{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T18:14:17Z","timestamp":1790878457296,"version":"4.1.0"},"reference-count":56,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T00:00:00Z","timestamp":1761782400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T00:00:00Z","timestamp":1761782400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82303672"],"award-info":[{"award-number":["82303672"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82573437"],"award-info":[{"award-number":["82573437"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Eur Radiol"],"DOI":"10.1007\/s00330-025-12094-y","type":"journal-article","created":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T18:18:56Z","timestamp":1761848336000},"page":"2603-2614","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Malignant pleural mesothelioma classification and survival prediction with CT imaging using ResNet"],"prefix":"10.1007","volume":"36","author":[{"given":"Meng","family":"Zhou","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Minghua","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qian","family":"Cao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhen","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Leonard","family":"Wee","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andre","family":"Dekker","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ji","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haitao","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiapeng","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinyu","family":"Miao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weimin","family":"Mao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Meng","family":"Yan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0404-5153","authenticated-orcid":false,"given":"Hongyang","family":"Lu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,10,30]]},"reference":[{"key":"12094_CR1","doi-asserted-by":"publisher","first-page":"691","DOI":"10.1136\/oemed-2016-104133","volume":"74","author":"A Lacourt","year":"2017","unstructured":"Lacourt A, L\u00e9v\u00eaque E, Guichard E et al (2017) Dose-time-response association between occupational asbestos exposure and pleural mesothelioma. Occup Environ Med 74:691\u2013697. https:\/\/doi.org\/10.1136\/oemed-2016-104133","journal-title":"Occup Environ Med"},{"key":"12094_CR2","doi-asserted-by":"publisher","first-page":"479","DOI":"10.1183\/09031936.00063109","volume":"35","author":"A Scherpereel","year":"2010","unstructured":"Scherpereel A, Astoul P, Baas P et al (2010) Guidelines of the European Respiratory Society and the European Society of Thoracic Surgeons for the management of malignant pleural mesothelioma. Eur Respir J 35:479\u2013495. https:\/\/doi.org\/10.1183\/09031936.00063109","journal-title":"Eur Respir J"},{"key":"12094_CR3","doi-asserted-by":"publisher","unstructured":"Le GV, Takahashi K, Park E-K et al (2011) Asbestos use and asbestos-related diseases in Asia: past, present and future. Respirol 16:767\u2013775. https:\/\/doi.org\/10.1111\/j.1440-1843.2011.01975.x","DOI":"10.1111\/j.1440-1843.2011.01975.x"},{"key":"12094_CR4","doi-asserted-by":"publisher","unstructured":"Murayama T, Takahashi K, Natori Y, Kurumatani N (2006) Estimation of future mortality from pleural malignant mesothelioma in Japan based on an age-cohort model. Am J Ind Med 49:1\u20137. https:\/\/doi.org\/10.1002\/ajim.20246","DOI":"10.1002\/ajim.20246"},{"key":"12094_CR5","doi-asserted-by":"publisher","first-page":"6881","DOI":"10.1200\/JCO.20005.14.589","volume":"23","author":"JP van Meerbeeck","year":"2005","unstructured":"van