{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T22:11:50Z","timestamp":1790892710499,"version":"4.1.0"},"reference-count":40,"publisher":"Springer Science and Business Media LLC","issue":"11","license":[{"start":{"date-parts":[[2024,6,27]],"date-time":"2024-06-27T00:00:00Z","timestamp":1719446400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,6,27]],"date-time":"2024-06-27T00:00:00Z","timestamp":1719446400000},"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":["Abdom Radiol"],"DOI":"10.1007\/s00261-024-04459-6","type":"journal-article","created":{"date-parts":[[2024,6,27]],"date-time":"2024-06-27T18:15:14Z","timestamp":1719512114000},"page":"3883-3892","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Impact of virtual monochromatic images of different low-energy levels in dual-energy CT on radiomics models for predicting muscle invasion in bladder cancer"],"prefix":"10.1007","volume":"49","author":[{"given":"Mengting","family":"Hu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei","family":"Wei","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jingyi","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shigeng","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoyu","family":"Tong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yong","family":"Fan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qiye","family":"Cheng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yijun","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianying","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-9112-5158","authenticated-orcid":false,"given":"Lei","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,6,27]]},"reference":[{"issue":"3","key":"4459_CR1","doi-asserted-by":"publisher","first-page":"229","DOI":"10.3322\/caac.21834","volume":"74","author":"F Bray","year":"2024","unstructured":"F. Bray, M. Laversanne, H. Sung, J. Ferlay, R.L. Siegel, I. Soerjomataram, A. Jemal (2024) Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 74(3):229-263. https:\/\/doi.org\/10.3322\/caac.21834","journal-title":"CA Cancer J Clin"},{"issue":"19","key":"4459_CR2","doi-asserted-by":"publisher","first-page":"1980","DOI":"10.1001\/jama.2020.17598","volume":"324","author":"AT Lenis","year":"2020","unstructured":"A.T. Lenis, P.M. Lec, K. Chamie, M.D. Mshs (2020) Bladder Cancer: A Review. Jama 324(19):1980-1991. https:\/\/doi.org\/10.1001\/jama.2020.17598","journal-title":"Bladder Cancer: A Review. Jama"},{"issue":"3","key":"4459_CR3","doi-asserted-by":"publisher","first-page":"296","DOI":"10.1007\/s00345-006-0061-7","volume":"24","author":"JP Stein","year":"2006","unstructured":"J.P. Stein, D.G. Skinner (2006) Radical cystectomy for invasive bladder cancer: long-term results of a standard procedure. World J Urol 24(3):296-304. https:\/\/doi.org\/10.1007\/s00345-006-0061-7","journal-title":"World J Urol"},{"key":"4459_CR4","unstructured":"H.M.B. J.A. Witjes (Chair), A. Carri\u00f3n, R. Cathomas, E.M. Comp\u00e9rat, J.A. Efstathiou, R. Fietkau, G. Gakis, A.G. van der Heijden (Vice-chair), A. Lorch, P. Mariappan, R.P. Meijer, M.I. Milowsky, Y. Neuzillet, V. Panebianco, M. Rink (Vice-chair), M. Rouanne, G.N. Thalmann Patient Advocates: J. Redlef, S. S\u00e6bj\u00f8rnsen Guidelines Associates: M. Kailavasan, A. Martini, L.S. Mertens, Guidelines Office: E-J. Smith, H. Ali, EAU Guidelines on Muscle-invasive and Metastatic Bladder Cancer, 2024. http:\/\/uroweb.org\/guidelines\/compilations-of-all-guidelines\/."