Deciphering microvascular changes after myocardial infarction through 3D fully automated image analysis

Gkontra, Polyxeni and Norton, Kerri-Ann and Zak, Magdalena M. and Clemente Toribio, Cristina and Agüero Ramón-Llin, Jaume and Ibáñez Cabeza, Borja and Santos Lleo, Andres de and Popel, Aleksander S. and García Arroyo, Alicia (2018). Deciphering microvascular changes after myocardial infarction through 3D fully automated image analysis. "Scientific Reports", v. 8 (n. 1854); pp. 1-19. ISSN 2045-2322. https://doi.org/10.1038/s41598-018-19758-4.

Description

Title: Deciphering microvascular changes after myocardial infarction through 3D fully automated image analysis
Author/s:
  • Gkontra, Polyxeni
  • Norton, Kerri-Ann
  • Zak, Magdalena M.
  • Clemente Toribio, Cristina
  • Agüero Ramón-Llin, Jaume
  • Ibáñez Cabeza, Borja
  • Santos Lleo, Andres de
  • Popel, Aleksander S.
  • García Arroyo, Alicia
Item Type: Article
Título de Revista/Publicación: Scientific Reports
Date: January 2018
ISSN: 2045-2322
Volume: 8
Subjects:
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Ingeniería Electrónica
Creative Commons Licenses: Recognition - No derivative works - Non commercial

Full text

[img]
Preview
PDF - Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (10MB) | Preview

Abstract

The microvasculature continuously adapts in response to pathophysiological conditions to meet tissue demands. Quantitative assessment of the dynamic changes in the coronary microvasculature is therefore crucial in enhancing our knowledge regarding the impact of cardiovascular diseases in tissue perfusion and in developing efficient angiotherapies. Using confocal microscopy and thick tissue sections, we developed a 3D fully automated pipeline that allows to precisely reconstruct the microvasculature and to extract parameters that quantify all its major features, its relation to smooth muscle actin positive cells and capillary diffusion regions. The novel pipeline was applied in the analysis of the coronary microvasculature from healthy tissue and tissue at various stages after myocardial infarction (MI) in the pig model, whose coronary vasculature closely resembles that of human tissue. We unravelled alterations in the microvasculature, particularly structural changes and angioadaptation in the aftermath of MI. In addition, we evaluated the extracted knowledge's potential for the prediction of pathophysiological conditions in tissue, using different classification schemes. The high accuracy achieved in this respect, demonstrates the ability of our approach not only to quantify and identify pathology-related changes of microvascular beds, but also to predict complex and dynamic microvascular patterns.

Funding Projects

TypeCodeAcronymLeaderTitle
FP7608027CardioNextUnspecifiedNext generation training in cardiovascular research and innovation
Government of SpainTEC2015-66978-RUnspecifiedUnspecifiedTecnología óptica para elastografía del tejido
Government of SpainSAF2014-52050-RUnspecifiedUnspecifiedComponentes celulares y moleculares de la angiogénesis en el contexto inflamatorio
Government of SpainSAF2013-49663-EXPUnspecifiedUnspecifiedInfarto agudo de miocardio: detener la isquemia sin restablecer el flujo sanguíneo. Desafío a un paradigma universal

More information

Item ID: 54856
DC Identifier: http://oa.upm.es/54856/
OAI Identifier: oai:oa.upm.es:54856
DOI: 10.1038/s41598-018-19758-4
Official URL: https://www.nature.com/articles/s41598-018-19758-4
Deposited by: Memoria Investigacion
Deposited on: 06 May 2019 16:02
Last Modified: 06 May 2019 16:02
  • Logo InvestigaM (UPM)
  • Logo GEOUP4
  • Logo Open Access
  • Open Access
  • Logo Sherpa/Romeo
    Check whether the anglo-saxon journal in which you have published an article allows you to also publish it under open access.
  • Logo Dulcinea
    Check whether the spanish journal in which you have published an article allows you to also publish it under open access.
  • Logo de Recolecta
  • Logo del Observatorio I+D+i UPM
  • Logo de OpenCourseWare UPM