Meerbeeck JP, Gaafar R, Manegold C et al (2005) Randomized phase III study of cisplatin with or without raltitrexed in patients with malignant pleural mesothelioma: an intergroup study of the European Organisation for Research and Treatment of Cancer Lung Cancer Group and the National Cancer Institute of Canada. J Clin Oncol 23:6881\u20136889. https:\/\/doi.org\/10.1200\/JCO.20005.14.589","journal-title":"J Clin Oncol"},{"key":"12094_CR6","doi-asserted-by":"publisher","first-page":"2636","DOI":"10.1200\/JCO.2003.11.136","volume":"21","author":"NJ Vogelzang","year":"2003","unstructured":"Vogelzang NJ, Rusthoven JJ, Symanowski J et al (2003) Phase III study of pemetrexed in combination with cisplatin versus cisplatin alone in patients with malignant pleural mesothelioma. J Clin Oncol 21:2636\u20132644. https:\/\/doi.org\/10.1200\/JCO.2003.11.136","journal-title":"J Clin Oncol"},{"key":"12094_CR7","doi-asserted-by":"publisher","first-page":"212","DOI":"10.1016\/j.lungcan.2015.05.014","volume":"89","author":"RA Damhuis","year":"2015","unstructured":"Damhuis RA, Khakwani A, De Schutter H et al (2015) Treatment patterns and survival analysis in 9014 patients with malignant pleural mesothelioma from Belgium, the Netherlands and England. Lung Cancer 89:212\u2013217. https:\/\/doi.org\/10.1016\/j.lungcan.2015.05.014","journal-title":"Lung Cancer"},{"key":"12094_CR8","doi-asserted-by":"publisher","first-page":"344","DOI":"10.1016\/j.lungcan.2015.03.005","volume":"88","author":"P Beckett","year":"2015","unstructured":"Beckett P, Edwards J, Fennell D et al (2015) Demographics, management and survival of patients with malignant pleural mesothelioma in the National Lung Cancer Audit in England and Wales. Lung Cancer Amst Neth 88:344\u2013348. https:\/\/doi.org\/10.1016\/j.lungcan.2015.03.005","journal-title":"Lung Cancer Amst Neth"},{"key":"12094_CR9","unstructured":"Scott B, Mukherjee S, Lake RA et al (2000) Malignant mesothelioma. In: Hansen H (ed.) Textbook of lung cancer. Martin Dunitz, London. pp. 273\u2013293"},{"key":"12094_CR10","doi-asserted-by":"publisher","unstructured":"Baas P, Scherpereel A, Nowak AK et al (2021) First-line nivolumab plus ipilimumab in unresectable malignant pleural mesothelioma (CheckMate 743): a multicentre, randomised, open-label, phase 3 trial. Lancet 397. https:\/\/doi.org\/10.1016\/S0140-6736(20)32714-8","DOI":"10.1016\/S0140-6736(20)32714-8"},{"key":"12094_CR11","doi-asserted-by":"publisher","first-page":"98","DOI":"10.3816\/CLC.2003.n.023","volume":"5","author":"PA J\u00e4nne","year":"2003","unstructured":"J\u00e4nne PA (2003) Chemotherapy for malignant pleural mesothelioma. Clin Lung Cancer 5:98\u2013106. https:\/\/doi.org\/10.3816\/CLC.2003.n.023","journal-title":"Clin Lung Cancer"},{"key":"12094_CR12","doi-asserted-by":"publisher","first-page":"1734","DOI":"10.1016\/j.annonc.2020.09.009","volume":"31","author":"S Popat","year":"2020","unstructured":"Popat S, Curioni-Fontecedro A, Dafni U et al (2020) A multicentre randomised phase III trial comparing pembrolizumab versus single-agent chemotherapy for advanced pre-treated malignant pleural mesothelioma: the European Thoracic Oncology Platform (ETOP 9-15) PROMISE-meso trial. Ann Oncol 31:1734\u20131745. https:\/\/doi.org\/10.1016\/j.annonc.2020.09.009","journal-title":"Ann Oncol"},{"key":"12094_CR13","doi-asserted-by":"publisher","first-page":"142","DOI":"10.1016\/j.jtho.2015.11.005","volume":"11","author":"F Galateau-Salle","year":"2016","unstructured":"Galateau-Salle F, Churg A, Roggli V et al (2016) The 2015 World Health Organization Classification of Tumors of the Pleura: Advances