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Research ArticleADULT BRAIN

Neuroradiologists Compared with Non-Neuroradiologists in the Detection of New Multiple Sclerosis Plaques

W. Wang, J. van Heerden, M.A. Tacey and F. Gaillard
American Journal of Neuroradiology July 2017, 38 (7) 1323-1327; DOI: https://doi.org/10.3174/ajnr.A5185
W. Wang
aFrom the Department of Radiology (W.W., F.G.)
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J. van Heerden
cPerth Radiological Clinic (J.v.H.), Subiaco, Western Australia, Australia.
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M.A. Tacey
bMelbourne Epicentre (M.A.T.), the Royal Melbourne Hospital, Parkville, Victoria, Australia
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F. Gaillard
aFrom the Department of Radiology (W.W., F.G.)
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Article Information

vol. 38 no. 7 1323-1327
DOI 
https://doi.org/10.3174/ajnr.A5185
PubMed 
28473341

Published By 
American Journal of Neuroradiology
Print ISSN 
0195-6108
Online ISSN 
1936-959X
History 
  • Received December 15, 2016
  • Accepted after revision February 9, 2017
  • Published online July 12, 2017.

Article Versions

  • Latest version (May 4, 2017 - 07:32).
  • You are viewing the most recent version of this article.
Copyright & Usage 
© 2017 by American Journal of Neuroradiology

Author Information

  1. W. Wanga,
  2. J. van Heerdenc,
  3. M.A. Taceyb and
  4. F. Gaillarda
  1. aFrom the Department of Radiology (W.W., F.G.)
  2. bMelbourne Epicentre (M.A.T.), the Royal Melbourne Hospital, Parkville, Victoria, Australia
  3. cPerth Radiological Clinic (J.v.H.), Subiaco, Western Australia, Australia.
  1. Please address correspondence to Dr Wayland Wang, Department of Radiology, the Royal Melbourne Hospital, Grattan St, Parkville 3050, Melbourne, Victoria, Australia; e-mail: wayland.wang{at}gmail.com
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Cite this article
W. Wang, J. van Heerden, M.A. Tacey, F. Gaillard
Neuroradiologists Compared with Non-Neuroradiologists in the Detection of New Multiple Sclerosis Plaques
American Journal of Neuroradiology Jul 2017, 38 (7) 1323-1327; DOI: 10.3174/ajnr.A5185

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Neuroradiologists Compared with Non-Neuroradiologists in the Detection of New Multiple Sclerosis Plaques
W. Wang, J. van Heerden, M.A. Tacey, F. Gaillard
American Journal of Neuroradiology Jul 2017, 38 (7) 1323-1327; DOI: 10.3174/ajnr.A5185
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  • Comparative Analysis of ChatGPTs Diagnostic Performance with Radiologists Using Real-World Radiology Reports of Brain Tumors
  • 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
  • PACS Integration of Semiautomated Imaging Software Improves Day-to-Day MS Disease Activity Detection
  • Improved Detection of New MS Lesions during Follow-Up Using an Automated MR Coregistration-Fusion Method
  • Crossref (16)
  • Google Scholar

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

  • A Novel Digital Care Management Platform to Monitor Clinical and Subclinical Disease Activity in Multiple Sclerosis
    Wim Van Hecke, Lars Costers, Annabel Descamps, Annemie Ribbens, Guy Nagels, Dirk Smeets, Diana M. Sima
    Brain Sciences 2021 11 9
  • Automatic and Robust Segmentation of Multiple Sclerosis Lesions with Convolutional Neural Networks
    H. M. Rehan Afzal, Suhuai Luo, Saadallah Ramadan, Jeannette Lechner-Scott, Mohammad Ruhul Amin, Jiaming Li, M. Kamran Afzal
    Computers, Materials & Continua 2020 66 1
  • Improved Detection of New MS Lesions during Follow-Up Using an Automated MR Coregistration-Fusion Method
    A. Galletto Pregliasco, A. Collin, A. Guéguen, M.A. Metten, J. Aboab, R. Deschamps, O. Gout, L. Duron, J.C. Sadik, J. Savatovsky, A. Lecler
    American Journal of Neuroradiology 2018 39 7
  • Follow-up MRI in multiple sclerosis patients: automated co-registration and lesion color-coding improves diagnostic accuracy and reduces reading time
    David Zopfs, Kai R. Laukamp, Stefanie Paquet, Simon Lennartz, Daniel Pinto dos Santos, Christoph Kabbasch, Alexander Bunck, Marc Schlamann, Jan Borggrefe
    European Radiology 2019 29 12
  • Comparative analysis of GPT-4-based ChatGPT’s diagnostic performance with radiologists using real-world radiology reports of brain tumors
    Yasuhito Mitsuyama, Hiroyuki Tatekawa, Hirotaka Takita, Fumi Sasaki, Akane Tashiro, Satoshi Oue, Shannon L. Walston, Yuta Nonomiya, Ayumi Shintani, Yukio Miki, Daiju Ueda
    European Radiology 2024 35 4
  • Health Economic Impact of Software-Assisted Brain MRI on Therapeutic Decision-Making and Outcomes of Relapsing-Remitting Multiple Sclerosis Patients—A Microsimulation Study
    Diana M. Sima, Giovanni Esposito, Wim Van Hecke, Annemie Ribbens, Guy Nagels, Dirk Smeets
    Brain Sciences 2021 11 12
  • Prediction of on-treatment disability worsening in RRMS with the MAGNIMS score
    Amy Kunchok, Jeannette Lechner-Scott, Franco Granella, Maria Trojano, Raed Alroughani, Patrizia Sola, Diana Ferraro, Alessandra Lugaresi, Marco Onofrj, Serkan Ozakbas, Guillermo Izquierdo, Pierre Grammond, Jose Luis Sanchez-Menoyo, Bart Van Wijmeersch, Cavit Boz, Eugenio Pucci, Pamela McCombe, Francois Grand’Maison, Daniele Spitaleri, Steve Vucic, Raymond Hupperts, Vilija Jokubaitis, Maria Pia Sormani, Helmut Butzkueven, Tomas Kalincik
    Multiple Sclerosis Journal 2021 27 5
  • Computer-Aided Detection Can Bridge the Skill Gap in Multiple Sclerosis Monitoring
    Ariel Dahan, Wayland Wang, Frank Gaillard
    Journal of the American College of Radiology 2018 15 1
  • The contemporary role of MRI in the monitoring and management of people with multiple sclerosis in the UK
    Linford Fernandes, Christopher Martin Allen, Thomas Williams, Emma Tallantyre, Nikos Evangelou, Jeremy Chataway, Helen L. Ford
    Multiple Sclerosis and Related Disorders 2021 55
  • Prevalence, Severity, and Clinical Management of Brain Incidental Findings in Healthy Young Adults: MRi-Share Cross-Sectional Study
    Aïcha Soumaré, Naka Beguedou, Alexandre Laurent, Bruno Brochet, Constance Bordes, Sandy Mournet, Emmanuel Mellet, Edwige Pereira, Clothilde Pollet, Morgane Lachaize, Marie Mougin, Ami Tsuchida, Hugues Loiseau, Thomas Tourdias, Christophe Tzourio, Bernard Mazoyer, Stéphanie Debette
    Frontiers in Neurology 2021 12

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