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

Nonlesional Sources of Contrast Enhancement on Postgadolinium “Black-Blood” 3D T1-SPACE Images in Patients with Multiple Sclerosis

L. Danieli, L. Roccatagliata, D. Distefano, E. Prodi, G.C. Riccitelli, A. Diociasi, L. Carmisciano, A. Cianfoni, T. Bartalena, A. Kaelin-Lang, C. Gobbi, C. Zecca and E. Pravatà
American Journal of Neuroradiology June 2022, 43 (6) 872-880; DOI: https://doi.org/10.3174/ajnr.A7529
L. Danieli
aForm the Department of Neuroradiology (L.D., E. Prodi, A.C., E. Pravatà), Neurocenter of Southern Switzerland, Ente Ospedaliero Cantonale, Lugano, Switzerland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for L. Danieli
L. Roccatagliata
bDipartimento di Scienze della Salute (L.R., A.D.), Università degli Studi di Genova, Genoa, Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for L. Roccatagliata
D. Distefano
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for D. Distefano
E. Prodi
aForm the Department of Neuroradiology (L.D., E. Prodi, A.C., E. Pravatà), Neurocenter of Southern Switzerland, Ente Ospedaliero Cantonale, Lugano, Switzerland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for E. Prodi
G.C. Riccitelli
cDepartment of Neurology (G.C.R., A.K.-L., C.G., C.Z., E. Pravatà), Neurocenter of Southern Switzerland, Ente Ospedaliero Cantonale, Lugano, Switzerland
dFaculty of Biomedical Sciences (G.C.R., A.C., A.K.-L., C.G., C,Z., E. Pravatà), Università della Svizzera Italiana, Lugano, Switzerland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for G.C. Riccitelli
A. Diociasi
bDipartimento di Scienze della Salute (L.R., A.D.), Università degli Studi di Genova, Genoa, Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for A. Diociasi
L. Carmisciano
eDepartment of Health Sciences, Section of Biostatistics (L.C.), Università degli Studi di Genova, Genoa, Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for L. Carmisciano
A. Cianfoni
aForm the Department of Neuroradiology (L.D., E. Prodi, A.C., E. Pravatà), Neurocenter of Southern Switzerland, Ente Ospedaliero Cantonale, Lugano, Switzerland
dFaculty of Biomedical Sciences (G.C.R., A.C., A.K.-L., C.G., C,Z., E. Pravatà), Università della Svizzera Italiana, Lugano, Switzerland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for A. Cianfoni
T. Bartalena
gDepartment of Radiology (T.B.), Pol. Zappi Bartalena, Imola, Italy.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for T. Bartalena
A. Kaelin-Lang
cDepartment of Neurology (G.C.R., A.K.-L., C.G., C.Z., E. Pravatà), Neurocenter of Southern Switzerland, Ente Ospedaliero Cantonale, Lugano, Switzerland
dFaculty of Biomedical Sciences (G.C.R., A.C., A.K.-L., C.G., C,Z., E. Pravatà), Università della Svizzera Italiana, Lugano, Switzerland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for A. Kaelin-Lang
C. Gobbi
cDepartment of Neurology (G.C.R., A.K.-L., C.G., C.Z., E. Pravatà), Neurocenter of Southern Switzerland, Ente Ospedaliero Cantonale, Lugano, Switzerland
dFaculty of Biomedical Sciences (G.C.R., A.C., A.K.-L., C.G., C,Z., E. Pravatà), Università della Svizzera Italiana, Lugano, Switzerland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for C. Gobbi
C. Zecca
cDepartment of Neurology (G.C.R., A.K.-L., C.G., C.Z., E. Pravatà), Neurocenter of Southern Switzerland, Ente Ospedaliero Cantonale, Lugano, Switzerland
dFaculty of Biomedical Sciences (G.C.R., A.C., A.K.-L., C.G., C,Z., E. Pravatà), Università della Svizzera Italiana, Lugano, Switzerland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for C. Zecca
E. Pravatà
aForm the Department of Neuroradiology (L.D., E. Prodi, A.C., E. Pravatà), Neurocenter of Southern Switzerland, Ente Ospedaliero Cantonale, Lugano, Switzerland
dFaculty of Biomedical Sciences (G.C.R., A.C., A.K.-L., C.G., C,Z., E. Pravatà), Università della Svizzera Italiana, Lugano, Switzerland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for E. Pravatà
  • Article
  • Figures & Data
  • Supplemental
  • Info & Metrics
  • Responses
  • References
  • PDF
Loading

