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 ArticleBrain Tumor Imaging

Ten Years of VASARI Glioma Features: Systematic Review and Meta-Analysis of Their Impact and Performance

Aynur Azizova, Yeva Prysiazhniuk, Ivar J.H.G. Wamelink, Jan Petr, Frederik Barkhof and Vera C. Keil
American Journal of Neuroradiology August 2024, 45 (8) 1053-1062; DOI: https://doi.org/10.3174/ajnr.A8274
Aynur Azizova
aFrom the Radiology and Nuclear Medicine Department (A.A., I.J.H.G.W., J.P., F.B., V.C.K.), Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
bImaging and Biomarkers (A.A., I.J.H.G.W., V.C.K.), Cancer Center Amsterdam, Amsterdam, the Netherlands
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Aynur Azizova
Yeva Prysiazhniuk
cThe Second Faculty of Medicine (Y.P.), Department of Pathophysiology, Charles University, Prague, Czech Republic
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Yeva Prysiazhniuk
Ivar J.H.G. Wamelink
aFrom the Radiology and Nuclear Medicine Department (A.A., I.J.H.G.W., J.P., F.B., V.C.K.), Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
bImaging and Biomarkers (A.A., I.J.H.G.W., V.C.K.), Cancer Center Amsterdam, Amsterdam, the Netherlands
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jan Petr
aFrom the Radiology and Nuclear Medicine Department (A.A., I.J.H.G.W., J.P., F.B., V.C.K.), Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
dInstitute of Radiopharmaceutical Cancer Research (J.P.), Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Jan Petr
Frederik Barkhof
aFrom the Radiology and Nuclear Medicine Department (A.A., I.J.H.G.W., J.P., F.B., V.C.K.), Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
eBrain Imaging (F.B., V.C.K.), Amsterdam Neuroscience, Amsterdam, the Netherlands
fQueen Square Institute of Neurology and Center for Medical Image Computing (F.B.), University College London, London, United Kingdom
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Vera C. Keil
aFrom the Radiology and Nuclear Medicine Department (A.A., I.J.H.G.W., J.P., F.B., V.C.K.), Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
bImaging and Biomarkers (A.A., I.J.H.G.W., V.C.K.), Cancer Center Amsterdam, Amsterdam, the Netherlands
eBrain Imaging (F.B., V.C.K.), Amsterdam Neuroscience, Amsterdam, the Netherlands
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Info & Metrics
  • Responses
  • References
  • PDF
Loading

