Clinical data and MRI features-based nomogram for differentiation of central nervous system infection and central nervous system involvement in hematological malignancy.

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Bibliographic Details
Title: Clinical data and MRI features-based nomogram for differentiation of central nervous system infection and central nervous system involvement in hematological malignancy.
Authors: Yi H; State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.; Tianjin Institutes of Health Science, Tianjin, China., Ren Y; State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.; Tianjin Institutes of Health Science, Tianjin, China., Zhang S; Department of Breast Imaging, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China., Xu C; State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.; Tianjin Institutes of Health Science, Tianjin, China., Yang W; State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.; Tianjin Institutes of Health Science, Tianjin, China., Chen X; State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.; Tianjin Institutes of Health Science, Tianjin, China., Wang X; State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.; Tianjin Institutes of Health Science, Tianjin, China., Zhong Y; Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China., Mi Y; State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.; Tianjin Institutes of Health Science, Tianjin, China., Feng S; State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China. szfeng@ihcams.ac.cn.; Tianjin Institutes of Health Science, Tianjin, China. szfeng@ihcams.ac.cn.
Source: Annals of hematology [Ann Hematol] 2024 Dec; Vol. 103 (12), pp. 5915-5923. Date of Electronic Publication: 2024 Oct 16.
Publication Type: Journal Article
Journal Info: Publisher: Springer Verlag Country of Publication: Germany NLM ID: 9107334 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-0584 (Electronic) Linking ISSN: 09395555 NLM ISO Abbreviation: Ann Hematol Subsets: MEDLINE
Database: MEDLINE Ultimate
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