},{"issue":"5","key":"4459_CR5","doi-asserted-by":"publisher","first-page":"639","DOI":"10.1016\/j.eururo.2019.08.016","volume":"76","author":"M Babjuk","year":"2019","unstructured":"M. Babjuk, M. Burger, E.M. Comp\u00e9rat, P. Gontero, A.H. Mostafid, J. Palou, B.W.G. van Rhijn, M. Roupr\u00eat, S.F. Shariat, R. Sylvester, R. Zigeuner, O. Capoun, D. Cohen, J.L.D. Escrig, V. Hern\u00e1ndez, B. Peyronnet, T. Seisen, V. Soukup (2019) European Association of Urology Guidelines on Non-muscle-invasive Bladder Cancer (TaT1 and Carcinoma In Situ) - 2019 Update. Eur Urol 76(5):639-657. https:\/\/doi.org\/10.1016\/j.eururo.2019.08.016","journal-title":"Eur Urol"},{"key":"4459_CR6","unstructured":"A.B. P. Gontero (Chair), E. Comp\u00e9rat, J.L. Dominguez Escrig, F. Liedberg, P. Mariappan, A. Masson-Lecomte, A.H. Mostafid, B.W.G. van Rhijn, T. Seisen, S.F. Shariat, E.N. Xylinas Patient Advocates: R. Wood Guidelines Associates: O. Capoun, B. Pradere, B.P. Rai, F. Soria, V. Soukup Guidelines Office: E.J. Smith, H. Ali, EAU Guidelines on Non-muscle-invasive Bladder Cancer (TaT1 and CIS), 2024. http:\/\/uroweb.org\/guidelines\/compilations-of-all-guidelines\/."},{"issue":"4","key":"4459_CR7","doi-asserted-by":"publisher","first-page":"1021","DOI":"10.1016\/j.juro.2016.06.049","volume":"196","author":"SS Chang","year":"2016","unstructured":"S.S. Chang, S.A. Boorjian, R. Chou, P.E. Clark, S. Daneshmand, B.R. Konety, R. Pruthi, D.Z. Quale, C.R. Ritch, J.D. Seigne, E.C. Skinner, N.D. Smith, J.M. McKiernan (2016) Diagnosis and Treatment of Non-Muscle Invasive Bladder Cancer: AUA\/SUO Guideline. J Urol 196(4):1021-1029. https:\/\/doi.org\/10.1016\/j.juro.2016.06.049","journal-title":"J Urol"},{"issue":"3","key":"4459_CR8","doi-asserted-by":"publisher","first-page":"244","DOI":"10.1016\/j.annonc.2021.11.012","volume":"33","author":"T Powles","year":"2022","unstructured":"T. Powles, J. Bellmunt, E. Comperat, M. De Santis, R. Huddart, Y. Loriot, A. Necchi, B.P. Valderrama, A. Ravaud, S.F. Shariat, B. Szabados, M.S. van der Heijden, S. Gillessen (2022) Bladder cancer: ESMO Clinical Practice Guideline for diagnosis, treatment and follow-up. Ann Oncol 33(3):244-258. https:\/\/doi.org\/10.1016\/j.annonc.2021.11.012","journal-title":"Ann Oncol"},{"issue":"1","key":"4459_CR9","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1016\/j.eururo.2019.03.046","volume":"76","author":"V Panebianco","year":"2019","unstructured":"V. Panebianco, Y. Narumi, G. Barchetti, R. Montironi, J.W.F. Catto (2019) Should We Perform Multiparametric Magnetic Resonance Imaging of the Bladder Before Transurethral Resection of Bladder? Time to Reconsider the Rules. Eur Urol 76(1):57-58. https:\/\/doi.org\/10.1016\/j.eururo.2019.03.046","journal-title":"Eur Urol"},{"issue":"5","key":"4459_CR10","doi-asserted-by":"publisher","first-page":"469","DOI":"10.1016\/j.eururo.2022.07.002","volume":"82","author":"GJ Netto","year":"2022","unstructured":"G.J. Netto, M.B. Amin, D.M. Berney, E.M. Comp\u00e9rat, A.J. Gill, A. Hartmann, S. Menon, M.R. Raspollini, M.A. Rubin, J.R. Srigley, P. Hoon