MRI Signal Intensity and Electron Ultrastructure Classification Predict the Long-Term Outcome of Skull Base Chordomas

J. Bai; J. Shi; S. Zhang; C. Zhang; Y. Zhai; S. Wang; M. Li; C. Li; P. Zhao; S. Geng; S. Gui; L. Jing; Y. Zhang

doi:10.3174/ajnr.A6557

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MRI Signal Intensity and Electron Ultrastructure Classification Predict the Long-Term Outcome of Skull Base Chordomas

J. Bai, J. Shi, S. Zhang, C. Zhang, Y. Zhai, S. Wang, M. Li, C. Li, P. Zhao, S. Geng, S. Gui, L. Jing and Y. Zhang

American Journal of Neuroradiology May 2020, 41 (5) 852-858; DOI: https://doi.org/10.3174/ajnr.A6557

J. Bai

aFrom the Department of Neurosurgery (J.B., P.Z., S. Geng, S. Gui, Y. Zhang), Beijing Tiantan Hospital, Capital Medical University, Beijing, China

bBeijing Neurosurgical Institute (J.B., S.Z., C.Z., Y. Zhai, S.W., M.L., C.L., Y. Zhang), Capital Medical University, Beijing, China

cChina National Clinical Research Center for Neurological Diseases (J.B., P.Z., S. Geng, S. Gui, Y. Zhang), Beijing, China

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J. Shi

dDepartment of Neurosurgery (J.S.), Tsinghua University Yuquan Hospital, Beijing, China

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S. Zhang

bBeijing Neurosurgical Institute (J.B., S.Z., C.Z., Y. Zhai, S.W., M.L., C.L., Y. Zhang), Capital Medical University, Beijing, China

eDepartment of Neurosurgery (S.Z.), Anshan Central Hospital, Anshan, China

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C. Zhang

bBeijing Neurosurgical Institute (J.B., S.Z., C.Z., Y. Zhai, S.W., M.L., C.L., Y. Zhang), Capital Medical University, Beijing, China

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Y. Zhai

bBeijing Neurosurgical Institute (J.B., S.Z., C.Z., Y. Zhai, S.W., M.L., C.L., Y. Zhang), Capital Medical University, Beijing, China

fDepartment of Neurosurgery (Y. Zhai), First Affiliated Hospital, Zhengzhou University, Zhengzhou, China

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S. Wang

bBeijing Neurosurgical Institute (J.B., S.Z., C.Z., Y. Zhai, S.W., M.L., C.L., Y. Zhang), Capital Medical University, Beijing, China

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M. Li

bBeijing Neurosurgical Institute (J.B., S.Z., C.Z., Y. Zhai, S.W., M.L., C.L., Y. Zhang), Capital Medical University, Beijing, China

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C. Li

bBeijing Neurosurgical Institute (J.B., S.Z., C.Z., Y. Zhai, S.W., M.L., C.L., Y. Zhang), Capital Medical University, Beijing, China

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P. Zhao

aFrom the Department of Neurosurgery (J.B., P.Z., S. Geng, S. Gui, Y. Zhang), Beijing Tiantan Hospital, Capital Medical University, Beijing, China

cChina National Clinical Research Center for Neurological Diseases (J.B., P.Z., S. Geng, S. Gui, Y. Zhang), Beijing, China

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S. Geng

aFrom the Department of Neurosurgery (J.B., P.Z., S. Geng, S. Gui, Y. Zhang), Beijing Tiantan Hospital, Capital Medical University, Beijing, China

cChina National Clinical Research Center for Neurological Diseases (J.B., P.Z., S. Geng, S. Gui, Y. Zhang), Beijing, China

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S. Gui

aFrom the Department of Neurosurgery (J.B., P.Z., S. Geng, S. Gui, Y. Zhang), Beijing Tiantan Hospital, Capital Medical University, Beijing, China

cChina National Clinical Research Center for Neurological Diseases (J.B., P.Z., S. Geng, S. Gui, Y. Zhang), Beijing, China

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L. Jing

gDepartment of Health Statistics (L.J.), Shanxi Medical University, Taiyuan, China.

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Y. Zhang

aFrom the Department of Neurosurgery (J.B., P.Z., S. Geng, S. Gui, Y. Zhang), Beijing Tiantan Hospital, Capital Medical University, Beijing, China

bBeijing Neurosurgical Institute (J.B., S.Z., C.Z., Y. Zhai, S.W., M.L., C.L., Y. Zhang), Capital Medical University, Beijing, China

cChina National Clinical Research Center for Neurological Diseases (J.B., P.Z., S. Geng, S. Gui, Y. Zhang), Beijing, China

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J. Bai, J. Shi, S. Zhang, C. Zhang, Y. Zhai, S. Wang, M. Li, C. Li, P. Zhao, S. Geng, S. Gui, L. Jing, Y. Zhang

MRI Signal Intensity and Electron Ultrastructure Classification Predict the Long-Term Outcome of Skull Base Chordomas

American Journal of Neuroradiology May 2020, 41 (5) 852-858; DOI: 10.3174/ajnr.A6557

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MRI Signal Intensity and Electron Ultrastructure Classification Predict the Long-Term Outcome of Skull Base Chordomas

J. Bai, J. Shi, S. Zhang, C. Zhang, Y. Zhai, S. Wang, M. Li, C. Li, P. Zhao, S. Geng, S. Gui, L. Jing, Y. Zhang

American Journal of Neuroradiology May 2020, 41 (5) 852-858; DOI: 10.3174/ajnr.A6557

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