References

  1. 1.↵
    1. Ellingson BM,
    2. Bendszus M,
    3. Boxerman J, et al
    . Consensus recommendations for a standardized brain tumor imaging protocol in clinical trials. Neuro Oncol 2015;17:1188–98 doi:10.1093/neuonc/nov095
    CrossRefPubMed
  2. 2.↵
    1. Wen PY,
    2. van den Bent M,
    3. Youssef G, et al
    . RANO 2.0: update to the Response Assessment in Neuro-Oncology criteria for high- and low-grade gliomas in adults. J Clin Oncol 2023;41:5187–99 doi:10.1200/JCO.23.01059 pmid:37774317
    CrossRefPubMed
  3. 3.↵
    The Cancer Imaging Archive. VASARI Research Project. https://wiki.cancerimagingarchive.net/display/Public/VASARI+Research+Project. Accessed September 26, 2023
  4. 4.↵
    1. Mazurowski MA,
    2. Desjardins A,
    3. Malof JM
    . Imaging descriptors improve the predictive power of survival models for glioblastoma patients. Neuro Oncol 2013;15:1389–94 doi:10.1093/neuonc/nos335 pmid:23396489
    CrossRefPubMed
  5. 5.↵
    1. Gutman DA,
    2. Cooper LA,
    3. Hwang SN, et al
    . MR imaging predictors of molecular profile and survival: multi-institutional study of the TCGA glioblastoma data set. Radiology 2013;267:560–69 doi:10.1148/radiol.13120118 pmid:23392431
    CrossRefPubMedWeb of Science
  6. 6.↵
    1. Agarwal A,
    2. Kumar S,
    3. Narang J, et al
    . Morphologic MRI features, diffusion tensor imaging and radiation dosimetric analysis to differentiate pseudo-progression from early tumor progression. J Neurooncol 2013;112:413–20 doi:10.1007/s11060-013-1070-1 pmid:23417357
    CrossRefPubMed
  7. 7.↵
    1. Jain R,
    2. Poisson LM,
    3. Gutman D, et al
    . Outcome prediction in patients with glioblastoma by using imaging, clinical, and genomic biomarkers: focus on the nonenhancing component of the tumor. Radiology 2014;272:484–93 doi:10.1148/radiol.14131691 pmid:24646147
    CrossRefPubMed
  8. 8.↵
    1. Colen RR,
    2. Vangel M,
    3. Wang J, et al
    ; TCGA Glioma Phenotype Research Group. Imaging genomic mapping of an invasive MRI phenotype predicts patient outcome and metabolic dysfunction: a TCGA glioma phenotype research group project. BMC Med Genomics 2014;7:30 doi:10.1186/1755-8794-7-30 pmid:24889866
    CrossRefPubMed
  9. 9.↵
    1. Nicolasjilwan M,
    2. Hu Y,
    3. Yan C, et al
    ; TCGA Glioma Phenotype Research Group. Addition of MR imaging features and genetic biomarkers strengthens glioblastoma survival prediction in TCGA patients. J Neuroradiol 2015;42:212–21 doi:10.1016/j.neurad.2014.02.006 pmid:24997477
    CrossRefPubMed
  10. 10.↵
    1. Wangaryattawanich P,
    2. Hatami M,
    3. Wang J, et al
    . Multicenter imaging outcomes study of The Cancer Genome Atlas glioblastoma patient cohort: imaging predictors of overall and progression-free survival. Neuro Oncol 2015;17:1525–37 doi:10.1093/neuonc/nov117 pmid:26203066
    CrossRefPubMed
  11. 11.↵
    1. Rao A,
    2. Rao G,
    3. Gutman DA, et al
    ; TCGA Glioma Phenotype Research Group. A combinatorial radiographic phenotype may stratify patient survival and be associated with invasion and proliferation characteristics in glioblastoma. J Neurosurg 2016;124:1008–17 doi:10.3171/2015.4.JNS142732 pmid:26473782
    CrossRefPubMed
  12. 12.↵
    1. Yu J,
    2. Wang M,
    3. Song J, et al
    . Potential utility of Visually AcceSAble Rembrandt Images assessment in brain astrocytoma grading. J Comput Assist Tomogr 2016;40:301–06 doi:10.1097/RCT.0000000000000352 pmid:26978002
    CrossRefPubMed
  13. 13.↵
    1. Zhou H,
    2. Vallières M,
    3. Bai HX, et al
    . MRI features predict survival and molecular markers in diffuse lower-grade gliomas. Neuro Oncol 2017;19:862–70 doi:10.1093/neuonc/now256 pmid:28339588
    CrossRefPubMed
  14. 14.↵
    1. Lasocki A,
    2. Tsui A,
    3. Gaillard F, et al
    . Reliability of noncontrast-enhancing tumor as a biomarker of IDH1 mutation status in glioblastoma. J Clin Neurosci 2017;39:170–75 doi:10.1016/j.jocn.2017.01.007 pmid:28214089
    CrossRefPubMed
  15. 15.↵
    1. Park M,
    2. Lee SK,
    3. Chang JH, et al
    . Elderly patients with newly diagnosed glioblastoma: can preoperative imaging descriptors improve the predictive power of a survival model? J Neurooncol 2017;134:423–31 doi:10.1007/s11060-017-2544-3 pmid:28674975
    CrossRefPubMed
  16. 16.↵
    1. Ersoy TF,
    2. Keil VC,
    3. Hadizadeh DR, et al
