Skip to main content
Advertisement

Main menu

  • Home
  • Content
    • Current Issue
    • Accepted Manuscripts
    • Article Preview
    • Past Issue Archive
    • Video Articles
    • AJNR Case Collection
    • Case of the Week Archive
    • Case of the Month Archive
    • Classic Case Archive
  • Special Collections
    • AJNR Awards
    • Low-Field MRI
    • Alzheimer Disease
    • ASNR Foundation Special Collection
    • Photon-Counting CT
    • View All
  • Multimedia
    • AJNR Podcasts
    • AJNR SCANtastic
    • Trainee Corner
    • MRI Safety Corner
    • Imaging Protocols
  • For Authors
    • Submit a Manuscript
    • Submit a Video Article
    • Submit an eLetter to the Editor/Response
    • Manuscript Submission Guidelines
    • Statistical Tips
    • Fast Publishing of Accepted Manuscripts
    • Graphical Abstract Preparation
    • Imaging Protocol Submission
    • Author Policies
  • About Us
    • About AJNR
    • Editorial Board
    • Editorial Board Alumni
  • More
    • Become a Reviewer/Academy of Reviewers
    • Subscribers
    • Permissions
    • Alerts
    • Feedback
    • Advertisers
    • ASNR Home

User menu

  • Alerts
  • Log in

Search

  • Advanced search
American Journal of Neuroradiology
American Journal of Neuroradiology

American Journal of Neuroradiology

ASHNR American Society of Functional Neuroradiology ASHNR American Society of Pediatric Neuroradiology ASSR
  • Alerts
  • Log in

Advanced Search

  • Home
  • Content
    • Current Issue
    • Accepted Manuscripts
    • Article Preview
    • Past Issue Archive
    • Video Articles
    • AJNR Case Collection
    • Case of the Week Archive
    • Case of the Month Archive
    • Classic Case Archive
  • Special Collections
    • AJNR Awards
    • Low-Field MRI
    • Alzheimer Disease
    • ASNR Foundation Special Collection
    • Photon-Counting CT
    • View All
  • Multimedia
    • AJNR Podcasts
    • AJNR SCANtastic
    • Trainee Corner
    • MRI Safety Corner
    • Imaging Protocols
  • For Authors
    • Submit a Manuscript
    • Submit a Video Article
    • Submit an eLetter to the Editor/Response
    • Manuscript Submission Guidelines
    • Statistical Tips
    • Fast Publishing of Accepted Manuscripts
    • Graphical Abstract Preparation
    • Imaging Protocol Submission
    • Author Policies
  • About Us
    • About AJNR
    • Editorial Board
    • Editorial Board Alumni
  • More
    • Become a Reviewer/Academy of Reviewers
    • Subscribers
    • Permissions
    • Alerts
    • Feedback
    • Advertisers
    • ASNR Home
  • Follow AJNR on Twitter
  • Visit AJNR on Facebook
  • Follow AJNR on Instagram
  • Join AJNR on LinkedIn
  • RSS Feeds

