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Research ArticleHead and Neck Imaging
Open Access

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, 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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  • FIG 1.
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    FIG 1.

    The electron microscopic features of the 2 classifications for skull base chordomas in low-power fields (×2500). A, In a cell-dense type chordoma, the physaliphorous cells are relatively tightly arranged and there is little extracellular matrix present. The vacuoles are not as rich as those observed in matrix-rich type tumor cells. The nuclei vary in size and condensed nuclei are found. B, In a matrix-rich type chordoma, the physaliphorous cells are sparse, and abundant extracellular matrix contents exist. The vacuoles are rich and apparent. The nuclei are slightly atypical.

  • FIG 2.
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    FIG 2.

    Representative MR images of the 2 classified chordomas. A and B, The cell-dense type chordomas. A, T2-weighted MR imaging shows a low signal intensity, recurrent chordoma in the clival region. B, Contrast-enhanced MR imaging shows the lesion with marked enhancement. C and D, Matrix-rich type chordomas with high signal intensity on T2-weighted images and low signal intensity on contrast-enhanced MR imaging, respectively.

  • FIG 3.
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    FIG 3.

    Kaplan-Meier analysis illustrating PFS and OS of 32 patients with chordomas without adjuvant radiation therapy. A, The patients with matrix-rich type chordomas have a significantly longer PFS than the patients with cell-dense type chordomas (P = .003). B, The OS of patients with matrix-rich type chordomas is significantly longer than that of those with cell-dense type chordomas (P = .002).

Tables

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    Table 1:

    Key points for the differential diagnosis of cell-dense and matrix-rich types according to the ultrastructures of chordomasa

    Cell-Dense TypeMatrix-Rich Type
    Tumor cell content in a low-power field (×3000)Densely arrangedSeldom or none
    Extracellular matrix contentRelatively sparseAbundant
    Complex of rough endoplasmic reticulum and the mitochondriaRichRelatively seldom
    Nuclei and chromatinAbnormal nuclei with condensed, deeply staining heterochromatinRegularly shaped nuclei, mainly with loosely arranged euchromatin
    Cell junctionsDesmosomes are obviousFew desmosomes
    Collagen fibrilsType III collagen fibrils can be foundSeldom
    ExocytosisEasily foundSeldom
    • ↵a Reprinted with permission from Bai et al13 and Elsevier.

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    Table 2:

    Demographics of the 79 patients undergoing chordoma surgery in Beijing Tiantan Hospital between July 2012 and July 2016

    TotalMRTCDTP
    No. of cases793940
    Tumor status
     Primary372413.01
     Recurrent421527
    Sex
     Male432122.918
     Female361818
    Age (mean) (yr)
     Primary47.8 ± 17.442.3 ± 18.258.2 ± 9.97.006
     Recurrent47.1 ± 15.346.5 ± 16.547.6 ± 14.9.828
     Total47.5 ± 16.243.9 ± 17.551.0 ± 14.3.050
    Histopathology
     Conventional7135361.000
     Chondroid844
    Blood supplya
     Rich21714.073
     Not rich553124
    Resection grade
     ≥90%432320.423
     <90%361620
    Survival status
     Alive422715.018
     Died26818
     NAb1147
    Presurgery radiation therapy
     Yes17512.063
     No623428
    Postsurgery radiation therapy
     Yes301416.667
     No432122
     NAc642
    PFS (mo)d40.3 ± 5.452.2 ± 5.718.7 ± 6.9.003
    OS (mo)100.5 ± 7.1113.9 ± 6.388.9 ± 9.3.018
    • Note:—NA indicates not applicable.

    • ↵a Operative notes on 3 cases showed no specified blood supply.

    • ↵b Including both patients lost to follow-up and patients who did not die of chordomas.

    • ↵c Including the patients whose radiation therapy information was not available.

    • ↵d Patients without radiation therapy (n = 32).

    • View popup
    Table 3:

    Details for the electron microscopic classification

    Surgery No./Electron Microscopic ClassificationTumor StatusaNo. of Cases
    1 Operation (n = 65)
     CDTPrimary6
    Recurrent23
     MRTPrimary22
    Recurrent14
    2 Operations (n = 12)
     Both CDTsPrimary3
    Recurrent3
     Both MRTsPrimary3
    Recurrent0
     First MRT, second CDTPrimary1
    Recurrent1
     First CDT, second MRTPrimary1
    Recurrent0
    3 Operations (n = 2)
     3 CDTsPrimary1
    Recurrent0
     2 CDTs, 1 MRTbPrimary0
    Recurrent1
    • ↵a The tumor status when the first operation was performed in our hospital.

    • ↵b The second operation was diagnosed as MRT.

    • View popup
    Table 4:

    Comparison of signal intensity ratios between CDT and MRT

    Signal Intensity RatioElectron Microscopic ClassificationP
    CDTMRT
    Entire cohort (n = 95)
     RT21.90 ± 0.382.61 ± 0.60<.001
     RT10.63 ± 0.140.56 ± 0.13.016
     REN1.19 ± 0.420.99 ± 0.41.022
    Primary tumors (n = 37)
     RT21.99 ± 0.392.69 ± 0.53<.001
     RT10.67 ± 0.180.55 ± 0.13.019
     REN1.17 ± 0.420.89 ± 0.32.024
    Recurrent tumors (n = 58)
     RT21.87 ± 0.382.50 ± 0.67.001
     RT10.62 ± 0.130.58 ± 0.13.307
     REN1.19 ± 0.431.11 ± 0.49.526
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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, 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, DOI: 10.3174/ajnr.A6557
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