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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.
Affiliation
  • Curaj A; Institute for Molecular Cardiovascular Research (IMCAR), RWTH Aachen University, Germany.
  • Pop-Fele L; Institute for Molecular Cardiovascular Research, University Hospital, RWTH Aachen, Germany.
  • Jovanovic M; Department of Medical Informatics, RWTH Aachen, Germany.
  • Jonas SM; Faculty of Electrical Engineering and Information Technology, University of Oradea, Oradea, Romania.
  • Moellmann J; Department of Medical Informatics, RWTH Aachen, Germany.
  • Ghertescu D; Department of Medical Informatics, RWTH Aachen, Germany.
  • Novac OC; Department of Cardiology and Pulmonology, Medical Faculty, RWTH Aachen University, Germany.
  • Rusu M; Cardiology Department, University of Medicine and Pharmacy, Targu Mures, Romania.
  • Liehn EA; Faculty of Electrical Engineering and Information Technology, University of Oradea, Oradea, Romania.
Discoveries (Craiova) ; 4(3): e66, 2016 Sep 30.
Article in En | MEDLINE | ID: mdl-32309585
ABSTRACT
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.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Discoveries (Craiova) Year: 2016 Document type: Article Affiliation country: Alemania

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Discoveries (Craiova) Year: 2016 Document type: Article Affiliation country: Alemania