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
    • ASNR Foundation Special Collection
    • Most Impactful AJNR Articles
    • Photon-Counting CT
    • Spinal CSF Leak Articles (Jan 2020-June 2024)
  • 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
    • ASNR Foundation Special Collection
    • Most Impactful AJNR Articles
    • Photon-Counting CT
    • Spinal CSF Leak Articles (Jan 2020-June 2024)
  • 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 is seeking candidates for the AJNR Podcast Editor. Read the position description.

Research ArticleADULT BRAIN
Open Access

Automated Color-Coding of Lesion Changes in Contrast-Enhanced 3D T1-Weighted Sequences for MRI Follow-up of Brain Metastases

D. Zopfs, K. Laukamp, R. Reimer, N. Grosse Hokamp, C. Kabbasch, J. Borggrefe, L. Pennig, A.C. Bunck, M. Schlamann and S. Lennartz
American Journal of Neuroradiology January 2022, DOI: https://doi.org/10.3174/ajnr.A7380
D. Zopfs
aFrom the Institute for Diagnostic and Interventional Radiology (D.Z., K.L., R.R., N.G.H., C.K., L.P., A.C.B., M.S., S.L.), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for D. Zopfs
K. Laukamp
aFrom the Institute for Diagnostic and Interventional Radiology (D.Z., K.L., R.R., N.G.H., C.K., L.P., A.C.B., M.S., S.L.), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for K. Laukamp
R. Reimer
aFrom the Institute for Diagnostic and Interventional Radiology (D.Z., K.L., R.R., N.G.H., C.K., L.P., A.C.B., M.S., S.L.), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for R. Reimer
N. Grosse Hokamp
aFrom the Institute for Diagnostic and Interventional Radiology (D.Z., K.L., R.R., N.G.H., C.K., L.P., A.C.B., M.S., S.L.), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for N. Grosse Hokamp
C. Kabbasch
aFrom the Institute for Diagnostic and Interventional Radiology (D.Z., K.L., R.R., N.G.H., C.K., L.P., A.C.B., M.S., S.L.), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for C. Kabbasch
J. Borggrefe
bDepartment of Radiology (J.B.), Neuroradiology and Nuclear Medicine, Johannes Wesling University Hospital, Ruhr University Bochum, Bochum, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for J. Borggrefe
L. Pennig
aFrom the Institute for Diagnostic and Interventional Radiology (D.Z., K.L., R.R., N.G.H., C.K., L.P., A.C.B., M.S., S.L.), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for L. Pennig
A.C. Bunck
aFrom the Institute for Diagnostic and Interventional Radiology (D.Z., K.L., R.R., N.G.H., C.K., L.P., A.C.B., M.S., S.L.), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for A.C. Bunck
M. Schlamann
aFrom the Institute for Diagnostic and Interventional Radiology (D.Z., K.L., R.R., N.G.H., C.K., L.P., A.C.B., M.S., S.L.), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for M. Schlamann
S. Lennartz
aFrom the Institute for Diagnostic and Interventional Radiology (D.Z., K.L., R.R., N.G.H., C.K., L.P., A.C.B., M.S., S.L.), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for S. Lennartz
  • Article
  • Figures & Data
  • Info & Metrics
  • Responses
  • References
  • PDF
Loading

