摘要
Journal of Magnetic Resonance ImagingEarly View Editorial Editorial for “Development of a Radiomics Nomogram Based on Dual-Sequence MRI Combined With Clinical Characteristics for Assessing Ki-67 Expression in Breast Cancer” Ravikanth Balaji DMRD, DNB, EDiR, Corresponding Author Ravikanth Balaji DMRD, DNB, EDiR [email protected] [email protected] orcid.org/0000-0003-2529-3789 Department of Radiology and Nuclear Medicine, Sultan Qaboos Comprehensive Cancer Care and Research Centre (SQCCCRC), SQU Street, Al Khoud, MUSCAT, SULTANATE OF OMANSearch for more papers by this authorRashid Al Sukaiti DABR, Rashid Al Sukaiti DABR Department of Radiology and Nuclear Medicine, Sultan Qaboos Comprehensive Cancer Care and Research Centre (SQCCCRC), SQU Street, Al Khoud, MUSCAT, SULTANATE OF OMANSearch for more papers by this author Ravikanth Balaji DMRD, DNB, EDiR, Corresponding Author Ravikanth Balaji DMRD, DNB, EDiR [email protected] [email protected] orcid.org/0000-0003-2529-3789 Department of Radiology and Nuclear Medicine, Sultan Qaboos Comprehensive Cancer Care and Research Centre (SQCCCRC), SQU Street, Al Khoud, MUSCAT, SULTANATE OF OMANSearch for more papers by this authorRashid Al Sukaiti DABR, Rashid Al Sukaiti DABR Department of Radiology and Nuclear Medicine, Sultan Qaboos Comprehensive Cancer Care and Research Centre (SQCCCRC), SQU Street, Al Khoud, MUSCAT, SULTANATE OF OMANSearch for more papers by this author First published: 16 December 2023 https://doi.org/10.1002/jmri.29180 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 1Gilles RJ, Kinahan PE, Hricak H. Radiomics: Images are more than pictures, they are data. Radiology 2016; 278(2): 563-577. 10.1148/radiol.2015151169 PubMedGoogle Scholar 2Zhang Y, Zhu Y, Zhang K, et al. Invasive ductal breast cancer: Preoperative predict Ki-67 index based on radiomics of ADC maps. Radiol Med 2020; 125(2): 109-116. 10.1007/s11547-019-01100-1 PubMedGoogle Scholar 3Liang C, Cheng Z, Huang Y, et al. An MRI-based radiomics classifier for preoperative prediction of Ki-67 status in breast cancer. Acad Radiol 2018; 25(9): 1111-1117. 10.1016/j.acra.2018.01.006 PubMedWeb of Science®Google Scholar 4Li C, Song L. Intratumoral and peritumoral radiomics based on functional parametric maps from breast DCE-MRE for prediction of HER-2 and Ki-67. J Magn Reson Imaging 2021; 54(3): 703-714. 10.1002/jmri.27651 PubMedWeb of Science®Google Scholar 5Ma W, Ji Y, Qi L, Guo X, Jian X, Liu P. Breast cancer ki67 expression prediction by DCE-MRI radiomics features. Clin Radiol 2018; 73(10): 909.e1-909.e5. 10.1016/j.crad.2018.05.027 CASPubMedGoogle Scholar 6Lafci O, Celepli P, Seher öztekin P, et al. DCE-MRI radiomics analysis in differentiating luminal A and luminal B breast cancer molecular subtypes. Acad Radiol 2023; 30(1): 22-29. 10.1016/j.acra.2022.04.004 PubMedGoogle Scholar 7Zhang L, Shen M, Zhang D, et al. Development of a radiomics nomogram based on dual-sequence MRI combined with clinical characteristics for assessing Ki-67 expression in breast cancer. J Magn Reson 2023. https://doi.org/10.1002/jmri.29149. 10.1002/jmri.29149 Google Scholar Early ViewOnline Version of Record before inclusion in an issue ReferencesRelatedInformation