{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T07:15:27Z","timestamp":1792739727525,"version":"4.5.0"},"reference-count":30,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2022,11,25]],"date-time":"2022-11-25T00:00:00Z","timestamp":1669334400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,11,25]],"date-time":"2022-11-25T00:00:00Z","timestamp":1669334400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Eur Radiol"],"DOI":"10.1007\/s00330-022-09272-7","type":"journal-article","created":{"date-parts":[[2022,11,25]],"date-time":"2022-11-25T20:02:34Z","timestamp":1669406554000},"page":"2699-2709","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":29,"title":["Predicting muscle invasion in bladder cancer by deep learning analysis of MRI: comparison with vesical imaging\u2013reporting and data system"],"prefix":"10.1007","volume":"33","author":[{"given":"Jianpeng","family":"Li","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kangyang","family":"Cao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongxin","family":"Lin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lei","family":"Deng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shuiqing","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yun","family":"Gao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Manqiu","family":"Liang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chuxuan","family":"Lin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weijing","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chuanmiao","family":"Xie","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kunlin","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiexin","family":"Luo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhaohong","family":"Pan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peiyan","family":"Yue","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yujian","family":"Zou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1183-7506","authenticated-orcid":false,"given":"Bingsheng","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,11,25]]},"reference":[{"key":"9272_CR1","doi-asserted-by":"publisher","first-page":"394","DOI":"10.3322\/caac.21492","volume":"68","author":"F Bray","year":"2018","unstructured":"Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A (2018) Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 68:394\u2013424","journal-title":"CA Cancer J Clin"},{"key":"9272_CR2","doi-asserted-by":"publisher","first-page":"713","DOI":"10.1038\/nrc1697","volume":"5","author":"XR Wu","year":"2005","unstructured":"Wu XR (2005) Urothelial tumorigenesis: a tale of divergent pathways. Nat Rev Cancer 5:713\u2013725","journal-title":"Nat Rev Cancer"},{"key":"9272_CR3","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1016\/j.eururo.2020.03.055","volume":"79","author":"JA Witjes","year":"2021","unstructured":"Witjes JA, Bruins HM, Cathomas R et al (2021) European Association of Urology Guidelines on Muscle-invasive and Metastatic Bladder Cancer: Summary of the 2020 Guidelines. Eur Urol 79:82\u2013104","journal-title":"Eur Urol"},{"key":"9272_CR4","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1097\/00005392-199707000-00017","volume":"158","author":"MS Cookson","year":"1997","unstructured":"Cookson MS, Herr HW, Zhang ZF, Soloway S, Sogani PC, Fair WR (1997) The treated natural history of high risk superficial bladder cancer: 15-year outcome. J Urol 158:62\u201367","journal-title":"J Urol"},{"key":"9272_CR5","doi-asserted-by":"publisher","first-page":"1021","DOI":"10.1016\/j.juro.2016.06.049","volume":"196","author":"SS Chang","year":"2016","unstructured":"Chang SS, Boorjian SA, Chou R et al (2016) Diagnosis and treatment of non-muscle invasive bladder cancer: AUA\/SUO guideline. J Urol 196:1021\u20131029","journal-title":"J Urol"},{"key":"9272_CR6","doi-asserted-by":"publisher","first-page":"447","DOI":"10.1016\/j.eururo.2016.05.041","volume":"71","author":"M Babjuk","year":"2017","unstructured":"Babjuk M, Bohle A, Burger M et al (2017) EAU guidelines on non-muscle-invasive urothelial carcinoma of the bladder: update 2016. Eur Urol 71:447\u2013461","journal-title":"Eur Urol"},{"key":"9272_CR7","doi-asserted-by":"crossref","unstructured":"Josephson D, Pasin E, Stein JP (2014) Superficial bladder cancer: part 2. Management. Expert Rev Antican Ther 7:567\u2013581","DOI":"10.1586\/14737140.7.4.567"},{"key":"9272_CR8","doi-asserted-by":"publisher","first-page":"1279","DOI":"10.1586\/14737140.7.9.1279","volume":"7","author":"A Sherif","year":"2007","unstructured":"Sherif A, Jonsson MN, Wiklund NP (2007) Treatment of muscle-invasive bladder cancer. Expert Rev Anticancer Ther 7:1279\u20131283","journal-title":"Expert