{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,23]],"date-time":"2026-06-23T02:09:05Z","timestamp":1782180545927,"version":"3.54.5"},"reference-count":36,"publisher":"Elsevier BV","issue":"12","license":[{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2024,5,23]],"date-time":"2024-05-23T00:00:00Z","timestamp":1716422400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":["clinicalkey.fr","clinicalkey.jp","clinicalkey.es","clinicalkey.com.au","academicradiology.org","clinicalkey.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Academic Radiology"],"published-print":{"date-parts":[[2024,12]]},"DOI":"10.1016\/j.acra.2024.05.010","type":"journal-article","created":{"date-parts":[[2024,6,6]],"date-time":"2024-06-06T03:11:31Z","timestamp":1717643491000},"page":"5237-5247","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":12,"title":["Predicting Lymphovascular Invasion in Non-small Cell Lung Cancer Using Deep Convolutional Neural Networks on Preoperative Chest CT"],"prefix":"10.1016","volume":"31","author":[{"given":"Jian","family":"Wang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yang","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zongyu","family":"Xie","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guoqun","family":"Mao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chen","family":"Gao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhongfeng","family":"Niu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongli","family":"Ji","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Linyang","family":"He","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiandi","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hengfeng","family":"Shi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maosheng","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"6","key":"10.1016\/j.acra.2024.05.010_bib1","doi-asserted-by":"crossref","first-page":"394","DOI":"10.3322\/caac.21492","article-title":"Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries","volume":"68","author":"Bray","year":"2018","journal-title":"CA cancer J Clin"},{"issue":"1","key":"10.1016\/j.acra.2024.05.010_bib2","doi-asserted-by":"crossref","first-page":"12","DOI":"10.3322\/caac.21820","article-title":"Cancer statistics, 2024","volume":"74","author":"Siegel","year":"2024","journal-title":"CA Cancer J Clin"},{"issue":"24","key":"10.1016\/j.acra.2024.05.010_bib3","article-title":"PDGFR\u03b1+ITGA11+ fibroblasts foster early-stage cancer lymphovascular invasion and lymphatic metastasis via ITGA11-SELE interplay","volume":"S1535-6108","author":"Zheng","year":"2024","journal-title":"Cancer Cell"},{"issue":"3","key":"10.1016\/j.acra.2024.05.010_bib4","doi-asserted-by":"crossref","first-page":"156","DOI":"10.1159\/000488859","article-title":"Lymphovascular invasion increases the risk of nodal and distant recurrence in node-negative stage I-IIA non-small-cell lung cancer","volume":"95","author":"Sung","year":"2018","journal-title":"Oncology"},{"issue":"3","key":"10.1016\/j.acra.2024.05.010_bib5","doi-asserted-by":"crossref","first-page":"965","DOI":"10.1016\/j.athoracsur.2013.11.002","article-title":"Lymphovascular invasion as a prognostic indicator in stage I non-small cell lung cancer: a systematic review and meta-analysis","volume":"97","author":"Mollberg","year":"2014","journal-title":"Ann Thorac Surg"},{"issue":"5","key":"10.1016\/j.acra.2024.05.010_bib6","doi-asserted-by":"crossref","first-page":"395","DOI":"10.1056\/NEJMoa1102873","article-title":"National Lung Screening Trial Research Team. Reduced lung-cancer mortality with low-dose computed tomographic screening","volume":"365","author":"Aberle","year":"2011","journal-title":"N Engl J Med"},{"issue":"12","key":"10.1016\/j.acra.2024.05.010_bib7","doi-asserted-by":"crossref","first-page":"3088","DOI":"10.3390\/cancers13123088","article-title":"The