References

  1. 1.↵
    1. Thompson AJ,
    2. Baranzini SE,
    3. Geurts J, et al
    . Multiple sclerosis. Lancet 2018;391:1622–36 doi:10.1016/S0140-6736(18)30481-1 pmid:29576504
    CrossRefPubMed
  2. 2.↵
    1. Lublin FD,
    2. Reingold SC,
    3. Cohen JA, et al
    . Defining the clinical course of multiple sclerosis: the 2013 revisions. Neurology 2014;83:278–86 doi:10.1212/WNL.0000000000000560 pmid:24871874
    CrossRefPubMed
  3. 3.↵
    1. Río J,
    2. Rovira À,
    3. Tintoré M, et al
    . Disability progression markers over 6-12 years in interferon-β-treated multiple sclerosis patients. Mult Scler 2018;24:322–30 doi:10.1177/1352458517698052 pmid:28287331
    CrossRefPubMed
  4. 4.↵
    1. Gasperini C,
    2. Prosperini L,
    3. Tintoré M, et al
    ; the MAGNIMS Study Group. Unraveling treatment response in multiple sclerosis: a clinical and MRI challenge. Neurology 2019;92:180–92 doi:10.1212/WNL.0000000000006810 pmid:30587516
    Abstract/FREE Full Text
  5. 5.↵
    1. Bermel RA,
    2. You X,
    3. Foulds P, et al
    . Predictors of long-term outcome in multiple sclerosis patients treated with interferon β. Ann Neurol 2013;73:95–103 doi:10.1002/ana.23758 pmid:23378325
    CrossRefPubMed
  6. 6.↵
    1. Prosperini L,
    2. Mancinelli C,
    3. Haggiag S, et al
    . Minimal evidence of disease activity (MEDA) in relapsing-remitting multiple sclerosis. J Neurol Neurosurg Psychiatry 2020;91:271–77 doi:10.1136/jnnp-2019-322348 pmid:31974130
    Abstract/FREE Full Text
  7. 7.↵
    1. Mandell DM,
    2. Mossa-Basha M,
    3. Qiao Y, et al
    ; Vessel Wall Imaging Study Group of the American Society of Neuroradiology. Intracranial vessel wall MRI: principles and expert consensus recommendations of the American Society of Neuroradiology. AJNR Am J Neuroradiol 2017;38:218–29 doi:10.3174/ajnr.A4893 pmid:27469212
    Abstract/FREE Full Text
  8. 8.↵
    1. Thaler C,
    2. Schneider T,
    3. Sedlacik J, et al
    . T1w dark blood imaging improves detection of contrast enhancing lesions in multiple sclerosis. PLoS One 2017;12:e0183099 doi:10.1371/journal.pone.0183099 pmid:28797082
    CrossRefPubMed
  9. 9.↵
    1. Sommer NN,
    2. Saam T,
    3. Coppenrath E, et al
    . Multiple sclerosis: improved detection of active cerebral lesions with 3-dimensional T1 black-blood magnetic resonance imaging compared with conventional 3-dimensional T1 GRE imaging. Invest Radiol 2018;53:13–19 doi:10.1097/RLI.0000000000000410 pmid:28858894
    CrossRefPubMed
  10. 10.↵
    1. Kato Y,
    2. Higano S,
    3. Tamura H, et al
    . Usefulness of contrast-enhanced T1-weighted sampling perfection with application-optimized contrasts by using different flip angle evolutions in detection of small brain metastasis at 3T MR imaging: comparison with magnetization-prepared rapid acquisition. AJNR Am J Neuroradiol 2009;30:923–29 doi:10.3174/ajnr.A1506 pmid:19213825
    Abstract/FREE Full Text
  11. 11.↵
    1. Jeevanandham B,
    2. Kalyanpur T,
    3. Gupta P, et al
    . Comparison of post-contrast 3D-T1-MPRAGE, 3D-T1-SPACE and 3D-T2-FLAIR MR images in evaluation of meningeal abnormalities at 3-T MRI. Br J Radiol 2017;90:20160834 doi:10.1259/bjr.20160834 pmid:28375660
    CrossRefPubMed
  12. 12.↵
    1. Hodel J,
    2. Outteryck O,
    3. Ryo E, et al
    . Accuracy of postcontrast 3D turbo spin-echo MR sequence for the detection of enhanced inflammatory lesions in patients with multiple sclerosis. AJNR Am J Neuroradiol 2014;35:519–23 doi:10.3174/ajnr.A3795 pmid:24200899
