI":"10.1136\/annrheumdis-2015-208360","article-title":"Signal intensity alteration in the infrapatellar fat pad at baseline for the prediction of knee symptoms and structure in older adults: a cohort study","volume":"75","author":"Han","year":"2016","journal-title":"Ann. Rheum. Dis."},{"issue":"1","key":"10.1016\/j.ejrad.2026.113153_b0100","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1002\/acr.23577","article-title":"Quantitative signal intensity alteration in infrapatellar fat pad predicts incident radiographic osteoarthritis: the osteoarthritis initiative","volume":"71","author":"Wang","year":"2019","journal-title":"Arthritis Care Res. (hoboken)"},{"issue":"12","key":"10.1016\/j.ejrad.2026.113153_b0105","doi-asserted-by":"crossref","first-page":"1433","DOI":"10.1016\/j.joca.2008.06.016","article-title":"The osteoarthritis initiative: report on the design rationale for the magnetic resonance imaging protocol for the knee","volume":"16","author":"Peterfy","year":"2008","journal-title":"Osteoarthritis Cartilage"},{"issue":"1","key":"10.1016\/j.ejrad.2026.113153_b0110","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1002\/art.40348","article-title":"Predictive validity of radiographic trabecular bone texture in knee osteoarthritis: the osteoarthritis research society international\/foundation for the national institutes of health osteoarthritis biomarkers consortium","volume":"70","author":"Kraus","year":"2018","journal-title":"Arthritis Rheumatol."},{"issue":"12","key":"10.1016\/j.ejrad.2026.113153_b0115","first-page":"1833","article-title":"Validation study of WOMAC: a health status instrument for measuring clinically important patient relevant outcomes to antirheumatic drug therapy in patients with osteoarthritis of the hip or knee","volume":"15","author":"Bellamy","year":"1988","journal-title":"J. Rheumatol."},{"issue":"4","key":"10.1016\/j.ejrad.2026.113153_b0120","doi-asserted-by":"crossref","first-page":"384","DOI":"10.1002\/1529-0131(200108)45:4<384::AID-ART352>3.0.CO;2-0","volume":"45","author":"Angst","year":"2001","journal-title":"Arthritis Rheum."},{"key":"10.1016\/j.ejrad.2026.113153_b0125","doi-asserted-by":"crossref","unstructured":"T. Chen, C. Guestrin, XGBoost: a scalable tree boosting system, in: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD \u201916, Association for Computing Machinery, New York, NY, USA, (2016) 785-794.","DOI":"10.1145\/2939672.2939785"},{"key":"10.1016\/j.ejrad.2026.113153_b0130","series-title":"Advances in Neural Information Processing Systems 30","first-page":"4765","article-title":"A unified approach to interpreting model predictions","author":"Lundberg","year":"2017"},{"issue":"1","key":"10.1016\/j.ejrad.2026.113153_b0135","doi-asserted-by":"crossref","first-page":"1","DOI":"10.18637\/jss.v033.i01","article-title":"Regularization paths for generalized linear models via coordinate descent","volume":"33","author":"Friedman","year":"2010","journal-title":"J. Stat. Softw."},{"issue":"6","key":"10.1016\/j.ejrad.2026.113153_b0140","doi-asserted-by":"crossref","first-page":"1296","DOI":"10.1002\/jor.24580","article-title":"Fibrotic changes in the infrapatellar fat pad induce new vessel formation and sensory nerve fiber endings that associate prolonged pain","volume":"38","author":"Onuma","year":"2020","journal-title":"J. Orthop. Res."},{"issue":"4","key":"10.1016\/j.ejrad.2026.113153_b0145","doi-asserted-by":"crossref","first-page":"389","DOI":"10.1016\/j.jbspin.2016.02.016","article-title":"Inflammation of the infrapatellar fat pad","volume":"83","author":"Eymard","year":"2016","journal-title":"Joint Bone Spine"},{"issue":"1","key":"10.1016\/j.ejrad.2026.113153_b0150","doi-asserted-by":"crossref","first-page":"291","DOI":"10.1186\/s12891-018-2221-5","article-title":"Persistent synovial inflammation plays important roles in persistent pain development in the rat knee before cartilage degradation reaches the subchondral bone","volume":"19","author":"Hoshino","year":"2018","journal-title":"BMC Musculoskelet Disord."},{"issue":"3","key":"10.1016\/j.ejrad.2026.113153_b0155","doi-asserted-by":"crossref","first-page":"380","DOI":"10.1016\/j.joca.2020.12.014","article-title":"Inhibition of fibrotic changes in infrapatellar fat pad alleviates persistent pain and articular cartilage degeneration in monoiodoacetic acid-induced rat arthritis model","volume":"29","author":"An","year":"2021","journal-title":"Osteoarthritis Cartilage"},{"issue":"3","key":"10.1016\/j.ejrad.2026.113153_b0160","doi-asserted-by":"crossref","first-page":"611","DOI":"10.1148\/radiol.212009","article-title":"MRI-based texture analysis of infrapatellar fat pad to predict knee osteoarthritis incidence","volume":"304","author":"Li","year":"2022","journal-title":"Radiology"},{"issue":"1","key":"10.1016\/j.ejrad.2026.113153_b0165","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1186\/s13075-025-03517-8","article-title":"Infrapatellar fat pad as a source of biomarkers and therapeutic target for knee osteoarthritis","volume":"27","author":"Pereira Herrera","year":"2025","journal-title":"Arthritis Res. Ther."},{"key":"10.1016\/j.ejrad.2026.113153_b0170","doi-asserted-by":"crossref","first-page":"860","DOI":"10.3389\/fbioe.2020.00860","article-title":"Infrapatellar fat pad\/synovium complex in early-stage knee osteoarthritis: potential new target and source of therapeutic mesenchymal stem\/stromal cells","volume":"8","author":"Greif","year":"2020","journal-title":"Front. Bioeng. Biotechnol."