Automatic detection of microvascular obstruction in patients with myocardial infarction

Eftestøl, Trygve; Singsaas, Erlend; Engan, Kjersti; Woie, Leik; Ørn, Stein

doi:10.1109/cic.2015.7411021

Cited by 2 publications

(1 citation statement)

References 6 publications

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“…This phenomenon is seen as black regions within the hyper-enhanced regions due to the obliteration of the microvasculature. The TPM method accounts for this through an algorithm to prevent MVO from being classified as normal myocardium 14 .…”

Section: Texture-based Probability Mapping Of Cardiac Magnetic Resona...mentioning

confidence: 99%

Texture-based Probability Mapping in cardiac LGE Images: A novel automatic assessment of myocardial injury following revascularized STEMI

Frøysa,

Berg,

Singsaas

et al. 2023

Preprint

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Background: Scar size is critical to left ventricular (LV) remodeling and adverse outcomes following myocardial infarction (MI). Late Gadolinium-enhancement (LGE) in cardiac magnetic resonance imaging is the gold standard for assessing MI size. Texture-based probability mapping (TPM) is a novel machine learning-based analysis of LGE images. This proof-of-concept study investigates the potential clinical implications of temporal changes in TPM during the first year following an acute revascularized MI. Methods: 41 patients with first-time acute ST-elevation MI were included in this study. All patients had a single-vessel disease and were successfully revascularized by primary percutaneous coronary intervention. LGE images were obtained two days, one week, two months, and one year post-MI. MI size by TPM was compared with manual LGE-based MI calculation, LV remodeling, and biomarkers. Results: TPM showed a significant increase in infarct size from the second month through the first year (p<0.01). MI size estimated by TPM at all different time points demonstrated strong correlations with peak Troponin T levels. At one week, TPM assessment correlated positively with maximum C-reactive protein (r=0.54, p<0.01), and at two months, TPM positively correlated with N-Terminal Pro Brain Natriuretic Peptide. Conclusion: This proof-of-concept study suggests that TPM may provide additional information to conventional LGE-based MI analysis of scar formation, LV remodeling, and biomarkers following an acute revascularized MI.

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Section: Texture-based Probability Mapping Of Cardiac Magnetic Resona...mentioning

confidence: 99%

Texture-based Probability Mapping in cardiac LGE Images: A novel automatic assessment of myocardial injury following revascularized STEMI

Frøysa,

Berg,

Singsaas

et al. 2023

Preprint

Self Cite

View full text Add to dashboard Cite

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Automated Segmentation Technique for Detection of Myocardial Contours in Cardiac MRI

Sushmitha

Gupta

Chandrakala

2019

2019 International Conference on Communication and Electronics Systems (ICCES)

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Automatic detection of microvascular obstruction in patients with myocardial infarction

Cited by 2 publications

References 6 publications

Texture-based Probability Mapping in cardiac LGE Images: A novel automatic assessment of myocardial injury following revascularized STEMI

Texture-based Probability Mapping in cardiac LGE Images: A novel automatic assessment of myocardial injury following revascularized STEMI

Automated Segmentation Technique for Detection of Myocardial Contours in Cardiac MRI

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