Tan, S.K. Tickoo, T. Tsuzuki, S. Turajlic, I. Cree, H. Moch (2022) The 2022 World Health Organization Classification of Tumors of the Urinary System and Male Genital Organs-Part B: Prostate and Urinary Tract Tumors. Eur Urol 82(5):469-482. https:\/\/doi.org\/10.1016\/j.eururo.2022.07.002","journal-title":"Eur Urol"},{"issue":"12","key":"4459_CR11","doi-asserted-by":"publisher","first-page":"1636","DOI":"10.1001\/jamaoncol.2016.2631","volume":"2","author":"HJ Aerts","year":"2016","unstructured":"H.J. Aerts (2016) The Potential of Radiomic-Based Phenotyping in Precision Medicine: A Review. JAMA Oncol 2(12):1636-1642. https:\/\/doi.org\/10.1001\/jamaoncol.2016.2631","journal-title":"JAMA Oncol"},{"issue":"12","key":"4459_CR12","doi-asserted-by":"publisher","first-page":"749","DOI":"10.1038\/nrclinonc.2017.141","volume":"14","author":"P Lambin","year":"2017","unstructured":"P. Lambin, R.T.H. Leijenaar, T.M. Deist, J. Peerlings, E.E.C. de Jong, J. van Timmeren, S. Sanduleanu, R. Larue, A.J.G. Even, A. Jochems, Y. van Wijk, H. Woodruff, J. van Soest, T. Lustberg, E. Roelofs, W. van Elmpt, A. Dekker, F.M. Mottaghy, J.E. Wildberger, S. Walsh (2017) Radiomics: the bridge between medical imaging and personalized medicine. Nat Rev Clin Oncol 14(12):749-762. https:\/\/doi.org\/10.1038\/nrclinonc.2017.141","journal-title":"Nat Rev Clin Oncol"},{"issue":"6","key":"4459_CR13","doi-asserted-by":"publisher","first-page":"4071","DOI":"10.1007\/s00330-020-07564-4","volume":"31","author":"CT Arendt","year":"2021","unstructured":"C.T. Arendt, D. Leithner, M.E. Mayerhoefer, P. Gibbs, C. Czerny, C. Arnoldner, I. Burck, M. Leinung, Y. Tanyildizi, L. Lenga, S.S. Martin, T.J. Vogl, R.E. Schernthaner (2021) Radiomics of high-resolution computed tomography for the differentiation between cholesteatoma and middle ear inflammation: effects of post-reconstruction methods in a dual-center study. Eur Radiol 31(6):4071-4078. https:\/\/doi.org\/10.1007\/s00330-020-07564-4","journal-title":"Eur Radiol"},{"issue":"4","key":"4459_CR14","doi-asserted-by":"publisher","first-page":"1987","DOI":"10.1007\/s00330-020-07293-8","volume":"31","author":"K Martini","year":"2021","unstructured":"K. Martini, B. Baessler, M. Bogowicz, C. Bl\u00fcthgen, M. Mannil, S. Tanadini-Lang, J. Schniering, B. Maurer, T. Frauenfelder (2021) Applicability of radiomics in interstitial lung disease associated with systemic sclerosis: proof of concept. Eur Radiol 31(4):1987-1998. https:\/\/doi.org\/10.1007\/s00330-020-07293-8","journal-title":"Eur Radiol"},{"issue":"6","key":"4459_CR15","doi-asserted-by":"publisher","first-page":"1191","DOI":"10.1093\/annonc\/mdx034","volume":"28","author":"EJ Limkin","year":"2017","unstructured":"E.J. Limkin, R. Sun, L. Dercle, E.I. Zacharaki, C. Robert, S. Reuz\u00e9, A. Schernberg, N. Paragios, E. Deutsch, C. Fert\u00e9 (2017) Promises and challenges for the implementation of computational medical imaging (radiomics) in oncology. Ann Oncol 28(6):1191-1206. https:\/\/doi.org\/10.1093\/annonc\/mdx034","journal-title":"Ann Oncol"},{"key":"4459_CR16","doi-asserted-by":"publisher","unstructured":"J. M\u00fchlbauer, L. Egen, K.F. Kowalewski, M. Grilli, M.T. Walach, N. Westhoff, P. Nuhn, F.C. Laqua, B. Baessler, M.C. Kriegmair (2021) Radiomics in Renal Cell Carcinoma-A Systematic Review