3 results on '"Gommers, Suzanne"'
Search Results
2. Histopathological validation of semi-automated myocardial scar quantification techniques for dark-blood late gadolinium enhancement magnetic resonance imaging.
- Author
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Nies, Hedwig M J M, Gommers, Suzanne, Bijvoet, Geertruida P, Heckman, Luuk I B, Prinzen, Frits W, Vogel, Gaston, Heyning, Caroline M Van De, Chiribiri, Amedeo, Wildberger, Joachim E, Mihl, Casper, and Holtackers, Robert J
- Subjects
MYOCARDIAL infarction diagnosis ,REFERENCE values ,MYOCARDIUM ,CONFIDENCE intervals ,SCARS ,ANIMAL experimentation ,MAGNETIC resonance imaging ,CONTRAST media ,MYOCARDIAL infarction ,SWINE ,DIAGNOSTIC imaging ,CHEMICAL elements ,COMPARATIVE studies ,HISTOLOGICAL techniques ,RADIATION doses ,DESCRIPTIVE statistics ,ANALYTICAL chemistry techniques ,SENSITIVITY & specificity (Statistics) ,EVALUATION - 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. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
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3. Histopathological Validation of Dark‐Blood Late Gadolinium Enhancement MRI Without Additional Magnetization Preparation.
- Author
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Holtackers, Robert J., Gommers, Suzanne, Heckman, Luuk I.B., Van De Heyning, Caroline M., Chiribiri, Amedeo, and Prinzen, Frits W.
- Subjects
HISTOPATHOLOGY ,CORONARY occlusion ,MAGNETIC resonance imaging ,CARDIAC magnetic resonance imaging ,GADOLINIUM ,YORKSHIRE swine - Abstract
Background: Conventional bright‐blood late gadolinium enhancement (LGE) cardiac magnetic resonance imaging (MRI) often suffers from poor scar‐to‐blood contrast due to the bright blood pool adjacent to the enhanced scar tissue. Recently, a dark‐blood LGE method was developed which increases scar‐to‐blood contrast without using additional magnetization preparation. Purpose We aim to histopathologically validate this dark‐blood LGE method in a porcine animal model with induced myocardial infarction (MI). Study Type: Prospective. Animal Model: Thirteen female Yorkshire pigs. Field Strength/Sequence: 1.5 T, two‐dimensional phase‐sensitive inversion‐recovery radiofrequency‐spoiled turbo field‐echo. Assessment MI was experimentally induced by transient coronary artery occlusion. At 1‐week and 7‐week post‐infarction, in‐vivo cardiac MRI was performed including conventional bright‐blood and novel dark‐blood LGE. Following the second MRI examination, the animals were sacrificed, and histopathology was obtained. Matching LGE slices and histopathology samples were selected based on anatomical landmarks. Independent observers, while blinded to other data, manually delineated the endocardial, epicardial, and infarct borders on either LGE images or histopathology samples. The percentage of infarcted left‐ventricular myocardium was calculated for both LGE methods on a per‐slice basis, and compared with histopathology as reference standard. Contrast‐to‐noise ratios were calculated for both LGE methods at 1‐week and 7‐week post‐infarction. Statistical Tests: Pearson's correlation coefficient and paired‐sample t‐tests were used. Significance was set at P < 0.05. Results: A combined total of 24 matched LGE and histopathology slices were available for histopathological validation. Dark‐blood LGE demonstrated a high level of agreement compared to histopathology with no significant bias (−0.03%, P = 0.75). In contrast, bright‐blood LGE showed a significant bias of −1.57% (P = 0.03) with larger 95% limits of agreement than dark‐blood LGE. Image analysis demonstrated significantly higher scar‐to‐blood contrast for dark‐blood LGE compared to bright‐blood LGE, at both 1‐week and 7‐weeks post‐infarction. Data Conclusion: Dark‐blood LGE without additional magnetization preparation provides superior visualization and quantification of ischemic scar compared to the current in vivo reference standard. Level of Evidence: 1 Technical Efficacy Stage: 2 [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
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