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Some probability models for diagnosing neurogenic disorders

Wilson, B C; Downham, D Y; Lexell, Jan LU and Sjöström, M (1988) In Ima Journal of Mathematics Applied in Medicine and Biology 5(3). p.167-179
Abstract
Healthy human skeletal muscles are composed of two distinguishable types of fibre, apparently randomly arranged within fascicles (bundles of fibres surrounded by connective tissue). Large groups of fibres of the same type indicate a neurogenic muscle disorder. An objective method for detecting nonrandom arrangements of fibres could improve the diagnosis of such disorders, particularly at an early stage. The number of enclosed fibres (NEF)--fibres surrounded by others of the same type--is considered here as a measure of nonrandomness. The distribution of NEF is shown to be approximately negative binomial for a non-free-sampling model, which is then compared with a free-sampling model studied previously. A modification for a known boundary... (More)
Healthy human skeletal muscles are composed of two distinguishable types of fibre, apparently randomly arranged within fascicles (bundles of fibres surrounded by connective tissue). Large groups of fibres of the same type indicate a neurogenic muscle disorder. An objective method for detecting nonrandom arrangements of fibres could improve the diagnosis of such disorders, particularly at an early stage. The number of enclosed fibres (NEF)--fibres surrounded by others of the same type--is considered here as a measure of nonrandomness. The distribution of NEF is shown to be approximately negative binomial for a non-free-sampling model, which is then compared with a free-sampling model studied previously. A modification for a known boundary effect is also investigated. The models are applied to data from m. vastus lateralis obtained post mortem from 24 previously healthy men. Finally, the relationship between size of biopsy and the accuracy of predictions is discussed. (Less)
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author
publishing date
type
Contribution to journal
publication status
published
subject
in
Ima Journal of Mathematics Applied in Medicine and Biology
volume
5
issue
3
pages
167 - 179
publisher
Oxford University Press
external identifiers
  • pmid:3235877
  • scopus:77957184829
ISSN
0265-0746
DOI
10.1093/imammb/5.3.167
language
English
LU publication?
no
id
b1384b8d-b488-436f-8078-6d36c9228648 (old id 1104283)
date added to LUP
2008-08-07 14:19:56
date last changed
2017-01-01 07:28:12
@article{b1384b8d-b488-436f-8078-6d36c9228648,
  abstract     = {Healthy human skeletal muscles are composed of two distinguishable types of fibre, apparently randomly arranged within fascicles (bundles of fibres surrounded by connective tissue). Large groups of fibres of the same type indicate a neurogenic muscle disorder. An objective method for detecting nonrandom arrangements of fibres could improve the diagnosis of such disorders, particularly at an early stage. The number of enclosed fibres (NEF)--fibres surrounded by others of the same type--is considered here as a measure of nonrandomness. The distribution of NEF is shown to be approximately negative binomial for a non-free-sampling model, which is then compared with a free-sampling model studied previously. A modification for a known boundary effect is also investigated. The models are applied to data from m. vastus lateralis obtained post mortem from 24 previously healthy men. Finally, the relationship between size of biopsy and the accuracy of predictions is discussed.},
  author       = {Wilson, B C and Downham, D Y and Lexell, Jan and Sjöström, M},
  issn         = {0265-0746},
  language     = {eng},
  number       = {3},
  pages        = {167--179},
  publisher    = {Oxford University Press},
  series       = {Ima Journal of Mathematics Applied in Medicine and Biology},
  title        = {Some probability models for diagnosing neurogenic disorders},
  url          = {http://dx.doi.org/10.1093/imammb/5.3.167},
  volume       = {5},
  year         = {1988},
}