    . New prognostic factor telomerase reverse transcriptase promotor mutation presents without MR imaging biomarkers in primary glioblastoma. Neuroradiology 2017;59:1223–31 doi:10.1007/s00234-017-1920-1 pmid:28894890
    CrossRefPubMed
  17. 17.↵
    1. Park YW,
    2. Han K,
    3. Ahn SS, et al
    . Prediction of IDH1-mutation and 1p/19q-codeletion status using preoperative MR imaging phenotypes in lower grade gliomas. AJNR Am J Neuroradiol 2018;39:37–42 doi:10.3174/ajnr.A5421 pmid:29122763
    Abstract/FREE Full Text
  18. 18.↵
    1. Peeken JC,
    2. Hesse J,
    3. Haller B, et al
    . Semantic imaging features predict disease progression and survival in glioblastoma multiforme patients. Strahlenther Onkol 2018;194:580–90 doi:10.1007/s00066-018-1276-4 pmid:29442128
    CrossRefPubMed
  19. 19.↵
    1. Su CQ,
    2. Lu SS,
    3. Han QY, et al
    . Intergrating conventional MRI, texture analysis of dynamic contrast-enhanced MRI, and susceptibility weighted imaging for glioma grading. Acta Radiol 2019;60:777–87 doi:10.1177/0284185118801127 pmid:30244590
    CrossRefPubMed
  20. 20.↵
    1. Su CQ,
    2. Lu SS,
    3. Zhou MD, et al
    . Combined texture analysis of diffusion-weighted imaging with conventional MRI for non-invasive assessment of IDH1 mutation in anaplastic gliomas. Clin Radiol 2019;74:154–60 doi:10.1016/j.crad.2018.10.002 pmid:30391048
    CrossRefPubMed
  21. 21.↵
    1. Peeken JC,
    2. Goldberg T,
    3. Pyka T, et al
    . Combining multimodal imaging and treatment features improves machine learning-based prognostic assessment in patients with glioblastoma multiforme. Cancer Med 2019;8:128–36 doi:10.1002/cam4.1908 pmid:30561851
    CrossRefPubMed
  22. 22.↵
    1. Lee M,
    2. Han K,
    3. Ahn SS, et al
    . The added prognostic value of radiological phenotype combined with clinical features and molecular subtype in anaplastic gliomas. J Neurooncol 2019;142:129–38 doi:10.1007/s11060-018-03072-0 pmid:30604396
    CrossRefPubMed
  23. 23.↵
    1. Ivanidze J,
    2. Lum M,
    3. Pisapia D, et al
    . MRI features associated with TERT promoter mutation status in glioblastoma. J Neuroimaging 2019;29:357–63 doi:10.1111/jon.12596 pmid:30644143
    CrossRefPubMed
  24. 24.↵
    1. Chen X,
    2. Fang M,
    3. Dong D, et al
    . Development and validation of a MRI-based radiomics prognostic classifier in patients with primary glioblastoma multiforme. Acad Radiol 2019;26:1292–300 doi:10.1016/j.acra.2018.12.016 pmid:30660472
    CrossRefPubMed
  25. 25.↵
    1. Hyare H,
    2. Rice L,
    3. Thust S, et al
    . Modelling MR and clinical features in grade II/III astrocytomas to predict IDH mutation status. Eur J Radiol 2019;114:120–27 doi:10.1016/j.ejrad.2019.03.003 pmid:31005161
    CrossRefPubMed
  26. 26.↵
    1. Park CJ,
    2. Han K,
    3. Shin H, et al
    . MR image phenotypes may add prognostic value to clinical features in IDH wild-type lower-grade gliomas. Eur Radiol 2020;30:3035–45 doi:10.1007/s00330-020-06683-2 pmid:32060714
    CrossRefPubMed
  27. 27.↵
    1. Lu Y,
    2. Patel M,
    3. Natarajan K, et al
    . Machine learning-based radiomic, clinical and semantic feature analysis for predicting overall survival and MGMT promoter methylation status in patients with glioblastoma. Magn Reson Imaging 2020;74:161–70 doi:10.1016/j.mri.2020.09.017 pmid:32980505
    CrossRefPubMed
  28. 28.↵
    1. Cao M,
    2. Suo S,
    3. Zhang X, et al
    . Qualitative and quantitative MRI analysis in IDH1 genotype prediction of lower-grade gliomas: a machine learning approach. Biomed Res Int 2021;2021:1235314 doi:10.1155/2021/1235314 pmid:33553421
    CrossRefPubMed
  29. 29.↵
    1. Verduin M,
    2. Primakov S,
    3. Compter I, et al
    . Prognostic and predictive value of integrated qualitative and quantitative magnetic resonance imaging analysis in glioblastoma. Cancers (Basel) 2021;13:722 doi:10.3390/cancers13040722 pmid:33578746
    CrossRefPubMed
  30. 30.↵
    1. Ahn SS,
    2. An C,
    3. Park YW, et al
    . Identification of magnetic resonance imaging features for the prediction of molecular profiles of newly diagnosed glioblastoma. J Neurooncol 2021;154:83–92 doi:10.1007/s11060-021-03801-y pmid:34191225
    CrossRefPubMed
  31. 31.↵
    1. Wang J,
    2. Yi X,
    3. Fu Y, et al
    . Preoperative magnetic resonance imaging radiomics for predicting early recurrence of glioblastoma. Front Oncol 2021;11:769188 doi:10.3389/fonc.2021.769188 pmid:34778086
