Predictive Value of Lesions for Relapses in Relapsing-remitting Multiple Sclerosis
James A. Koziol
,a,
Simone Wagnera,
David F. Sobela,
Lloyd S. Slivkaa,
John S. Rominea,
Jack C. Sipea and
Hans-Peter Adamsa
a From the Department of Molecular and Experimental Medicine (J.A.K., S.W., L.S.S., J.C.S., H.-P.A.), The Scripps Research Institute, the Department of Radiology (D.F.S.) and the Division of Neurology (J.S.R., J.C.S.), Scripps Clinic, La Jolla, CA, and the Department of Neurology (S.W.), Ruprecht-Karls University, Heidelberg, Germany.

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FIG 1. Summary operating characteristics and associated 95% confidence intervals for MR markers (OR combination) relative to the occurrence of subsequent relapse. Month denotes the number of months and MR images preceding the event time point. MR markers are combined across each of these time segments of months using the OR function. If the MR marker is present in any of the preceding months, the marker is set to 1; if absent in all months, the marker is set to 0
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FIG 2. Summary operating characteristics and associated 95% confidence intervals for MR markers (AND combination) relative to the occurrence of a subsequent relapse. Month denotes the number of months and MR images preceding the event. MR markers are combined across each of these time segments of months using the AND function. That is, if the MR marker is present in all of the preceding months, the marker is set to 1; if absent in any of the months, the marker is set to 0.
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