Prevalence, Correlates, and Prognostic Relevance of Myocardial Mechanical Dispersion as Assessed by Feature-Tracking Cardiac Magnetic Resonance After a First ST-Segment Elevation Myocardial Infarction

Muser, Daniele; Tioni, Chiara; Shah, Ranjit; Selvanayagam, Joseph B.; Nucifora, Gaetano

doi:10.1016/j.amjcard.2017.05.019

Cited by 24 publications

(18 citation statements)

References 22 publications

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“…the size of LGE expressed as % of LV myocardium) and the presence of microvascular obstruction (MVO) were determined as previously described. [3,12] Cine-CMR basal, mid and apical short-axis images were analysed offline using 2D Cardiac Performance Analysis Software (TomTec, Munich, Germany).…”

Section: Accepted Manuscriptmentioning

confidence: 99%

Prognostic value of myocardial deformation imaging by cardiac magnetic resonance feature-tracking in patients with a first ST-segment elevation myocardial infarction

Nucifora

Muser

Tioni

et al. 2018

International Journal of Cardiology

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Section: Accepted Manuscriptmentioning

confidence: 99%

Prognostic value of myocardial deformation imaging by cardiac magnetic resonance feature-tracking in patients with a first ST-segment elevation myocardial infarction

Nucifora

Muser

Tioni

et al. 2018

International Journal of Cardiology

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“…We have reported GCS to be significantly and independently associated to the occurrence of a composite endpoint including cardiovascular death, aborted SCD and hospitalization for heart failure (HR 1.16; 95%CI: 1.07-1.25; P < 0.001) during a median follow-up of 95 mo in a population of 180 patients admitted for a first STEMI and who underwent CMR imaging a median of 8 d following the index event[ 29 ]. We have also reported how early assessment (median of 7 d after STEMI) of LV mechanical dispersion defined as the standard deviation of the time-to-peak CS of the LV segments, is significantly and independently related to the occurrence of MACE (HR 1.39, 95%CI: 1.20-1.62, P < 0.001) (Figure 2 )[ 30 ].…”

Section: Clinical Applicationsmentioning

confidence: 99%

“…The software automatically calculates the circumferential strain of each myocardial segment; B: Example of a patient with homogenous LV contraction; C: Example of a patient with extreme regional heterogeneity of myocardial contraction. Reprinted with permission from Muser et al[ 30 ].…”

Section: Clinical Applicationsmentioning

confidence: 99%

“…Increasing efforts have been made in the last years to better select optimal candidates to CRT but also to identify the best site for LV lead implantation in order to maximize the chances of response[ 57 , 58 ]. For this reason, CMR has emerged as a valuable technique been able to noninvasively evaluate LV activation patterns and dyssynchrony[ 30 , 45 , 59 ]. Taylor et al[ 60 ] have demonstrated that CRT implantation guided by determination of segments with latest mechanical activation (defined by time to peak systolic CS) and absence of LGE is able to improve LV reverse remodeling as well as long term survival and reduce the risk of hospitalizations for heart failure.…”

Section: Clinical Applicationsmentioning

confidence: 99%

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Clinical applications of feature-tracking cardiac magnetic resonance imaging

Muser¹,

Castro²,

Santangeli³

et al. 2018

WJC

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Cardiovascular diseases represent the leading cause of mortality and morbidity in the western world. Assessment of cardiac function is pivotal for early diagnosis of primitive myocardial disorders, identification of cardiac involvement in systemic diseases, detection of drug-related cardiac toxicity as well as risk stratification and monitor of treatment effects in patients with heart failure of various etiology. Determination of ejection fraction with different imaging modalities currently represents the gold standard for evaluation of cardiac function. However, in the last few years, cardiovascular magnetic resonance feature tracking techniques has emerged as a more accurate tool for quantitative evaluation of cardiovascular function with several parameters including strain, strain-rate, torsion and mechanical dispersion. This imaging modality allows precise quantification of ventricular and atrial mechanics by directly evaluating myocardial fiber deformation. The purpose of this article is to review the basic principles, current clinical applications and future perspectives of cardiovascular magnetic resonance myocardial feature tracking, highlighting its prognostic implications.

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“…These techniques also require the acquisition of additional multiple breath-hold data sets with appropriate MRI sequences and extend overall examination duration. Alternatively, MRI feature tracking is an approach that differentiates regional myocardial morphology and cardiac wall motion abnormalities resulting from MI (18,19) on non-contrast-enhanced cardiac cine MRI, which is acquired as part of a standard cardiac MRI examination. However, only the presence and position information of the MI can be extracted from these examinations and these techniques may be further limited by the need for time-consuming processing after the examination.…”

mentioning

confidence: 99%

Deep Learning for Diagnosis of Chronic Myocardial Infarction on Nonenhanced Cardiac Cine MRI

Zhang¹,

Yang²,

Gao³

et al. 2019

Radiology

161

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iagnosis of chronic myocardial infarction (MI) is an important clinical task because the management of and treatment planning for patients is different for chronic MI versus acute MI (1,2). The extent of chronic MI, including location, size, and transmurality, provides rich information for patient diagnosis, prognosis, and therapy planning (3). Therefore, accurate delineation and comprehensive evaluation of chronic MI is of great clinical interest. Late gadolinium enhancement (LGE) MRI has been established as the ground truth reference technique for chronic MI evaluation (4-6). However, including LGE MRI in the MRI examination extends the scanning duration and there are also growing concerns about its safety (7-9). While LGE MRI is contraindicated in patients with severe renal impairment, a recent study has also shown that gadolinium might deposit into the skin, dentate nucleus, and globus pallidus of patients with normal renal function (10). A reliable technique to detect and delineate MI without the need for gadolinium-based contrast agent would therefore be highly desirable. T1 and T2 mapping techniques (11) are non-contrast material-enhanced approaches that show longer T1 and T2 relaxation times in acute MI compared with normal myocardium. In comparison, while T1 relaxation time is

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Prevalence, Correlates, and Prognostic Relevance of Myocardial Mechanical Dispersion as Assessed by Feature-Tracking Cardiac Magnetic Resonance After a First ST-Segment Elevation Myocardial Infarction

Cited by 24 publications

References 22 publications

Prognostic value of myocardial deformation imaging by cardiac magnetic resonance feature-tracking in patients with a first ST-segment elevation myocardial infarction

Prognostic value of myocardial deformation imaging by cardiac magnetic resonance feature-tracking in patients with a first ST-segment elevation myocardial infarction

Clinical applications of feature-tracking cardiac magnetic resonance imaging

Deep Learning for Diagnosis of Chronic Myocardial Infarction on Nonenhanced Cardiac Cine MRI

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