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

Imaging-Based Algorithm for the Local Grading of Glioma

E.D.H. Gates, J.S. Lin, J.S. Weinberg, S.S. Prabhu, J. Hamilton, J.D. Hazle, G.N. Fuller, V. Baladandayuthapani, D.T. Fuentes and D. Schellingerhout
American Journal of Neuroradiology March 2020, 41 (3) 400-407; DOI: https://doi.org/10.3174/ajnr.A6405
E.D.H. Gates
aFrom the Departments of Imaging Physics (E.D.H.G., J.S.L., J.D.H., D.T.F.), Neurosurgery (J.S.W., S.S.P.), Pathology (G.N.F.), Neuroradiology (D.S.), and Cancer Systems Imaging (D.S.), University of Texas MD Anderson Cancer Center, Houston, Texas
bUniversity of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences (E.D.H.G.), Houston, Texas
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for E.D.H. Gates
J.S. Lin
aFrom the Departments of Imaging Physics (E.D.H.G., J.S.L., J.D.H., D.T.F.), Neurosurgery (J.S.W., S.S.P.), Pathology (G.N.F.), Neuroradiology (D.S.), and Cancer Systems Imaging (D.S.), University of Texas MD Anderson Cancer Center, Houston, Texas
cBaylor College of Medicine (J.S.L.), Houston, Texas
dDepartment of Bioengineering (J.S.L.), Rice University, Houston, Texas
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for J.S. Lin
J.S. Weinberg
aFrom the Departments of Imaging Physics (E.D.H.G., J.S.L., J.D.H., D.T.F.), Neurosurgery (J.S.W., S.S.P.), Pathology (G.N.F.), Neuroradiology (D.S.), and Cancer Systems Imaging (D.S.), University of Texas MD Anderson Cancer Center, Houston, Texas
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for J.S. Weinberg
S.S. Prabhu
aFrom the Departments of Imaging Physics (E.D.H.G., J.S.L., J.D.H., D.T.F.), Neurosurgery (J.S.W., S.S.P.), Pathology (G.N.F.), Neuroradiology (D.S.), and Cancer Systems Imaging (D.S.), University of Texas MD Anderson Cancer Center, Houston, Texas
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for S.S. Prabhu
J. Hamilton
eRadiology Partners (J.H.), Houston, Texas
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for J. Hamilton
J.D. Hazle
aFrom the Departments of Imaging Physics (E.D.H.G., J.S.L., J.D.H., D.T.F.), Neurosurgery (J.S.W., S.S.P.), Pathology (G.N.F.), Neuroradiology (D.S.), and Cancer Systems Imaging (D.S.), University of Texas MD Anderson Cancer Center, Houston, Texas
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for J.D. Hazle
G.N. Fuller
aFrom the Departments of Imaging Physics (E.D.H.G., J.S.L., J.D.H., D.T.F.), Neurosurgery (J.S.W., S.S.P.), Pathology (G.N.F.), Neuroradiology (D.S.), and Cancer Systems Imaging (D.S.), University of Texas MD Anderson Cancer Center, Houston, Texas
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for G.N. Fuller
V. Baladandayuthapani
fDepartment of Computational Medicine and Bioinformatics (V.B.), University of Michigan School of Public Health, Ann Arbor, Michigan.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for V. Baladandayuthapani
D.T. Fuentes
aFrom the Departments of Imaging Physics (E.D.H.G., J.S.L., J.D.H., D.T.F.), Neurosurgery (J.S.W., S.S.P.), Pathology (G.N.F.), Neuroradiology (D.S.), and Cancer Systems Imaging (D.S.), University of Texas MD Anderson Cancer Center, Houston, Texas
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for D.T. Fuentes
D. Schellingerhout
aFrom the Departments of Imaging Physics (E.D.H.G., J.S.L., J.D.H., D.T.F.), Neurosurgery (J.S.W., S.S.P.), Pathology (G.N.F.), Neuroradiology (D.S.), and Cancer Systems Imaging (D.S.), University of Texas MD Anderson Cancer Center, Houston, Texas
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for D. Schellingerhout
  • Article
  • Figures & Data
  • Supplemental
  • Info & Metrics
  • Responses
  • References
  • PDF
Loading