challenge of choosing the best classification method in radiomic analyses: recommendations and applications to lung cancer CT images","volume":"13","author":"Corso","year":"2021","journal-title":"Cancers (Basel)"},{"issue":"6","key":"10.1016\/j.acra.2024.05.010_bib8","first-page":"1115","article-title":"The value of CT radiomics features to predict visceral pleural invasion in \u22643\u200acm peripheral type early non-small cell lung cancer","volume":"30","author":"Wei","year":"2022","journal-title":"J Xray Sci Technol"},{"issue":"5","key":"10.1016\/j.acra.2024.05.010_bib9","doi-asserted-by":"crossref","first-page":"171","DOI":"10.21037\/atm.2020.01.135","article-title":"Multiclassifier fusion based on radiomics features for the prediction of benign and malignant primary pulmonary solid nodules","volume":"8","author":"Shen","year":"2020","journal-title":"Ann Transl Med"},{"issue":"2","key":"10.1016\/j.acra.2024.05.010_bib10","doi-asserted-by":"crossref","first-page":"432","DOI":"10.1148\/radiol.2020191740","article-title":"Differentiation of benign from malignant pulmonary nodules by using a convolutional neural network to determine volume change at chest CT","volume":"296","author":"Ohno","year":"2020","journal-title":"Radiology"},{"key":"10.1016\/j.acra.2024.05.010_bib11","doi-asserted-by":"crossref","DOI":"10.1016\/j.cmpb.2022.107053","article-title":"Classification of lungs infected COVID-19 images based on inception-ResNet","volume":"225","author":"Chen","year":"2022","journal-title":"Comput Methods Programs Biomed"},{"issue":"2","key":"10.1016\/j.acra.2024.05.010_bib12","doi-asserted-by":"crossref","first-page":"445","DOI":"10.1148\/radiol.2019191114","article-title":"18F-FDG PET\/CT uptake classification in lymphoma and lung cancer by using deep convolutional neural networks","volume":"294","author":"Sibille","year":"2020","journal-title":"Radiology"},{"issue":"4","key":"10.1016\/j.acra.2024.05.010_bib13","doi-asserted-by":"crossref","first-page":"612","DOI":"10.1200\/JCO.2008.17.2361","article-title":"Lymphovascular invasion predicts clinical outcomes in patients with node-negative upper tract urothelial carcinoma","volume":"27","author":"Kikuchi","year":"2009","journal-title":"J Clin Oncol"},{"issue":"27","key":"10.1016\/j.acra.2024.05.010_bib14","doi-asserted-by":"crossref","first-page":"6533","DOI":"10.1200\/JCO.2005.05.516","article-title":"Lymphovascular invasion is independently associated with overall survival, cause-specific survival, and local and distant recurrence in patients with negative lymph nodes at radical cystectomy","volume":"23","author":"Lotan","year":"2005","journal-title":"J Clin Oncol"},{"key":"10.1016\/j.acra.2024.05.010_bib15","article-title":"RBMS1 coordinates with the m6 A reader YTHDF1 to promote NSCLC metastasis through stimulating S100P translation","volume":"11","author":"Sun","year":"2024","journal-title":"Adv Sci (Weinh)"},{"issue":"22","key":"10.1016\/j.acra.2024.05.010_bib16","doi-asserted-by":"crossref","first-page":"2357","DOI":"10.1200\/JCO.2013.50.1049","article-title":"Predictive value of the International Association for the Study of Lung Cancer\/American Thoracic Society\/European Respiratory Society classification of lung adenocarcinoma in tumor recurrence and patient survival","volume":"32","author":"Hung","year":"2014","journal-title":"J clin oncol"},{"issue":"4","key":"10.1016\/j.acra.2024.05.010_bib17","doi-asserted-by":"crossref","first-page":"583","DOI":"10.1016\/j.jtho.2015.12.109","article-title":"Identification and validation of lymphovascular invasion as a prognostic and staging factor in node-negative esophageal squamous cell carcinoma","volume":"11","author":"Huang","year":"2016","journal-title":"J Thorac