Quantitative assessment of myocardial fibrosis by digital image analysis: An adjunctive tool for pathologist "ground truth".

Journal: Cardiovascular pathology : the official journal of the Society for Cardiovascular Pathology
PMID: 37127060

Abstract

AIMS: Myocardial fibrosis (MF) is a common pathological process in a wide range of cardiovascular diseases. Its quantity has diagnostic and prognostic relevance. We aimed to assess if the complementary use of an automated artificial intelligence software might improve the precision of the pathologist´s quantification of MF on endomyocardial biopsies (EMB).

Authors

  • João Abecasis
    Cardiology Department, Hospital de Santa Cruz, Lisboa, Portugal; Faculdade de Ciências Médicas, Nova Medical School, Portugal. Electronic address: joaoabecasis@hotmail.com.
  • Nuno Cortez-Dias
    Cardiology Department, Hospital de Santa Maria, Centro Hospitalar Universitário Lisboa Norte, Faculdade de Medicina de Lisboa, Portugal.
  • Daniel Gomes Pinto
    Faculdade de Ciências Médicas, Nova Medical School, Portugal; Pathology Department, Hospital Garcia de Orta, Almada, Portugal.
  • Pedro Lopes
    Cardiology Department, Hospital de Santa Cruz, Lisboa, Portugal.
  • Márcio Madeira
    Cardiac Surgery Department, Hospital de Santa Cruz, Lisboa, Portugal.
  • Sancia Ramos
    Pathology Department, Hospital de Santa Cruz, Lisboa, Portugal.
  • Victor Gil
    Department of Cardiology, Hospital Professor Fernando Fonseca, IC19, Amadora, 2720-276, Lisbon, Portugal.
  • Nuno Cardim
    Faculdade de Ciências Médicas, Nova Medical School, Portugal.
  • Ana Félix
    Faculdade de Ciências Médicas, Nova Medical School, Portugal; Pathology Department, IPOFG, Lisboa, Portugal.

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