Magnetic resonance microscopy and correlative histopathology of the infarcted heart

Autores de INCLIVA

• César Rios Navarro

  Autor

• Elena Victoria De Dios Lluch

  Autor

• Jose Manuel Morales Tatay

  Autor

• Josep Gavara Doñate

  Autor

• Nerea Júlia Pérez Solé

  Autor

• Ana Diaz Cuevas

  Autor

• Gema Miñana Escriva

  Autor

• 

  Clara Bonanad Lozano

  Autor

• 

  Julio Nuñez Villota

  Autor

• 

  Francisco Javier Chorro Gascó

  Autor

• 

  Amparo Ruiz Sauri

  Autor

• 

  Vicent Bodí Peris

  Autor

• 

  Daniel Monleon Salvado

  Autor

Participantes ajenos a INCLIVA

• Perez-Terol, I
• Segura-Sabater, R
• Bayes-Genis, A
• Husser, O
• Monmeneu, JV
• Lopez-Lereu, MP

Grupos y Plataformas de I+D+i

• Grupo de investigación en Cardiología Clínica

  

  Leading Researcher

  Juan Sanchis Fores

• Grupo de Investigación en Electrofisiología cardiaca experimental

  

  Leading Researcher

  Antonio M. Alberola Aguilar

• Grupo de Investigación en Histopatología e Ingeniería Tisular

  

  Leading Researcher

  Manuel Mata Roig

• Grupo de Investigación en Imagen Molecular y Metabolómica

  

  Leading Researcher

  Daniel Monleon Salvado

• Grupo de Investigación Traslacional en Cardiopatía Isquémica

  

  Leading Researcher

  Vicent Bodí Peris

Abstract

Delayed enhancement cardiovascular magnetic resonance (MR) is the gold-standard for non-invasive assessment after myocardial infarction (MI). MR microscopy (MRM) provides a level of detail comparable to the macro objective of light microscopy. We used MRM and correlative histopathology to identify infarct and remote tissue in contrast agent-free multi-sequence MRM in swine MI hearts. One control group (n = 3 swine) and two experimental MI groups were formed: 90 min of ischemia followed by 1 week (acute MI = 6 swine) or 1 month (chronic MI = 5 swine) reperfusion. Representative samples of each heart were analysed by contrast agent-free multi-sequence (T1-weighting, T2-weighting, T2*-weighting, T2-mapping, and T2*-mapping). MRM was performed in a 14-Tesla vertical axis imager (Bruker-AVANCE 600 system). Images from MRM and the corresponding histopathological stained samples revealed differences in signal intensities between infarct and remote areas in both MI groups (p-value < 0.001). The multivariable models allowed us to precisely classify regions of interest (acute MI: specificity 92% and sensitivity 80%; chronic MI: specificity 100% and sensitivity 98%). Probabilistic maps based on MRM images clearly delineated the infarcted regions. As a proof of concept, these results illustrate the potential of MRM with correlative histopathology as a platform for exploring novel contrast agent-free MR biomarkers after MI.

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