and Meta-Analysis. Cancers (Basel) 13(6). https:\/\/doi.org\/10.3390\/cancers13061348","DOI":"10.3390\/cancers13061348"},{"issue":"10","key":"4459_CR17","doi-asserted-by":"publisher","first-page":"2487","DOI":"10.1016\/j.ejrad.2011.10.028","volume":"81","author":"XZ Lin","year":"2012","unstructured":"X.Z. Lin, Z.Y. Wu, R. Tao, Y. Guo, J.Y. Li, J. Zhang, K.M. Chen (2012) Dual energy spectral CT imaging of insulinoma-Value in preoperative diagnosis compared with conventional multi-detector CT. Eur J Radiol 81(10):2487-2494. https:\/\/doi.org\/10.1016\/j.ejrad.2011.10.028","journal-title":"Eur J Radiol"},{"issue":"2","key":"4459_CR18","doi-asserted-by":"publisher","first-page":"497","DOI":"10.1007\/s00261-017-1390-2","volume":"43","author":"A Parakh","year":"2018","unstructured":"A. Parakh, M. Patino, D. Muenzel, A. Kambadakone, D.V. Sahani (2018) Role of rapid kV-switching dual-energy CT in assessment of post-surgical local recurrence of pancreatic adenocarcinoma. Abdom Radiol (NY) 43(2):497-504. https:\/\/doi.org\/10.1007\/s00261-017-1390-2","journal-title":"Abdom Radiol (NY)"},{"issue":"2","key":"4459_CR19","doi-asserted-by":"publisher","first-page":"407","DOI":"10.1148\/radiol.2018172361","volume":"288","author":"R Berenguer","year":"2018","unstructured":"R. Berenguer, M.D.R. Pastor-Juan, J. Canales-V\u00e1zquez, M. Castro-Garc\u00eda, M.V. Villas, F. Mansilla Legorburo, S. Sabater (2018) Radiomics of CT Features May Be Nonreproducible and Redundant: Influence of CT Acquisition Parameters. Radiology 288(2):407-415. https:\/\/doi.org\/10.1148\/radiol.2018172361","journal-title":"Radiology"},{"issue":"3","key":"4459_CR20","doi-asserted-by":"publisher","first-page":"583","DOI":"10.1148\/radiol.2019190928","volume":"293","author":"M Meyer","year":"2019","unstructured":"M. Meyer, J. Ronald, F. Vernuccio, R.C. Nelson, J.C. Ramirez-Giraldo, J. Solomon, B.N. Patel, E. Samei, D. Marin (2019) Reproducibility of CT Radiomic Features within the Same Patient: Influence of Radiation Dose and CT Reconstruction Settings. Radiology 293(3):583-591. https:\/\/doi.org\/10.1148\/radiol.2019190928","journal-title":"Radiology"},{"issue":"3","key":"4459_CR21","doi-asserted-by":"publisher","first-page":"601","DOI":"10.2214\/ajr.13.11337","volume":"203","author":"WP Shuman","year":"2014","unstructured":"W.P. Shuman, D.E. Green, J.M. Busey, L.M. Mitsumori, E. Choi, K.M. Koprowicz, K.M. Kanal (2014) Dual-energy liver CT: effect of monochromatic imaging on lesion detection, conspicuity, and contrast-to-noise ratio of hypervascular lesions on late arterial phase. AJR Am J Roentgenol 203(3):601-606. https:\/\/doi.org\/10.2214\/ajr.13.11337","journal-title":"AJR Am J Roentgenol"},{"key":"4459_CR22","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1016\/j.ejrad.2019.05.003","volume":"116","author":"D Zopfs","year":"2019","unstructured":"D. Zopfs, K.R. Laukamp, D. Pinto Dos Santos, M. Sokolowski, N. Gro\u00dfe Hokamp, D. Maintz, J. Borggrefe, T. Persigehl, S. Lennartz (2019) Low-keV virtual monoenergetic imaging reconstructions of excretory phase spectral dual-energy CT in patients with urothelial carcinoma: A feasibility study. Eur J Radiol 116:135-143. https:\/\/doi.org\/10.1016\/j.ejrad.2019.05.003","journal-title":"Eur J