Research ArticleAdult Brain
PACS Integration of Semiautomated Imaging Software Improves Day-to-Day MS Disease Activity Detection
A. Dahan, R. Pereira, C.B. Malpas, T. Kalincik and F. Gaillard
American Journal of Neuroradiology October 2019, 40 (10) 1624-1629; DOI: https://doi.org/10.3174/ajnr.A6195
A. Dahan
aFrom the Department of Radiology (A.D.), Austin Hospital, Heidelberg, Australia
R. Pereira
bDepartments of Radiology (R.P., F.G.)
dDepartment of Radiology (R.P.), University of Queensland, Brisbane, Queensland, Australia
C.B. Malpas
cNeurology (T.K., C.M.), Royal Melbourne Hospital, Parkville, Victoria, Australia
eClinical Outcomes Research Unit (CORe) (C.M., T.K.)
T. Kalincik
cNeurology (T.K., C.M.), Royal Melbourne Hospital, Parkville, Victoria, Australia
eClinical Outcomes Research Unit (CORe) (C.M., T.K.)
F. Gaillard
bDepartments of Radiology (R.P., F.G.)
fDepartments of Medicine and Radiology (F.G.), University of Melbourne, Melbourne, Australia.

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In this issue
American Journal of Neuroradiology
Vol. 40, Issue 10
1 Oct 2019
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A. Dahan, R. Pereira, C.B. Malpas, T. Kalincik, F. Gaillard
PACS Integration of Semiautomated Imaging Software Improves Day-to-Day MS Disease Activity Detection
American Journal of Neuroradiology Oct 2019, 40 (10) 1624-1629; DOI: 10.3174/ajnr.A6195
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