since the 2004 Classification. J Thorac Oncol 11:142\u2013154. https:\/\/doi.org\/10.1016\/j.jtho.2015.11.005","journal-title":"J Thorac Oncol"},{"key":"12094_CR14","unstructured":"Physicians RC of (2020) National mesothelioma audit report 2020 (for the audit period 2016\u201318). RCP London"},{"key":"12094_CR15","unstructured":"Segal A, Whitaker D, Henderson D, Shilkin K (2002) Pathology of mesothelioma. In: Mesothelioma. CRC Press"},{"key":"12094_CR16","doi-asserted-by":"publisher","first-page":"108","DOI":"10.1016\/j.lungcan.2018.11.033","volume":"130","author":"SG Armato","year":"2019","unstructured":"Armato SG, Francis RJ, Katz SI et al (2019) Imaging in pleural mesothelioma: a review of the 14th International Conference of the International Mesothelioma Interest Group. Lung Cancer 130:108\u2013114. https:\/\/doi.org\/10.1016\/j.lungcan.2018.11.033","journal-title":"Lung Cancer"},{"key":"12094_CR17","doi-asserted-by":"publisher","first-page":"423","DOI":"10.1016\/j.crad.2019.12.001","volume":"75","author":"S Sinha","year":"2020","unstructured":"Sinha S, Swift AJ, Kamil MA et al (2020) The role of imaging in malignant pleural mesothelioma: an update after the 2018 BTS guidelines. Clin Radiol 75:423\u2013432. https:\/\/doi.org\/10.1016\/j.crad.2019.12.001","journal-title":"Clin Radiol"},{"key":"12094_CR18","doi-asserted-by":"publisher","first-page":"604","DOI":"10.1378\/chest.118.3.604","volume":"118","author":"J Hierholzer","year":"2000","unstructured":"Hierholzer J, Luo L, Bittner RC et al (2000) MRI and CT in the differential diagnosis of pleural disease. Chest 118:604\u2013609. https:\/\/doi.org\/10.1378\/chest.118.3.604","journal-title":"Chest"},{"key":"12094_CR19","doi-asserted-by":"publisher","first-page":"132","DOI":"10.1038\/s41571-021-00560-7","volume":"19","author":"K Bera","year":"2022","unstructured":"Bera K, Braman N, Gupta A et al (2022) Predicting cancer outcomes with radiomics and artificial intelligence in radiology. Nat Rev Clin Oncol 19:132\u2013146. https:\/\/doi.org\/10.1038\/s41571-021-00560-7","journal-title":"Nat Rev Clin Oncol"},{"key":"12094_CR20","doi-asserted-by":"publisher","first-page":"6288","DOI":"10.1158\/1078-0432.CCR-17-3420","volume":"24","author":"PO Zinn","year":"2018","unstructured":"Zinn PO, Singh SK, Kotrotsou A et al (2018) A coclinical radiogenomic validation study: conserved magnetic resonance radiomic appearance of periostin-expressing glioblastoma in patients and xenograft models. Clin Cancer Res 24:6288\u20136299. https:\/\/doi.org\/10.1158\/1078-0432.CCR-17-3420","journal-title":"Clin Cancer Res"},{"key":"12094_CR21","doi-asserted-by":"publisher","first-page":"427","DOI":"10.1038\/s41568-024-00694-7","volume":"24","author":"R Perez-Lopez","year":"2024","unstructured":"Perez-Lopez R, Ghaffari Laleh N, Mahmood F, Kather JN (2024) A guide to artificial intelligence for cancer researchers. Nat Rev Cancer 24:427\u2013441. https:\/\/doi.org\/10.1038\/s41568-024-00694-7","journal-title":"Nat Rev Cancer"},{"key":"12094_CR22","doi-asserted-by":"publisher","unstructured":"Kaur G, Sharma N, Chauhan R et al (2023) Eye Disease classification using ResNet-18 deep learning architecture. In: 2023 2nd International Conference on Futuristic Technologies (INCOFT). IEEE. https:\/\/doi.org\/10.1109\/INCOFT60753.2023.10425690","DOI":"10.1109\/INCOFT60753.2023.10425690"},{"key":"12094_CR23","doi-asserted-by":"crossref","unstructured":"Chen X, Chen Y, Ma C et al (2018) Classification of Pancreatic Tumors based on MRI Images using 3D Convolutional Neural Networks. In: Proceedings of the 2nd International Symposium on Image Computing and Digital