Radiol"},{"issue":"3","key":"4459_CR23","doi-asserted-by":"publisher","first-page":"552","DOI":"10.1016\/j.juro.2017.04.086","volume":"198","author":"SS Chang","year":"2017","unstructured":"S.S. Chang, B.H. Bochner, R. Chou, R. Dreicer, A.M. Kamat, S.P. Lerner, Y. Lotan, J.J. Meeks, J.M. Michalski, T.M. Morgan, D.Z. Quale, J.E. Rosenberg, A.L. Zietman, J.M. Holzbeierlein (2017) Treatment of Non-Metastatic Muscle-Invasive Bladder Cancer: AUA\/ASCO\/ASTRO\/SUO Guideline. J Urol 198(3):552-559. https:\/\/doi.org\/10.1016\/j.juro.2017.04.086","journal-title":"J Urol"},{"issue":"6","key":"4459_CR24","doi-asserted-by":"publisher","first-page":"e473","DOI":"10.1016\/j.crad.2022.02.019","volume":"77","author":"Y Cui","year":"2022","unstructured":"Y. Cui, Z. Sun, X. Liu, X. Zhang, X. Wang (2022) CT-based radiomics for the preoperative prediction of the muscle-invasive status of bladder cancer and comparison to radiologists' assessment. Clin Radiol 77(6):e473-e482. https:\/\/doi.org\/10.1016\/j.crad.2022.02.019","journal-title":"Clin Radiol"},{"issue":"11","key":"4459_CR25","doi-asserted-by":"publisher","first-page":"5814","DOI":"10.1002\/mp.12510","volume":"44","author":"SS Garapati","year":"2017","unstructured":"S.S. Garapati, L. Hadjiiski, K.H. Cha, H.P. Chan, E.M. Caoili, R.H. Cohan, A. Weizer, A. Alva, C. Paramagul, J. Wei, C. Zhou (2017) Urinary bladder cancer staging in CT urography using machine learning. Med Phys 44(11):5814-5823. https:\/\/doi.org\/10.1002\/mp.12510","journal-title":"Med Phys"},{"issue":"5","key":"4459_CR26","doi-asserted-by":"publisher","first-page":"3260","DOI":"10.1007\/s00330-021-08426-3","volume":"32","author":"G Zhang","year":"2022","unstructured":"G. Zhang, Z. Wu, X. Zhang, L. Xu, L. Mao, X. Li, Y. Xiao, Z. Ji, H. Sun, Z. Jin (2022) CT-based radiomics to predict muscle invasion in bladder cancer. Eur Radiol 32(5):3260-3268. https:\/\/doi.org\/10.1007\/s00330-021-08426-3","journal-title":"Eur Radiol"},{"issue":"1","key":"4459_CR27","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1148\/radiol.212914","volume":"305","author":"S Lennartz","year":"2022","unstructured":"S. Lennartz, N.G. Hokamp, A. Kambadakone (2022) Dual-Energy CT of the Abdomen: Radiology In Training. Radiology 305(1):19-27. https:\/\/doi.org\/10.1148\/radiol.212914","journal-title":"Radiology"},{"issue":"3","key":"4459_CR28","doi-asserted-by":"publisher","first-page":"637","DOI":"10.1148\/radiol.2015142631","volume":"276","author":"CH McCollough","year":"2015","unstructured":"C.H. McCollough, S. Leng, L. Yu, J.G. Fletcher (2015) Dual- and Multi-Energy CT: Principles, Technical Approaches, and Clinical Applications. Radiology 276(3):637-653. https:\/\/doi.org\/10.1148\/radiol.2015142631","journal-title":"Radiology"},{"issue":"2","key":"4459_CR29","doi-asserted-by":"publisher","first-page":"148","DOI":"10.1177\/03008916221088883","volume":"109","author":"E Bicci","year":"2023","unstructured":"E. Bicci, M. Mastrorosato, G. Danti, L. Lattavo, E. Bertelli, D. Cozzi, S. Pradella, S. Agostini, V. Miele (2023) Dual-Energy CT applications in urinary tract cancers: an update. Tumori 109(2):148-156. https:\/\/doi.org\/10.1177\/03008916221088883","journal-title":"Tumori"},{"issue":"10","key":"4459_CR30","doi-asserted-by":"publisher","first-page":"2693","DOI":"10.1007\/s00261-018-1527-y","volume":"43","author":"V