AJNR Awards, New Junior Editors, and more. Read the latest AJNR updates

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.)
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for L.S. Hu
H. Yoon
fArizona State University (H.Y., Y.X., L.W., T.W., J.L.), Tempe, Arizona
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for H. Yoon
J.M. Eschbacher
gDepartments of Pathology (J.M.E.)
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for J.M. Eschbacher
L.C. Baxter
hRadiology (L.C.B., A.N., J.P.K.)
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for L.C. Baxter
A.C. Dueck
kDepartment of Biostatistics (A.C.D.), Mayo Clinic in Arizona, Scottsdale, Arizona
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for A.C. Dueck
A. Nespodzany
hRadiology (L.C.B., A.N., J.P.K.)
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for A. Nespodzany
K.A. Smith
iNeurosurgery (K.A.S., P.N., N.S.)
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for K.A. Smith
P. Nakaji
iNeurosurgery (K.A.S., P.N., N.S.)
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for P. Nakaji
Y. Xu
fArizona State University (H.Y., Y.X., L.W., T.W., J.L.), Tempe, Arizona
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Y. Xu
L. Wang
fArizona State University (H.Y., Y.X., L.W., T.W., J.L.), Tempe, Arizona
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for L. Wang
J.P. Karis
hRadiology (L.C.B., A.N., J.P.K.)
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for J.P. Karis
A.J. Hawkins-Daarud
bPrecision Neurotherapeutics Lab (A.J.H.-D., K.W.S., P.R.J, B.R.B., K.R.S.)
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for A.J. Hawkins-Daarud
K.W. Singleton
bPrecision Neurotherapeutics Lab (A.J.H.-D., K.W.S., P.R.J, B.R.B., K.R.S.)
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for K.W. Singleton
P.R. Jackson
bPrecision Neurotherapeutics Lab (A.J.H.-D., K.W.S., P.R.J, B.R.B., K.R.S.)
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for P.R. Jackson
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.)
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for B.J. Anderies
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.)
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for B.R. Bendok
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.)
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for R.S. Zimmerman
C. Quarles
jNeuroimaging Research (C.Q.), Barrow Neurological Institute, Phoenix, Arizona
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for C. Quarles
A.B. Porter-Umphrey
dDepartment of Neuro-Oncology (A.B.P.-U., M.M.M., A.S.)
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for A.B. Porter-Umphrey
M.M. Mrugala
dDepartment of Neuro-Oncology (A.B.P.-U., M.M.M., A.S.)
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for M.M. Mrugala
A. Sharma
dDepartment of Neuro-Oncology (A.B.P.-U., M.M.M., A.S.)
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for A. Sharma
J.M. Hoxworth
aFrom the Department of Radiology (L.S.H., J.M.H., J.R.M., T.W., J.L.)
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for J.M. Hoxworth
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.)
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for M.G. Sattur
N. Sanai
iNeurosurgery (K.A.S., P.N., N.S.)
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for N. Sanai
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.)
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for P.E. Koulemberis
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.)
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for C. Krishna
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.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for J.R. Mitchell
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
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for T. Wu
N.L. Tran
eDepartment of Cancer Biology (N.L.T.), Mayo Clinic in Arizona, Phoenix, Arizona
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for N.L. Tran
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.)
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for K.R. Swanson
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
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for J. Li
  • Article
  • Figures & Data
  • Supplemental
  • Info & Metrics
  • Responses
  • References
  • PDF
Loading

