Editorial for "Multi-Phase MRI-Based Radiomics for Predicting Histological Grade of Hepatocellular Carcinoma".

Journal of Magnetic Resonance ImagingEarly View Editorial Editorial for “Multi-Phase MRI-Based Radiomics for Predicting Histological Grade of Hepatocellular Carcinoma” Arthur P. Wunderlich, Corresponding Author Arthur P. Wunderlich [email protected] orcid.org/0000-0003-2860-3375 Department of Diagnostic and Interventional Radiology, Ulm University Medical Center, Ulm, Germany Division for Experimental Radiology, Ulm University Medical Center, Ulm, Germany Address reprint requests to: Arthur P. Wunderlich, Albert-Einstein-Allee 23, 89081 Ulm, Germany. E-mail: [email protected]Search for more papers by this authorCatharina Lisson, Catharina Lisson Department of Diagnostic and Interventional Radiology, Ulm University Medical Center, Ulm, Germany Division for Experimental Radiology, Ulm University Medical Center, Ulm, GermanySearch for more papers by this authorMichael Götz, Michael Götz Department of Diagnostic and Interventional Radiology, Ulm University Medical Center, Ulm, Germany Division for Experimental Radiology, Ulm University Medical Center, Ulm, GermanySearch for more papers by this author Arthur P. Wunderlich, Corresponding Author Arthur P. Wunderlich [email protected] orcid.org/0000-0003-2860-3375 Department of Diagnostic and Interventional Radiology, Ulm University Medical Center, Ulm, Germany Division for Experimental Radiology, Ulm University Medical Center, Ulm, Germany Address reprint requests to: Arthur P. Wunderlich, Albert-Einstein-Allee 23, 89081 Ulm, Germany. E-mail: [email protected]Search for more papers by this authorCatharina Lisson, Catharina Lisson Department of Diagnostic and Interventional Radiology, Ulm University Medical Center, Ulm, Germany Division for Experimental Radiology, Ulm University Medical Center, Ulm, GermanySearch for more papers by this authorMichael Götz, Michael Götz Department of Diagnostic and Interventional Radiology, Ulm University Medical Center, Ulm, Germany Division for Experimental Radiology, Ulm University Medical Center, Ulm, GermanySearch for more papers by this author First published: 27 February 2024 https://doi.org/10.1002/jmri.29323 Level of Evidence: 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 1Yokoo T, Masaki N, Parikh ND, et al. Multicenter validation of abbreviated MRI for detecting early-stage hepatocellular carcinoma. Radiology 2023; 307(2):e220917. 10.1148/radiol.220917 PubMedWeb of Science®Google Scholar 2Kudo M, Izumi N, Sakamoto M, et al. Survival analysis over 28 years of 173,378 patients with hepatocellular carcinoma in Japan. Liver Cancer 2016; 5(3): 190-197. 10.1159/000367775 PubMedWeb of Science®Google Scholar 3Bruix J, Sherman M. Management of hepatocellular carcinoma. Hepatology 2005; 42(5): 1208-1236. 10.1002/hep.20933 CASPubMedWeb of Science®Google Scholar 4Han Z, Dai H, Chen X, et al. Delta-radiomics models based on multi-phase contrast-enhanced magnetic resonance imaging can preoperatively predict glypican-3-positive hepatocellular carcinoma. Front Physiol 2023; 14:1138239. 10.3389/fphys.2023.1138239 PubMedWeb of Science®Google Scholar 5Alksas A, Shehata M, Saleh GA, et al. A novel computer-aided diagnostic system for accurate detection and grading of liver tumors. Sci Rep 2021; 11(1): 13148. 10.1038/s41598-021-91634-0 CASPubMedWeb of Science®Google Scholar 6Zhang Z, Jiang H, Chen J, et al. Hepatocellular carcinoma: Radiomics nomogram on gadoxetic acid-enhanced MR imaging for early postoperative recurrence prediction. Cancer Imaging 2019; 19(1): 22. 10.1186/s40644-019-0209-5 CASPubMedWeb of Science®Google Scholar 7He Y, Hu B, Zhu C, et al. A novel multimodal radiomics model for predicting prognosis of resected hepatocellular carcinoma. Front Oncol 2022; 12:745258. 10.3389/fonc.2022.745258 PubMedGoogle Scholar 8Yang Y, Zhang S, Cui C, et al. Multi-phase MRI-based radiomics for predicting histological grade of hepatocellular carcinoma. J Magn Reson Imaging 2024; xxx: xxx-xxx. Google Scholar 9Vickers AJ, van Calster B, Steyerberg EW. A simple, step-by-step guide to interpreting decision curve analysis. Diagn Progn Res 2019; 3: 18. 10.1186/s41512-019-0064-7 PubMedGoogle Scholar Early ViewOnline Version of Record before inclusion in an issue ReferencesRelatedInformation