Baliyan","year":"2018","unstructured":"V. Baliyan, H. Kordbacheh, B. Parameswaran, B. Ganeshan, D. Sahani, A. Kambadakone (2018) Virtual monoenergetic imaging in rapid kVp-switching dual-energy CT (DECT) of the abdomen: impact on CT texture analysis. Abdom Radiol (NY) 43(10):2693-2701. https:\/\/doi.org\/10.1007\/s00261-018-1527-y","journal-title":"Abdom Radiol (NY)"},{"key":"4459_CR31","doi-asserted-by":"publisher","unstructured":"A. Euler, F.C. Laqua, D. Cester, N. Lohaus, T. Sartoretti, D. Pinto Dos Santos, H. Alkadhi, B. Baessler (2021) Virtual Monoenergetic Images of Dual-Energy CT-Impact on Repeatability, Reproducibility, and Classification in Radiomics. Cancers (Basel) 13(18). https:\/\/doi.org\/10.3390\/cancers13184710","DOI":"10.3390\/cancers13184710"},{"issue":"8","key":"4459_CR32","doi-asserted-by":"publisher","first-page":"627.e623","DOI":"10.1016\/j.crad.2021.02.033","volume":"76","author":"D Han","year":"2021","unstructured":"D. Han, Y. Yu, T. He, N. Yu, S. Dang, H. Wu, J. Ren, X. Duan (2021) Effect of radiomics from different virtual monochromatic images in dual-energy spectral CT on the WHO\/ISUP classification of clear cell renal cell carcinoma. Clin Radiol 76(8):627.e623-627.e629. https:\/\/doi.org\/10.1016\/j.crad.2021.02.033","journal-title":"Clin Radiol"},{"issue":"6","key":"4459_CR33","doi-asserted-by":"publisher","first-page":"2604","DOI":"10.1007\/s00330-017-5214-0","volume":"28","author":"E Al Ajmi","year":"2018","unstructured":"E. Al Ajmi, B. Forghani, C. Reinhold, M. Bayat, R. Forghani (2018) Spectral multi-energy CT texture analysis with machine learning for tissue classification: an investigation using classification of benign parotid tumours as a testing paradigm. Eur Radiol 28(6):2604-2611. https:\/\/doi.org\/10.1007\/s00330-017-5214-0","journal-title":"Eur Radiol"},{"issue":"11","key":"4459_CR34","doi-asserted-by":"publisher","first-page":"6172","DOI":"10.1007\/s00330-019-06159-y","volume":"29","author":"R Forghani","year":"2019","unstructured":"R. Forghani, A. Chatterjee, C. Reinhold, A. P\u00e9rez-Lara, G. Romero-Sanchez, Y. Ueno, M. Bayat, J.W.M. Alexander, L. Kadi, J. Chankowsky, J. Seuntjens, B. Forghani (2019) Head and neck squamous cell carcinoma: prediction of cervical lymph node metastasis by dual-energy CT texture analysis with machine learning. Eur Radiol 29(11):6172-6181. https:\/\/doi.org\/10.1007\/s00330-019-06159-y","journal-title":"Eur Radiol"},{"issue":"4","key":"4459_CR35","doi-asserted-by":"publisher","first-page":"2324","DOI":"10.1007\/s00330-019-06621-x","volume":"30","author":"J Li","year":"2020","unstructured":"J. Li, D. Dong, M. Fang, R. Wang, J. Tian, H. Li, J. Gao (2020) Dual-energy CT-based deep learning radiomics can improve lymph node metastasis risk prediction for gastric cancer. Eur Radiol 30(4):2324-2333. https:\/\/doi.org\/10.1007\/s00330-019-06621-x","journal-title":"Eur Radiol"},{"key":"4459_CR36","doi-asserted-by":"publisher","unstructured":"C.Y. Liao, C.C. Lee, H.C. Yang, C.J. Chen, W.Y. Chung, H.M. Wu, W.Y. Guo, R.S. Liu, C.F. Lu (2021) Enhancement of Radiosurgical Treatment Outcome Prediction Using MRI Radiomics in Patients with Non-Small Cell Lung Cancer Brain Metastases. Cancers (Basel) 