References

  1. 1.↵
    1. Sarkaria JN,
    2. Hu LS,
    3. Parney IF, et al
    . Is the blood-brain barrier really disrupted in all glioblastomas? A critical assessment of existing clinical data. Neuro Oncol 2018;20:184–91 doi:10.1093/neuonc/nox175 pmid:29016900
    CrossRefPubMed
  2. 2.↵
    1. Barajas RF Jr.,
    2. Hodgson JG,
    3. Chang JS, et al
    . Glioblastoma multiforme regional genetic and cellular expression patterns: influence on anatomic and physiologic MR imaging. Radiology 2010;254:564–76 doi:10.1148/radiol.09090663 pmid:20093527
    CrossRefPubMedWeb of Science
  3. 3.↵
    1. Hu LS,
    2. Ning S,
    3. Eschbacher JM, et al
    . Multi-parametric MRI and texture analysis to visualize spatial histologic heterogeneity and tumor extent in glioblastoma. PLoS One 2015;10:e0141506 doi:10.1371/journal.pone.0141506 pmid:26599106
    CrossRefPubMed
  4. 4.↵
    1. Baldock AL,
    2. Ahn S,
    3. Rockne R1, et al
    . Patient-specific metrics of invasiveness reveal significant prognostic benefit of resection in a predictable subset of gliomas. PLoS One 2014;9:e99057 doi:10.1371/journal.pone.0099057 pmid:25350742
    CrossRefPubMed
  5. 5.↵
    1. Price SJ,
    2. Jena R,
    3. Burnet NG, et al
    . Improved delineation of glioma margins and regions of infiltration with the use of diffusion tensor imaging: an image-guided biopsy study. AJNR Am J Neuroradiol 2006;27:1969–74 pmid:17032877
    Abstract/FREE Full Text
  6. 6.↵
    1. Hu LS,
    2. Ning S,
    3. Eschbacher JM, et al
    . Radiogenomics to characterize regional genetic heterogeneity in glioblastoma. Neuro Oncol 2017;19:128–37 doi:10.1093/neuonc/now135 pmid:27502248
    CrossRefPubMed
  7. 7.↵
    1. Corwin D,
    2. Holdsworth C,
    3. Rockne RC, et al
    . Toward patient-specific, biologically optimized radiation therapy plans for the treatment of glioblastoma. PLoS One 2013;8:e79115 doi:10.1371/journal.pone.0079115 pmid:24265748
    CrossRefPubMed
  8. 8.↵
    1. Pafundi DH,
    2. Laack NN,
    3. Youland RS, et al
    . Biopsy validation of 18F-DOPA PET and biodistribution in gliomas for neurosurgical planning and radiotherapy target delineation: results of a prospective pilot study. Neuro Oncol 2013;15:1058–67 doi:10.1093/neuonc/not002 pmid:23460322
    CrossRefPubMed
  9. 9.↵
    1. Ellingson BM,
    2. Malkin MG,
    3. Rand SD, et al
    . Validation of functional diffusion maps (fDMs) as a biomarker for human glioma cellularity. J Magn Reson Imaging 2010;31:538–48 doi:10.1002/jmri.22068 pmid:20187195
    CrossRefPubMedWeb of Science
  10. 10.↵
    1. Mohsen LA,
    2. Shi V,
    3. Jena R., et al
    . Diffusion tensor invasive phenotypes can predict progression-free survival in glioblastomas. Br J Neurosurg 2013;27:436–41 doi:10.3109/02688697.2013.771136 pmid:23445331
    CrossRefPubMed
  11. 11.↵
    1. Stadlbauer A,
    2. Ganslandt O,
    3. Buslei R., et al
    . Gliomas: histopathologic evaluation of changes in directionality and magnitude of water diffusion at diffusion-tensor MR imaging. Radiology 2006;240:803–10 doi:10.1148/radiol.2403050937 pmid:16926329
    CrossRefPubMedWeb of Science
  12. 12.↵
    1. Hu LS,
    2. Eschbacher JM,
    3. Dueck AC, et al
    . Correlations between perfusion MR imaging cerebral blood volume, microvessel quantification, and clinical outcome using stereotactic analysis in recurrent high-grade glioma. AJNR Am J Neuroradiol 2012;33:69–76 doi:10.3174/ajnr.A2743 pmid:22095961
    Abstract/FREE Full Text
  13. 13.↵
    1. Hu LS,
    2. Baxter LC,
    3. Smith KA, et al
    . Relative cerebral blood volume values to differentiate high-grade glioma recurrence from posttreatment radiation effect: direct correlation between image-guided tissue histopathology and localized dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging measurements. AJNR Am J Neuroradiol 2009;30:552–58 doi:10.3174/ajnr.A1377 pmid:19056837
    Abstract/FREE Full Text
  14. 14.↵
    1. Hu LS,
    2. Eschbacher JM,
    3. Heiserman JE, et al
    . Reevaluating the imaging definition of tumor progression: perfusion MRI quantifies recurrent glioblastoma tumor fraction, pseudoprogression, and radiation necrosis to predict survival. Neuro Oncol 2012;14:919–30 doi:10.1093/neuonc/nos112 pmid:22561797
    CrossRefPubMed
  15. 15.↵
    1. LaViolette PS,
    2. Mickevicius NJ,
    3. Cochran EJ, et al
    . Precise ex vivo histological validation of heightened cellularity and diffusion-restricted necrosis in regions of dark apparent diffusion coefficient in 7 cases of high-grade glioma. Neuro Oncol 2014;16:1599–1606 doi:10.1093/neuonc/nou142 pmid:25059209
    CrossRefPubMed
  16. 16.↵
    1. Chang PD,
    2. Malone HR,
    3. Bowden SG, et al
    . A multiparametric model for mapping cellularity in glioblastoma using radiographically localized biopsies. AJNR Am J Neuroradiol 2017;38:890–98 doi:10.3174/ajnr.A5112 pmid:28255030
    Abstract/FREE Full Text
  17. 17.↵
    1. Eidel O,
    2. Neumann JO,
    3. Burth S, et al
