Abstract

BackgroundMyocardial infarction (MI; location and extent of infarction) can be determined by late enhancement cardiac magnetic resonance (CMR) imaging, which requires the injection of a potentially harmful gadolinium-based contrast agent (GBCA). Alternatively, emerging research in the area of myocardial strain has shown potential to identify MI using strain values.ObjectiveThis study aims to identify the location of MI by developing an applied algorithmic method of circumferential strain (CS) values, which are derived through a novel hierarchical template matching (HTM) method.MethodsHTM-based CS H-spread from end-diastole to end-systole was used to develop an applied method. Grid-tagging magnetic resonance imaging was used to calculate strain values in the left ventricular (LV) myocardium, followed by the 16-segment American Heart Association model. The data set was used with k-fold cross-validation to estimate the percentage reduction of H-spread among infarcted and noninfarcted LV segments. A total of 43 participants (38 MI and 5 healthy) who underwent CMR imaging were retrospectively selected. Infarcted segments detected by using this method were validated by comparison with late enhancement CMR, and the diagnostic performance of the applied algorithmic method was evaluated with a receiver operating characteristic curve test.ResultsThe H-spread of the CS was reduced in infarcted segments compared with noninfarcted segments of the LV. The reductions were 30% in basal segments, 30% in midventricular segments, and 20% in apical LV segments. The diagnostic accuracy of detection, using the reported method, was represented by area under the curve values, which were 0.85, 0.82, and 0.87 for basal, midventricular, and apical slices, respectively, demonstrating good agreement with the late-gadolinium enhancement–based detections.ConclusionsThe proposed applied algorithmic method has the potential to accurately identify the location of infarcted LV segments without the administration of late-gadolinium enhancement. Such an approach adds the potential to safely identify MI, potentially reduce patient scanning time, and extend the utility of CMR in patients who are contraindicated for the use of GBCA.

Highlights

  • IntroductionAmong Cardiovascular diseases (CVDs), myocardial infarction (MI) can result from chronic progressive coronary atheromatous disease, with subsequent plaque rupture and thrombosis

  • BackgroundCardiovascular diseases (CVDs) account for 31% of global deaths [1]

  • The proposed applied algorithmic method has the potential to accurately identify the location of infarcted left ventricular (LV) segments without the administration of late-gadolinium enhancement

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Summary

Introduction

Among CVDs, myocardial infarction (MI) can result from chronic progressive coronary atheromatous disease, with subsequent plaque rupture and thrombosis. Depending on the extent of infarction, there is potential for adverse myocardial remodeling, and subsequently, heart failure [2]. Ischemia can be demonstrated using cardiac magnetic resonance (CMR) imaging by assessing the first-pass perfusion, following the use of a vasodilator stress agent such as adenosine [3]. As a part of the myocardial viability test, it is crucial to show the location and extent of the infarcted myocardium [3]. Myocardial infarction (MI; location and extent of infarction) can be determined by late enhancement cardiac magnetic resonance (CMR) imaging, which requires the injection of a potentially harmful gadolinium-based contrast agent (GBCA). Emerging research in the area of myocardial strain has shown potential to identify MI using strain values

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