Tissue-Specific Imaging Is a Robust Methodology to Differentiate In Vivo T1 Black Holes with Advanced Multiple Sclerosis–Induced Damage

M. Riva; V.N. Ikonomidou; J.J. Ostuni; P. van Gelderen; S. Auh; J.M. Ohayon; F. Tovar-Moll; N.D. Richert; J.H. Duyn; F. Bagnato

doi:10.3174/ajnr.A1573

Research ArticleBRAIN

Open Access

Tissue-Specific Imaging Is a Robust Methodology to Differentiate In Vivo T1 Black Holes with Advanced Multiple Sclerosis–Induced Damage

M. Riva, V.N. Ikonomidou, J.J. Ostuni, P. van Gelderen, S. Auh, J.M. Ohayon, F. Tovar-Moll, N.D. Richert, J.H. Duyn and F. Bagnato

American Journal of Neuroradiology August 2009, 30 (7) 1394-1401; DOI: https://doi.org/10.3174/ajnr.A1573

M. Riva

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site

V.N. Ikonomidou

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site

J.J. Ostuni

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site

P. van Gelderen

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site

S. Auh

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site

J.M. Ohayon

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site

F. Tovar-Moll

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site

N.D. Richert

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site

J.H. Duyn

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site

F. Bagnato

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

Submit a Response to This Article

Compose eLetter

Title *

Contents

More information about text formats

Plain text

No HTML tags allowed.
Web page addresses and e-mail addresses turn into links automatically.
Lines and paragraphs break automatically.

Author Information

Contributors
First Name and Middle Initial * First or given name, e.g. 'Peter'. Last Name * Your last, or family, name, e.g. 'MacMoody'. Email Address * Your email address, e.g. [email protected] Occupation * Your role and/or occupation, e.g. 'Orthopedic Surgeon'. Affiliation * Your organization or institution (if applicable), e.g. 'Royal Free Hospital'.

Statement of Competing Interests

Competing interests? *

Yes

Please describe the competing interests

Vertical Tabs

Jump to comment:

No eLetters have been published for this article.

PreviousNext

In this issue

American Journal of Neuroradiology

Vol. 30, Issue 7

August 2009

Table of Contents
Index by author

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.

Your Email *

Your Name *

Send To *

Enter multiple addresses on separate lines or separate them with commas.

You are going to email the following Tissue-Specific Imaging Is a Robust Methodology to Differentiate In Vivo T1 Black Holes with Advanced Multiple Sclerosis–Induced Damage

Message Subject (Your Name) has sent you a message from American Journal of Neuroradiology

Message Body (Your Name) thought you would like to see the American Journal of Neuroradiology web site.

Your Personal Message

CAPTCHA

This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.

Cite this article

M. Riva, V.N. Ikonomidou, J.J. Ostuni, P. van Gelderen, S. Auh, J.M. Ohayon, F. Tovar-Moll, N.D. Richert, J.H. Duyn, F. Bagnato

Tissue-Specific Imaging Is a Robust Methodology to Differentiate In Vivo T1 Black Holes with Advanced Multiple Sclerosis–Induced Damage

American Journal of Neuroradiology Aug 2009, 30 (7) 1394-1401; DOI: 10.3174/ajnr.A1573

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

Bookmark this article

User Name *

Password *

Remember my user name & password.

Tissue-Specific Imaging Is a Robust Methodology to Differentiate In Vivo T1 Black Holes with Advanced Multiple Sclerosis–Induced Damage

M. Riva, V.N. Ikonomidou, J.J. Ostuni, P. van Gelderen, S. Auh, J.M. Ohayon, F. Tovar-Moll, N.D. Richert, J.H. Duyn, F. Bagnato

American Journal of Neuroradiology Aug 2009, 30 (7) 1394-1401; DOI: 10.3174/ajnr.A1573

Share This Article:

Tweet Widget
Facebook Like
Google Plus One

Purchase

Jump to section

Article
Figures & Data
Info & Metrics
Responses
References
PDF

No related articles found.

PubMed
Google Scholar

Cited By...