    . Automatic analysis of cellularity in glioblastoma and correlation with ADC using trajectory analysis and automatic nuclei counting. PLoS One 2016;11:e0160250 doi:10.1371/journal.pone.0160250 pmid:27467557
    CrossRefPubMed
  18. 18.↵
    1. Barajas RF Jr.,
    2. Phillips JJ,
    3. Parvataneni R, et al
    . Regional variation in histopathologic features of tumor specimens from treatment-naive glioblastoma correlates with anatomic and physiologic MR imaging. Neuro Oncol 2012;14:942–54 doi:10.1093/neuonc/nos128 pmid:22711606
    CrossRefPubMed
  19. 19.↵
    1. Sadeghi N,
    2. D'Haene N,
    3. Decaestecker C, et al
    . Apparent diffusion coefficient and cerebral blood volume in brain gliomas: relation to tumor cell density and tumor microvessel density based on stereotactic biopsies. AJNR Am J Neuroradiol 2008;29:476–82 doi:10.3174/ajnr.A0851 pmid:18079184
    Abstract/FREE Full Text
  20. 20.↵
    1. Price SJ,
    2. Green HA,
    3. Dean AF, et al
    . Correlation of MR relative cerebral blood volume measurements with cellular density and proliferation in high-grade gliomas: an image-guided biopsy study. AJNR Am J Neuroradiol 2011;32:501–06 doi:10.3174/ajnr.A2312 pmid:21163880
    Abstract/FREE Full Text
  21. 21.↵
    1. Beppu T,
    2. Inoue T,
    3. Shibata Y, et al
    . Fractional anisotropy value by diffusion tensor magnetic resonance imaging as a predictor of cell density and proliferation activity of glioblastomas. Surg Neurol 2005;63:56–61; discussion 61 doi:10.1016/j.surneu.2004.02.034 pmid:15639528
    CrossRefPubMedWeb of Science
  22. 22.↵
    1. Durst CR,
    2. Raghavan P,
    3. Shaffrey ME, et al
    . Multimodal MR imaging model to predict tumor infiltration in patients with gliomas. Neuroradiology 2014;56:107–15 doi:10.1007/s00234-013-1308-9 pmid:24337609
    CrossRefPubMed
  23. 23.↵
    1. Semmineh NB,
    2. Xu J,
    3. Skinner JT, et al
    . Assessing tumor cytoarchitecture using multiecho DSC-MRI derived measures of the transverse relaxivity at tracer equilibrium (TRATE). Magn Reson Med 2015;74:772–84 doi:10.1002/mrm.25435 pmid:25227668
    CrossRefPubMed
  24. 24.↵
    1. Lowekamp BC,
    2. Chen DT,
    3. Ibáñez L, et al
    . The design of simple eITK. Front Neuroinform 2013;7:45 doi:10.3389/fninf.2013.00045
    CrossRef
  25. 25.↵
    1. Sethian JA
    . Level Set Methods and Fast Marching Methods: Evolving Interfaces in Computational Geometry, Fluid Mechanics, Computer Vision, and Materials Science. New York: Cambridge University Press, 1999
  26. 26.↵
    1. Tustison NJ,
    2. Avants BB,
    3. Cook PA, et al
    . N4ITK: improved N3 bias correction. IEEE Trans Med Imaging 2010;29:1310–20 doi:10.1109/TMI.2010.2046908 pmid:20378467
    CrossRefPubMedWeb of Science
  27. 27.↵
    1. Mitchell JR,
    2. Jones C,
    3. Karlik SJ, et al
    . MR multispectral analysis of multiple sclerosis lesions. J Magn Reson Imaging 1997; 7:499–511 doi:10.1002/jmri.1880070309 pmid:9170034
    CrossRefPubMedWeb of Science
  28. 28.↵
    1. Hu LS,
    2. Kelm Z,
    3. Korfiatis P, et al
    . Impact of software modeling on the accuracy of perfusion MRI in glioma. AJNR Am J Neuroradiol 2015;36:2242–49 doi:10.3174/ajnr.A4451 pmid:26359151
    Abstract/FREE Full Text
  29. 29.↵
    1. Boxerman JL,
    2. Schmainda KM,
    3. Weisskoff RM
    . Relative cerebral blood volume maps corrected for contrast agent extravasation significantly correlate with glioma tumor grade, whereas uncorrected maps do not. AJNR Am J Neuroradiol 2006;27:859–67 pmid:16611779
    Abstract/FREE Full Text
  30. 30.↵
    1. Benjamini Y,
    2. Hochberg Y
    . Controlling the false discovery rate: a practical and powerful approach to multiple testing. Journal of the Royal Statistical Society Series B (Methodological) 1995;57:289–300 doi:10.1111/j.2517-6161.1995.tb02031.x
    CrossRef
  31. 31.↵
    1. Weiss K,
    2. Khoshgoftaar TM,
    3. Wang D
    . A survey of transfer learning. J Big Data 2016;3:9
  32. 32.↵
    1. Pan SJ,
    2. Yang Q
    . A survey on transfer learning. IEEE Trans Knowl Data Eng 2009;22:1345–59
  33. 33.↵
    1. Zou N,
    2. Baydogan M,
    3. Zhu Y, et al
    . A transfer learning approach for predictive modeling of degenerate biological systems. Technometrics 2015;57:362–73 doi:10.1080/00401706.2015.1044117 pmid:27330227
    CrossRefPubMed
  34. 34.↵
    1. Brown R,
    2. Zlatescu M,
    3. Sijben A, et al
    . The use of magnetic resonance imaging to noninvasively detect genetic signatures in oligodendroglioma. Clin Cancer Res 2008;14:2357–62 doi:10.1158/1078-0432.CCR-07-1964 pmid:18413825
    Abstract/FREE Full Text
  35. 35.↵
    1. Dalrymple SJ,
    2. Parisi JE,
    3. Roche PC, et al
    . Changes in proliferating cell nuclear antigen expression in glioblastoma multiforme cells along a stereotactic biopsy trajectory. Neurosurgery 1994;35:1036–44; discussion 1044–55 doi:10.1227/00006123-199412000-00004 pmid:7885547
    CrossRefPubMedWeb of Science
PreviousNext
Back to top

