New endomicroscopic computer-based algorithm for the differential diagnosis of inflammatory bowel diseases

Introduction : unclassified inflammatory bowel disease (UIBD) remains a contreversial subject and up to 10% of IBD patients may still not receive an optimal therapy. In this contexte, endomicroscopy appears as a promising tool; but despite an increasing number indications, a great heterogeneity of u...

Description complète

Détails bibliographiques
Auteur principal : David Grégoire (Auteur)
Collectivités auteurs : Université de Nantes 1962-2021 (Organisme de soutenance), Nantes Université Pôle Santé UFR Médecine et Techniques Médicales Nantes (Organisme de soutenance)
Autres auteurs : Brégeon Jérémy (Directeur de thèse)
Format : Thèse ou mémoire
Langue : français
Titre complet : New endomicroscopic computer-based algorithm for the differential diagnosis of inflammatory bowel diseases / Grégoire David; sous la direction de Jérémy Brégeon
Publié : 2017
Description matérielle : 1 vol. (67 f.)
Note de thèse : Thèse d'exercice : Médecine. Gastro-entérologie et hépatologie : Nantes : 2017
Sujets :
Documents associés : Reproduit comme: New endomicroscopic computer-based algorithm for the differential diagnosis of inflammatory bowel diseases
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330 |a Introduction : unclassified inflammatory bowel disease (UIBD) remains a contreversial subject and up to 10% of IBD patients may still not receive an optimal therapy. In this contexte, endomicroscopy appears as a promising tool; but despite an increasing number indications, a great heterogeneity of use persists and it remains an expert technique. Objectives : to define new computer-based quantitative and objective endomicroscopic bio-markers and assess the positive and differential diagnosis of IBD. Methods : We analyzed a total of 409 movies recorded among 59 patients (9 controls, 23 Crohn s disease (CD) and 27 ulcerative colitis(UC)). The comparison between groups was done using thirteen architectural parameters: the perimeter, the sphericity, the roundness, the elongation factor, the maximal Feret diameter, the Ma/ma ratio, the density, the average and minimal inter-cryptic distance (AICD and MICD), the wall thickness, the mean area, length and diameter of the vessels and a functionnal parameter: the fluorescein leakage through the colonic mucosa (FLCM). Results : using the parameters described here and computer-based analysis, we developed two scoring systems : the IBDiag score that allowed the positive diagnosis of IBD among control patients in 100% of cases and the IBDif score for the differential diagnosis between UC and CD in remission with a sensitivity of 92.3% and a specificity of 91.3%. Conclusion : quantitative and objective parameters can diagnose IBD and differentiate UC from CD. This observation confirm the potential of endomicroscopy in this indication and the possibility to overcome the observer expertise by computerized measures. 
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