Diffusion Histology Imaging to Improve Lesion Detection and Classification in Multiple Sclerosis
T1 Recovery Is Predominantly Found in Black Holes and Is Associated with Clinical Improvement in Patients with Multiple Sclerosis
Tissue-Specific MR Imaging in Multiple Sclerosis

Crossref (26)
Google Scholar

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

Untangling the R2* contrast in multiple sclerosis: A combined MRI-histology study at 7.0 Tesla

Francesca Bagnato, Simon Hametner, Emma Boyd, Verena Endmayr, Yaping Shi, Vasiliki Ikonomidou, Guanhua Chen, Siddharama Pawate, Hans Lassmann, Seth Smith, E. Brian Welch, Quan Jiang

PLOS ONE 2018 13 3
Deep learning with diffusion basis spectrum imaging for classification of multiple sclerosis lesions

Zezhong Ye, Ajit George, Anthony T. Wu, Xuan Niu, Joshua Lin, Gautam Adusumilli, Robert T. Naismith, Anne H. Cross, Peng Sun, Sheng‐Kwei Song

Annals of Clinical and Translational Neurology 2020 7 5
T1- Thresholds in Black Holes Increase Clinical-Radiological Correlation in Multiple Sclerosis Patients

Christian Thaler, Tobias Faizy, Jan Sedlacik, Brigitte Holst, Jan-Patrick Stellmann, Kim Lea Young, Christoph Heesen, Jens Fiehler, Susanne Siemonsen, Sreeram V. Ramagopalan

PLOS ONE 2015 10 12
The impact of intensity variations in T1-hypointense lesions on clinical correlations in multiple sclerosis

RC Tam, A Traboulsee, A Riddehough, F Sheikhzadeh, DKB Li

Multiple Sclerosis Journal 2011 17 8
Heterogeneity of Multiple Sclerosis White Matter Lesions Detected With T2*‐Weighted Imaging at 7.0 Tesla

Bing Yao, Vasiliki N. Ikonomidou, Fredric K. Cantor, Joan M. Ohayon, Jeff Duyn, Francesca Bagnato

Journal of Neuroimaging 2015 25 5
Quantitative magnetization transfer imaging in relapsing-remitting multiple sclerosis: a systematic review and meta-analysis

Elizabeth N. York, Michael J. Thrippleton, Rozanna Meijboom, David P. J. Hunt, Adam D. Waldman

Brain Communications 2022 4 2
T1 Recovery Is Predominantly Found in Black Holes and Is Associated with Clinical Improvement in Patients with Multiple Sclerosis

C. Thaler, T.D. Faizy, J. Sedlacik, B. Holst, K. Stürner, C. Heesen, J.-P. Stellmann, J. Fiehler, S. Siemonsen

American Journal of Neuroradiology 2017 38 2
Patterns of regional brain volume loss in multiple sclerosis: a cluster analysis

Juichi Fujimori, Kazuo Fujihara, Ryo Ogawa, Toru Baba, Mike Wattjes, Ichiro Nakashima

Journal of Neurology 2020 267 2
Probing axons using multi‐compartmental diffusion in multiple sclerosis

Francesca Bagnato, Giulia Franco, Hua Li, Enrico Kaden, Fei Ye, Run Fan, Amalie Chen, Daniel C. Alexander, Seth A. Smith, Richard Dortch, Junzhong Xu

Annals of Clinical and Translational Neurology 2019 6 9
Texture analysis differentiates persistent and transient T1 black holes at acute onset in multiple sclerosis: A preliminary study

Yunyan Zhang, Anthony Traboulsee, Yinshan Zhao, Luanne M Metz, David K Li

Multiple Sclerosis Journal 2011 17 5

Main menu

User menu

Search

American Journal of Neuroradiology

Tissue-Specific Imaging Is a Robust Methodology to Differentiate In Vivo T1 Black Holes with Advanced Multiple Sclerosis–Induced Damage

Plain text

Vertical Tabs

Jump to comment:

In this issue

Citation Manager Formats

Related Articles

Cited By...

More in this TOC Section

Similar Articles

Indexed Content

Cases

More from AJNR

Multimedia

Resources

About Us

American Society of Neuroradiology