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Research ArticlePediatric Neuroimaging
Open Access

Radiomics of Pediatric Low-Grade Gliomas: Toward a Pretherapeutic Differentiation of BRAF-Mutated and BRAF-Fused Tumors

M.W. Wagner, N. Hainc, F. Khalvati, K. Namdar, L. Figueiredo, M. Sheng, S. Laughlin, M.M. Shroff, E. Bouffet, U. Tabori, C. Hawkins, K.W. Yeom and B.B. Ertl-Wagner
American Journal of Neuroradiology April 2021, 42 (4) 759-765; DOI: https://doi.org/10.3174/ajnr.A6998
M.W. Wagner
aFrom the Departments of Diagnostic Imaging (M.W.W., N.H., F.K., K.N., M.S., S.L., M.M.S., B.B.E.-W.)
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  • ORCID record for M.W. Wagner
N. Hainc
aFrom the Departments of Diagnostic Imaging (M.W.W., N.H., F.K., K.N., M.S., S.L., M.M.S., B.B.E.-W.)
dDepartment of Neuroradiology (N.H.), Zurich University Hospital, University of Zurich, Zurich, Switzerland
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  • ORCID record for N. Hainc
F. Khalvati
aFrom the Departments of Diagnostic Imaging (M.W.W., N.H., F.K., K.N., M.S., S.L., M.M.S., B.B.E.-W.)
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K. Namdar
aFrom the Departments of Diagnostic Imaging (M.W.W., N.H., F.K., K.N., M.S., S.L., M.M.S., B.B.E.-W.)
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L. Figueiredo
bDivision of Neuroradiology, Neurooncology (L.F., E.B., U.T.)
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  • ORCID record for L. Figueiredo
M. Sheng
aFrom the Departments of Diagnostic Imaging (M.W.W., N.H., F.K., K.N., M.S., S.L., M.M.S., B.B.E.-W.)
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S. Laughlin
aFrom the Departments of Diagnostic Imaging (M.W.W., N.H., F.K., K.N., M.S., S.L., M.M.S., B.B.E.-W.)
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M.M. Shroff
aFrom the Departments of Diagnostic Imaging (M.W.W., N.H., F.K., K.N., M.S., S.L., M.M.S., B.B.E.-W.)
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E. Bouffet
bDivision of Neuroradiology, Neurooncology (L.F., E.B., U.T.)
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U. Tabori
bDivision of Neuroradiology, Neurooncology (L.F., E.B., U.T.)
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C. Hawkins
cPaediatric Laboratory Medicine (C.H.), Division of Pathology, The Hospital for Sick Children and Department of Medical Imaging, University of Toronto, Ontario, Canada
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K.W. Yeom
eDepartment of Radiology (K.W.Y.), Stanford University School of Medicine, Lucile Packard Children’s Hospital, Palo Alto, California
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B.B. Ertl-Wagner
aFrom the Departments of Diagnostic Imaging (M.W.W., N.H., F.K., K.N., M.S., S.L., M.M.S., B.B.E.-W.)
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  • FIG 1.
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    FIG 1.

    Receiver operating characteristic curve with a 4-fold cross-validation scheme to predict BRAF status using radiomics of FLAIR MR images. Std. dev. indicates standard deviation.

  • FIG 2.
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    FIG 2.

    Receiver operating characteristic curve of the external validation using the optimal hyperparameters obtained by 4-fold cross-validation.

  • FIG 3.
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    FIG 3.

    Axial FLAIR images of pLGG. A, A 7-year-old boy. Infratentorial, BRAF V600E-mutated JPA. B, A 12-year-old boy. Supratentorial intraventricular, BRAF-fused ganglioma. C, A 7-year-old boy. Left temporal BRAF V600E-mutated dysembryoplastic neuroepithelial tumor. D, An 8-year-old boy. Right temporal BRAF V600E-mutated pleomorphic xanthoastrocytoma.