Medicine. Association for Computing Machinery, New York, NY, USA, pp 92\u201396","DOI":"10.1145\/3285996.3286017"},{"key":"12094_CR24","doi-asserted-by":"publisher","unstructured":"Ebrahimi A, Luo S, Chiong R (2020) Introducing transfer learning to 3D ResNet-18 for Alzheimer\u2019s disease detection on MRI images. In: 2020 35th International Conference on Image and Vision Computing New Zealand (IVCNZ). IEEE. https:\/\/doi.org\/10.1109\/IVCNZ51579.2020.9290616","DOI":"10.1109\/IVCNZ51579.2020.9290616"},{"key":"12094_CR25","doi-asserted-by":"publisher","first-page":"234","DOI":"10.21037\/atm.2017.03.74","volume":"5","author":"CW Noonan","year":"2017","unstructured":"Noonan CW (2017) Environmental asbestos exposure and risk of mesothelioma. Ann Transl Med 5:234. https:\/\/doi.org\/10.21037\/atm.2017.03.74","journal-title":"Ann Transl Med"},{"key":"12094_CR26","doi-asserted-by":"publisher","first-page":"397","DOI":"10.1016\/S0140-6736(05)67025-0","volume":"366","author":"BWS Robinson","year":"2005","unstructured":"Robinson BWS, Musk AW, Lake RA (2005) Malignant mesothelioma. Lancet Lond Engl 366:397\u2013408. https:\/\/doi.org\/10.1016\/S0140-6736(05)67025-0","journal-title":"Lancet Lond Engl"},{"key":"12094_CR27","doi-asserted-by":"publisher","unstructured":"Broeckx G, Pauwels P (2018) Malignant peritoneal mesothelioma: a review. Transl Lung Cancer Res 7. https:\/\/doi.org\/10.21037\/tlcr.2018.10.04","DOI":"10.21037\/tlcr.2018.10.04"},{"key":"12094_CR28","doi-asserted-by":"publisher","first-page":"1207","DOI":"10.1056\/NEJMra1912719","volume":"385","author":"SM Janes","year":"2021","unstructured":"Janes SM, Alrifai D, Fennell DA (2021) Perspectives on the treatment of malignant pleural mesothelioma. N Engl J Med 385:1207\u20131218. https:\/\/doi.org\/10.1056\/NEJMra1912719","journal-title":"N Engl J Med"},{"key":"12094_CR29","doi-asserted-by":"publisher","unstructured":"Castelletti L, Yeo D, Van Zandwijk N, Rasko JEJ (2021) Anti-Mesothelin CAR T cell therapy for malignant mesothelioma. Biomark Res 9. https:\/\/doi.org\/10.1186\/s40364-021-00264-1","DOI":"10.1186\/s40364-021-00264-1"},{"key":"12094_CR30","doi-asserted-by":"publisher","first-page":"1323","DOI":"10.1016\/j.mri.2012.05.001","volume":"30","author":"A Fedorov","year":"2012","unstructured":"Fedorov A, Beichel R, Kalpathy-Cramer J et al (2012) 3D Slicer as an image computing platform for the Quantitative Imaging Network. Magn Reson Imaging 30:1323\u20131341. https:\/\/doi.org\/10.1016\/j.mri.2012.05.001","journal-title":"Magn Reson Imaging"},{"key":"12094_CR31","doi-asserted-by":"crossref","unstructured":"Hara K, Kataoka H, Satoh Y (2018) Towards Good Practice for Action Recognition with Spatiotemporal 3D Convolutions. In: 2018 24th International Conference on Pattern Recognition (ICPR). IEEE, Beijing, pp. 2516\u20132521","DOI":"10.1109\/ICPR.2018.8546325"},{"key":"12094_CR32","doi-asserted-by":"publisher","unstructured":"Kataoka H, Wakamiya T, Hara K, Satoh Y (2020) Would mega-scale datasets further enhance spatiotemporal 3D CNNs? https:\/\/doi.org\/10.48550\/arXiv.2004.04968","DOI":"10.48550\/arXiv.2004.04968"},{"key":"12094_CR33","doi-asserted-by":"publisher","unstructured":"Hara K, Kataoka H, Satoh Y (2017) Learning spatio-temporal features with 3D residual networks for action recognition. In: 2017 IEEE International Conference on Computer Vision Workshops (ICCVW). IEEE. https:\/\/doi.org\/10.1109\/ICCVW.2017.373","DOI":"10.1109\/ICCVW.2017.373"},{"key":"12094_CR34","doi-asserted-by":"crossref","unstructured":"Hara K, Kataoka H, Satoh Y (2018) Can spatiotemporal 3D CNNs retrace the history of 2D CNNs and ImageNet? In: 