18F-FDG PET/CT radiomic analysis with machine learning for identifying bone marrow involvement in the patients with suspected relapsed acute leukemia

Authors

Hebei Li, Washington University School of Medicine in St. Louis
Chongrui Xu, University of Sydney
Bowen Xin, University of Sydney
Chaojie Zheng, University of Sydney
Yunyun Zhao, Peking University
Keji Hao, Peking University
Qian Wang, Peking University
Richard L. Wahl, Washington University School of Medicine in St. Louis
Xiuying Wang, University of Sydney
Yun Zhou, Washington University School of Medicine in St. Louis

Journal

Theranostics

Publication Date

2019

Volume

9

Issue

16

First Page

4730

Last Page

4739

Document Type

Open Access Publication

DOI

10.7150/thno.33841

Rights and Permissions

Li, H. B., Xu, C. R., Xin, B. W., Zheng, C. J., Zhao, Y. Y., Hao, K. J., . . . Zhou, Y. (2019). F-18-FDG PET/CT Radiomic Analysis with Machine Learning for Identifying Bone Marrow Involvement in the Patients with Suspected Relapsed Acute Leukemia. Theranostics, 9(16), 4730-4739. doi:10.7150/thno.33841 © The author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions.

Recommended Citation

Li, Hebei; Xu, Chongrui; Xin, Bowen; Zheng, Chaojie; Zhao, Yunyun; Hao, Keji; Wang, Qian; Wahl, Richard L.; Wang, Xiuying; and Zhou, Yun, "18F-FDG PET/CT radiomic analysis with machine learning for identifying bone marrow involvement in the patients with suspected relapsed acute leukemia." Theranostics. 9, 16. 4730 - 4739. (2019).
https://digitalcommons.wustl.edu/open_access_pubs/8030