Oncol"},{"issue":"2","key":"10.1016\/j.acra.2024.05.010_bib18","doi-asserted-by":"crossref","first-page":"785","DOI":"10.1016\/j.jtcvs.2018.02.108","article-title":"Prognostic factors including lymphovascular invasion on survival for resected non-small cell lung cancer","volume":"156","author":"Okiror","year":"2018","journal-title":"J Thorac Cardiovasc Surg"},{"issue":"7","key":"10.1016\/j.acra.2024.05.010_bib19","doi-asserted-by":"crossref","first-page":"1141","DOI":"10.1097\/JTO.0b013e3182519a42","article-title":"Lymphovascular invasion in non-small-cell lung cancer: implications for staging and adjuvant therapy","volume":"7","author":"Higgins","year":"2012","journal-title":"J Thorac Oncol"},{"issue":"1","key":"10.1016\/j.acra.2024.05.010_bib20","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1097\/JTO.0b013e3181f9abca","article-title":"Positron emission tomography\/computed tomography and lymphovascular invasion predict recurrence in stage I lung cancers","volume":"6","author":"Shiono","year":"2011","journal-title":"J Thorac Oncol"},{"key":"10.1016\/j.acra.2024.05.010_bib21","doi-asserted-by":"crossref","DOI":"10.1177\/15330338221111229","article-title":"Can lymphovascular invasion be predicted by preoperative contrast-enhanced CT in esophageal squamous cell carcinoma?","volume":"21","author":"Chen","year":"2022","journal-title":"Technol Cancer Res Treat"},{"issue":"8","key":"10.1016\/j.acra.2024.05.010_bib22","doi-asserted-by":"crossref","first-page":"3383","DOI":"10.1007\/s00330-016-4695-6","article-title":"Can lymphovascular invasion be predicted by preoperative multiphasic dynamic CT in patients with advanced gastric cancer?","volume":"27","author":"Ma","year":"2017","journal-title":"Eur Radiol"},{"issue":"2","key":"10.1016\/j.acra.2024.05.010_bib23","doi-asserted-by":"crossref","first-page":"947","DOI":"10.1007\/s00330-022-09109-3","article-title":"Intratumoral and peritumoral radiomics nomograms for the preoperative prediction of lymphovascular invasion and overall survival in non-small cell lung cancer","volume":"33","author":"Chen","year":"2023","journal-title":"Eur Radiol"},{"key":"10.1016\/j.acra.2024.05.010_bib24","article-title":"Three-dimensional convolutional neural network-based prediction of epidermal growth factor receptor expression status in patients with non-small cell lung cancer","volume":"12","author":"Huang","year":"2022","journal-title":"Front Oncol"},{"issue":"1","key":"10.1016\/j.acra.2024.05.010_bib25","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1016\/j.acra.2023.05.015","article-title":"Preoperative CT radiomics nomogram for predicting microvascular invasion in stage I non-small cell lung cancer","volume":"31","author":"Deng","year":"2024","journal-title":"Acad Radiol"},{"issue":"5","key":"10.1016\/j.acra.2024.05.010_bib26","article-title":"2D CNN versus 3D CNN for false-positive reduction in lung cancer screening","volume":"7","author":"Yu","year":"2020","journal-title":"J Med Imaging (Bellingham"},{"key":"10.1016\/j.acra.2024.05.010_bib27","doi-asserted-by":"crossref","first-page":"84","DOI":"10.1016\/j.eswa.2019.01.048","article-title":"An interpretable deep hierarchical semantic convolutional neural network for lung nodule malignancy classification","volume":"128","author":"Shen","year":"2019","journal-title":"Expert Syst Appl"},{"issue":"1","key":"10.1016\/j.acra.2024.05.010_bib28","article-title":"Multislice input for 2D and 3D residual convolutional neural network noise reduction in CT","volume":"10","author":"Zhou","year":"2023","journal-title":"J Med Imaging (Bellingham"},{"key":"10.1016\/j.acra.2024.05.010_bib29","doi-asserted-by":"crossref","DOI":"10.1016\/j.ejrad.2020.109111","article-title":"2D and 3D texture analysis to predict lymphovascular invasion in lung adenocarcinoma","volume":"129","author":"Yang","year":"2020","journal-title":"Eur