Fourier analysis of collagen bundle orientation in myocardial infarction scars.


Journal

Histochemistry and cell biology
ISSN: 1432-119X
Titre abrégé: Histochem Cell Biol
Pays: Germany
ID NLM: 9506663

Informations de publication

Date de publication:
Nov 2022
Historique:
accepted: 21 06 2022
pubmed: 11 8 2022
medline: 5 11 2022
entrez: 10 8 2022
Statut: ppublish

Résumé

Collagen bundle orientation (CBO) in myocardial infarct scars plays a major role in scar mechanics and complications after infarction. We aim to compare four histopathological methods for CBO measurement in myocardial scarring. Myocardial infarction was induced in 21 pigs by balloon coronary occlusion. Scar samples were obtained at 4 weeks, stained with Masson's trichrome, Picrosirius red, and Hematoxylin-Eosin (H&E), and photographed using light, polarized light microscopy, and confocal microscopy, respectively. Masson's trichrome images were also optimized to remove non-collagenous structures. Two observers measured CBO by means of a semi-automated, Fourier analysis protocol. Interrater reliability and comparability between techniques were studied by the intraclass correlation coefficient (ICC) and Bland-Altman (B&A) plots and limits of agreement. Fourier analysis showed an almost perfect interrater reliability for each technique (ICC ≥ 0.95, p < 0.001 in all cases). CBO showed more randomly oriented values in Masson's trichrome and worse comparability with other techniques (ICC vs. Picrosirius red: 0.79 [0.47-0.91], p = 0.001; vs. H&E-confocal: 0.70 [0.26-0.88], p = 0.005). However, optimized Masson's trichrome showed almost perfect agreement with Picrosirius red (ICC 0.84 [0.6-0.94], p < 0.001) and H&E-confocal (ICC 0.81 [0.54-0.92], p < 0.001), as well as these latter techniques between each other (ICC 0.84 [0.60-0.93], p < 0.001). In summary, a semi-automated, Fourier-based method can provide highly reproducible CBO measurements in four different histopathological techniques. Masson's trichrome tends to provide more randomly oriented CBO index values, probably due to non-specific visualization of non-collagenous structures. However, optimization of Masson's trichrome microphotographs to remove non-collagenous components provides an almost perfect comparability between this technique, Picrosirius red and H&E-confocal.

Identifiants

pubmed: 35948735
doi: 10.1007/s00418-022-02132-x
pii: 10.1007/s00418-022-02132-x
pmc: PMC9630212
doi:

Substances chimiques

C.I. direct red 80 1294D5G72N
Collagen 9007-34-5
Hematoxylin YKM8PY2Z55
Eosine Yellowish-(YS) TDQ283MPCW

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

471-483

Subventions

Organisme : Instituto de Salud Carlos III
ID : CM21/00175
Organisme : Instituto de Salud Carlos III
ID : FI18/00320
Organisme : Instituto de Salud Carlos III
ID : PI20/00637
Organisme : Agencia Estatal de Investigación
ID : FJC2020-043981-I/AEI/10.13039/501100011033
Organisme : Conselleria de Innovación, Universidades, Ciencia y Sociedad Digital, Generalitat Valenciana
ID : PROMETEO/2021/008

Informations de copyright

© 2022. The Author(s).

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Auteurs

Víctor Marcos-Garcés (V)

Department of Cardiology, Hospital Clínico Universitario de Valencia, Valencia, Spain.
INCLIVA Health Research Institute, Valencia, Spain.

Cesar Rios-Navarro (C)

INCLIVA Health Research Institute, Valencia, Spain.

Fabián Gómez-Torres (F)

Universidad Industrial de Santander, Escuela de Medicina, Bucaramanga, Colombia.

Jose Gavara (J)

INCLIVA Health Research Institute, Valencia, Spain.

Elena de Dios (E)

Center for Networked Biomedical Research-Cardiovascular (CIBER-CV), Madrid, Spain.

Ana Diaz (A)

Central Unit for Research in Medicine (UCIM), University of Valencia, Valencia, Spain.

Gema Miñana (G)

Department of Cardiology, Hospital Clínico Universitario de Valencia, Valencia, Spain.
INCLIVA Health Research Institute, Valencia, Spain.
Department of Medicine, University of Valencia, Valencia, Spain.

Francisco Javier Chorro (FJ)

Department of Cardiology, Hospital Clínico Universitario de Valencia, Valencia, Spain.
INCLIVA Health Research Institute, Valencia, Spain.
Center for Networked Biomedical Research-Cardiovascular (CIBER-CV), Madrid, Spain.
Department of Medicine, University of Valencia, Valencia, Spain.

Vicente Bodi (V)

Department of Cardiology, Hospital Clínico Universitario de Valencia, Valencia, Spain. vicente.bodi@uv.es.
INCLIVA Health Research Institute, Valencia, Spain. vicente.bodi@uv.es.
Center for Networked Biomedical Research-Cardiovascular (CIBER-CV), Madrid, Spain. vicente.bodi@uv.es.
Department of Medicine, University of Valencia, Valencia, Spain. vicente.bodi@uv.es.
Department of Cardiology, Hospital Clínico Universitario de Valencia, Valencia, Spain Instituto de Investigación Sanitaria del Hospital Clínico Universitario de Valencia (INCLIVA), Valencia, Spain. vicente.bodi@uv.es.
Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBER-CV), Madrid, Spain. vicente.bodi@uv.es.
Department of Medicine, Faculty of Medicine and Odontology, University of Valencia, Blasco Ibanez 17, 46010, Valencia, Spain. vicente.bodi@uv.es.

Amparo Ruiz-Sauri (A)

INCLIVA Health Research Institute, Valencia, Spain. amparo.ruiz-sauri@uv.es.
Department of Pathology, University of Valencia, Valencia, Spain. amparo.ruiz-sauri@uv.es.
Departamento de Patología, Facultad de Medicina y Odontología, Universitat de València, Avda/Blasco Ibáñez nº15, 46010, València, Spain. amparo.ruiz-sauri@uv.es.

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