Histopathological validation of semi-automated myocardial scar quantification techniques for dark-blood late gadolinium enhancement magnetic resonance imaging
| العنوان: | Histopathological validation of semi-automated myocardial scar quantification techniques for dark-blood late gadolinium enhancement magnetic resonance imaging |
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| المؤلفون: | Hedwig M J M Nies, Suzanne Gommers, Geertruida P Bijvoet, Luuk I B Heckman, Frits W Prinzen, Gaston Vogel, Caroline M Van De Heyning, Amedeo Chiribiri, Joachim E Wildberger, Casper Mihl, Robert J Holtackers |
| المساهمون: | Beeldvorming, RS: Carim - B06 Imaging, MUMC+: DA BV Medisch Specialisten Radiologie (9), Cardiologie, RS: Carim - H01 Clinical atrial fibrillation, RS: Carim - H06 Electro mechanics, Fysiologie, MUMC+: Diagnostiek en Advies (3), MUMC+: DA Beeldvorming (5), MUMC+: DA BV Research (9) |
| المصدر: | European heart journal : cardiovascular Imaging European Heart Journal Cardiovascular Imaging, 24(3), 364-372. Oxford University Press |
| سنة النشر: | 2023 |
| مصطلحات موضوعية: | AUTOMATED FEATURE ANALYSIS, RISK, Computer. Automation, IMPACT, INFARCT SIZE, EXTENT, General Medicine, HYPERENHANCEMENT, semi-automated scar quantification, myocardial infarction, late gadolinium enhancement, CONTRAST ENHANCEMENT, IRREVERSIBLE INJURY, magnetic resonance imaging, dark-blood late gadolinium enhancement, Radiology, Nuclear Medicine and imaging, cardiovascular diseases, Human medicine, Cardiology and Cardiovascular Medicine, DELAYED ENHANCEMENT, MRI |
| الوصف: | 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. |
| اللغة: | English |
| تدمد: | 2047-2404 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7353b3eb1e5b92194ad6de52ac9e491f https://hdl.handle.net/10067/1890650151162165141 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....7353b3eb1e5b92194ad6de52ac9e491f |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 20472404 |
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