    Abstract/FREE Full Text
  13. 13.↵
    1. Brinjikji W,
    2. El-Rida El-Masri A,
    3. Wald JT, et al
    . Prevalence of developmental venous anomalies increases with age. Stroke 2017;48:1997–99 doi:10.1161/STROKEAHA.116.016145 pmid:28536179
    Abstract/FREE Full Text
  14. 14.↵
    1. Grazzini I,
    2. Calchetti B,
    3. Cuneo GL
    . Developmental venous anomalies in patients with multiple sclerosis: is that a coincidence or an ancillary finding? Neurol Sci 2021;42:2453–60 doi:10.1007/s10072-020-04840-5 pmid:33083936
    CrossRefPubMed
  15. 15.↵
    1. Bedell BJ,
    2. Narayana PA
    . Volumetric analysis of white matter, gray matter, and CSF using fractional volume analysis. Magn Reson Med 1998;39:961–69 doi:10.1002/mrm.1910390614 pmid:9621920
    CrossRefPubMedWeb of Science
  16. 16.↵
    1. Karimaghaloo Z,
    2. Shah M,
    3. Francis SJ, et al
    . Automatic detection of gadolinium-enhancing multiple sclerosis lesions in brain MRI using conditional random fields. IEEE Trans Med Imaging 2012;31:1181–94 doi:10.1109/TMI.2012.2186639 pmid:22318484
    CrossRefPubMed
  17. 17.↵
    1. Coronado I,
    2. Gabr RE,
    3. Narayana PA
    . Deep learning segmentation of gadolinium-enhancing lesions in multiple sclerosis. Mult Scler 2021;27:519–27 doi:10.1177/1352458520921364 pmid:32442043
    CrossRefPubMed
  18. 18.↵
    1. He R,
    2. Narayana PA
    . Automatic delineation of Gd enhancements on magnetic resonance images in multiple sclerosis. Med Phys 2002;29:1536–46 doi:10.1118/1.1487422 pmid:12148736
    CrossRefPubMedWeb of Science
  19. 19.↵
    1. Goldberg-Zimring D,
    2. Achiron A,
    3. Miron S, et al
    . Automated detection and characterization of multiple sclerosis lesions in brain MR images. Magn Reson Imaging 1998;16:311–18 doi:10.1016/s0730-725x(97)00300-7 pmid:9621972
    CrossRefPubMed
  20. 20.↵
    1. Polman CH,
    2. Reingold SC,
    3. Banwell B, et al
    . Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria. Ann Neurol 2011;69:292–302 doi:10.1002/ana.22366 pmid:21387374
    CrossRefPubMedWeb of Science
  21. 21.↵
    1. Granberg T,
    2. Martola J,
    3. Kristoffersen-Wiberg M, et al
    . Radiologically isolated syndrome–incidental magnetic resonance imaging findings suggestive of multiple sclerosis, a systematic review. Mult Scler 2013;19:271–80 doi:10.1177/1352458512451943 pmid:22760099
    CrossRefPubMed
  22. 22.↵
    1. Danieli L,
    2. Riccitelli GC,
    3. Distefano D, et al
    . Brain tumor-enhancement visualization and morphometric assessment: a comparison of MPRAGE, SPACE, and VIBE MRI techniques. AJNR Am J Neuroradiol 2019;40:1140–48 doi:10.3174/ajnr.A6096 pmid:31221635
    Abstract/FREE Full Text
  23. 23.↵
    1. El-Koussy M,
    2. Schroth G,
    3. Gralla J, et al
    . Susceptibility-weighted MR imaging for diagnosis of capillary telangiectasia of the brain. AJNR Am J Neuroradiol 2012;33:715–20 doi:10.3174/ajnr.A2893 pmid:22194370
    Abstract/FREE Full Text
  24. 24.↵
    1. Pravatà E,
    2. Roccatagliata L,
    3. Sormani MP, et al
    . Dedicated 3D-T2-STIR-ZOOMit imaging improves demyelinating lesion detection in the anterior visual pathways of patients with multiple sclerosis. AJNR Am J Neuroradiol 2021;42:1061–68 doi:10.3174/ajnr.A7082 pmid:33766824
    Abstract/FREE Full Text
  25. 25.↵
    1. Geraldes R,
    2. Ciccarelli O,
    3. Barkhof F, et al
    ; MAGNIMS study group. The current role of MRI in differentiating multiple sclerosis from its imaging mimics. Nat Rev Neurol 2018;14:199–213 doi:10.1038/nrneurol.2018.39 pmid:29582852