References

  1. 1.↵
    1. Louis DN,
    2. Perry A,
    3. Reifenberger G, et al
    . The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary. Acta Neuropathol 2016;131:803–20 doi:10.1007/s00401-016-1545-1 pmid:27157931
    CrossRefPubMed
  2. 2.↵
    1. Stupp R,
    2. Mason WP,
    3. Van Den Bent MJ, et al
    ; National Cancer Institute of Canada Clinical Trials Group. Radiotherapy plus concomitant and adjuvant temozolomide for glioblastoma. N Engl J Med 2005;352:987–96 doi:10.1056/NEJMoa043330 pmid:15758009
    CrossRefPubMedWeb of Science
  3. 3.↵
    1. Okamoto Y,
    2. Di Patre PL,
    3. Burkhard C, et al
    . Population-based study on incidence, survival rates, and genetic alterations of low-grade diffuse astrocytomas and oligodendrogliomas. Acta Neuropathol 2004;108:49–56 doi:10.1007/s00401-004-0861-z pmid:15118874
    CrossRefPubMedWeb of Science
  4. 4.↵
    1. Ohgaki H,
    2. Kleihues P
    . Epidemiology and etiology of gliomas. Acta Neuropathol 2005;109:93–108 doi:10.1007/s00401-005-0991-y pmid:15685439
    CrossRefPubMedWeb of Science
  5. 5.↵
    1. Parker NR,
    2. Khong P,
    3. Parkinson JF, et al
    . Molecular heterogeneity in glioblastoma: potential clinical implications. Front Oncol 2015;5:55 doi:10.3389/fonc.2015.00055 pmid:25785247
    CrossRefPubMed
  6. 6.↵
    1. Aum DJ,
    2. Kim DH,
    3. Beaumont TL, et al
    . Molecular and cellular heterogeneity: the hallmark of glioblastoma. Neurosurg Focus 2014;37:E11 doi:10.3171/2014.9.FOCUS14521 pmid:25434380
    CrossRefPubMed
  7. 7.↵
    1. Jackson RJ,
    2. Fuller GN,
    3. Abi-Said D, et al
    . Limitations of stereotactic biopsy in the initial management of gliomas. Neuro Oncol 2001;3:193–200 doi:10.1093/neuonc/3.3.193 pmid:11465400
    CrossRefPubMedWeb of Science
  8. 8.↵
    1. Gates EDH,
    2. Lin JS,
    3. Weinberg JS, et al
    . Guiding the first biopsy in glioma patients using estimated Ki67 maps derived from magnetic resonance imaging: conventional versus advanced imaging. Neuro Oncol 2019;21:527–36 doi:10.1093/neuonc/noz004
    CrossRef
  9. 9.↵
    1. Ringel F,
    2. Ingerl D,
    3. Ott S, et al
    . VarioGuide: a new frameless image‐guided stereotactic system: accuracy study and clinical assessment. Oper Neurosurg 2009;64:(5 Suppl 2):365–71 doi:10.1227/01.NEU.0000341532.15867.1C pmid:19404116
    CrossRefPubMed
  10. 10.↵
    1. Avants BB,
    2. Tustison NJ,
    3. Song G, et al
    . A reproducible evaluation of ANTs similarity metric performance in brain image registration. Neuroimage 2011;54:2033–44 doi:10.1016/j.neuroimage.2010.09.025 pmid:20851191
    CrossRefPubMedWeb of Science
  11. 11.↵
    1. Leung KK,
    2. Clarkson MJ,
    3. Bartlett JW, et al; ; Alzheimer’s Disease Neuroimaging Initiative
    . Robust atrophy rate measurement in Alzheimer’s disease using multi-site serial MRI: tissue-specific intensity normalization and parameter selection. Neuroimage 2010;50:516–23 doi:10.1016/j.neuroimage.2009.12.059 pmid:20034579
    CrossRefPubMed
  12. 12.↵
    R Core Team. R: A Language and Environment for Statistical Computing. Vienna: R Foundation for Statistical Computing; 2019 https://www.R-project.org/
  13. 13.↵
    1. Breiman L
    . Random forests. Mach Learn 2001;45:5–32 doi:10.1023/A:1010933404324
    CrossRefPubMedWeb of Science
  14. 14.↵
    1. Cohen J
    . A coefficient of agreement for nominal scales. Educational and Psychological Measurement 1960;20:37–46 doi:10.1177/001316446002000104
    CrossRefWeb of Science
  15. 15.↵
    1. Pedeutour-Braccini Z,
    2. Burel-Vandenbos F,
    3. Gozé C, et al
    . Microfoci of malignant progression in diffuse low-grade gliomas: towards the creation of an intermediate grade in glioma classification? Virchows Arch 2015;466:433–44 doi:10.1007/s00428-014-1712-5 pmid:25861023
    CrossRefPubMed
  16. 16.↵
    1. Zhao M,
    2. Guo LL,
    3. Huang N, et al
    . Quantitative analysis of permeability for glioma grading using dynamic contrast enhanced magnetic resonance imaging. Oncol Lett 2017;14:5418–26 doi:10.3892/ol.2017.6895 pmid:29113174
    CrossRefPubMed
  17. 17.↵
    1. Prah MA,
    2. Al-Gizawiy MM,
    3. Mueller WM, et al
    . Spatial discrimination of glioblastoma and treatment effect with histologically-validated perfusion and diffusion magnetic resonance imaging metrics. J Neurooncol 2018;136:13–21 doi:10.1007/s11060-017-2617-3 pmid:28900832
