Second-order spatial analysis of epidermal nerve fibers
Artikel i vetenskaplig tidskrift, 2011

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.

diabetic neuropathy

spatial point/fiber processes

K function

skin blister

neurology

pair-correlation function

point patterns

cells

Författare

L. A. Waller

Rollins School of Public Health

Aila Särkkä

Göteborgs universitet

Chalmers, Matematiska vetenskaper, matematisk statistik

Viktor Olsbo

Chalmers, Matematiska vetenskaper, matematisk statistik

Göteborgs universitet

Mari Myllymäki

Aalto-Yliopisto

I. G. Panoutsopoulou

University of Minnesota

W. R. Kennedy

University of Minnesota

G. Wendelschafer-Crabb

University of Minnesota

Statistics in Medicine

0277-6715 (ISSN) 1097-0258 (eISSN)

Vol. 30 23 2827-2841

Ämneskategorier

Sannolikhetsteori och statistik

DOI

10.1002/sim.4315

Mer information

Senast uppdaterat

2018-06-12