2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition. IEEE, Salt Lake City, UT, USA. pp. 6546\u20136555","DOI":"10.1109\/CVPR.2018.00685"},{"key":"12094_CR35","unstructured":"Hastie TJ, Pregibon D (1992) Generalized linear models. In: Statistical Models in S. Routledge"},{"key":"12094_CR36","doi-asserted-by":"publisher","first-page":"336","DOI":"10.1007\/s11263-019-01228-7","volume":"128","author":"RR Selvaraju","year":"2020","unstructured":"Selvaraju RR, Cogswell M, Das A et al (2020) Grad-CAM: visual explanations from deep networks via gradient-based localization. Int J Comput Vis 128:336\u2013359. https:\/\/doi.org\/10.1007\/s11263-019-01228-7","journal-title":"Int J Comput Vis"},{"key":"12094_CR37","doi-asserted-by":"publisher","first-page":"402","DOI":"10.3322\/caac.21572","volume":"69","author":"M Carbone","year":"2019","unstructured":"Carbone M, Adusumilli PS, Alexander HR et al (2019) Mesothelioma: scientific clues for prevention, diagnosis, and therapy. CA Cancer J Clin 69:402\u2013429. https:\/\/doi.org\/10.3322\/caac.21572","journal-title":"CA Cancer J Clin"},{"key":"12094_CR38","doi-asserted-by":"publisher","first-page":"493","DOI":"10.1007\/BF01606540","volume":"423","author":"H Moch","year":"1993","unstructured":"Moch H, Oberholzer M, Christen H et al (1993) Diagnostic tools for differentiating pleural mesothelioma from lung adenocarcinoma in paraffin embedded tissue. Virchows Arch A 423:493\u2013496. https:\/\/doi.org\/10.1007\/BF01606540","journal-title":"Virchows Arch A"},{"key":"12094_CR39","doi-asserted-by":"publisher","first-page":"253","DOI":"10.1309\/XL6K-8E62-9FLD-V8Q8","volume":"116","author":"F Roberts","year":"2001","unstructured":"Roberts F, Harper CM, Downie I, Burnett RA (2001) Immunohistochemical analysis still has a limited role in the diagnosis of malignant mesothelioma. A study of thirteen antibodies. Am J Clin Pathol 116:253\u2013262. https:\/\/doi.org\/10.1309\/XL6K-8E62-9FLD-V8Q8","journal-title":"Am J Clin Pathol"},{"key":"12094_CR40","doi-asserted-by":"publisher","first-page":"20","DOI":"10.1002\/dc.20747","volume":"36","author":"RT Pu","year":"2008","unstructured":"Pu RT, Pang Y, Michael CW (2008) Utility of WT-1, p63, MOC31, mesothelin, and cytokeratin (K903 and CK5\/6) immunostains in differentiating adenocarcinoma, squamous cell carcinoma, and malignant mesothelioma in effusions. Diagn Cytopathol 36:20\u201325. https:\/\/doi.org\/10.1002\/dc.20747","journal-title":"Diagn Cytopathol"},{"key":"12094_CR41","doi-asserted-by":"publisher","unstructured":"Saad RS, Lindner JL, Lin X et al (2006) The diagnostic utility of D2-40 for malignant mesothelioma versus pulmonary carcinoma with pleural involvement. Diagn Cytopathol 34. https:\/\/doi.org\/10.1002\/dc.20556","DOI":"10.1002\/dc.20556"},{"key":"12094_CR42","doi-asserted-by":"publisher","first-page":"2887","DOI":"10.21037\/tcr-23-422","volume":"12","author":"W Li","year":"2023","unstructured":"Li W, Zhang M, Cai S et al (2023) A deep learning-based model (DeepMPM) to help predict survival in patients with malignant pleural mesothelioma. Transl Cancer Res 12:2887\u20132897. https:\/\/doi.org\/10.21037\/tcr-23-422","journal-title":"Transl Cancer Res"},{"key":"12094_CR43","doi-asserted-by":"publisher","first-page":"555","DOI":"10.1245\/s10434-012-2651-5","volume":"20","author":"NP Schaub","year":"2013","unstructured":"Schaub NP, Alimchandani M, Quezado M et al (2013) A novel nomogram for peritoneal mesothelioma predicts survival. Ann Surg Oncol 20:555\u2013561. https:\/\/doi.org\/10.1245\/s10434-012-2651-5","journal-title":"Ann Surg