In this issue

American Journal of Neuroradiology: 40 (3)
American Journal of Neuroradiology
Vol. 40, Issue 3
1 Mar 2019
  • Table of Contents
  • Index by author
  • Complete Issue (PDF)
Advertisement
Print
Download PDF
Email Article

Thank you for your interest in spreading the word on American Journal of Neuroradiology.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Accurate Patient-Specific Machine Learning Models of Glioblastoma Invasion Using Transfer Learning
(Your Name) has sent you a message from American Journal of Neuroradiology
(Your Name) thought you would like to see the American Journal of Neuroradiology web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Cite this article
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
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

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
0 Responses
Respond to this article
Share
Bookmark this article
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
American Journal of Neuroradiology Mar 2019, 40 (3) 418-425; DOI: 10.3174/ajnr.A5981
del.icio.us logo Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One
Purchase

Jump to section

  • Article
    • Abstract
    • ABBREVIATIONS:
    • Materials and Methods
    • Results
    • Discussion
    • Conclusions
    • Footnotes
    • References
  • Figures & Data
  • Supplemental
  • Info & Metrics
  • Responses
  • References
  • PDF

Related Articles

  • PubMed
  • Google Scholar

Cited By...

  • Image-based models of T-cell distribution identify a clinically meaningful response to a dendritic cell vaccine in patients with glioblastoma
  • Image-localized biopsy mapping of brain tumor heterogeneity: A single-center study protocol
  • Glioblastoma states are defined by cohabitating cellular populations with progression-, imaging- and sex-distinct patterns
  • Radio-pathomic maps of cell density identify glioma invasion beyond traditional MR imaging defined margins
  • Crossref (8)
  • Google Scholar

This article has been cited by the following articles in journals that are participating in Crossref Cited-by Linking.

