Can the sensitivity of the histopathological diagnosis of coeliac disease be increased and can treatment progression be monitored using mathematical modelling of histological sections? - A pilot study

Title
Can the sensitivity of the histopathological diagnosis of coeliac disease be increased and can treatment progression be monitored using mathematical modelling of histological sections? - A pilot study
Publication Date
2017
Author(s)
Charlesworth, Richard P G
( author )
OrcID: https://orcid.org/0000-0002-4557-1419
Email: rcharle3@une.edu.au
UNE Id une-id:rcharle3
Andronicos, Nicholas M
( author )
OrcID: https://orcid.org/0000-0001-5881-2296
Email: nandroni@une.edu.au
UNE Id une-id:nandroni
Scott, David R
McFarlane, James R
( author )
OrcID: https://orcid.org/0000-0003-4429-5384
Email: jmcfarla@une.edu.au
UNE Id une-id:jmcfarla
Agnew, Linda L
( author )
OrcID: https://orcid.org/0000-0002-2803-0995
Email: lagnew2@une.edu.au
UNE Id une-id:lagnew2
Type of document
Journal Article
Language
en
Entity Type
Publication
Publisher
Elsevier Urban & Partner Sp
Place of publication
Poland
DOI
10.1016/j.advms.2016.06.002
UNE publication id
une:21038
Abstract
Purpose: The aim of this pilot study was to attempt to define a set of equations from histological observations of tissue affected with coeliac disease (CD) to predict Marsh score. Material/methods: Tissue from 15 patients with untreated CD, 6 patients with treated CD and 9 healthy control patients were stained using the standard H&E, Giemsa's staining for tissue sections and Alcian Blue protocols. A number of histological measures were then taken from each section and the data was used to ultimately design a set of linear predictive algorithms to calculate Marsh score. Results: Using MANOVA and discriminant analysis, two linear functions were defined which could accurately predict the Marsh score of patients 62.5% (full Marsh score) to 79.2% (simplified Marsh score) of the time. Conclusions: This pilot study has shown that a set of objective histological measures can be used to define algorithms to predict Marsh score in CD patients and also monitor treatment compliance and progression.
Link
Citation
Advances in Medical Sciences, 62(1), p. 136-142
ISSN
1898-4002
1896-1126
Start page
136
End page
142

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