References

  1. 1.↵
    1. Achrol AS,
    2. Rennert RC,
    3. Anders C, et al
    . Brain metastases. Nat Rev Dis Primers 2019;5:5 doi:10.1038/s41572-018-0055-y pmid:30655533
    CrossRefPubMed
  2. 2.↵
    1. Wen PY,
    2. Loeffler JS
    . Management of brain metastases. Oncology (Williston Park) 1999;13:941–54; discussion 961-62, 69 pmid:10442342
    PubMed
  3. 3.↵
    1. Barnholtz-Sloan JS,
    2. Sloan AE,
    3. Davis FG, et al
    . Incidence proportions of brain metastases in patients diagnosed (1973 to 2001) in the Metropolitan Detroit Cancer Surveillance System. J Clin Oncol 2004;22:2865–72 doi:10.1200/JCO.2004.12.149 pmid:15254054
    Abstract/FREE Full Text
  4. 4.↵
    1. Soffietti R,
    2. Rudā R,
    3. Mutani R
    . Management of brain metastases. J Neurol 2002;249:1357–69 doi:10.1007/s00415-002-0870-6 pmid:12382150
    CrossRefPubMedWeb of Science
  5. 5.↵
    1. Pope WB
    . Brain metastases: neuroimaging. Handb Clin Neurol 2018;149:89–112 doi:10.1016/B978-0-12-811161-1.00007-4 pmid:29307364
    CrossRefPubMed
  6. 6.↵
    1. Sze G,
    2. Milano E,
    3. Johnson C, et al
    . Detection of brain metastases: comparison of contrast-enhanced MR with unenhanced MR and enhanced CT. AJNR Am J Neuroradiol 1990;11:785–91 pmid:2114769
    Abstract/FREE Full Text
  7. 7.↵
    1. Deuschl C,
    2. Kirchner J,
    3. Poeppel TD, et al
    . 11C-MET PET/MRI for detection of recurrent glioma. Eur J Nucl Med Mol Imaging 2018;45:593–601 doi:10.1007/s00259-017-3916-9 pmid:29282517
    CrossRefPubMed
  8. 8.↵
    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
  9. 9.↵
    1. Patel N,
    2. Horsfield MA,
    3. Banahan C, et al
    . Detection of focal longitudinal changes in the brain by subtraction of MR images. AJNR Am J Neuroradiol 2017;38:923–27 doi:10.3174/ajnr.A5165 pmid:28364006
    Abstract/FREE Full Text
  10. 10.↵
    1. Lassman AB,
    2. DeAngelis LM
    . Brain metastases. Neurol Clin 2003;21:1–23 doi:10.1016/S0733-8619(02)00035-X pmid:12690643
    CrossRefPubMed
  11. 11.↵
    1. Berbaum KS,
    2. Franken EA,
    3. Dorfman DD, et al
    . Satisfaction of search in diagnostic radiology. Invest Radiol 1990;25:133–40 pmid:2312249
    CrossRefPubMedWeb of Science
  12. 12.↵
    1. Ganesan A,
    2. Alakhras M,
    3. Brennan PC, et al
    . A review of factors influencing radiologists' visual search behaviour. J Med Imaging Radiat Oncol 2018;62:747–57 doi:10.1111/1754-9485.12798 pmid:30198628
    CrossRefPubMed
  13. 13.↵
    1. Zopfs D,
    2. Laukamp KR,
    3. Paquet S, et al
    . Follow-up MRI in multiple sclerosis patients: automated co-registration and lesion color-coding improves diagnostic accuracy and reduces reading time. Eur Radiol 2019;29:7047–54 doi:10.1007/s00330-019-06273-x pmid:31201526
    CrossRefPubMed
  14. 14.↵
    1. Dahan A,
    2. Pereira R,
    3. Malpas CB, et al
    . PACS integration of semiautomated imaging software improves day-to-day MS disease activity detection. AJNR Am J Neuroradiol 2019;40:1624–29 doi:10.3174/ajnr.A6195 pmid:31515214
    Abstract/FREE Full Text
  15. 15.↵
    1. Galletto Pregliasco A,
    2. Collin A,
    3. Guéguen A, et al
    . Improved detection of new MS lesions during follow-up using an automated MR coregistration-fusion method. AJNR Am J Neuroradiol 2018;39:1226–32 doi:10.3174/ajnr.A5690 pmid:29880479
    Abstract/FREE Full Text
  16. 16.↵
    1. Lennartz S,
    2. Zopfs D,
    3. Nobis A, et al
    . MRI follow-up of astrocytoma: automated coregistration and color-coding of FLAIR sequences improves diagnostic accuracy with comparable reading time. J Magn Reson Imaging 2020;52:1197–206 doi:10.1002/jmri.27136 pmid:32246803
    CrossRefPubMed
  17. 17.↵
    1. van der Hoorn A,
    2. Yan J-L,
    3. Larkin TJ, et al
    . Validation of a semi-automatic co-registration of MRI scans in patients with brain tumors during treatment follow-up. NMR Biomed 2016;29:882–89 doi:10.1002/nbm.3538 pmid:27120035
    CrossRefPubMed
  18. 18.↵
    1. Chitphakdithai N,
    2. Chiang VL,
    3. Duncan JS
    . Non-rigid registration of longitudinal brain tumor treatment MRI. Annu Int Conf IEEE Eng Med Biol Soc 2011;2011:4893–96 doi:10.1109/IEMBS.2011.6091212 pmid:22255435
    CrossRefPubMed
  19. 19.↵
    1. Lin NU,
    2. Lee EQ,
    3. Aoyama H, et al
    ; Response Assessment in Neuro-Oncology (RANO) group. Response assessment criteria for brain metastases: proposal from the RANO group. Lancet Oncol 2015;16:e270–78 doi:10.1016/S1470-2045(15)70057-4 pmid:26065612
    CrossRefPubMed
  20. 20.↵
    1. Chokshi FH,
    2. Hughes DR,
    3. Wang JM, et al
    . Diagnostic radiology resident and fellow workloads: a 12-year longitudinal trend analysis using national Medicare aggregate claims data. J Am Coll Radiol 2015;12:664–69 doi:10.1016/j.jacr.2015.02.009 pmid:25972250
    CrossRefPubMed
  21. 21.↵
    1. Taylor-Phillips S,
    2. Stinton C
    . Fatigue in radiology: a fertile area for future research. Br J Radiol 2019;92:20190043 doi:10.1259/bjr.20190043 pmid:30933540
    CrossRefPubMed
  22. 22.↵
    1. Stec N,
    2. Arje D,
    3. Moody AR, et al
    . A systematic review of fatigue in radiology: is it a problem? AJR Am J Roentgenol 2018;210:799–806 doi:10.2214/AJR.17.18613 pmid:29446673
    CrossRefPubMed
  23. 23.↵
    1. Maskell G
    . Error in radiology: where are we now? Br J Radiol 2019;92:20180845 doi:10.1259/bjr.20180845 pmid:30457880
    CrossRefPubMed
  24. 24.↵
    1. Grøvik E,
    2. Yi D,
    3. Iv M, et al
    . Deep learning enables automatic detection and segmentation of brain metastases on multisequence MRI. J Magn Reson Imaging 2020;51:175–82 doi:10.1002/jmri.26766 pmid:31050074
    CrossRefPubMed
  25. 25.↵
    1. Laukamp KR,
    2. Thiele F,
    3. Shakirin G, et al
    . Fully automated detection and segmentation of meningiomas using deep learning on routine multiparametric MRI. Eur Radiol 2019;29:124–32 doi:10.1007/s00330-018-5595-8 pmid:29943184
    CrossRefPubMed
  26. 26.↵
    1. Geis JR,
    2. Brady AP,
    3. Wu CC, et al
    . Ethics of artificial intelligence in radiology: summary of the Joint European and North American Multisociety Statement. Radiology 2019;293:436–40 doi:10.1148/radiol.2019191586 pmid:31573399
    CrossRefPubMed
  27. 27.↵
    1. Recht MP,
    2. Dewey M,
    3. Dreyer K, et al
    . Integrating artificial intelligence into the clinical practice of radiology: challenges and recommendations. Eur Radiol 2020;30:3576–84 doi:10.1007/s00330-020-06672-5 pmid:32064565
    CrossRefPubMed
  28. 28.↵
    1. Tang A,
    2. Tam R,
    3. Cadrin-Chênevert A, et al
    ; Canadian Association of Radiologists (CAR) Artificial Intelligence Working Group. Canadian Association of Radiologists White Paper on Artificial Intelligence in Radiology. Can Assoc Radiol J 2018;69:120–35 doi:10.1016/j.carj.2018.02.002 pmid:29655580
    CrossRefPubMed
PreviousNext
Back to top
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.
Automated Color-Coding of Lesion Changes in Contrast-Enhanced 3D T1-Weighted Sequences for MRI Follow-up of Brain Metastases
(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
D. Zopfs, K. Laukamp, R. Reimer, N. Grosse Hokamp, C. Kabbasch, J. Borggrefe, L. Pennig, A.C. Bunck, M. Schlamann, S. Lennartz
Automated Color-Coding of Lesion Changes in Contrast-Enhanced 3D T1-Weighted Sequences for MRI Follow-up of Brain Metastases
American Journal of Neuroradiology Jan 2022, DOI: 10.3174/ajnr.A7380