  • Deep Neural Network for Respiratory Sound Classification in Wearable Devices Enabled by Patient Specific Model Tuning
    Jyotibdha Acharya, Arindam Basu
    IEEE Transactions on Biomedical Circuits and Systems 2020
  • Applications of Artificial Intelligence Based on Medical Imaging in Glioma: Current State and Future Challenges
    Jiaona Xu, Yuting Meng, Kefan Qiu, Win Topatana, Shijie Li, Chao Wei, Tianwen Chen, Mingyu Chen, Zhongxiang Ding, Guozhong Niu
    Frontiers in Oncology 2022 12
  • Machine learning approach for obstructive sleep apnea screening using brain diffusion tensor imaging
    Bo Pang, Suraj Doshi, Bhaswati Roy, Milena Lai, Luke Ehlert, Ravi S. Aysola, Daniel W. Kang, Ariana Anderson, Shantanu H. Joshi, Daniel Tward, Fabien Scalzo, Susana Vacas, Rajesh Kumar
    Journal of Sleep Research 2023 32 1
  • A Calibrated Ensemble Algorithm to Address Data Heterogeneity in Machine Learning: An Application to Identify Severe SLE Flares in Lupus Patients
    Yijun Zhao, Man Qin, April Jorge
    IEEE Access 2022 10
  • Weakly-Supervised Transfer Learning With Application in Precision Medicine
    Lingchao Mao, Lujia Wang, Leland S. Hu, Jenny M. Eschbacher, Gustavo De Leon, Kyle W. Singleton, Lee A. Curtin, Javier Urcuyo, Chris Sereduk, Nhan L. Tran, Andrea Hawkins-Daarud, Kristin R. Swanson, Jing Li
    IEEE Transactions on Automation Science and Engineering 2024 21 4
  • Computational Neurosurgery
    Santiago Cepeda
    2024 1462
  • Knowledge-Informed Machine Learning for Cancer Diagnosis and Prognosis: A Review
    Lingchao Mao, Hairong Wang, Leland S. Hu, Nhan L. Tran, Peter D. Canoll, Kristin R. Swanson, Jing Li
    IEEE Transactions on Automation Science and Engineering 2025 22
  • Simulation and Synthesis in Medical Imaging
    Pamela R. Jackson, Andrea Hawkins-Daarud, Kristin R. Swanson
    2020 12417

More in this TOC Section

Adult Brain

  • Diagnostic Neuroradiology of Monoclonal Antibodies
  • Cerebral ADC Changes in Fabry Disease
  • ML for Glioma Molecular Subtype Prediction
Show more Adult Brain

Functional

  • Kurtosis and Epileptogenic Tubers: A Pilot Study
  • Glutaric Aciduria Type 1: DK vs. Conventional MRI
  • Brain Iron in Niemann-Pick Type C: 7T Study
Show more Functional

Similar Articles

Advertisement

Indexed Content

  • Current Issue
  • Accepted Manuscripts
  • Article Preview
  • Past Issues
  • Editorials
  • Editor's Choice
  • Fellows' Journal Club
  • Letters to the Editor
  • Video Articles

Cases

  • Case Collection
  • Archive - Case of the Week
  • Archive - Case of the Month
  • Archive - Classic Case

More from AJNR

  • Trainee Corner
  • Imaging Protocols
  • MRI Safety Corner

Multimedia

  • AJNR Podcasts
  • AJNR Scantastics

Resources

  • Turnaround Time
  • Submit a Manuscript
  • Submit a Video Article
  • Submit an eLetter to the Editor/Response
  • Manuscript Submission Guidelines
  • Statistical Tips
  • Fast Publishing of Accepted Manuscripts
  • Graphical Abstract Preparation
  • Imaging Protocol Submission
  • Evidence-Based Medicine Level Guide
  • Publishing Checklists
  • Author Policies
  • Become a Reviewer/Academy of Reviewers
  • News and Updates

About Us

  • About AJNR
  • Editorial Board
  • Editorial Board Alumni
  • Alerts
  • Permissions
  • Not an AJNR Subscriber? Join Now
  • Advertise with Us
  • Librarian Resources
  • Feedback
  • Terms and Conditions
  • AJNR Editorial Board Alumni

American Society of Neuroradiology

  • Not an ASNR Member? Join Now

© 2025 by the American Society of Neuroradiology All rights, including for text and data mining, AI training, and similar technologies, are reserved.
Print ISSN: 0195-6108 Online ISSN: 1936-959X

Powered by HighWire