Editorial for “Intertumoral Heterogeneity Based on MRI Radiomics Features Estimates Recurrence in Hepatocellular Carcinoma”

Journal of Magnetic Resonance ImagingEarly View Editorial Editorial for "Intertumoral Heterogeneity Based on MRI Radiomics Features Estimates Recurrence in Hepatocellular Carcinoma" Binrong Li MS, Binrong Li MS Jiangsu Key Laboratory of Molecular and Functional Imaging, Department of Radiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, ChinaSearch for more papers by this authorYaoyao Yu MD, Yaoyao Yu MD Jiangsu Key Laboratory of Molecular and Functional Imaging, Department of Radiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, ChinaSearch for more papers by this authorTianyi Xia MD, Corresponding Author Tianyi Xia MD [email protected] orcid.org/0000-0001-9341-7742 Jiangsu Key Laboratory of Molecular and Functional Imaging, Department of Radiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, ChinaSearch for more papers by this author Binrong Li MS, Binrong Li MS Jiangsu Key Laboratory of Molecular and Functional Imaging, Department of Radiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, ChinaSearch for more papers by this authorYaoyao Yu MD, Yaoyao Yu MD Jiangsu Key Laboratory of Molecular and Functional Imaging, Department of Radiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, ChinaSearch for more papers by this authorTianyi Xia MD, Corresponding Author Tianyi Xia MD [email protected] orcid.org/0000-0001-9341-7742 Jiangsu Key Laboratory of Molecular and Functional Imaging, Department of Radiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, ChinaSearch for more papers by this author First published: 07 May 2024 https://doi.org/10.1002/jmri.29433 Level of Evidence: 5. Technical Efficacy: Stage 5. 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 1Singal AG, Llovet JM, Yarchoan M, et al. AASLD practice guidance on prevention, diagnosis, and treatment of hepatocellular carcinoma. Hepatology 2023; 78(6): 1922-1965. 10.1097/HEP.0000000000000466 PubMedWeb of Science®Google Scholar 2Ronot M, Chernyak V, Burgoyne A, et al. Imaging to predict prognosis in hepatocellular carcinoma: Current and future perspectives. Radiology 2023; 307(3):e221429. 10.1148/radiol.221429 PubMedGoogle Scholar 3Llovet JM, Kelley RK, Villanueva A, et al. Hepatocellular carcinoma. Nat Rev Dis Primers 2021; 7(1): 6. 10.1038/s41572-020-00240-3 PubMedWeb of Science®Google Scholar 4Huang EP, O'Connor JPB, McShane LM, et al. Criteria for the translation of radiomics into clinically useful tests. Nat Rev Clin Oncol 2023; 20(2): 69-82. 10.1038/s41571-022-00707-0 PubMedWeb of Science®Google Scholar 5Xia T, Zhao B, Li B, et al. MRI-based radiomics and deep learning in biological characteristics and prognosis of hepatocellular carcinoma: Opportunities and challenges. J Magn Reson Imaging 2024; 59(3): 767-783. 10.1002/jmri.28982 PubMedGoogle Scholar 6Dong M, Li C, Zhang L, et al. Intertumoral heterogeneity based on MRI radiomics features estimates recurrence in hepatocellular carcinoma. J Magn Reson Imaging 2024. https://doi.org/10.1002/jmri.29428. 10.1002/jmri.29428 Google Scholar 7Zhang Y, Yang C, Sheng R, Dai Y, Zeng M. Predicting the recurrence of hepatocellular carcinoma (≤ 5 cm) after resection surgery with promising risk factors: Habitat fraction of tumor and its peritumoral micro-environment. Radiol Med 2023; 128(10): 1181-1191. 10.1007/s11547-023-01695-6 PubMedGoogle Scholar 8Shi Z, Huang X, Cheng Z, et al. MRI-based quantification of Intratumoral heterogeneity for predicting treatment response to neoadjuvant chemotherapy in breast cancer. Radiology 2023; 308(1):e222830. 10.1148/radiol.222830 PubMedGoogle Scholar 9Juan-Albarracín J, Fuster-Garcia E, Pérez-Girbés A, et al. Glioblastoma: Vascular habitats detected at preoperative dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging predict survival. Radiology 2018; 287(3): 944-954. 10.1148/radiol.2017170845 PubMedWeb of Science®Google Scholar 10Gillies RJ, Kinahan PE, Hricak H. Radiomics: Images are more than pictures, they are data. Radiology 2016; 278(2): 563-577. 10.1148/radiol.2015151169 PubMedWeb of Science®Google Scholar Early ViewOnline Version of Record before inclusion in an issue ReferencesRelatedInformation