ArticleIntestinal research2019
Quantitative histology-based classification system for assessment of the intestinal mucosal histological changes in patients with celiac disease.
Article in Intestinal research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Fabrication of an Anatomically Realistic Intestinal Phantom with Villous Microstructure.Bioengineering (Basel, Switzerland) · 2026Article
- A retrospective analysis of interobserver variability in 356 cases over a period 10 years: Celiac disease.Bioinformation · 2026Article
- Celiac Disease Deep Learning Image Classification Using Convolutional Neural Networks.Journal of imaging · 2024Article
- CD, or not CD, that is the question: a digital interobserver agreement study in coeliac disease.BMJ open gastroenterology · 2024Article
- Marsh's legacy and persistency in subjective interpretation of coeliac disease's histology.Gastroenterology and hepatology from bed to bench · 2023Article
- Gluten Induces Subtle Histological Changes in Duodenal Mucosa of Patients with Non-Coeliac Gluten Sensitivity: A Multicentre Study.Nutrients · 2022Article
- The global burden of coeliac disease: opportunities and challenges.Nature reviews. Gastroenterology & hepatology · 2022Review
- Case Report: Morphologic and Functional Characteristics of Intestinal Mucosa in a Child With Short Bowel Syndrome After Treatment With Teduglutide: Evidence in Favor of GLP-2 Analog Safety.Frontiers in nutrition · 2022Article
- Artificial intelligence in small intestinal diseases: Application and prospects.World journal of gastroenterology · 2021Review
- Opportunities and challenges in the management of celiac disease in Asia.JGH open : an open access journal of gastroenterology and hepatology · 2020Review
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17 authors.
Funding
Abstract
BACKGROUND/
aimsThe existing histological classifications for the interpretation of small intestinal biopsies are based on qualitative parameters with high intraobserver and interobserver variations. We have developed and propose a quantitative histological classification system for the assessment of intestinal mucosal biopsies.
methodsWe performed a computer-assisted quantitative histological assessment of digital images of duodenal biopsies from 137 controls and 124 patients with celiac disease (CeD) (derivation cohort). From the receiver-operating curve analysis, followed by multivariate and logistic regression analyses, we identified parameters for differentiating control biopsies from those of the patients with CeD. We repeated the quantitative histological analysis in a validation cohort (105 controls and 120 patients with CeD). On the basis of the results, we propose a quantitative histological classification system. The new classification was compared with the existing histological classifications for interobserver and intraobserver agreements by a group of qualified pathologists.
resultsAmong the histological parameters, intraepithelial lymphocyte count of ≥25/100 epithelial cells, adjusted villous height fold change of ≤0.7, and crypt depth-to-villous height ratio of ≥0.5 showed good discriminative power between the mucosal biopsies from the patients with CeD and those from the controls, with 90.3% sensitivity, 93.5% specificity, and 96.2% area under the curve. Among the existing histological classifications, our quantitative histological classification showed the highest intraobserver (69.7%-85.03%) and interobserver (24.6%-71.5%) agreements.
conclusionsQuantitative assessment increases the reliability of the histological assessment of mucosal biopsies in patients with CeD. Such a classification system may be used for clinical trials in patients with CeD. (Intest Res, Published online).
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