    CrossRefPubMed
  18. 18.↵
    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
  19. 19.↵
    1. Law M,
    2. Yang S,
    3. Wang H, et al
    . Glioma grading: sensitivity, specificity, and predictive values of perfusion MR imaging and proton MR spectroscopic imaging compared with conventional MR imaging. AJNR Am J Neuroradiol 2003;24:1989–98 pmid:14625221
    Abstract/FREE Full Text
  20. 20.↵
    1. Akbari H,
    2. Macyszyn L,
    3. Da X, et al
    . Imaging surrogates of infiltration obtained via multiparametric imaging pattern analysis predict subsequent location of recurrence of glioblastoma. Neurosurg 2016;78:572–80 doi:10.1227/NEU.0000000000001202 pmid:26813856
    CrossRefPubMed
  21. 21.↵
    1. Miloushev VZ,
    2. Chow DS,
    3. Filippi CG
    . Meta-analysis of diffusion metrics for the prediction of tumor grade in gliomas. AJNR Am J Neuroradiol 2015;36:302–08 doi:10.3174/ajnr.A4097 pmid:25190201
    Abstract/FREE Full Text
  22. 22.↵
    1. Jakab A,
    2. Molnár P,
    3. Emri M, et al
    . Glioma grade assessment by using histogram analysis of diffusion tensor imaging-derived maps. Neuroradiology 2011;53:483–91 doi:10.1007/s00234-010-0769-3 pmid:20857285
    CrossRefPubMedWeb of Science
  23. 23.↵
    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
  24. 24.↵
    1. Zhang X,
    2. Yan LF,
    3. Hu YC, et al
    . Optimizing a machine learning based glioma grading system using multi-parametric MRI histogram and texture features. Oncotarget 2017;8:47816–30 doi:10.18632/oncotarget.18001 pmid:28599282
    CrossRefPubMed
  25. 25.↵
    1. Chang K,
    2. Bai HX,
    3. Zhou H, et al
    . Residual convolutional neural network for the determination of IDH status in low- and high-grade gliomas from MR imaging. Clin Cancer Res 2018;24:1073–81 doi:10.1158/1078-0432.CCR-17-2236 pmid:29167275
    Abstract/FREE Full Text
  26. 26.↵
    1. Law M,
    2. Yang S,
    3. Babb JS, et al
    . Comparison of cerebral blood volume and vascular permeability from dynamic susceptibility contrast-enhanced perfusion MR imaging with glioma grade. AJNR Am J Neuroradiol 2004;25:746–55 pmid:15140713
    Abstract/FREE Full Text
  27. 27.↵
    1. Sugahara T,
    2. Korogi Y,
    3. Kochi M, et al
    . Usefulness of diffusion-weighted MRI with echo-planar technique in the evaluation of cellularity in gliomas. J Magn Reson Imaging 1999;9:53–60 doi:10.1002/(SICI)1522-2586(199901)9:1<53::AID-JMRI7>3.0.CO;2-2 pmid:10030650
    CrossRefPubMedWeb of Science
  28. 28.↵
    1. Lee S,
    2. Choi SH,
    3. Ryoo I, et al
    . Evaluation of the microenvironmental heterogeneity in high-grade gliomas with IDH1/2 gene mutation using histogram analysis of diffusion-weighted imaging and dynamic-susceptibility contrast perfusion imaging. J Neurooncol 2015;121:141–50 doi:10.1007/s11060-014-1614-z pmid:25205290
    CrossRefPubMed
  29. 29.↵
    1. Yan H,
    2. Parsons DW,
    3. Jin G, et al
    . IDH1 and IDH2 mutations in gliomas. N Engl J Med 2009;360:765–73 doi:10.1056/NEJMoa0808710 pmid:19228619
    CrossRefPubMedWeb of Science
  30. 30.↵
    1. Noguchi T,
    2. Yoshiura T,
    3. Hiwatashi A, et al
    . Perfusion imaging of brain tumors using arterial spin-labeling: correlation with histopathologic vascular density. AJNR Am J Neuroradiol 2008;29:688–93 doi:10.3174/ajnr.A0903 pmid:18184842
    Abstract/FREE Full Text
  31. 31.↵
    1. Hartmann C,
    2. Hentschel B,
    3. Wick W, et al
    . Patients with IDH1 wild type anaplastic astrocytomas exhibit worse prognosis than IDH1-mutated glioblastomas, and IDH1 mutation status accounts for the unfavorable prognostic effect of higher age: implications for classification of gliomas. Acta Neuropathol 2010;120:707–18 doi:10.1007/s00401-010-0781-z pmid:21088844
    CrossRefPubMedWeb of Science
  32. 32.↵
    1. Shah V,
    2. Turkbey B,
    3. Mani H, et al
    . Decision support system for localizing prostate cancer based on multiparametric magnetic resonance imaging. Med Phys 2012;39:4093–103 doi:10.1118/1.4722753 pmid:22830742
    CrossRefPubMed
  33. 33.↵
    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
  34. 34.↵
    1. Lemee JM,
    2. Clavreul A,
    3. Menei P
    . Intratumoral heterogeneity in glioblastoma: don’t forget the peritumoral brain zone. Neuro Oncol 2015;17:1322–32 doi:10.1093/neuonc/nov119 pmid:26203067
    CrossRefPubMed
PreviousNext
Back to top

