Accurate Patient-Specific Machine Learning Models of Glioblastoma Invasion Using Transfer Learning

L.S. Hu; H. Yoon; J.M. Eschbacher; L.C. Baxter; A.C. Dueck; A. Nespodzany; K.A. Smith; P. Nakaji; Y. Xu; L. Wang; J.P. Karis; A.J. Hawkins-Daarud; K.W. Singleton; P.R. Jackson; B.J. Anderies; B.R. Bendok; R.S. Zimmerman; C. Quarles; A.B. Porter-Umphrey; M.M. Mrugala; A. Sharma; J.M. Hoxworth; M.G. Sattur; N. Sanai; P.E. Koulemberis; C. Krishna; J.R. Mitchell; T. Wu; N.L. Tran; K.R. Swanson; J. Li

doi:10.3174/ajnr.A5981

Research ArticleAdult Brain

Open Access

Accurate Patient-Specific Machine Learning Models of Glioblastoma Invasion Using Transfer Learning

L.S. Hu, H. Yoon, J.M. Eschbacher, L.C. Baxter, A.C. Dueck, A. Nespodzany, K.A. Smith, P. Nakaji, Y. Xu, L. Wang, J.P. Karis, A.J. Hawkins-Daarud, K.W. Singleton, P.R. Jackson, B.J. Anderies, B.R. Bendok, R.S. Zimmerman, C. Quarles, A.B. Porter-Umphrey, M.M. Mrugala, A. Sharma, J.M. Hoxworth, M.G. Sattur, N. Sanai, P.E. Koulemberis, C. Krishna, J.R. Mitchell, T. Wu, N.L. Tran, K.R. Swanson and J. Li

American Journal of Neuroradiology March 2019, 40 (3) 418-425; DOI: https://doi.org/10.3174/ajnr.A5981

L.S. Hu

aFrom the Department of Radiology (L.S.H., J.M.H., J.R.M., T.W., J.L.)

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H. Yoon

fArizona State University (H.Y., Y.X., L.W., T.W., J.L.), Tempe, Arizona

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J.M. Eschbacher

gDepartments of Pathology (J.M.E.)

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L.C. Baxter

hRadiology (L.C.B., A.N., J.P.K.)

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A.C. Dueck

kDepartment of Biostatistics (A.C.D.), Mayo Clinic in Arizona, Scottsdale, Arizona

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A. Nespodzany

hRadiology (L.C.B., A.N., J.P.K.)

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K.A. Smith

iNeurosurgery (K.A.S., P.N., N.S.)

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P. Nakaji

iNeurosurgery (K.A.S., P.N., N.S.)

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Y. Xu

fArizona State University (H.Y., Y.X., L.W., T.W., J.L.), Tempe, Arizona

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L. Wang

fArizona State University (H.Y., Y.X., L.W., T.W., J.L.), Tempe, Arizona

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J.P. Karis

hRadiology (L.C.B., A.N., J.P.K.)

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A.J. Hawkins-Daarud

bPrecision Neurotherapeutics Lab (A.J.H.-D., K.W.S., P.R.J, B.R.B., K.R.S.)

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K.W. Singleton

bPrecision Neurotherapeutics Lab (A.J.H.-D., K.W.S., P.R.J, B.R.B., K.R.S.)

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P.R. Jackson

bPrecision Neurotherapeutics Lab (A.J.H.-D., K.W.S., P.R.J, B.R.B., K.R.S.)

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B.J. Anderies

cDepartment of Neurosurgery (B.J.A., B.R.B., R.S.Z., M.G.S., P.E.K., C.K., K.R.S.)

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B.R. Bendok

bPrecision Neurotherapeutics Lab (A.J.H.-D., K.W.S., P.R.J, B.R.B., K.R.S.)

cDepartment of Neurosurgery (B.J.A., B.R.B., R.S.Z., M.G.S., P.E.K., C.K., K.R.S.)

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R.S. Zimmerman

cDepartment of Neurosurgery (B.J.A., B.R.B., R.S.Z., M.G.S., P.E.K., C.K., K.R.S.)

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C. Quarles

jNeuroimaging Research (C.Q.), Barrow Neurological Institute, Phoenix, Arizona

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A.B. Porter-Umphrey

dDepartment of Neuro-Oncology (A.B.P.-U., M.M.M., A.S.)

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M.M. Mrugala

dDepartment of Neuro-Oncology (A.B.P.-U., M.M.M., A.S.)

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A. Sharma

dDepartment of Neuro-Oncology (A.B.P.-U., M.M.M., A.S.)

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J.M. Hoxworth

aFrom the Department of Radiology (L.S.H., J.M.H., J.R.M., T.W., J.L.)

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M.G. Sattur

cDepartment of Neurosurgery (B.J.A., B.R.B., R.S.Z., M.G.S., P.E.K., C.K., K.R.S.)

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N. Sanai

iNeurosurgery (K.A.S., P.N., N.S.)

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P.E. Koulemberis

cDepartment of Neurosurgery (B.J.A., B.R.B., R.S.Z., M.G.S., P.E.K., C.K., K.R.S.)

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C. Krishna

cDepartment of Neurosurgery (B.J.A., B.R.B., R.S.Z., M.G.S., P.E.K., C.K., K.R.S.)

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J.R. Mitchell

aFrom the Department of Radiology (L.S.H., J.M.H., J.R.M., T.W., J.L.)

lH. Lee Moffitt Cancer Center and Research Institute (J.R.M.), Tampa, Florida.

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T. Wu

aFrom the Department of Radiology (L.S.H., J.M.H., J.R.M., T.W., J.L.)

fArizona State University (H.Y., Y.X., L.W., T.W., J.L.), Tempe, Arizona

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N.L. Tran

eDepartment of Cancer Biology (N.L.T.), Mayo Clinic in Arizona, Phoenix, Arizona

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K.R. Swanson

bPrecision Neurotherapeutics Lab (A.J.H.-D., K.W.S., P.R.J, B.R.B., K.R.S.)

cDepartment of Neurosurgery (B.J.A., B.R.B., R.S.Z., M.G.S., P.E.K., C.K., K.R.S.)

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J. Li

aFrom the Department of Radiology (L.S.H., J.M.H., J.R.M., T.W., J.L.)

fArizona State University (H.Y., Y.X., L.W., T.W., J.L.), Tempe, Arizona

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Accurate Patient-Specific Machine Learning Models of Glioblastoma Invasion Using Transfer Learning

American Journal of Neuroradiology Mar 2019, 40 (3) 418-425; DOI: 10.3174/ajnr.A5981

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Accurate Patient-Specific Machine Learning Models of Glioblastoma Invasion Using Transfer Learning

American Journal of Neuroradiology Mar 2019, 40 (3) 418-425; DOI: 10.3174/ajnr.A5981

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