Oncol"},{"key":"12094_CR44","doi-asserted-by":"publisher","first-page":"449","DOI":"10.1016\/j.pathol.2022.11.009","volume":"55","author":"Y Aksoy","year":"2023","unstructured":"Aksoy Y, Chou A, Mahjoub M et al (2023) A novel prognostic nomogram for predicting survival in diffuse pleural mesothelioma. Pathology 55:449\u2013455. https:\/\/doi.org\/10.1016\/j.pathol.2022.11.009","journal-title":"Pathology"},{"key":"12094_CR45","doi-asserted-by":"publisher","first-page":"563","DOI":"10.1148\/radiol.2015151169","volume":"278","author":"RJ Gillies","year":"2016","unstructured":"Gillies RJ, Kinahan PE, Hricak H (2016) Radiomics: images are more than pictures, they are data. Radiology 278:563\u2013577. https:\/\/doi.org\/10.1148\/radiol.2015151169","journal-title":"Radiology"},{"key":"12094_CR46","doi-asserted-by":"publisher","unstructured":"Vashistha R, Kundu P, Kumar S et al (2025) Identification of non-invasive PET-CT features for differentiation and prognostication of lung adenocarcinoma and squamous cell carcinoma using radiomics and foundation model. Preprint at Research Square. https:\/\/doi.org\/10.21203\/rs.3.rs-5941540\/v1","DOI":"10.21203\/rs.3.rs-5941540\/v1"},{"key":"12094_CR47","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/s0720-048x(01)00426-0","volume":"41","author":"M Metintas","year":"2002","unstructured":"Metintas M, Ucgun I, Elbek O et al (2002) Computed tomography features in malignant pleural mesothelioma and other commonly seen pleural diseases. Eur J Radiol 41:1\u20139. https:\/\/doi.org\/10.1016\/s0720-048x(01)00426-0","journal-title":"Eur J Radiol"},{"key":"12094_CR48","doi-asserted-by":"publisher","first-page":"vii167","DOI":"10.1093\/annonc\/mdq284","volume":"21","author":"M Dicato","year":"2010","unstructured":"Dicato M, Plawny L, Diederich M (2010) Anemia in cancer. Ann Oncol 21:vii167\u2013vii172. https:\/\/doi.org\/10.1093\/annonc\/mdq284","journal-title":"Ann Oncol"},{"key":"12094_CR49","doi-asserted-by":"publisher","first-page":"844","DOI":"10.1158\/1535-7163.MCT-12-1103","volume":"12","author":"B Nuvoli","year":"2013","unstructured":"Nuvoli B, Galati R (2013) Cyclooxygenase-2, epidermal growth factor receptor, and aromatase signaling in inflammation and mesothelioma. Mol Cancer Ther 12:844\u2013852. https:\/\/doi.org\/10.1158\/1535-7163.MCT-12-1103","journal-title":"Mol Cancer Ther"},{"key":"12094_CR50","doi-asserted-by":"publisher","first-page":"i1","DOI":"10.1136\/thoraxjnl-2017-211321","volume":"73","author":"I Woolhouse","year":"2018","unstructured":"Woolhouse I, Bishop L, Darlison L et al (2018) British Thoracic Society guideline for the investigation and management of malignant pleural mesothelioma. Thorax 73:i1\u2013i30. https:\/\/doi.org\/10.1136\/thoraxjnl-2017-211321","journal-title":"Thorax"},{"key":"12094_CR51","doi-asserted-by":"publisher","first-page":"328","DOI":"10.3109\/00313028609059485","volume":"18","author":"D Whitaker","year":"1986","unstructured":"Whitaker D, Shilkin KB, Stuckey M, Nieuwhof WN (1986) Pleural fluid CEA levels in the diagnosis of malignant mesothelioma. Pathology 18:328\u2013329. https:\/\/doi.org\/10.3109\/00313028609059485","journal-title":"Pathology"},{"key":"12094_CR52","doi-asserted-by":"publisher","first-page":"1194","DOI":"10.1002\/1097-0142(19840301)53:5<1194::AID-CNCR2820530528>3.0.CO;2-N","volume":"53","author":"B Faravelli","year":"1984","unstructured":"Faravelli B, D\u2019Amore E, Nosenzo M et al (1984) Carcinoembryonic antigen in pleural effusions. Diagnostic value in malignant mesothelioma. Cancer 53:1194\u20131197","journal-title":"Cancer"},{"key":"12094_CR53","doi-asserted-by":"publisher","first-page":"947","DOI":"10.1097\/JTO.0b013e31828f696b","volume":"8","author":"T