J Radiol"},{"key":"10.1016\/j.acra.2024.05.010_bib30","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1016\/j.lungcan.2020.04.033","article-title":"Comparison of prognostic impact of lymphovascular invasion in stage IA non-small cell lung cancer after lobectomy versus sublobar resection: A propensity score-matched analysis","volume":"146","author":"Yun","year":"2020","journal-title":"Lung Cancer"},{"issue":"17","key":"10.1016\/j.acra.2024.05.010_bib31","doi-asserted-by":"crossref","first-page":"2413","DOI":"10.1111\/1759-7714.14530","article-title":"Lymphovascular invasion: a non-sized T descriptor for stage IA non-small cell lung cancer","volume":"13","author":"Cai","year":"2022","journal-title":"Thorac Cancer"},{"issue":"12","key":"10.1016\/j.acra.2024.05.010_bib32","doi-asserted-by":"crossref","first-page":"2133","DOI":"10.1016\/j.jtho.2019.08.002","article-title":"Distinct prognostic factors in patients with stage I non-small cell lung cancer with radiologic part-solid or solid lesions","volume":"14","author":"Fu","year":"2019","journal-title":"J Thorac Oncol"},{"issue":"5","key":"10.1016\/j.acra.2024.05.010_bib33","doi-asserted-by":"crossref","first-page":"890","DOI":"10.1016\/j.jtho.2019.01.013","article-title":"International Early Lung Cancer Action Program Investigators. Survival with parenchymal and pleural invasion of non-small cell lung cancers less than 30 mm","volume":"14","author":"Yip","year":"2019","journal-title":"J Thorac Oncol"},{"issue":"4","key":"10.1016\/j.acra.2024.05.010_bib34","doi-asserted-by":"crossref","first-page":"871","DOI":"10.2214\/AJR.21.25618","article-title":"Sublobar resection in stage IA non-small cell lung cancer: role of preoperative CT features in predicting pathologic lymphovascular invasion and postoperative recurrence","volume":"217","author":"Choe","year":"2021","journal-title":"AJR Am J Roentgenol"},{"issue":"3","key":"10.1016\/j.acra.2024.05.010_bib35","doi-asserted-by":"crossref","first-page":"264","DOI":"10.1001\/jama.2021.24287","article-title":"Evaluating the patient with a pulmonary nodule: a review","volume":"327","author":"Mazzone","year":"2022","journal-title":"JAMA"},{"issue":"7","key":"10.1016\/j.acra.2024.05.010_bib36","doi-asserted-by":"crossref","first-page":"2207","DOI":"10.1007\/s00261-023-03920-2","article-title":"Application of intravoxel incoherent motion diffusion-weighted imaging for preoperative knowledge of lymphovascular invasion in gastric cancer: a prospective study","volume":"48","author":"Li","year":"2023","journal-title":"Abdom Radiol (NY)"}],"container-title":["Academic Radiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1076633224002940?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1076633224002940?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,11,27]],"date-time":"2024-11-27T01:49:11Z","timestamp":1732672151000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1076633224002940"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12]]},"references-count":36,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2024,12]]}},"alternative-id":["S1076633224002940"],"URL":"https:\/\/doi.org\/10.1016\/j.acra.2024.05.010","relation":{},"ISSN":["1076-6332"],"issn-type":[{"value":"1076-6332","type":"print"}],"subject":[],"published":{"date-parts":[[2024,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Predicting Lymphovascular Invasion in Non-small Cell Lung Cancer Using Deep Convolutional Neural Networks on Preoperative Chest CT","name":"articletitle","label":"Article Title"},{"value":"Academic Radiology","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.acra.2024.05.010","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2024 The Association of University Radiologists. Published by Elsevier Inc.","name":"copyright","label":"Copyright"}]}}