Histopathological validation of semi-automated myocardial scar quantification techniques for dark-blood late gadolinium enhancement magnetic resonance imaging

H.M.J.M. Nies*, S. Gommers, G.P. Bijvoet, L.I.B. Heckman, F.W. Prinzen, G. Vogel, C.M. Van de Heyning, A. Chiribiri, J.E. Wildberger, C. Mihl, R.J. Holtackers

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

Aims To evaluate the performance of various semi-automated techniques for quantification of myocardial infarct size on both conventional bright-blood and novel dark-blood late gadolinium enhancement (LGE) images using histopathology as reference standard. Methods and results In 13 Yorkshire pigs, reperfused myocardial infarction was experimentally induced. At 7 weeks post-infarction, both bright-blood and dark-blood LGE imaging were performed on a 1.5 T magnetic resonance scanner. Following magnetic resonance imaging (MRI), the animals were sacrificed, and histopathology was obtained. The percentage of infarcted myocardium was assessed per slice using various semi-automated scar quantification techniques, including the signal threshold vs. reference mean (STRM, using 3 to 8 SDs as threshold) and full-width at half-maximum (FWHM) methods, as well as manual contouring, for both LGE methods. Infarct size obtained by histopathology was used as reference. In total, 24 paired LGE MRI slices and histopathology samples were available for analysis. For both bright-blood and dark-blood LGE, the STRM method with a threshold of 5 SDs led to the best agreement to histopathology without significant bias (-0.23%, 95% CI [-2.99, 2.52%], P = 0.862 and -0.20%, 95% CI [-2.12, 1.72%], P = 0.831, respectively). Manual contouring significantly underestimated infarct size on bright-blood LGE (-1.57%, 95% CI [-2.96, -0.18%], P = 0.029), while manual contouring on dark-blood LGE outperformed semi-automated quantification and demonstrated the most accurate quantification in this study (-0.03%, 95% CI [-0.22, 0.16%], P = 0.760). Conclusion The signal threshold vs. reference mean method with a threshold of 5 SDs demonstrated the most accurate semi-automated quantification of infarcted myocardium, without significant bias compared to histopathology, for both conventional bright-blood and novel dark-blood LGE.
Original languageEnglish
Pages (from-to)364-372
Number of pages9
JournalEuropean Heart Journal Cardiovascular Imaging
Volume24
Issue number3
Early online date20 Jun 2022
DOIs
Publication statusPublished - 17 Feb 2023

Keywords

  • late gadolinium enhancement
  • magnetic resonance imaging
  • myocardial infarction
  • semi-automated scar quantification
  • dark-blood late gadolinium enhancement
  • AUTOMATED FEATURE ANALYSIS
  • INFARCT SIZE
  • DELAYED ENHANCEMENT
  • CONTRAST ENHANCEMENT
  • IRREVERSIBLE INJURY
  • MRI
  • HYPERENHANCEMENT
  • IMPACT
  • EXTENT
  • RISK

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