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Shannon entropy as a reliable score to diagnose human fibroelastic degenerative mitral chords: a micro-ct ex-vivo study

Abstract: This paper is aimed at identifying by means of micro-CT the microstructural differences between normal and degenerative mitral marginal chordae tendineae. The control group is composed of 21 normal chords excised from 14 normal mitral valves from heart transplant recipients. The experimental group comprises 22 degenerative fibroelastic chords obtained at surgery from 11 pathological valves after mitral repair or replacement. In the control group the superficial endothelial cells and spongiosa layer remained intact, covering the wavy core collagen. In contrast, in the experimental group the collagen fibers were arranged as straightened thick bundles in a parallel configuration. 100 cross-sections were examined by micro-CT from each chord. Each image was randomized through the K-means machine learning algorithm and then, the global and local Shannon entropies were obtained. The optimum number of clusters, K, was estimated to maximize the differences between normal and degenerative chords in global and local Shannon entropy; the p-value after a nested ANOVA test was chosen as the parameter to be minimized. Optimum results were obtained with global Shannon entropy and 2<=K<=7, providing p < 0.01; for K=3, p = 2.86·10-3. These findings open the door to novel perioperative diagnostic methods in order to avoid or reduce postoperative mitral valve regurgitation recurrences.

 Autoría: Ferreño D., Revuelta J.M., Sainz-Aja J.A., Wert-Carvajal C., Casado J.A., Diego S., Carrascal I.A., Silva J., Gutiérrez-Solana F.,

 Fuente: Medical Engineering and Physics, 2022, 110, 103919

Editorial: Elsevier

 Fecha de publicación: 01/12/2022

Nº de páginas: 10

Tipo de publicación: Artículo de Revista

 DOI: 10.1016/j.medengphy.2022.103919

ISSN: 1350-4533,1873-4030

Proyecto español: DTS17/00056

Url de la publicación: https://doi.org/10.1016/j.medengphy.2022.103919