13(16). https:\/\/doi.org\/10.3390\/cancers13164030","DOI":"10.3390\/cancers13164030"},{"key":"4459_CR37","doi-asserted-by":"publisher","unstructured":"E. Tietz, D. Truhn, G. M\u00fcller-Franzes, M.L. Berres, K. Hamesch, S.A. Lang, C.K. Kuhl, P. Bruners, M. Schulze-Hagen (2021) A Radiomics Approach to Predict the Emergence of New Hepatocellular Carcinoma in Computed Tomography for High-Risk Patients with Liver Cirrhosis. Diagnostics (Basel) 11(9). https:\/\/doi.org\/10.3390\/diagnostics11091650","DOI":"10.3390\/diagnostics11091650"},{"issue":"8","key":"4459_CR38","doi-asserted-by":"publisher","first-page":"4595","DOI":"10.1007\/s00330-020-06768-y","volume":"30","author":"X Wang","year":"2020","unstructured":"X. Wang, Q. Wan, H. Chen, Y. Li, X. Li (2020) Classification of pulmonary lesion based on multiparametric MRI: utility of radiomics and comparison of machine learning methods. Eur Radiol 30(8):4595-4605. https:\/\/doi.org\/10.1007\/s00330-020-06768-y","journal-title":"Eur Radiol"},{"key":"4459_CR39","doi-asserted-by":"publisher","first-page":"879553","DOI":"10.3389\/fonc.2022.879553","volume":"12","author":"C Giraudo","year":"2022","unstructured":"C. Giraudo, G. Fichera, P. Del Fiore, S. Mocellin, A. Brunello, M. Rastrelli, R. Stramare (2022) Tumor cellularity beyond the visible in soft tissue sarcomas: Results of an ADC-based, single center, and preliminary radiomics study. Front Oncol 12:879553. https:\/\/doi.org\/10.3389\/fonc.2022.879553","journal-title":"Front Oncol"},{"issue":"1","key":"4459_CR40","doi-asserted-by":"publisher","first-page":"1879","DOI":"10.1038\/s41598-021-81408-z","volume":"11","author":"J Shin","year":"2021","unstructured":"J. Shin, J.S. Lim, Y.M. Huh, J.H. Kim, W.J. Hyung, J.J. Chung, K. Han, S. Kim (2021) A radiomics-based model for predicting prognosis of locally advanced gastric cancer in the preoperative setting. Sci Rep 11(1):1879. https:\/\/doi.org\/10.1038\/s41598-021-81408-z","journal-title":"Sci Rep"}],"container-title":["Abdominal Radiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00261-024-04459-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00261-024-04459-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00261-024-04459-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T13:23:48Z","timestamp":1730294628000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00261-024-04459-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,27]]},"references-count":40,"journal-issue":{"issue":"11","published-online":{"date-parts":[[2024,11]]}},"alternative-id":["4459"],"URL":"https:\/\/doi.org\/10.1007\/s00261-024-04459-6","relation":{},"ISSN":["2366-0058"],"issn-type":[{"value":"2366-0058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,6,27]]},"assertion":[{"value":"15 April 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 June 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 June 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 June 2024","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"None.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. The study was conducted by the Declaration of Helsinki (as revised in 2023). The study was approved by the Ethics Committee of the First Affiliated Hospital of Dalian Medical University (no. PJ-KS-KY-2019-110).","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}}]}}