Editorial highlights diffusion MRI's potential to distinguish thyroid nodules from malignancy, suggesting it may improve diagnostic accuracy.
Journal of Magnetic Resonance ImagingEarly View EDITORIAL Editorial for "Differentiating Benign Thyroid Nodules and Papillary Thyroid Carcinoma Using Time-Dependent Diffusion MRI: A Feasibility Study" This article relates to: Differentiating Benign Thyroid Nodules and Papillary Thyroid Carcinoma Using Time-Dependent Diffusion MRI: A Feasibility Study Huanhuan Ren, Diwei Shi, Junhao Huang, Hong Yu, Ting Yin, Daihong Liu, Jiuquan Zhang, Journal of Magnetic Resonance Imaging First Published online: August 20, 2025 Xiangyu Zhao, Xiangyu Zhao Department of R&D, Yizhun Medical AI Co., Ltd, Heying Center, Beijing, ChinaSearch for more papers by this authorLufan Chang, Corresponding Author Lufan Chang [email protected] orcid.org/0000-0003-4949-493X Department of R&D, Yizhun Medical AI Co., Ltd, Heying Center, Beijing, China Correspondence: Lufan Chang ([email protected])Search for more papers by this author Xiangyu Zhao, Xiangyu Zhao Department of R&D, Yizhun Medical AI Co., Ltd, Heying Center, Beijing, ChinaSearch for more papers by this authorLufan Chang, Corresponding Author Lufan Chang [email protected] orcid.org/0000-0003-4949-493X Department of R&D, Yizhun Medical AI Co., Ltd, Heying Center, Beijing, China Correspondence: Lufan Chang ([email protected])Search for more papers by this author First published: 22 August 2025 https://doi.org/10.1002/jmri.70082 Funding: The authors received no specific funding for this work. 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 onEmailFacebookxLinkedInRedditWechatBluesky No abstract is available for this article. References 1E. K. Alexander and E. S. Cibas, "Diagnosis of Thyroid Nodules," Lancet Diabetes and Endocrinology 10, no. 7 (2022): 533–539. 10.1016/S2213-8587(22)00101-2 PubMed Web of Science® Google Scholar 2F. N. Tessler, W. D. Middleton, E. G. Grant, et al., "ACR Thyroid Imaging, Reporting and Data System (TI-RADS): White Paper of the ACR TI-RADS Committee," Journal of the American College of Radiology 14, no. 5 (2017): 587–595. 10.1016/j.jacr.2017.01.046 PubMed Web of Science® Google Scholar 3W. S. Goldner, T. E. Angell, S. L. McAdoo, et al., "Molecular Variants and Their Risks for Malignancy in Cytologically Indeterminate Thyroid Nodules," Thyroid 29, no. 11 (2019): 1594–1605. 10.1089/thy.2019.0278 CAS PubMed Web of Science® Google Scholar 4A. Persichetti, E. Di Stasio, C. Coccaro, et al., "Inter- and Intraobserver Agreement in the Assessment of Thyroid Nodule Ultrasound Features and Classification Systems: A Blinded Multicenter Study," Thyroid 30, no. 2 (2020): 237–242. 10.1089/thy.2019.0360 PubMed Web of Science® Google Scholar 5B. Wildman-Tobriner, M. Buda, J. K. Hoang, et al., "Using Artificial Intelligence to Revise ACR TI-RADS Risk Stratification of Thyroid Nodules: Diagnostic Accuracy and Utility," Radiology 292, no. 1 (2019): 112–119. 10.1148/radiol.2019182128 PubMed Web of Science® Google Scholar 6D. H. Kim, S. R. Chung, S. H. Choi, and K. W. Kim, "Accuracy of Thyroid Imaging Reporting and Data System Category 4 or 5 for Diagnosing Malignancy: A Systematic Review and Meta-Analysis," European Radiology 30, no. 10 (2020): 5611–5624. 10.1007/s00330-020-06875-w PubMed Web of Science® Google Scholar 7H. Ren, D. Shi, J. Huang, et al., "Differentiating Benign Thyroid Nodules and Papillary Thyroid Carcinoma Using Time-Dependent Diffusion MRI: A Feasibility Study," Journal of Magnetic Resonance Imaging JMRI-25-0909. Google Scholar 8H. Wang, B. Song, N. Ye, et al., "Machine Learning-Based Multiparametric MRI Radiomics for Predicting the Aggressiveness of Papillary Thyroid Carcinoma," European Journal of Radiology 122 (2020): 108755. 10.1016/j.ejrad.2019.108755 PubMed Web of Science® Google Scholar 9R. Wei, H. Wang, L. Wang, et al., "Radiomics Based on Multiparametric MRI for Extrathyroidal Extension Feature Prediction in Papillary Thyroid Cancer," BMC Medical Imaging 21, no. 1 (2021): 20. 10.1186/s12880-021-00553-z PubMed Web of Science® Google Scholar Early ViewOnline Version of Record before inclusion in an issue ReferencesRelatedInformation
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