},{"key":"10.1016\/j.ejrad.2026.113153_b0175","doi-asserted-by":"crossref","DOI":"10.3389\/fimmu.2024.1326953","article-title":"Infrapatellar fat pad adipose tissue-derived macrophages display a predominant CD11c+CD206+ phenotype and express genotypes attributable to key features of OA pathogenesis","volume":"15","author":"Hengtrakool","year":"2024","journal-title":"Front. Immunol."},{"key":"10.1016\/j.ejrad.2026.113153_b0180","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1016\/j.biomaterials.2019.03.022","article-title":"miR-100-5p-abundant exosomes derived from infrapatellar fat pad MSCs protect articular cartilage and ameliorate gait abnormalities via inhibition of mTOR in osteoarthritis","volume":"206","author":"Wu","year":"2019","journal-title":"Biomaterials"},{"issue":"1","key":"10.1016\/j.ejrad.2026.113153_b0185","doi-asserted-by":"crossref","first-page":"51","DOI":"10.2165\/11595680-000000000-00000","article-title":"Evaluation and treatment of disorders of the infrapatellar fat pad","volume":"42","author":"Dragoo","year":"2012","journal-title":"Sports Med."},{"issue":"7","key":"10.1016\/j.ejrad.2026.113153_b0190","doi-asserted-by":"crossref","first-page":"933","DOI":"10.1016\/j.joca.2014.04.018","article-title":"Knee pain and inflammation in the infrapatellar fat pad estimated by conventional and dynamic contrast-enhanced magnetic resonance imaging in obese patients with osteoarthritis: a cross-sectional study","volume":"22","author":"Ballegaard","year":"2014","journal-title":"Osteoarthritis Cartilage"},{"issue":"1","key":"10.1016\/j.ejrad.2026.113153_b0195","doi-asserted-by":"crossref","first-page":"352","DOI":"10.21037\/qims-22-368","article-title":"Prediction model for knee osteoarthritis using magnetic resonance-based radiomic features from the infrapatellar fat pad: data from the osteoarthritis initiative","volume":"13","author":"Yu","year":"2023","journal-title":"Quant. Imaging Med. Surg."},{"issue":"2","key":"10.1016\/j.ejrad.2026.113153_b0200","doi-asserted-by":"crossref","DOI":"10.1016\/j.ostima.2025.100263","article-title":"Radiomic features of infrapatellar fat pad are associated with knee symptoms and radiographic post-traumatic osteoarthritis at 10+ years after anterior cruciate ligament reconstruction","volume":"5","author":"Khan","year":"2025","journal-title":"Osteoarthritis Imaging"},{"issue":"10","key":"10.1016\/j.ejrad.2026.113153_b0205","doi-asserted-by":"crossref","first-page":"1736","DOI":"10.1016\/j.joca.2016.05.003","article-title":"Baseline trabecular bone and its relation to incident radiographic knee osteoarthritis and increase in joint space narrowing score: directional fractal signature analysis in the MOST study","volume":"24","author":"Podsiadlo","year":"2016","journal-title":"Osteoarthritis Cartilage"},{"issue":"11","key":"10.1016\/j.ejrad.2026.113153_b0210","doi-asserted-by":"crossref","first-page":"4687","DOI":"10.1007\/s00330-018-5444-9","article-title":"Association of subchondral bone texture on magnetic resonance imaging with radiographic knee osteoarthritis progression: data from the Osteoarthritis Initiative Bone Ancillary Study","volume":"28","author":"MacKay","year":"2018","journal-title":"Eur. Radiol."},{"issue":"2","key":"10.1016\/j.ejrad.2026.113153_b0215","doi-asserted-by":"crossref","first-page":"328","DOI":"10.1148\/radiol.2020191145","article-title":"The image biomarker standardization initiative: standardized quantitative radiomics for high-throughput image-based phenotyping","volume":"295","author":"Zwanenburg","year":"2020","journal-title":"Radiology"},{"issue":"1","key":"10.1016\/j.ejrad.2026.113153_b0220","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1186\/s13075-024-03450-2","article-title":"XGBoost-SHAP-based interpretable diagnostic framework for knee osteoarthritis: a population-based retrospective cohort study","volume":"26","author":"Fan","year":"2024","journal-title":"Arthritis Res. Ther."},{"issue":"4","key":"10.1016\/j.ejrad.2026.113153_b0225","doi-asserted-by":"crossref","first-page":"258","DOI":"10.1159\/000449407","article-title":"Impact of Diet and\/or Exercise Intervention on Infrapatellar Fat Pad Morphology: Secondary Analysis from the Intensive Diet and Exercise for Arthritis (IDEA) Trial","volume":"203","author":"Pogacnik Murillo","year":"2017","journal-title":"Cells Tissues Organs"}],"container-title":["European Journal of Radiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0720048X26005012?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0720048X26005012?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,9,24]],"date-time":"2026-09-24T06:43:20Z","timestamp":1790232200000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0720048X26005012"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,11]]},"references-count":45,"alternative-id":["S0720048X26005012"],"URL":"https:\/\/doi.org\/10.1016\/j.ejrad.2026.113153","relation":{},"ISSN":["0720-048X"],"issn-type":[{"value":"0720-048X","type":"print"}],"subject":[],"published":{"date-parts":[[2026,11]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Infrapatellar fat pad MRI radiomics and delta-radiomics for predicting pain progression in knee osteoarthritis","name":"articletitle","label":"Article Title"},{"value":"European Journal of Radiology","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ejrad.2026.113153","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"113153"}}