摘要
Journal of Magnetic Resonance ImagingEarly View Editorial Editorial for "Deep Learning Nomogram for the Identification of Deep Stromal Invasion in Patients With Early-Stage Cervical Adenocarcinoma and Adenosquamous Carcinoma: A Multicenter Study" Nikolaos-Achilleas Arkoudis MD, Nikolaos-Achilleas Arkoudis MD orcid.org/0000-0002-0783-5700 Research Unit in Radiology and Medical Imaging, 2nd Department of Radiology, Medical School, National and Kapodistrian University of Athens, Athens, GreeceSearch for more papers by this authorNikolaos L. Kelekis MD, Nikolaos L. Kelekis MD [email protected] orcid.org/0000-0002-8958-4668 Research Unit in Radiology and Medical Imaging, 2nd Department of Radiology, Medical School, National and Kapodistrian University of Athens, Athens, GreeceSearch for more papers by this author Nikolaos-Achilleas Arkoudis MD, Nikolaos-Achilleas Arkoudis MD orcid.org/0000-0002-0783-5700 Research Unit in Radiology and Medical Imaging, 2nd Department of Radiology, Medical School, National and Kapodistrian University of Athens, Athens, GreeceSearch for more papers by this authorNikolaos L. Kelekis MD, Nikolaos L. Kelekis MD [email protected] orcid.org/0000-0002-8958-4668 Research Unit in Radiology and Medical Imaging, 2nd Department of Radiology, Medical School, National and Kapodistrian University of Athens, Athens, GreeceSearch for more papers by this author First published: 06 July 2023 https://doi.org/10.1002/jmri.28881 Evidence Level: 5 Technical Efficacy: Stage 2 Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat No abstract is available for this article. References 1Esteva A, Robicquet A, Ramsundar B, et al. A guide to deep learning in healthcare. Nat Med 2019; 25(1): 24-29. https://doi.org/10.1038/s41591-018-0316-z. 2Qiang JW, Xiao M, Fu L, et al. Deep learning nomogram for the identification of deep stromal invasion in patients with early-stage cervical adenocarcinoma and adenosquamous carcinoma: A multicenter study. J Magn Reson Imaging 2023; Epub ahead of print. 3Sung H, Ferlay J, Siegel RL, et al. Global Cancer Statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 2021; 71(3): 209-249. https://doi.org/10.3322/caac.21660. 4Cibula D, Pötter R, Planchamp F, et al. The European Society of Gynaecological Oncology/European Society for Radiotherapy and Oncology/European Society of Pathology Guidelines for the Management of Patients with Cervical Cancer. Int J Gynecol Cancer 2018; 28(4): 641-655. https://doi.org/10.1097/IGC.0000000000001216. 5Machida H, Iwata T, Okugawa K, et al. Fertility-sparing trachelectomy for early-stage cervical cancer: A proposal of an ideal candidate. Gynecol Oncol 2020; 156(2): 341-348. https://doi.org/10.1016/j.ygyno.2019.11.021. 6Ren J, Li Y, Yang J-J, et al. MRI-based radiomics analysis improves preoperative diagnostic performance for the depth of stromal invasion in patients with early stage cervical cancer. Insights Imaging 2022; 13(1): 17. https://doi.org/10.1186/s13244-022-01156-0. 7 Yokoi E, Mabuchi S, Takahashi R, et al. Impact of histological subtype on survival in patients with locally advanced cervical cancer that were treated with definitive radiotherapy: Adenocarcinoma/adenosquamous carcinoma versus squamous cell carcinoma. J Gynecol Oncol 2017; 28(2):e19. https://doi.org/10.3802/jgo.2017.28.e19. Early ViewOnline Version of Record before inclusion in an issue ReferencesRelatedInformation