In this issue

American Journal of Neuroradiology: 41 (3)
American Journal of Neuroradiology
Vol. 41, Issue 3
1 Mar 2020
  • 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.
Imaging-Based Algorithm for the Local Grading of Glioma
(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
E.D.H. Gates, J.S. Lin, J.S. Weinberg, S.S. Prabhu, J. Hamilton, J.D. Hazle, G.N. Fuller, V. Baladandayuthapani, D.T. Fuentes, D. Schellingerhout
Imaging-Based Algorithm for the Local Grading of Glioma
American Journal of Neuroradiology Mar 2020, 41 (3) 400-407; DOI: 10.3174/ajnr.A6405

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
Imaging-Based Algorithm for the Local Grading of Glioma
E.D.H. Gates, J.S. Lin, J.S. Weinberg, S.S. Prabhu, J. Hamilton, J.D. Hazle, G.N. Fuller, V. Baladandayuthapani, D.T. Fuentes, D. Schellingerhout
American Journal of Neuroradiology Mar 2020, 41 (3) 400-407; DOI: 10.3174/ajnr.A6405
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...

  • Estimating Local Cellular Density in Glioma Using MR Imaging Data
  • Crossref
  • Google Scholar

This article has not yet been cited by articles in journals that are participating in Crossref Cited-by Linking.

More in this TOC Section

  • Diagnostic Neuroradiology of Monoclonal Antibodies
  • Clinical Outcomes After Chiari I Decompression
  • Segmentation of Brain Metastases with BLAST
Show more Adult Brain

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
  • Book Reviews

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