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Comparison of MR cytometry methods in predicting immunohistochemical factor status and molecular subtypes of breast cancer Cover

Comparison of MR cytometry methods in predicting immunohistochemical factor status and molecular subtypes of breast cancer

Open Access
|Aug 2025

Authors

Lei Wu

Qinghai University Affiliated Hospital, Xining, China

Fan Liu

Center for Biomedical Imaging Research, School of Biomedical Engineering, Tsinghua University, Beijing, China

Sisi Li

MR Research Collaboration Team, Siemens Healthineers Ltd., Beijing, China

Xinyi Luo

Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China

Yishi Wang

MR Research Collaboration Team, Siemens Healthineers Ltd., Beijing, China

Wen Zhong

Center for Biomedical Imaging Research, School of Biomedical Engineering, Tsinghua University, Beijing, China

Thorsten Feiweier

MR Research Collaboration Team, Siemens Healthineers AG, Erlangen, Germany

Junzhong Xu

Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, United States
Department of Biomedical Engineering, Vanderbilt University, Nashville, United States
Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, United States

Haihua Bao

baohelen2@sina.com

Qinghai University Affiliated Hospital, Xining, China

Diwei Shi

sdw18701584492@163.com

Center for Nano and Micro Mechanics, Department of Engineering Mechanics, Tsinghua University, Beijing, China

Hua Guo

Center for Biomedical Imaging Research, School of Biomedical Engineering, Tsinghua University, Beijing, China
DOI: https://doi.org/10.2478/raon-2025-0044 | Journal eISSN: 1581-3207 | Journal ISSN: 1318-2099
Language: English
Page range: 337 - 348
Submitted on: Mar 3, 2025
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Accepted on: May 19, 2025
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Published on: Aug 6, 2025
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2025 Lei Wu, Fan Liu, Sisi Li, Xinyi Luo, Yishi Wang, Wen Zhong, Thorsten Feiweier, Junzhong Xu, Haihua Bao, Diwei Shi, Hua Guo, published by Association of Radiology and Oncology
This work is licensed under the Creative Commons Attribution 4.0 License.