    CrossRefPubMed
  32. 32.↵
    1. Sun C,
    2. Fan L,
    3. Wang W, et al
    . Radiomics and qualitative features from multiparametric MRI predict molecular subtypes in patients with lower-grade glioma. Front Oncol 2021;11:756828 doi:10.3389/fonc.2021.756828 pmid:35127472
    CrossRefPubMed
  33. 33.↵
    1. Ge X,
    2. Wang M,
    3. Ma H, et al
    . Investigated diagnostic value of synthetic relaxometry, three-dimensional pseudo-continuous arterial spin labelling and diffusion-weighted imaging in the grading of glioma. Magn Reson Imaging 2022;86:20–27 doi:10.1016/j.mri.2021.11.006 pmid:34808303
    CrossRefPubMed
  34. 34.↵
    1. Ruan Z,
    2. Mei N,
    3. Lu Y, et al
    . A comparative and summative study of radiomics-based overall survival prediction in glioblastoma patients. J Comput Assist Tomogr 2022;46:470–79 doi:10.1097/RCT.0000000000001300 pmid:35405713
    CrossRefPubMed
  35. 35.↵
    1. Sacli-Bilmez B,
    2. Firat Z,
    3. Topcuoglu OM, et al
    . Identifying overall survival in 98 glioblastomas using VASARI features at 3T. Clin Imaging 2023;93:86–92 doi:10.1016/j.clinimag.2022.10.011 pmid:36417792
    CrossRefPubMed
  36. 36.↵
    1. Sahu A,
    2. Patnam NG,
    3. Goda JS, et al
    . Multiparametric magnetic resonance imaging correlates of isocitrate dehydrogenase mutation in WHO high-grade astrocytomas. J Pers Med 2022;13:72 doi:10.3390/jpm13010072 pmid:36675733
    CrossRefPubMed
  37. 37.↵
    1. Gemini L,
    2. Tortora M,
    3. Giordano P, et al
    . Vasari scoring system in discerning between different degrees of glioma and IDH status prediction: a possible machine learning application? J Imaging 2023;9:75 doi:10.3390/jimaging9040075
    CrossRefPubMed
  38. 38.↵
    1. You W,
    2. Mao Y,
    3. Jiao X, et al
    . The combination of radiomics features and VASARI standard to predict glioma grade. Front Oncol 2023;13:1083216 doi:10.3389/fonc.2023.1083216 pmid:37035137
    CrossRefPubMed
  39. 39.↵
    1. Andersen BM,
    2. Miranda C,
    3. Hatzoglou V, et al
    . Leptomeningeal metastases in glioma: the Memorial Sloan Kettering Cancer Center experience. Neurology 2019;92:e2483–91 doi:10.1212/WNL.0000000000007529 pmid:31019097
    CrossRefPubMed
  40. 40.↵
    1. Page MJ,
    2. McKenzie JE,
    3. Bossuyt PM, et al
    . The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. Int J Surg 2021;88:105906 doi:10.1016/j.ijsu.2021.105906 pmid:33789826
    CrossRefPubMed
  41. 41.↵
    1. Salameh J-P,
    2. Bossuyt PM,
    3. McGrath TA, et al
    . Preferred reporting items for systematic review and meta-analysis of diagnostic test accuracy studies (PRISMA-DTA): explanation, elaboration, and checklist. BMJ 2020;370:m2632 doi:10.1136/bmj.m2632 pmid:32816740
    FREE Full Text
  42. 42.↵
    1. Whiting PF,
    2. Rutjes AW,
    3. Westwood ME, et al
    ; QUADAS-2 Group. QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies. Ann Intern Med 2011;155:529–36 doi:10.7326/0003-4819-155-8-201110180-00009 pmid:22007046
    CrossRefPubMedWeb of Science
  43. 43.↵
    1. Saul L,
    2. Weiss Y,
    3. Bottou L
    1. Cortes C,
    2. Mohri M
    . Confidence Intervals for the Area Under the ROC Curve. In: Saul L, Weiss Y, Bottou L, eds. Advances in Neural Information Processing Systems.Vol 17. MIT Press; 2004
  44. 44.↵
    1. Higgins J,
    2. Thomas J,
    3. Miranda JC, et al
    . Cochrane Handbook for Systematic Reviews of Interventions. https://training.cochrane.org/handbook#how-to-access. Accessed December 28, 2023
  45. 45.↵
    1. Thomas RP,
    2. Xu LW,
    3. Lober RM, et al
    . The incidence and significance of multiple lesions in glioblastoma. J Neurooncol 2013;112:91–97 doi:10.1007/s11060-012-1030-1 pmid:23354652
    CrossRefPubMed
  46. 46.↵
    1. Lim DA,
    2. Cha S,
    3. Mayo MC, et al
    . Relationship of glioblastoma multiforme to neural stem cell regions predicts invasive and multifocal tumor phenotype. Neuro Oncol 2007;9:424–29 doi:10.1215/15228517-2007-023 pmid:17622647
    CrossRefPubMed
  47. 47.↵
    1. Kurokawa R,
    2. Kurokawa M,
    3. Baba A, et al
    . Major changes in 2021 World Health Organization Classification of Central Nervous System Tumors. Radiographics 2022;42:1474–93 doi:10.1148/rg.210236 pmid:35802502
    CrossRefPubMed
PreviousNext
Back to top