Tables

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    Table 1:

    Patient demographics

    Institutional Cohort
    TorontoStanford
    No. of patients9421
    Age (mean) (yr)9.48.37
    Male sex (No.) (%)45 (48)12 (57)
    Histologic diagnosis (No.)
     JPA5412
     GG147
     LGA11
     PMA42
     PXA5
     DNET2
     DA2
     GC1
     ODG1
    Molecular subgroup (No.) (%)
     BRAF fusion62 (66)14 (66)
     BRAF mutation32 (34)7 (34)
    FLAIR availability (No.)9421
    Supratentorial (No.) (%)43 (46)6 (28)
    Transtentorial (No.) (%)01 (5)
    Infratentorial (No.) (%)51 (54)14 (67)
    • Note:—GG indicates ganglioglioma; LGA, low-grade astrocytoma; PMA, pilomyxoid astrocytoma; PXA, pleomorphic xanthoastrocytoma; DNET, dysembryoplastic neuroepithelial tumor; DA, diffuse astrocytoma; GC, gangliocytoma; ODG, oligodendroglioma.

    • View popup
    Table 2:

    Performance of radiomic features

    No. of FoldsNo. of TreesAUC (SD) (95% CI)Mean Sensitivity (95% CI)Mean Specificity (95% CI)Mean PPV (95% CI)Mean NPV (95% CI)Top 10 Predictive Features on the External Dataset
    4250.75 (SD, 0.12) (0.62–0.89)0.72 (0.60–0.84)0.86 (0.76–0.95)0.73 (0.60–0.87)0.85 (0.80–0.91)(585, 374, 761, 22, 17, 560, 344, 258, 148, 108)
    • Note:—SD indicates Standard Deviation; PPV, Positive Predictive Value; NPV; Negative Predictive Value.

    • View popup
    Table 3:

    Predictive radiomic featuresa

    No.SourceFeature CategoryFeature
    5853D wavelet transformGray-level difference matrixSmall dependence low gray-level emphasis
    3743D wavelet transformGray-level size zone matrixZone percentage
    7613D wavelet transformGray-level difference matrixDependence entropy
    22OriginalGray-level difference matrixDependence nonuniformity normalized
    17OriginalGray-level difference matrixDependence entropy
    5603D wavelet transformGray-level size zone matrixZone percentage
    3443D wavelet transformHistogramEntropy
    2583D wavelet transformGray-level run-lengthGray-level variance
    1483D wavelet transformHistogramUniformity
    1083D wavelet transformGray-level difference matrixGray-level variance
    • ↵a Radiomic features are ranked from top to bottom according to their importance.

    • View popup
    Table 4:

    Discriminative clinical factorsa

    VariableP ValueOdds Ratio (95% CI)
    Age.041.14 (1.008–1.30)
    Location<.00118.80 (4.96–94.6)
    Sex.96
    • ↵a Older age and supratentorial location of tumor are significant predictors of BRAF V600E mutation. Sex is not a predictor.

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American Journal of Neuroradiology: 42 (4)
American Journal of Neuroradiology
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M.W. Wagner, N. Hainc, F. Khalvati, K. Namdar, L. Figueiredo, M. Sheng, S. Laughlin, M.M. Shroff, E. Bouffet, U. Tabori, C. Hawkins, K.W. Yeom, B.B. Ertl-Wagner
Radiomics of Pediatric Low-Grade Gliomas: Toward a Pretherapeutic Differentiation of BRAF-Mutated and BRAF-Fused Tumors
American Journal of Neuroradiology Apr 2021, 42 (4) 759-765; DOI: 10.3174/ajnr.A6998

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Radiomics of Pediatric Low-Grade Gliomas: Toward a Pretherapeutic Differentiation of BRAF-Mutated and BRAF-Fused Tumors
M.W. Wagner, N. Hainc, F. Khalvati, K. Namdar, L. Figueiredo, M. Sheng, S. Laughlin, M.M. Shroff, E. Bouffet, U. Tabori, C. Hawkins, K.W. Yeom, B.B. Ertl-Wagner
American Journal of Neuroradiology Apr 2021, 42 (4) 759-765; DOI: 10.3174/ajnr.A6998
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