Charlesworth, Richard P G

Andronicos, Nicholas M

Scott, David R

McFarlane, James R

Agnew, Linda L

2017

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.

Advances in Medical Sciences, 62(1), p. 136-142

1898-4002

1896-1126

https://hdl.handle.net/1959.11/20845

en

Elsevier Urban & Partner Sp

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

Journal Article

Publication