Rev Anticancer Ther"},{"key":"9272_CR9","doi-asserted-by":"publisher","first-page":"3759","DOI":"10.1007\/s00330-017-4758-3","volume":"27","author":"V Panebianco","year":"2017","unstructured":"Panebianco V, De Berardinis E, Barchetti G et al (2017) An evaluation of morphological and functional multi-parametric MRI sequences in classifying non-muscle and muscle invasive bladder cancer. Eur Radiol 27:3759\u20133766","journal-title":"Eur Radiol"},{"key":"9272_CR10","doi-asserted-by":"publisher","first-page":"294","DOI":"10.1016\/j.eururo.2018.04.029","volume":"74","author":"V Panebianco","year":"2018","unstructured":"Panebianco V, Narumi Y, Altun E et al (2018) Multiparametric magnetic resonance imaging for bladder cancer: development of VI-RADS (vesical imaging-reporting and data system). Eur Urol 74:294\u2013306","journal-title":"Eur Urol"},{"key":"9272_CR11","doi-asserted-by":"publisher","first-page":"5498","DOI":"10.1007\/s00330-019-06117-8","volume":"29","author":"G Barchetti","year":"2019","unstructured":"Barchetti G, Simone G, Ceravolo I et al (2019) Multiparametric MRI of the bladder: inter-observer agreement and accuracy with the Vesical imaging-reporting and data system (VI-RADS) at a single reference center. Eur Radiol 29:5498\u20135506","journal-title":"Eur Radiol"},{"key":"9272_CR12","doi-asserted-by":"publisher","first-page":"890","DOI":"10.1007\/s00330-021-08203-2","volume":"32","author":"C Feng","year":"2021","unstructured":"Feng C, Wang Y, Dan G et al (2021) Evaluation of a fractional-order calculus diffusion model and bi-parametric VI-RADS for staging and grading bladder urothelial carcinoma. Eur Radiol 32:890\u2013900","journal-title":"Eur Radiol"},{"key":"9272_CR13","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1016\/j.clinimag.2021.02.026","volume":"77","author":"A Akcay","year":"2021","unstructured":"Akcay A, Yagci AB, Celen S, Ozlulerden Y, Turk NS, UFUK F (2021) VI-RADS score and tumor contact length in MRI: a potential method for the detection of muscle invasion in bladder cancer. Clin Imaging 77:25\u201336","journal-title":"Clin Imaging"},{"key":"9272_CR14","doi-asserted-by":"publisher","unstructured":"Zheng Z, Xu F, Gu Z et al (2021) Combining multiparametric MRI radiomics signature with the vesical imaging-reporting and data system (VI-RADS) score to preoperatively differentiate muscle invasion of bladder cancer. Front Oncol. https:\/\/doi.org\/10.3389\/fonc.2021.619893","DOI":"10.3389\/fonc.2021.619893"},{"key":"9272_CR15","doi-asserted-by":"publisher","first-page":"4311","DOI":"10.1007\/s00261-021-03108-6","volume":"46","author":"Z Zheng","year":"2021","unstructured":"Zheng Z, Xu F, Gu Z et al (2021) Integrating multiparametric MRI radiomics features and the vesical imaging-reporting and data system (VI-RADS) for bladder cancer grading. Abdom Radiol 46:4311\u20134323","journal-title":"Abdom Radiol"},{"key":"9272_CR16","doi-asserted-by":"publisher","first-page":"1212","DOI":"10.1002\/jmri.27676","volume":"54","author":"X Wang","year":"2021","unstructured":"Wang X, Tu N, Sun F et al (2021) Detecting muscle invasion of bladder cancer using a proposed magnetic resonance imaging strategy. J Magn Reson Imaging 54:1212\u20131221","journal-title":"J Magn Reson Imaging"},{"key":"9272_CR17","doi-asserted-by":"publisher","first-page":"611","DOI":"10.1016\/j.urolonc.2021.07.005","volume":"40","author":"R Kufukihara","year":"2021","unstructured":"Kufukihara R, Kikuchi E, Shigeta K et al (2021) Diagnostic performance of the vesical imaging-reporting and data system for detecting muscle-invasive bladder cancer in real clinical settings: comparison with diagnostic cystoscopy. Urol Oncol 40:611\u2013618","journal-title":"Urol Oncol"},{"key":"9272_CR18","doi-asserted-by":"publisher","first-page":"668","DOI":"10.1148\/radiol.2019182506","volume":"291","author":"H Wang","year":"2019","unstructured":"Wang H, Luo C, Zhang F et al (2019) Multiparametric MRI for bladder cancer: validation of VI-RADS for the detection of detrusor muscle invasion. Radiology 291:668\u2013674","journal-title":"Radiology"},{"key":"9272_CR19","doi-asserted-by":"publisher","first-page":"6949","DOI":"10.1007\/s00330-021-07765-5","volume":"31","author":"MI Metwally","year":"2021","unstructured":"Metwally MI, Zeed NA, Hamed EM et al (2021) The validity, reliability, and reviewer acceptance of VI-RADS in assessing muscle invasion by bladder cancer: a multicenter prospective study. Eur Radiol 31:6949\u20136961","journal-title":"Eur Radiol"},{"key":"9272_CR20","doi-asserted-by":"publisher","first-page":"4816","DOI":"10.1007\/s00330-020-06796-8","volume":"30","author":"H Wang","year":"2020","unstructured":"Wang H, Xu X, Zhang X et al (2020) Elaboration of a multisequence MRI-based radiomics signature for the preoperative prediction of the muscle-invasive status of bladder cancer: a double-center study. Eur Radiol 30:4816\u20134827","journal-title":"Eur Radiol"},{"key":"9272_CR21","doi-asserted-by":"publisher","first-page":"3260","DOI":"10.1007\/s00330-021-08426-3","volume":"32","author":"G Zhang","year":"2022","unstructured":"Zhang G, Wu Z, Zhang X et al (2022) CT-based radiomics to predict muscle invasion in bladder cancer. Eur Radiol 32:3260\u20133268","journal-title":"Eur Radiol"},{"key":"9272_CR22","first-page":"654","volume":"11","author":"G Zhang","year":"2021","unstructured":"Zhang G, Wu Z, Xu L et al (2021) Deep learning on enhanced CT images can predict the muscular invasiveness of bladder cancer. Front Oncol 11:654\u2013685","journal-title":"Front Oncol"},{"key":"9272_CR23","doi-asserted-by":"publisher","first-page":"1116","DOI":"10.1016\/j.neuroimage.2006.01.015","volume":"31","author":"PA Yushkevich","year":"2006","unstructured":"Yushkevich PA, Piven J, Hazlett HC et al (2006) User-guided 3D active contour segmentation of anatomical structures: significantly improved efficiency and reliability. Neuroimage 31:1116\u20131128","journal-title":"Neuroimage"},{"key":"9272_CR24","doi-asserted-by":"crossref","unstructured":"He K, Zhang X, Ren S, Sun J. (2016). Deep residual learning for image recognitionIEEE Conference on Computer Vision and Pattern Recognition, 2016, pp.770-778","DOI":"10.1109\/CVPR.2016.90"},{"key":"9272_CR25","doi-asserted-by":"publisher","first-page":"318","DOI":"10.1109\/TPAMI.2018.2858826","volume":"42","author":"TY Lin","year":"2020","unstructured":"Lin TY, Goyal P, Girshick R, He K, Dollar P (2020) Focal loss for dense object detection. IEEE Trans Pattern Anal Mach Intell 42:318\u2013327","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"9272_CR26","unstructured":"Kingma DP, Ba J (2014) Adam: a method for stochastic optimization. arXiv preprint arXiv:1412.6980. 10.48550\/arXiv.1412.6980"},{"key":"9272_CR27","unstructured":"Loshchilov I, Hutter F (2016) Sgdr: Stochastic gradient descent with warm restarts. arXiv preprint arXiv:1608.03983. 10.48550\/arXiv.1608.03983"},{"key":"9272_CR28","doi-asserted-by":"crossref","unstructured":"Selvaraju RR, Cogswell M, Das A, Vedantam R, Parikh D, Batra D (2017) (Grad-cam: Visual explanations from deep networks via gradient-based localization. Proceedings of the IEEE international conference on computer vision,, pp 618-626","DOI":"10.1109\/ICCV.2017.74"},{"key":"9272_CR29","first-page":"2579","volume":"9","author":"L Van der Maaten","year":"2008","unstructured":"Van der Maaten L, Hinton G (2008) Visualizing data using t-SNE. J Mach Learn Res 9:2579\u20132605","journal-title":"J Mach Learn Res"},{"key":"9272_CR30","doi-asserted-by":"publisher","first-page":"1257","DOI":"10.2214\/AJR.20.23604","volume":"216","author":"Y Ueno","year":"2021","unstructured":"Ueno Y, Tamada T, Takeuchi M et al (2021) VI-RADS: multiinstitutional multireader diagnostic accuracy and interobserver agreement study. AJR Am J Roentgenol 216:1257\u20131266","journal-title":"AJR Am J Roentgenol"}],"container-title":["European Radiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00330-022-09272-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00330-022-09272-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00330-022-09272-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,3,15]],"date-time":"2023-03-15T13:10:31Z","timestamp":1678885831000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00330-022-09272-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11,25]]},"references-count":30,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2023,4]]}},"alternative-id":["9272"],"URL":"https:\/\/doi.org\/10.1007\/s00330-022-09272-7","relation":{},"ISSN":["1432-1084"],"issn-type":[{"value":"1432-1084","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,11,25]]},"assertion":[{"value":"22 April 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 September 2022","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 October 2022","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 November 2022","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The scientific guarantor of this publication is Prof. Bingsheng Huang.","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 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":"Institutional Review Board approval was obtained.","order":6,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"\u2022 retrospective\u2022 diagnostic or prognostic study\u2022 multi-centre study","order":7,"name":"Ethics","group":{"name":"EthicsHeading","label":"Methodology"}}]}}