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Advanced modular automated calculation of the morpho-histological parameters in myocardial infarction
Myocardial infarction represents the most investigated pathology. Heart tissues are histologically assayed on a routine base in clinical laboratories. However, the lack of a standard operation procedure for e.g. calculating the size of the infarcted area of myocardium, may lead to an increased error...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Applied Systems srl
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6941562/ https://www.ncbi.nlm.nih.gov/pubmed/32309585 http://dx.doi.org/10.15190/d.2016.13 |
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author | Curaj, Adelina Pop-Fele, Lucian Jovanovic, Marko Jonas, Stephan Michael Moellmann, Julia Ghertescu, Doina Novac, Ovidiu Constantin Rusu, Mihaela Liehn, Elisa A. |
author_facet | Curaj, Adelina Pop-Fele, Lucian Jovanovic, Marko Jonas, Stephan Michael Moellmann, Julia Ghertescu, Doina Novac, Ovidiu Constantin Rusu, Mihaela Liehn, Elisa A. |
author_sort | Curaj, Adelina |
collection | PubMed |
description | Myocardial infarction represents the most investigated pathology. Heart tissues are histologically assayed on a routine base in clinical laboratories. However, the lack of a standard operation procedure for e.g. calculating the size of the infarcted area of myocardium, may lead to an increased errors’ interval, with little correlation between results of a same tissue and/or with other pathophysiological parameters. This creates a clear barrier for further development of novel therapeutic strategies. In the present study, we present the robust applicability of a novel methodology such as: advanced modular automated calculation of (i) the size of infarcted heart of mice, (ii) the net collagen content present in the scar, and (iii) the interstitial fibrosis in remote, which are simultaneously performed. The new approach of defining the infarct size, one of the important predictor of every cardiac therapeutic intervention, will create a positive impact in the research accuracy. Additionally, it will be expected that the readily assembled reports of simultaneously computed parameters and its user-friendly operation allow an efficient and effective estimation of measurements. |
format | Online Article Text |
id | pubmed-6941562 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Applied Systems srl |
record_format | MEDLINE/PubMed |
spelling | pubmed-69415622020-04-17 Advanced modular automated calculation of the morpho-histological parameters in myocardial infarction Curaj, Adelina Pop-Fele, Lucian Jovanovic, Marko Jonas, Stephan Michael Moellmann, Julia Ghertescu, Doina Novac, Ovidiu Constantin Rusu, Mihaela Liehn, Elisa A. Discoveries (Craiova) Original Article Myocardial infarction represents the most investigated pathology. Heart tissues are histologically assayed on a routine base in clinical laboratories. However, the lack of a standard operation procedure for e.g. calculating the size of the infarcted area of myocardium, may lead to an increased errors’ interval, with little correlation between results of a same tissue and/or with other pathophysiological parameters. This creates a clear barrier for further development of novel therapeutic strategies. In the present study, we present the robust applicability of a novel methodology such as: advanced modular automated calculation of (i) the size of infarcted heart of mice, (ii) the net collagen content present in the scar, and (iii) the interstitial fibrosis in remote, which are simultaneously performed. The new approach of defining the infarct size, one of the important predictor of every cardiac therapeutic intervention, will create a positive impact in the research accuracy. Additionally, it will be expected that the readily assembled reports of simultaneously computed parameters and its user-friendly operation allow an efficient and effective estimation of measurements. Applied Systems srl 2016-09-30 /pmc/articles/PMC6941562/ /pubmed/32309585 http://dx.doi.org/10.15190/d.2016.13 Text en Copyright © 2016, Applied Systems http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Curaj, Adelina Pop-Fele, Lucian Jovanovic, Marko Jonas, Stephan Michael Moellmann, Julia Ghertescu, Doina Novac, Ovidiu Constantin Rusu, Mihaela Liehn, Elisa A. Advanced modular automated calculation of the morpho-histological parameters in myocardial infarction |
title | Advanced modular automated calculation of the morpho-histological parameters in myocardial infarction |
title_full | Advanced modular automated calculation of the morpho-histological parameters in myocardial infarction |
title_fullStr | Advanced modular automated calculation of the morpho-histological parameters in myocardial infarction |
title_full_unstemmed | Advanced modular automated calculation of the morpho-histological parameters in myocardial infarction |
title_short | Advanced modular automated calculation of the morpho-histological parameters in myocardial infarction |
title_sort | advanced modular automated calculation of the morpho-histological parameters in myocardial infarction |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6941562/ https://www.ncbi.nlm.nih.gov/pubmed/32309585 http://dx.doi.org/10.15190/d.2016.13 |
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