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
Automated Color-Coding of Lesion Changes in Contrast-Enhanced 3D T1-Weighted Sequences for MRI Follow-up of Brain Metastases
D. Zopfs, K. Laukamp, R. Reimer, N. Grosse Hokamp, C. Kabbasch, J. Borggrefe, L. Pennig, A.C. Bunck, M. Schlamann, S. Lennartz
American Journal of Neuroradiology Jan 2022, DOI: 10.3174/ajnr.A7380
del.icio.us logo Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One
Purchase

Jump to section

  • Article
    • Abstract
    • ABBREVIATION:
    • 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...

  • Interest of structured reporting and combined automated co-registration and lesion color-coding maps for longitudinal magnetic resonance imaging analysis in patients with multiple sclerosis : the MS-LOBI-SR study protocol
  • Crossref (4)
  • Google Scholar

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

  • Automatically tracking brain metastases after stereotactic radiosurgery
    Dylan G. Hsu, Åse Ballangrud, Kayla Prezelski, Nathaniel C. Swinburne, Robert Young, Kathryn Beal, Joseph O. Deasy, Laura Cerviño, Michalis Aristophanous
    Physics and Imaging in Radiation Oncology 2023 27
  • Dual-energy computed tomography material decomposition improves prediction accuracy of hematoma expansion in traumatic intracranial hemorrhage
    Jungbin Lee, Sung-Tae Park, Sun-Chul Hwang, Jung Youn Kim, A. Leum Lee, Kee-Hyun Chang, Lorenzo Faggioni
    PLOS ONE 2023 18 7
  • Real-World Validation of Coregistration and Structured Reporting for Magnetic Resonance Imaging Monitoring in Multiple Sclerosis
    Kevin Rose, Ichem Mohtarif, Sébastien Kerdraon, Jeremy Deverdun, Pierre Leprêtre, Julien Ognard
    Journal of Computer Assisted Tomography 2024 48 6
  • Transforming grayscale MRI images to color utilizing generative artificial intelligence to better understand multiple sclerosis
    Darin T. Okuda, Christine Lebrun-Frénay
    Journal of Central Nervous System Disease 2025 17

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

Special Collections

  • AJNR Awards
  • ASNR Foundation Special Collection
  • Most Impactful AJNR Articles
  • Photon-Counting CT
  • Spinal CSF Leak Articles (Jan 2020-June 2024)

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