    CrossRefPubMed
  26. 26.↵
    1. Filippi M,
    2. Preziosa P,
    3. Banwell BL, et al
    . Assessment of lesions on magnetic resonance imaging in multiple sclerosis: practical guidelines. Brain 2019;142:1858–75 doi:10.1093/brain/awz144 pmid:31209474
    CrossRefPubMed
  27. 27.↵
    1. Filippi M,
    2. Rocca MA,
    3. Ciccarelli O, et al
    . MRI criteria for the diagnosis of multiple sclerosis: MAGNIMS consensus guidelines. Lancet Neurol 2016;15:292–303 doi:10.1016/S1474-4422(15)00393-2 pmid:26822746
    CrossRefPubMed
  28. 28.↵
    1. Dobson R,
    2. Giovannoni G
    . Multiple sclerosis: a review. Eur J Neurol 2019;26:27–40 doi:10.1111/ene.13819 pmid:30300457
    CrossRefPubMed
  29. 29.↵
    1. Kaufmann TJ,
    2. Smits M,
    3. Boxerman J, et al
    . Consensus recommendations for a standardized brain tumor imaging protocol for clinical trials in brain metastases. Neuro Oncol 2020;22:757–72 doi:10.1093/neuonc/noaa030 pmid:32048719
    CrossRefPubMed
  30. 30.↵
    1. Goncalves Filho AL,
    2. Conklin J,
    3. Longo MG, et al
    . Accelerated post-contrast wave-CAIPI T1 SPACE achieves equivalent diagnostic performance compared with standard T1 SPACE for the detection of brain metastases in clinical 3T MRI. Front Neurol 2020;11:587327 doi:10.3389/fneur.2020.587327 pmid:33193054
    CrossRefPubMed
  31. 31.↵
    1. Filippi M,
    2. Rocca MA,
    3. Barkhof F, et al
    ; Attendees of the Correlation between pathological and MRI findings in MS workshop. Association between pathological and MRI findings in multiple sclerosis. Lancet Neurol 2012;11:349–60 doi:10.1016/S1474-4422(12)70003-0 pmid:30663609
    CrossRefPubMedWeb of Science
  32. 32.↵
    1. Santucci GM,
    2. Leach JL,
    3. Ying J, et al
    . Brain parenchymal signal abnormalities associated with developmental venous anomalies: detailed MR imaging assessment. AJNR Am J Neuroradiol 2008;29:1317–23 doi:10.3174/ajnr.A1090 pmid:18417603
    CrossRefPubMed
  33. 33.↵
    1. Tsantes E,
    2. Curti E,
    3. Ganazzoli C, et al
    . The contribution of enhancing lesions in monitoring multiple sclerosis treatment: is gadolinium always necessary? J Neurol 2020;267:2642–47 doi:10.1007/s00415-020-09894-1 pmid:32399696
    CrossRefPubMed
  34. 34.↵
    1. Sadigh G,
    2. Saindane AM,
    3. Waldman AD, et al
    . Comparison of unenhanced and gadolinium-enhanced imaging in multiple sclerosis: is contrast needed for routine follow-up MRI? AJNR Am J Neuroradiol 2019;40:1476–80 doi:10.3174/ajnr.A6179 pmid:31439627
    Abstract/FREE Full Text
  35. 35.↵
    1. Mattay RR,
    2. Davtyan K,
    3. Bilello M, et al
    . Do all patients with multiple sclerosis benefit from the use of contrast on serial follow-up MR imaging? A retrospective analysis. AJNR Am J Neuroradiol 2018;39:2001–06 doi:10.3174/ajnr.A5828 pmid:30287455
    Abstract/FREE Full Text
  36. 36.↵
    1. Xie Y,
    2. Yang Q,
    3. Xie G, et al
    . Improved black-blood imaging using DANTE-SPACE for simultaneous carotid and intracranial vessel wall evaluation. Magn Reson Med 2016;75:2286–94 doi:10.1002/mrm.25785 pmid:26152900
    CrossRefPubMed
  37. 37.↵
    1. Kammer NN,
    2. Coppenrath E,
    3. Treitl KM, et al
    . Comparison of contrast-enhanced modified T1-weighted 3D TSE black-blood and 3D MP-RAGE sequences for the detection of cerebral metastases and brain tumours. Eur Radiol 2016;26:1818–25 doi:10.1007/s00330-015-3975-x pmid:26334511
    CrossRefPubMed
PreviousNext
Back to top

