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Second-order spatial analysis of epidermal nerve fibers

Waller, L. A. (author)
Särkkä, Aila, 1962 (author)
Gothenburg University,Göteborgs universitet,Institutionen för matematiska vetenskaper, matematisk statistik,Department of Mathematical Sciences, Mathematical Statistics,University of Gothenburg,Chalmers tekniska högskola,Chalmers University of Technology
Olsbo, Viktor, 1972 (author)
Gothenburg University,Göteborgs universitet,Institutionen för matematiska vetenskaper, matematisk statistik,Department of Mathematical Sciences, Mathematical Statistics,Chalmers tekniska högskola,Chalmers University of Technology,University of Gothenburg
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Myllymaki, M. (author)
Aalto-Yliopisto,Aalto University
Panoutsopoulou, I. G. (author)
University of Minnesota
Kennedy, W. R. (author)
University of Minnesota
Wendelschafer-Crabb, G. (author)
University of Minnesota
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 (creator_code:org_t)
2011-08-08
2011
English.
In: Statistics in Medicine. - : Wiley. - 0277-6715 .- 1097-0258. ; 30:23, s. 2827-2841
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Breakthroughs in imaging of skin tissue reveal new details on the distribution of nerve fibers in the epidermis. Preliminary neurologic studies indicate qualitative differences in the spatial patterns of nerve fibers based on pathophysiologic conditions in the subjects. Of particular interest is the evolution of spatial patterns observed in the progression of diabetic neuropathy. It appears that the spatial distribution of nerve fibers becomes more 'clustered' as neuropathy advances, suggesting the possibility of diagnostic prediction based on patterns observed in skin biopsies. We consider two approaches to establish statistical inference relating to this observation. First, we view the set of locations where the nerves enter the epidermis from the dermis as a realization of a spatial point process. Secondly, we treat the set of fibers as a realization of a planar fiber process. In both cases, we use estimated second-order properties of the observed data patterns to describe the degree and scale of clustering observed in the microscope images of blister biopsies. We illustrate the methods using confocal microscopy blister images taken from the thigh of one normal (disease-free) individual and two images each taken from the thighs of subjects with mild, moderate, and severe diabetes and report measurable differences in the spatial patterns of nerve entry points/fibers associated with disease status.

Subject headings

NATURVETENSKAP  -- Matematik -- Sannolikhetsteori och statistik (hsv//swe)
NATURAL SCIENCES  -- Mathematics -- Probability Theory and Statistics (hsv//eng)

Keyword

spatial point/fiber processes
pair-correlation function
K function
neurology
diabetic neuropathy
point patterns
skin blister
cells
diabetic neuropathy

Publication and Content Type

ref (subject category)
art (subject category)

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