Document Detail


Some probability models for diagnosing neurogenic disorders.
MedLine Citation:
PMID:  3235877     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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.
Authors:
B C Wilson; D Y Downham; J Lexell; M Sjöström
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  IMA journal of mathematics applied in medicine and biology     Volume:  5     ISSN:  0265-0746     ISO Abbreviation:  IMA J Math Appl Med Biol     Publication Date:  1988  
Date Detail:
Created Date:  1989-04-28     Completed Date:  1989-04-28     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  8704892     Medline TA:  IMA J Math Appl Med Biol     Country:  ENGLAND    
Other Details:
Languages:  eng     Pagination:  167-79     Citation Subset:  IM    
Affiliation:
Department of Statistics and Computational Mathematics, University of Liverpool, UK.
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MeSH Terms
Descriptor/Qualifier:
Humans
Models, Statistical*
Models, Theoretical*
Muscles / pathology*
Neuromuscular Diseases / diagnosis*,  pathology
Probability

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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