Muley","year":"2013","unstructured":"Muley T, Dienemann H, Herth FJ et al (2013) Combination of mesothelin and CEA significantly improves the differentiation between malignant pleural mesothelioma, benign asbestos disease, and lung cancer. J Thorac Oncol 8:947\u2013951. https:\/\/doi.org\/10.1097\/JTO.0b013e31828f696b","journal-title":"J Thorac Oncol"},{"key":"12094_CR54","doi-asserted-by":"publisher","first-page":"766","DOI":"10.1093\/carcin\/bgx063","volume":"38","author":"N Merchant","year":"2017","unstructured":"Merchant N, Nagaraju GP, Rajitha B et al (2017) Matrix metalloproteinases: their functional role in lung cancer. Carcinogenesis 38:766\u2013780. https:\/\/doi.org\/10.1093\/carcin\/bgx063","journal-title":"Carcinogenesis"},{"key":"12094_CR55","doi-asserted-by":"publisher","unstructured":"Popper HH (2016) Progression and metastasis of lung cancer. Cancer Metastasis Rev 35. https:\/\/doi.org\/10.1007\/s10555-016-9618-0","DOI":"10.1007\/s10555-016-9618-0"},{"key":"12094_CR56","doi-asserted-by":"publisher","first-page":"5","DOI":"10.5271\/sjweh.3462","volume":"41","author":"H Wolff","year":"2015","unstructured":"Wolff H, Vehmas T, Oksa P et al (2015) Asbestos, asbestosis, and cancer, the Helsinki criteria for diagnosis and attribution 2014: recommendations. Scand J Work Environ Health 41:5\u201315. https:\/\/doi.org\/10.5271\/sjweh.3462","journal-title":"Scand J Work Environ Health"}],"container-title":["European Radiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00330-025-12094-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00330-025-12094-y","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00330-025-12094-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,30]],"date-time":"2026-03-30T15:19:21Z","timestamp":1774883961000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00330-025-12094-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,30]]},"references-count":56,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2026,4]]}},"alternative-id":["12094"],"URL":"https:\/\/doi.org\/10.1007\/s00330-025-12094-y","relation":{},"ISSN":["1432-1084"],"issn-type":[{"value":"1432-1084","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,10,30]]},"assertion":[{"value":"18 May 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 September 2025","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 October 2025","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 October 2025","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"The scientific guarantor of this publication is Hongyang Lu.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Guarantor"}},{"value":"The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"One of the authors (Ji Zhu) has significant statistical expertise.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Statistics and biometry"}},{"value":"Written informed consent was waived by the Institutional Review Board.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed consent"}},{"value":"This retrospective study was conducted in accordance with the Declaration of Helsinki and received institutional review board approval from Zhejiang Cancer Hospital (IRB-2025-536). The requirement for informed consent was waived due to the retrospective nature of the study.","order":6,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"The study subjects in this manuscript have not been previously reported in any publication.","order":7,"name":"Ethics","group":{"name":"EthicsHeading","label":"Study subjects or cohorts overlap"}},{"order":8,"name":"Ethics","group":{"name":"EthicsHeading","label":"Methodology"}}]}}