Editorial for “Intra‐ and Peritumoral Based Radiomics for Assessment of Lymphovascular Invasion in Invasive Breast Cancer”

Journal of Magnetic Resonance ImagingEarly View Editorial Editorial for “Intra- and Peritumoral Based Radiomics for Assessment of Lymphovascular Invasion in Invasive Breast Cancer” Catherine J. Moran PhD, Corresponding Author Catherine J. Moran PhD [email protected] orcid.org/0000-0001-9748-9495 Department of Radiology, Stanford University, Stanford, California, USA[email protected]Search for more papers by this author Catherine J. Moran PhD, Corresponding Author Catherine J. Moran PhD [email protected] orcid.org/0000-0001-9748-9495 Department of Radiology, Stanford University, Stanford, California, USA[email protected]Search for more papers by this author First published: 11 May 2023 https://doi.org/10.1002/jmri.28771 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 No abstract is available for this article. References 1Burstein HJ, Curigliano G, Thurlimann B, et al. Customizing local and systemic therapies for women with early breast cancer: The St. Gallen international consensus guidelines for treatment of early breast cancer 2021. Ann Oncol 2021; 32: 1216- 1235. 2Hamy AS, Lam GT, Laas E, et al. Lymphovascular invasion after neoadjuvant chemotherapy is strongly associated with poor prognosis in breast carcinoma. Breast Cancer Res Treat 2018; 169: 295- 304. 3Kuhn E, Gambini D, Despini L, Asnaghi D, Runza L, Ferrero S. Updates on lymphovascular invasion in breast cancer. Biomedicine 2023; 11(3): 968. 4Jiang W, Meng R, Cheng Y, et al. Intra- and peritumoral based radiomics for assessment of lymphovascular invasion in invasive breast cancer. J Magn Reson Imaging 2023; Epub ahead of print. 5Zhang J, Wang G, Ren J, et al. Multiparametric MRI-based radiomics nomogram for preoperative prediction of lymphovascular invasion and clinical outcomes in patients with breast invasive ductal carcinoma. Eur Radiol 2022; 32: 4079- 4089. 6Kayadibi Y, Kocak B, Ucar N, Akan YN, Yildirim E, Bektas S. MRI Radiomics of breast cancer: Machine learning-based prediction of lymphovascular invasion status. Acad Radiol 2022; 29(Suppl 1): S126- S134. 7Liu Z, Feng B, Li C, et al. Preoperative prediction of lymphovascular invasion in invasive breast cancer with dynamic contrast-enhanced-MRI-based radiomics. J Magn Reson Imaging 2019; 50: 847- 857. 8Nijiati M, Aihaiti D, Huojia A, et al. MRI-based radiomics for preoperative prediction of lymphovascular invasion in patients with invasive breast cancer. Front Oncol 2022; 12:876624. 9Park NJ, Jeong JY, Park JY, et al. Peritumoral edema in breast cancer at preoperative MRI: An interpretative study with histopathological review toward understanding tumor microenvironment. Sci Rep 2021; 11:12992. 10Gillies RJ, Kinahan PE, Hricak H. Radiomics: Images are more than pictures, they are data. Radiology 2016; 278: 563- 577. Early ViewOnline Version of Record before inclusion in an issue ReferencesRelatedInformation