In this issue

American Journal of Neuroradiology: 43 (6)
American Journal of Neuroradiology
Vol. 43, Issue 6
1 Jun 2022
  • 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.
Nonlesional Sources of Contrast Enhancement on Postgadolinium “Black-Blood” 3D T1-SPACE Images in Patients with Multiple Sclerosis
(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. Danieli, L. Roccatagliata, D. Distefano, E. Prodi, G.C. Riccitelli, A. Diociasi, L. Carmisciano, A. Cianfoni, T. Bartalena, A. Kaelin-Lang, C. Gobbi, C. Zecca, E. Pravatà
Nonlesional Sources of Contrast Enhancement on Postgadolinium “Black-Blood” 3D T1-SPACE Images in Patients with Multiple Sclerosis
American Journal of Neuroradiology Jun 2022, 43 (6) 872-880; DOI: 10.3174/ajnr.A7529

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
Nonlesional Contrast Enhancement in MS
L. Danieli, L. Roccatagliata, D. Distefano, E. Prodi, G.C. Riccitelli, A. Diociasi, L. Carmisciano, A. Cianfoni, T. Bartalena, A. Kaelin-Lang, C. Gobbi, C. Zecca, E. Pravatà
American Journal of Neuroradiology Jun 2022, 43 (6) 872-880; DOI: 10.3174/ajnr.A7529
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
    • ACKNOWLEDGMENTS
    • Footnotes
    • References
  • Figures & Data
  • Supplemental
  • Info & Metrics
  • Responses
  • References
  • PDF

Related Articles

  • PubMed
  • Google Scholar

Cited By...

  • Improved detection of multiple sclerosis gadolinium-enhancing lesions: 3D T1 Turbo-Spin-Echo Outperforms 3D T1 Turbo-Field Echo MRI
  • Crossref (4)
  • Google Scholar

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

  • Validation of a highly accelerated post-contrast wave-controlled aliasing in parallel imaging (CAIPI) 3D-T1 MPRAGE compared to standard 3D-T1 MPRAGE for detection of intracranial enhancing lesions on 3-T MRI
    Augusto Lio M. Goncalves Filho, Komal Manzoor Awan, John Conklin, Chanon Ngamsombat, Stephen F. Cauley, Kawin Setsompop, Wei Liu, Daniel N. Splitthoff, Wei-Ching Lo, John E. Kirsch, Pamela W. Schaefer, Otto Rapalino, Susie Y. Huang
    European Radiology 2022 33 4
  • Contrast-Enhancing Lesion Segmentation in Multiple Sclerosis: A Deep Learning Approach Validated in a Multicentric Cohort
    Martina Greselin, Po-Jui Lu, Lester Melie-Garcia, Mario Ocampo-Pineda, Riccardo Galbusera, Alessandro Cagol, Matthias Weigel, Nina de Oliveira Siebenborn, Esther Ruberte, Pascal Benkert, Stefanie Müller, Sebastian Finkener, Jochen Vehoff, Giulio Disanto, Oliver Findling, Andrew Chan, Anke Salmen, Caroline Pot, Claire Bridel, Chiara Zecca, Tobias Derfuss, Johanna M. Lieb, Michael Diepers, Franca Wagner, Maria I. Vargas, Renaud Du Pasquier, Patrice H. Lalive, Emanuele Pravatà, Johannes Weber, Claudio Gobbi, David Leppert, Olaf Chan-Hi Kim, Philippe C. Cattin, Robert Hoepner, Patrick Roth, Ludwig Kappos, Jens Kuhle, Cristina Granziera
    Bioengineering 2024 11 8
  • Black Blood-MRT: Fehlinterpretation anreichernder Venen als aktive MS-Herde
    Neuroradiologie Scan 2023 13 02
  • Black Blood-MRT: Fehlinterpretation anreichernder Venen als aktive MS-Herde
    Radiologie up2date 2024 24 01

More in this TOC Section

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

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