In this issue

American Journal of Neuroradiology: 45 (8)
American Journal of Neuroradiology
Vol. 45, Issue 8
1 Aug 2024
  • 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.
Ten Years of VASARI Glioma Features: Systematic Review and Meta-Analysis of Their Impact and Performance
(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
Aynur Azizova, Yeva Prysiazhniuk, Ivar J.H.G. Wamelink, Jan Petr, Frederik Barkhof, Vera C. Keil
Ten Years of VASARI Glioma Features: Systematic Review and Meta-Analysis of Their Impact and Performance
American Journal of Neuroradiology Aug 2024, 45 (8) 1053-1062; DOI: 10.3174/ajnr.A8274

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
Ten Years of VASARI Glioma Features
Aynur Azizova, Yeva Prysiazhniuk, Ivar J.H.G. Wamelink, Jan Petr, Frederik Barkhof, Vera C. Keil
American Journal of Neuroradiology Aug 2024, 45 (8) 1053-1062; DOI: 10.3174/ajnr.A8274
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
  • Info & Metrics
  • Responses
  • References
  • PDF

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • No citing articles found.
  • 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

  • Brain Tumor Subtyping Image-Based search via MRI
  • Neuroimaging of Erdheim-Chester Disease
  • CE MRI for Brain Metastasis Detection
Show more Brain Tumor Imaging

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