Journal article
Detection of the Onset of Multiple Sclerosis from SD-OCT Thickness Measurements of the Retinal Nerve Fiber Layer
Quality Engineering, Vol.25(1), pp.3-10
12/01/2012
DOI: 10.1080/08982112.2012.721042
Abstract
The cumulative sum (CUSUM) likelihood ratio detector (discussed in Lai [ 1995 ] and Frisen [ 2003 ]) can be used to monitor a process level against linear trend changes. In this article we discuss this detector and its relationship to the standard CUSUM, which guards against step changes in the level; provide software for its implementation; and present a case study that uses this method to detect the onset of multiple sclerosis. The thickness of the retinal nerve fiber layer has been suggested as a diagnostic measure for evaluating the progression of multiple sclerosis. Newly improved optical coherence tomography (OCT) instrumentation using scan averaging and alignment with a reference scan has reduced the short-term measurement variability in the retinal nerve fiber layer thickness to an extent that allows the proposed CUSUM likelihood ratio detector to detect clinically relevant changes over time. We show that this procedure detects such changes quickly and performs better than the traditional CUSUM technique that protects against step changes in the level.
Details
- Title: Subtitle
- Detection of the Onset of Multiple Sclerosis from SD-OCT Thickness Measurements of the Retinal Nerve Fiber Layer
- Creators
- Johannes Ledolter - C. Maxwell Stanley Professor of International Operations Management, Department of Management Science/Department of Statistics and Actuarial Science , University of Iowa and Department of Veterans Affairs Medical Center for the Prevention and Treatment of Visual LossRandy Kardon - Pomerantz Family Chair in Ophthalmology, Department of Ophthalmology and Visual Sciences , University of Iowa and Department of Veterans Affairs Medical Center for the Prevention and Treatment of Visual Loss
- Resource Type
- Journal article
- Publication Details
- Quality Engineering, Vol.25(1), pp.3-10
- DOI
- 10.1080/08982112.2012.721042
- ISSN
- 0898-2112
- eISSN
- 1532-4222
- Publisher
- Taylor & Francis Group
- Language
- English
- Date published
- 12/01/2012
- Academic Unit
- Statistics and Actuarial Science; Iowa Neuroscience Institute; Business Analytics; Ophthalmology and Visual Sciences
- Record Identifier
- 9983979916902771
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